PGMODAYS 2025: PGMODAYS 2025

This page contains an index consisting of author-provided keywords.

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$\alpha$-fair allocation	Best-Response Learning in Budgeted $\alpha$-Fair Kelly Mechanisms
$\Gamma$-convergence	From Nash to Cournot-Nash via $\Gamma$-convergence
A
Acceleration methods	High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
adaptive robust optimization	Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Forecasting with Missing Data
additive manufacturing	Topology Optimization with Local Perimeter Constraints and Non-Linear Filtering for Minimum Length and Overhang Control
Adjoint-state method	Optimal Control of the Coagulation-Fragmentation Equation
Aggregation	Modelling Dynamical Constraints and Maintenance within Aggregated Unit Commitment Problem using Mixed Integer Linear Programming
Aggregative Games	Prospect Theoretic Models of Irrationality in Aggregative Games
Aggregative Optimization	Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control
Algebraic varieties	Lissajous varieties
Algorithm Selection	Dynamic Algorithm Configuration: Challenges and Opportunities
Algorithmic complexity	Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems
alternating minimization	Gradient Descent and Flows with General Costs
Approximation ratio	Guaranteed performance in short-time quantum annealing
artificial neuron design	Exploiting Subgradient Sparsity in Max-Plus Neural Networks
asymptotic analysis	On convergence rates of regularized unbalanced optimal transport: the discrete case
auctions	Best-Response Learning in Budgeted $\alpha$-Fair Kelly Mechanisms
B
Bandit feedback	No-Regret Gaussian Process Optimization of Time-Varying Functions
Bandit setting	Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
bandits	Decentralised energy management of large-scale EV fleets: some results from the ANR EDEN4SG project
Battery Degradation	Dominance Properties for Electricity Distribution Planning with Battery Cycling Considerations
battery system	Optimal Operation of a Battery System Considering Uncertainties on Energy Prices: a Least-Square Monte Carlo Approach
Bayesian optimization	A Sequential Bayesian Approach to Gaussian Process Quantile Regression for Optimization
Benchmarking	A Knowledge Management Open Science Approach for Black-Box Optimization Benchmarking
Benders decomposition	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach A Benders decomposition approach for the EV charging facility location-and-operation problem Implementation of a Multi-year Generation and Transmission Expansion Planning Problem in an Industrial Context
Benders' Decomposition	Enhanced Benders' Decomposition for Stochastic Unit Commitment Using Interval Variables
Bilevel Model	A Bilevel Optimization Model to share Decarbonization Efforts between French Regions : some qualitative Results
bilevel optimization	Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities A spatial branch-and-price-and-cut algorithm for the continuous network design problem
Bilevel programming	A Benders decomposition approach for the EV charging facility location-and-operation problem
Biomathematics	Optimisation des traitements microbiens : géométrie des trajectoires dans les systèmes Lotka–Volterra
Bioprocesses	Bang-Bang Light Control in Optogenetic Bioprocess Models: Optimal Protein Production in Yeast
Black-Box Optimization	Dynamic Algorithm Configuration: Challenges and Opportunities A Knowledge Management Open Science Approach for Black-Box Optimization Benchmarking
Blackbox optimization	Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES
block coordination	Decomposition for handling storage in power generation expansion planning
Branch and Bound	Average case analysis of Branch and Bound algorithms: Is there potential for quantum advantage?
Branch-and-bound	Model-Based Reinforcement Learning for Exact Combinatorial Optimization
Branch-and-cut	Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
branched optimal transport	On Degree of a Branching Point in Branched Optimal Transport (aka Gilbert--Steiner Problem) Branched Optimal Transport and Fractal Measures in Type-I Superconductors
Bures-Wasserstein geometry	On the Wasserstein Geodesic Principal Component Analysis of probability measures
C
cable routing optimization	From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
Car sharing	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach
Chaining	Dynamic Algorithm Configuration: Challenges and Opportunities
Chance constraints	On Multidimensional Disjunctive Inequalities for Chance-Constrained Stochastic Problems with Finite Support
Charging facility location-and-operation problem	A Benders decomposition approach for the EV charging facility location-and-operation problem
Chattering	Chattering in Homogeneous Linearly Controlled Systems
Chemostat system	Stability and Optimization of Perturbed Chemostat Systems
Cholesky decomposition	MadIPM: a GPU-accelerated solver for linear programming
Co-Kriging	Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
Coagulation-fragmentation equation	Optimal Control of the Coagulation-Fragmentation Equation
code generation	Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
Collision	Control of Collision Orbits
Column generation	Integrating crew scheduling and cyclic crew rostering for rail freight with train delays A technician routing and scheduling problem with a lexicographic objective QUBO for the Min-Up/Min-Down UCP: Penalty Tuning and Decomposition Approach
Combinatorial Optimization	Commodity Maritime Flow Determination Modeling Aggregate Electric Vehicle Flexibility in Unit Commitment Problems with Generalized Polymatroids Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization Integrating Revenue Management into the Supply Chain for New Vehicles’ Distribution at Renault Group
Comparison Functions	A Parametric Optimization Approach To Comparison Functions
complementarity problems	A robust method for complementarity problems using a geometric viewpoint
Complexity	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions MINimum CYcle bases with maximum INtersection in TEmporal GRaphs: ALgorithms and complexITY
Complexity theory	A Universal Uniform Approximation Theorem for Neural Networks
conditional infimum	Conditional Infimum, Hidden Convexity and One-Sided Linear Couplings
conic constraints	SAA Consistency for Optimal Control Problems with Almost Sure State Constraints
constrained convex optimization	A Dynamical Approach to Solving Smooth Saddle Point Problems
Constrained Optimization	Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
Constrained optimziation	Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES
Constrained Variational Inequalities	Asymptotic behavior of penalty dynamics for constrained variational inequalities
contextual stochastic programming	Geometry Decision Focused Scenario Generation for Contextual Two-Stage Stochastic Linear Programming
Continuity of Optimal Value	A Parametric Optimization Approach To Comparison Functions
Continuous optimization	Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES
Control	Stability and Optimization of Perturbed Chemostat Systems Control of Collision Orbits
Control theory	Control-Based Design of Online Optimization Algorithms
convergence	Gradient Descent and Flows with General Costs
Convergence analysis	Solving Parametric Linear Matrix Inequalities and Convergence Analysis in Optimization
convex analysis	On convergence rates of regularized unbalanced optimal transport: the discrete case
convex composite	One-Sided Linear Couplings with Application to Sparse Optimization
Convex optimization	Preconditioned Primal Dual Algorithms in Convex Optimization Convex Optimization Methods for Nonlinear Control of Synchronous Motors in Transportation Electrification Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates An Augmented Lagrangian Algorithm with inexact proximal method and its application to a Mean-Field Control problem Bias-Optimal Bounds for SGD: A Computer-Aided Lyapunov Analysis Relaxed and Inertial Nonlinear Forward–Backward with Momentum Metric Extrapolation and Generalized Wasserstein Barycenter Lissajous varieties
Convex smooth optimization	Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems
Convexity	A Characterization of Capra-Convex Sets
counterexample	A COUNTEREXAMPLE TO SMOOTHNESS OF ENERGY-MINIMIZERS IN SUB-RIEMANNIAN GEOMETRY
Cournot-Nash equilibria	From Nash to Cournot-Nash via $\Gamma$-convergence
crew rostering	Integrating crew scheduling and cyclic crew rostering for rail freight with train delays
crew scheduling	Integrating crew scheduling and cyclic crew rostering for rail freight with train delays
curtailment	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
cutting plane	One-Sided Linear Couplings with Application to Sparse Optimization
Cycle	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm
cyclic degradation	Optimal Operation of a Battery System Considering Uncertainties on Energy Prices: a Least-Square Monte Carlo Approach
D
data-driven uncertainty set partitioning adversarial learning	Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Forecasting with Missing Data
Datasets	Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Decarbonization	A Bilevel Optimization Model to share Decarbonization Efforts between French Regions : some qualitative Results
Decaying sensitivity	Separable Representations of Optimal Value Functions via Neural Networks
decentralized resource allocation	Best-Response Learning in Budgeted $\alpha$-Fair Kelly Mechanisms
Decision-dependent uncertainty	Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
decision-focused learning	Geometry Decision Focused Scenario Generation for Contextual Two-Stage Stochastic Linear Programming
Decomposition techniques	QUBO for the Min-Up/Min-Down UCP: Penalty Tuning and Decomposition Approach
deep active learning	Deep Active Learning-driven Acceleration of Smart Grids Security Assessment
deep learning	Finite-Difference Least Square Method for Solving Hamilton-Jacobi Equations Using Neural Networks
Deep neural networks	A time-dependent symplectic network for non-convex path planning problems with linear and nonlinear dynamics
Delayed algorithms	Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
Demand response	Trilevel Optimization for Demand Response in Electric Vehicle Charging Networks
Derivative-free optimization	Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES
Differential Equations	A Learning-Based Approach for Traffic State Reconstruction from Limited Data
directional derivative	Optimality Conditions and Algorithms for Optimization on Nonlinear Metric Spaces
Discontinuous dynamics	Regularization of optimal control problems on stratified domains using additional controls
Discrete optimization	Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
distributed game	Distributed games with jumps: An alpha-potential game approach
Distributionally Robust Control	Distributionally Robust Optimization for Optimal Control problems with Pontryagin's Maximum Principle
distributionally robust optimization	Generalization meets nonsmoothness in Wasserstein distributionally robust optimization Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Districting Problem	A two-level healthcare districting problem : A mathematical programming approach
Douglas-Rachford Splitting	Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control
Duality	A Characterization of Law-Invariant Coherent Risk Measures Through Optimal Transport
Dynamic algorithm configuration	Dynamic Algorithm Configuration for Next-Generation Optimization
Dynamic constraints	Modelling Dynamical Constraints and Maintenance within Aggregated Unit Commitment Problem using Mixed Integer Linear Programming
dynamic population size	Speeding Up the NSGA-II via Dynamic Population Sizes
dynamic pricing	Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction
dynamic probabilistic constraints	Probabilistic Groundwater Control
Dynamic programming	Continuity of Bellman functions in stochastic optimization and control Thriving despite toxicity: in boom-and-bust environments, microbial pacifists often win even against optimal-control-theory-aided antagonists. Bellman equations in extended optimal stochastic control
Dynamic Security Assessment	Towards Trustworthy AI for Power System Operation
Dynamical Systems	Asymptotic behavior of penalty dynamics for constrained variational inequalities
E
Electric vehicle	Trilevel Optimization for Demand Response in Electric Vehicle Charging Networks
Electric Vehicle Aggregation	Modeling Aggregate Electric Vehicle Flexibility in Unit Commitment Problems with Generalized Polymatroids
electric vehicle charging	Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction
electric vehicles	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach Nash equilibrium of a non-atomic game with heterogeneous players sensitive to queueing time
elliptic PDE	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs
Emergency departments	Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
Energy	Airports Energy Optimization with Optimal Control and AI
Energy Community	An iterative deal approach to increase self-consumption for a high-voltage energy community
energy forecasting	Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Forecasting with Missing Data
energy prices uncertainties	Optimal Operation of a Battery System Considering Uncertainties on Energy Prices: a Least-Square Monte Carlo Approach
energy transition	Green Hydrogen Viability in the Transition to a Fully-Renewable Energy Grid A Bilevel Optimization Model to share Decarbonization Efforts between French Regions : some qualitative Results
Energy-efficient manufacturing	A multi-stage stochastic integer programming model and branch-and-SDDP algorithm for industrial production planning under intermittent renewable energy
entropic regularization	On convergence rates of regularized unbalanced optimal transport: the discrete case
epidemiological models	On the problem of minimizing the epidemic final size for SIR model by social distancing
ERAA data	Modelling Dynamical Constraints and Maintenance within Aggregated Unit Commitment Problem using Mixed Integer Linear Programming
Evolutionary algorithms	Evolutionary Algorithms Are Robust to Noise out of the Box Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
evolutionary computation	Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
F
feedback control	Learning Value Functions with High-order Information
Fenchel-Moreau conjugate	A Characterization of Capra-Convex Sets
Fillipov solutions	Regularization of optimal control problems on stratified domains using additional controls
finite-difference methods	Finite-Difference Least Square Method for Solving Hamilton-Jacobi Equations Using Neural Networks
Finite-time stabilization	Finite-Time Stabilization via Optimal Control Techniques
Flexibility	An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation
Flow Consolidation in Supply Chain	Optimizing a Worldwide-Scale Shipper Transportation Planning in a Carmaker Inbound Supply Chain
Fokker-Planck equations	Optimal Control and Stabilisation of Fokker-Planck and McKean-Vlasov Equations
forecast error model	A probabilistic approach for a local day-ahead network congestion signal
Formal neural networks	A Universal Uniform Approximation Theorem for Neural Networks
Fractal measures	Branched Optimal Transport and Fractal Measures in Type-I Superconductors
G
G-Polymatroids	Modeling Aggregate Electric Vehicle Flexibility in Unit Commitment Problems with Generalized Polymatroids
Game Theory	Best-Response Learning in Budgeted $\alpha$-Fair Kelly Mechanisms An iterative deal approach to increase self-consumption for a high-voltage energy community Prospect Theoretic Models of Irrationality in Aggregative Games
game-theoretic motion planning	Distributed games with jumps: An alpha-potential game approach
Gas insulated substations (GIS)	Optimization of Maintenance Scheduling and Task Clustering in Gas-Insulated Substations
gas mixtures	Flow of Gas Mixtures in Networks: Modeling and Multi-Objective Optimization
Gas Network Control	Probabilistic Robustness for Compressor Controls in Transient Pipeline Networks
Gause–Lotka–Volterra–Kolmogorov equation	Optimisation des traitements microbiens : géométrie des trajectoires dans les systèmes Lotka–Volterra
Gaussian Processes	No-Regret Gaussian Process Optimization of Time-Varying Functions A Sequential Bayesian Approach to Gaussian Process Quantile Regression for Optimization
generalization	Generalization meets nonsmoothness in Wasserstein distributionally robust optimization
generalized convexity	Strongly Quasiconvex Functions: What We Know (so far)
Generation and Transmission Expansion Planning Stochastic Optimization	Implementation of a Multi-year Generation and Transmission Expansion Planning Problem in an Industrial Context
Generative modelling	Lipschitz continuity of diffusion transport maps from a control perspective
Geodesic PCA	On the Wasserstein Geodesic Principal Component Analysis of probability measures
Geometric optimal control	Optimisation des traitements microbiens : géométrie des trajectoires dans les systèmes Lotka–Volterra
Gibbs gradient flow	Gibbs Gradient Descent: A Langevin Approach To Optimization
Gilbert--Steiner problem	On Degree of a Branching Point in Branched Optimal Transport (aka Gilbert--Steiner Problem)
Gradient	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm
gradient descent	Gradient Descent and Flows with General Costs
grid constraints	Decentralised energy management of large-scale EV fleets: some results from the ANR EDEN4SG project
grokking	A Theoretical Framework for Grokking: Interpolation Followed by Riemannian Norm Minimisation
H
Hamilton Jacobi Bellman equation	Lipschitz continuity of diffusion transport maps from a control perspective
Hamilton-Jacobi	State-Constrained Optimal Control on Wasserstein Spaces of Riemannian Manifolds
Hamilton-Jacobi equation	Approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls
Hamilton-Jacobi equations	Finite-Difference Least Square Method for Solving Hamilton-Jacobi Equations Using Neural Networks
Hamilton-Jacobi-Bellman equation	Finite-Time Stabilization via Optimal Control Techniques
Hamilton-Jacobi-PDEs	Learning Value Functions with High-order Information
Healthcare System	A two-level healthcare districting problem : A mathematical programming approach
Heat flow transport map	Lipschitz continuity of diffusion transport maps from a control perspective
Heavy-Ball	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm
Hessian-driven damping	High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
Heterogeneous Interactions	Approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls
heuristic optimization	Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
hidden convexity	Conditional Infimum, Hidden Convexity and One-Sided Linear Couplings
Hierarchical Variational Inequalities	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities
high-dimensional approximation	Learning Value Functions with High-order Information
High-dimensional stochastic control	Approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls
High-resolution dynamics	High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
Homogeneous control systems	Chattering in Homogeneous Linearly Controlled Systems
hydrogen blending	Flow of Gas Mixtures in Networks: Modeling and Multi-Objective Optimization
Hydrogen Energy Storage	Green Hydrogen Viability in the Transition to a Fully-Renewable Energy Grid
Hydrothermal Dispatch	Bridging classical optimization and reinforcement learning in power systems: a value-based approach
I
ILP	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
Inequality Constrained Optimization	A Saddle Point Algorithm for Stochastic Multi-Objective Optimization with Inequality Constraints
Inertial methods	Relaxed and Inertial Nonlinear Forward–Backward with Momentum
infinite horizon	On the problem of minimizing the epidemic final size for SIR model by social distancing
Input Convex Neural Networks	Introducing ISCNNs: Input Smooth Convex Neural Networks
Integer Programming	Strong Total Cover and Mixed Dominating Set Problems: Polyhedra and Algorithms
interior-point method	MadIPM: a GPU-accelerated solver for linear programming
interpretable machine learning	On Constructing Optimal Risk Scores via Mathematical Optimization
Inverse Function Theorem	A Newton-Kantorovich-type Theorem in Quasi-Metric Spaces
Iterated Local Search	Optimizing a Worldwide-Scale Shipper Transportation Planning in a Carmaker Inbound Supply Chain
J
joint chance state constraints	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs
K
Kelly mechanism	Best-Response Learning in Budgeted $\alpha$-Fair Kelly Mechanisms
Kernel Density Estimation	Probabilistic Robustness for Compressor Controls in Transient Pipeline Networks
Kite	A kite-based generator for airborne wind energy: modelling and optimisation
Krasnoselskii-Mann Iteration	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities
L
L0 regularization path	Toward L0 solution path via L0 Bregman relaxations
L0-Bregman relaxations	Optimization landscape of L0-Bregman relaxations
L1 controls	On the problem of minimizing the epidemic final size for SIR model by social distancing
Lagrangian discretization	Particle Method for a Nonlinear Multimarginal Optimal Transport Problem
Large Scale Optimization	Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control
large-scale smart grids	Decentralised energy management of large-scale EV fleets: some results from the ANR EDEN4SG project
Last iterate	Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems
least squares principle	Finite-Difference Least Square Method for Solving Hamilton-Jacobi Equations Using Neural Networks
Lexicographic objective	A technician routing and scheduling problem with a lexicographic objective
Lieb-Robinson bound	Guaranteed performance in short-time quantum annealing
Limit Cycle	A kite-based generator for airborne wind energy: modelling and optimisation
Linear matrix inequality	Solving Parametric Linear Matrix Inequalities and Convergence Analysis in Optimization
linear programming	MadIPM: a GPU-accelerated solver for linear programming
Linear system	Finite-Time Stabilization via Optimal Control Techniques
Linearly controlled systems	Chattering in Homogeneous Linearly Controlled Systems
Linking continuous variables	A Benders decomposition approach for the EV charging facility location-and-operation problem
Lipschitz Continuous ICNNs	Introducing ISCNNs: Input Smooth Convex Neural Networks
local perimeter	Topology Optimization with Local Perimeter Constraints and Non-Linear Filtering for Minimum Length and Overhang Control
locality	Guaranteed performance in short-time quantum annealing
log-barrier methods	Geometry Decision Focused Scenario Generation for Contextual Two-Stage Stochastic Linear Programming
long-term planning	Decomposition for handling storage in power generation expansion planning
Longstaff-Schwartz	Optimal Operation of a Battery System Considering Uncertainties on Energy Prices: a Least-Square Monte Carlo Approach
lot-sizing	A multi-stage stochastic integer programming model and branch-and-SDDP algorithm for industrial production planning under intermittent renewable energy Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
Lyapunov Analysis	Bias-Optimal Bounds for SGD: A Computer-Aided Lyapunov Analysis
M
machine learning	Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms A Learning-Based Approach for Traffic State Reconstruction from Limited Data Generalization meets nonsmoothness in Wasserstein distributionally robust optimization Integrating Revenue Management into the Supply Chain for New Vehicles’ Distribution at Renault Group Deep Active Learning-driven Acceleration of Smart Grids Security Assessment
Maintenance Optimization	Estimating Maintenance Cost of Offshore Electrical Substations
Maritime Flow	Commodity Maritime Flow Determination
Markov Decision Process	Estimating Maintenance Cost of Offshore Electrical Substations Integrating Revenue Management into the Supply Chain for New Vehicles’ Distribution at Renault Group
Master Bellman equation	Extended mean field control: a global numerical solution via finite-dimensional approximation
Mathematical Programming	An iterative deal approach to increase self-consumption for a high-voltage energy community
Matroids intersection problem	MINimum CYcle bases with maximum INtersection in TEmporal GRaphs: ALgorithms and complexITY
Maximum-Cut	Guaranteed performance in short-time quantum annealing
McKean-Vlasov equations	Optimal Control and Stabilisation of Fokker-Planck and McKean-Vlasov Equations
Mean field control	Extended mean field control: a global numerical solution via finite-dimensional approximation Approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls Moment Constrained Optimal Transport for Energy Demand Management
mean field limit	From Nash to Cournot-Nash via $\Gamma$-convergence
Mean-field games	An Augmented Lagrangian Algorithm with inexact proximal method and its application to a Mean-Field Control problem
metaheuristic	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
microbial competition	Thriving despite toxicity: in boom-and-bust environments, microbial pacifists often win even against optimal-control-theory-aided antagonists.
MILP	Commodity Maritime Flow Determination Symmetry-breaking techniques in MILP and application to the Unit Commitment Problem
Min-time trajectories	Control of Collision Orbits
minimal network	Irregular Examples of Indecomposable Steiner trees with Infinite Number of Branching Points
minimum C-function	A robust method for complementarity problems using a geometric viewpoint
Minimum cycle basis	MINimum CYcle bases with maximum INtersection in TEmporal GRaphs: ALgorithms and complexITY
mirror descent	Mirror and Preconditioned Gradient Descent in Wasserstein Space
missing data	Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Forecasting with Missing Data
Mixed Dominating Set	Strong Total Cover and Mixed Dominating Set Problems: Polyhedra and Algorithms
Mixed integer linear programming	Modelling Dynamical Constraints and Maintenance within Aggregated Unit Commitment Problem using Mixed Integer Linear Programming Optimization of Maintenance Scheduling and Task Clustering in Gas-Insulated Substations
Mixed Integer Linear Programming Formulation	A two-level healthcare districting problem : A mathematical programming approach
mixed integer programming	Decomposition for handling storage in power generation expansion planning
Mixed-integer linear optimization	On Multidimensional Disjunctive Inequalities for Chance-Constrained Stochastic Problems with Finite Support
Mixed-integer linear programming	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach Model-Based Reinforcement Learning for Exact Combinatorial Optimization
mixed-integer non-linear optimization	On Constructing Optimal Risk Scores via Mathematical Optimization
Mixed-integer programming	An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation
Model-based reinforcement learning	Model-Based Reinforcement Learning for Exact Combinatorial Optimization
Modelling	A kite-based generator for airborne wind energy: modelling and optimisation
Models of computation	A Universal Uniform Approximation Theorem for Neural Networks
Monotone inclusion	Relaxed and Inertial Nonlinear Forward–Backward with Momentum
Monotone operators	Relaxed and Inertial Nonlinear Forward–Backward with Momentum
Moreau envelope	High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
motor drive systems	Convex Optimization Methods for Nonlinear Control of Synchronous Motors in Transportation Electrification
Multi-battery systems	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
multi-objective optimization	A Saddle Point Algorithm for Stochastic Multi-Objective Optimization with Inequality Constraints Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer Flow of Gas Mixtures in Networks: Modeling and Multi-Objective Optimization Speeding Up the NSGA-II via Dynamic Population Sizes
multi-stage stochastic integer programming	A multi-stage stochastic integer programming model and branch-and-SDDP algorithm for industrial production planning under intermittent renewable energy
Multihorizon Stochastic Optimization	Estimating Maintenance Cost of Offshore Electrical Substations
multimarginal transport	Particle Method for a Nonlinear Multimarginal Optimal Transport Problem
MuZero	Model-Based Reinforcement Learning for Exact Combinatorial Optimization
N
necessary optimality conditions	Probabilistic Groundwater Control
Network design	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach A spatial branch-and-price-and-cut algorithm for the continuous network design problem
Neural Network Verification	Towards Trustworthy AI for Power System Operation
Neural Networks	Separable Representations of Optimal Value Functions via Neural Networks A Learning-Based Approach for Traffic State Reconstruction from Limited Data
Newton-Kantorovich Theorem	A Newton-Kantorovich-type Theorem in Quasi-Metric Spaces
Newton-type Methods	A Newton-Kantorovich-type Theorem in Quasi-Metric Spaces
Noisy Optimization	Evolutionary Algorithms Are Robust to Noise out of the Box
non atomic game	Nash equilibrium of a non-atomic game with heterogeneous players sensitive to queueing time
Non-acceleration	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm
Non-convex online optimization	Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
non-convex optimization	Toward L0 solution path via L0 Bregman relaxations
non-linear filter	Topology Optimization with Local Perimeter Constraints and Non-Linear Filtering for Minimum Length and Overhang Control
non-quadratic data terms	Toward L0 solution path via L0 Bregman relaxations
non-smooth geometry	Synthetic Nonnegative Cross-Curvature and Spaces of Measures
Nonconvex Optimization	Optimization under Weakly-Concave Composite Structure: A Proximal-type Approach Optimization landscape of L0-Bregman relaxations Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control
nonconvexity	A robust method for complementarity problems using a geometric viewpoint
nonlinear stochastic control	Bellman equations in extended optimal stochastic control
Nonsmooth convex optimization	High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
Nonsmooth optimization	Optimization under Weakly-Concave Composite Structure: A Proximal-type Approach An Augmented Lagrangian Algorithm with inexact proximal method and its application to a Mean-Field Control problem Generalization meets nonsmoothness in Wasserstein distributionally robust optimization
nonsmoothness	A robust method for complementarity problems using a geometric viewpoint
NSGA-II	Speeding Up the NSGA-II via Dynamic Population Sizes
Nuclear power plants	An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation
Numerical approximation	Extended mean field control: a global numerical solution via finite-dimensional approximation
Numerical methods	Optimal Control and Stabilisation of Fokker-Planck and McKean-Vlasov Equations
Numerical optimization	Stability and Optimization of Perturbed Chemostat Systems
O
ODE	A kite-based generator for airborne wind energy: modelling and optimisation
one-dimensional shape optimisation	Irregular Examples of Indecomposable Steiner trees with Infinite Number of Branching Points
one-sided linear coupling	A Characterization of Capra-Convex Sets Conditional Infimum, Hidden Convexity and One-Sided Linear Couplings One-Sided Linear Couplings with Application to Sparse Optimization
Online optimization	Control-Based Design of Online Optimization Algorithms
Open Science	A Knowledge Management Open Science Approach for Black-Box Optimization Benchmarking
Operator splitting	Relaxed and Inertial Nonlinear Forward–Backward with Momentum
Opportunity Cost of Storage	Bridging classical optimization and reinforcement learning in power systems: a value-based approach
Optimal control	Optimal Control of the Coagulation-Fragmentation Equation Bang-Bang Light Control in Optogenetic Bioprocess Models: Optimal Protein Production in Yeast Airports Energy Optimization with Optimal Control and AI Learning Value Functions with High-order Information State-Constrained Optimal Control on Wasserstein Spaces of Riemannian Manifolds Finite-Time Stabilization via Optimal Control Techniques On the problem of minimizing the epidemic final size for SIR model by social distancing Finite-Difference Least Square Method for Solving Hamilton-Jacobi Equations Using Neural Networks A time-dependent symplectic network for non-convex path planning problems with linear and nonlinear dynamics Separable Representations of Optimal Value Functions via Neural Networks Regularization of optimal control problems on stratified domains using additional controls Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control
optimal control under uncertainty	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs
optimal transport	Synthetic Nonnegative Cross-Curvature and Spaces of Measures Flowing Datasets with Wasserstein over Wasserstein Gradient Flows On convergence rates of regularized unbalanced optimal transport: the discrete case Generalization meets nonsmoothness in Wasserstein distributionally robust optimization Nash equilibrium of a non-atomic game with heterogeneous players sensitive to queueing time Moment Constrained Optimal Transport for Energy Demand Management
Optimal transportation	A Characterization of Law-Invariant Coherent Risk Measures Through Optimal Transport
optimality conditions	Optimality Conditions and Algorithms for Optimization on Nonlinear Metric Spaces
optimisation	A Universal Uniform Approximation Theorem for Neural Networks A Theoretical Framework for Grokking: Interpolation Followed by Riemannian Norm Minimisation
Optimization	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm Gibbs Gradient Descent: A Langevin Approach To Optimization Conditional Infimum, Hidden Convexity and One-Sided Linear Couplings A Learning-Based Approach for Traffic State Reconstruction from Limited Data Dynamic Algorithm Configuration for Next-Generation Optimization One-Sided Linear Couplings with Application to Sparse Optimization Optimization of Maintenance Scheduling and Task Clustering in Gas-Insulated Substations A kite-based generator for airborne wind energy: modelling and optimisation
Optimization of large-scale systems	Airports Energy Optimization with Optimal Control and AI
Optimization on Metric Spaces	A Newton-Kantorovich-type Theorem in Quasi-Metric Spaces
optimization on nonlinear space	Optimality Conditions and Algorithms for Optimization on Nonlinear Metric Spaces
Optogenetics	Bang-Bang Light Control in Optogenetic Bioprocess Models: Optimal Protein Production in Yeast
Otto-Wasserstein geometry	On the Wasserstein Geodesic Principal Component Analysis of probability measures
outer-approximation	On Constructing Optimal Risk Scores via Mathematical Optimization
P
parallel programming	MadIPM: a GPU-accelerated solver for linear programming
Parametric Optimization	A Parametric Optimization Approach To Comparison Functions
Path planning	A time-dependent symplectic network for non-convex path planning problems with linear and nonlinear dynamics
PDE-constrained optimisation	Optimal Control and Stabilisation of Fokker-Planck and McKean-Vlasov Equations
PDE-constrained optimization	SAA Consistency for Optimal Control Problems with Almost Sure State Constraints Probabilistic Groundwater Control
Penalty Dynamics	Asymptotic behavior of penalty dynamics for constrained variational inequalities
Penalty method	Regularization of optimal control problems on stratified domains using additional controls
perfect matching	Bollobás–Meir Conjecture for the TSP in the Unit Cube Holds Asymptotically
Performance Estimation	Counter-examples in first-order optimization: a constructive approach and application to Heavy-Ball algorithm
Performance Estimation Problem	Bias-Optimal Bounds for SGD: A Computer-Aided Lyapunov Analysis
Performance evaluation	Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
Perturbed dynamics	Stability and Optimization of Perturbed Chemostat Systems
Petri nets with priorities	Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
Physics Informed Learning	A time-dependent symplectic network for non-convex path planning problems with linear and nonlinear dynamics
Physics-informed	Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
Physics-Informed Neural Networks	Towards Trustworthy AI for Power System Operation
piecewise affine maps	Convex Optimization Methods for Nonlinear Control of Synchronous Motors in Transportation Electrification
Piecewise-Deterministic Markov Processes	Thriving despite toxicity: in boom-and-bust environments, microbial pacifists often win even against optimal-control-theory-aided antagonists.
Piecewiselinear Dynamics	Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
pipeline networks	Flow of Gas Mixtures in Networks: Modeling and Multi-Objective Optimization
policy-gradient algorithm	Distributed games with jumps: An alpha-potential game approach
Polyak-Łojasiewicz property	Optimality Conditions and Algorithms for Optimization on Nonlinear Metric Spaces
Polyhedral Combinatorics	Strong Total Cover and Mixed Dominating Set Problems: Polyhedra and Algorithms
Polyhedral Computation	Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
Polyhedral geometry	Lissajous varieties
Polynomial optimization	Rational SOS certificates of any polynomial with integer coefficients
Pontryagin maximum principle	Optimal Control of the Coagulation-Fragmentation Equation
Pontryagin's Maximum Principle	Distributionally Robust Optimization for Optimal Control problems with Pontryagin's Maximum Principle
Population dynamics	Optimisation des traitements microbiens : géométrie des trajectoires dans les systèmes Lotka–Volterra
portfolio optimization	Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Potential game	Distributed games with jumps: An alpha-potential game approach
power flow	Deep Active Learning-driven Acceleration of Smart Grids Security Assessment
Power system modeling	An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation
preconditioned gradient descent	Mirror and Preconditioned Gradient Descent in Wasserstein Space
Predictive maintenance	Optimization of Maintenance Scheduling and Task Clustering in Gas-Insulated Substations
preference list	Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction
Pricing	Real-time pricing for station-based one-way vehicle sharing systems
Primal dual algorithm	Preconditioned Primal Dual Algorithms in Convex Optimization
Primal dual dynamics	A Dynamical Approach to Solving Smooth Saddle Point Problems
Primal-Dual methods	Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
Probabilistic Constrained Optimization	Probabilistic Robustness for Compressor Controls in Transient Pipeline Networks
probabilistic load flow	A probabilistic approach for a local day-ahead network congestion signal
Probabilistic Robustness	Probabilistic Robustness for Compressor Controls in Transient Pipeline Networks
Probing	Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
Production Planning	Dominance Properties for Electricity Distribution Planning with Battery Cycling Considerations
Prospect Theory	Prospect Theoretic Models of Irrationality in Aggregative Games
Prospective studies	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
proximal point algorithms	Strongly Quasiconvex Functions: What We Know (so far)
Q
Quadratic BSDE	Robust Mean Field Control: Stochastic Maximum Principle and Risk-averse Mean Field Games
Quadratic fractional programming	Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
quadratic optimization	Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Quadratic unconstrained binary optimization	From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline QUBO for the Min-Up/Min-Down UCP: Penalty Tuning and Decomposition Approach
Quantifier elimination	Solving Parametric Linear Matrix Inequalities and Convergence Analysis in Optimization
Quantile regression	A Sequential Bayesian Approach to Gaussian Process Quantile Regression for Optimization
Quantum algorithms	Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
quantum computing	From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
Quantum Optimisation	Average case analysis of Branch and Bound algorithms: Is there potential for quantum advantage?
Quantum walks	Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
Quasar-convexity	Delayed Feedback in Online Non-Convex Optimization: A Non-Stationary Approach with Applications
QUBO	Average case analysis of Branch and Bound algorithms: Is there potential for quantum advantage? From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
queueing theory	Nash equilibrium of a non-atomic game with heterogeneous players sensitive to queueing time
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rail freight	Integrating crew scheduling and cyclic crew rostering for rail freight with train delays
Rational certificates	Rational SOS certificates of any polynomial with integer coefficients
Real-time optimization	Real-time pricing for station-based one-way vehicle sharing systems
regularity of geodesics	A COUNTEREXAMPLE TO SMOOTHNESS OF ENERGY-MINIMIZERS IN SUB-RIEMANNIAN GEOMETRY
Regularization	SAA Consistency for Optimal Control Problems with Almost Sure State Constraints Control of Collision Orbits Regularization of optimal control problems on stratified domains using additional controls
reinforcement learning	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions Bridging classical optimization and reinforcement learning in power systems: a value-based approach Decentralised energy management of large-scale EV fleets: some results from the ANR EDEN4SG project
renewable energy	A multi-stage stochastic integer programming model and branch-and-SDDP algorithm for industrial production planning under intermittent renewable energy
Renewable energy integration	An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation
Research Data Management	A Knowledge Management Open Science Approach for Black-Box Optimization Benchmarking
reserve price	Optimal electric vehicle charging with dynamic pricing, customer preferences and power peak reduction
retail	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
Riemannian Manifolds	State-Constrained Optimal Control on Wasserstein Spaces of Riemannian Manifolds
risk estimation	Particle Method for a Nonlinear Multimarginal Optimal Transport Problem
Risk measures	A Characterization of Law-Invariant Coherent Risk Measures Through Optimal Transport
Risk-averse mean field games	Robust Mean Field Control: Stochastic Maximum Principle and Risk-averse Mean Field Games
Robust mean field control	Robust Mean Field Control: Stochastic Maximum Principle and Risk-averse Mean Field Games
runtime analysis	Evolutionary Algorithms Are Robust to Noise out of the Box Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator Speeding Up the NSGA-II via Dynamic Population Sizes
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S-procedure	Conditional Infimum, Hidden Convexity and One-Sided Linear Couplings
Saddle point problem	Preconditioned Primal Dual Algorithms in Convex Optimization
saddle point problems	A Dynamical Approach to Solving Smooth Saddle Point Problems
Saddle-point problem	Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
sample average approximation	SAA Consistency for Optimal Control Problems with Almost Sure State Constraints
scenario generation	Geometry Decision Focused Scenario Generation for Contextual Two-Stage Stochastic Linear Programming
Scenario Tree	Implementation of a Multi-year Generation and Transmission Expansion Planning Problem in an Industrial Context
Schaake Shuffle technique	A probabilistic approach for a local day-ahead network congestion signal
SDDP	Bellman equations in extended optimal stochastic control
Security analysis	A probabilistic approach for a local day-ahead network congestion signal
security assessment	Deep Active Learning-driven Acceleration of Smart Grids Security Assessment
Self Consumption	Dominance Properties for Electricity Distribution Planning with Battery Cycling Considerations
Self-adapting algorithms	Dynamic Algorithm Configuration for Next-Generation Optimization
Semidefinite programming	Solving Parametric Linear Matrix Inequalities and Convergence Analysis in Optimization Average case analysis of Branch and Bound algorithms: Is there potential for quantum advantage?
semidefinite relaxation	Convex Optimization Methods for Nonlinear Control of Synchronous Motors in Transportation Electrification
Separable approximations	Separable Representations of Optimal Value Functions via Neural Networks
sequential decision-making	Stochastic Revelation in Sequential Decision-Making with a Pharmaceutical Application
Shipper Network Design	Optimizing a Worldwide-Scale Shipper Transportation Planning in a Carmaker Inbound Supply Chain
smart grids	Deep Active Learning-driven Acceleration of Smart Grids Security Assessment Moment Constrained Optimal Transport for Energy Demand Management
Smooth Convex Regression	Introducing ISCNNs: Input Smooth Convex Neural Networks
SOS certificates	Rational SOS certificates of any polynomial with integer coefficients
Spaces of measures	Synthetic Nonnegative Cross-Curvature and Spaces of Measures
Sparse inference	No-Regret Gaussian Process Optimization of Time-Varying Functions
sparse inverse problems	Optimization landscape of L0-Bregman relaxations
sparse updates	Exploiting Subgradient Sparsity in Max-Plus Neural Networks
spatial branch-and-bound	A spatial branch-and-price-and-cut algorithm for the continuous network design problem
Spatial decomposition	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
SPEA2	Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer
spectral risk measure	Particle Method for a Nonlinear Multimarginal Optimal Transport Problem
speed-up	Speeding Up the NSGA-II via Dynamic Population Sizes
sphere packing	Bollobás–Meir Conjecture for the TSP in the Unit Cube Holds Asymptotically
spherical code	On Degree of a Branching Point in Branched Optimal Transport (aka Gilbert--Steiner Problem) Bollobás–Meir Conjecture for the TSP in the Unit Cube Holds Asymptotically
spherical-radial decomposition	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs
Stabilisation	Optimal Control and Stabilisation of Fokker-Planck and McKean-Vlasov Equations
Stability	A Parametric Optimization Approach To Comparison Functions Stability and Optimization of Perturbed Chemostat Systems
Stackelberg Equilibrium	A Bilevel Optimization Model to share Decarbonization Efforts between French Regions : some qualitative Results
State Constraints	State-Constrained Optimal Control on Wasserstein Spaces of Riemannian Manifolds
Statistical Estimation	Airports Energy Optimization with Optimal Control and AI
Steiner tree	Irregular Examples of Indecomposable Steiner trees with Infinite Number of Branching Points
Stochastic Collocation	Probabilistic Robustness for Compressor Controls in Transient Pipeline Networks
Stochastic control	Continuity of Bellman functions in stochastic optimization and control
Stochastic Dual Dynamic Programming algorithm	A multi-stage stochastic integer programming model and branch-and-SDDP algorithm for industrial production planning under intermittent renewable energy
Stochastic Gradient Descent	Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems Bias-Optimal Bounds for SGD: A Computer-Aided Lyapunov Analysis
Stochastic maximum principle	Robust Mean Field Control: Stochastic Maximum Principle and Risk-averse Mean Field Games
Stochastic multistage optimization	Computing Usage Values for Prospective Studies in Energy Systems Using Spatial Decomposition
stochastic optimal control	Thriving despite toxicity: in boom-and-bust environments, microbial pacifists often win even against optimal-control-theory-aided antagonists.
Stochastic optimization	Optimal Operation of a Battery System Considering Uncertainties on Energy Prices: a Least-Square Monte Carlo Approach A Saddle Point Algorithm for Stochastic Multi-Objective Optimization with Inequality Constraints Integrating crew scheduling and cyclic crew rostering for rail freight with train delays Green Hydrogen Viability in the Transition to a Fully-Renewable Energy Grid Continuity of Bellman functions in stochastic optimization and control On Multidimensional Disjunctive Inequalities for Chance-Constrained Stochastic Problems with Finite Support Enhanced Benders' Decomposition for Stochastic Unit Commitment Using Interval Variables Operator Splitting for Large Scale Nonlinear Stochastic Optimal Control Distributionally Robust Standard Quadratic Optimization with Wasserstein Ambiguity
Stochastic programming	Design of an electric vehicle sharing system under demand uncertainty: a bi-objective risk-averse stochastic programming approach Optimization under Weakly-Concave Composite Structure: A Proximal-type Approach Stochastic Revelation in Sequential Decision-Making with a Pharmaceutical Application Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
Stochastic sampling	Gibbs Gradient Descent: A Langevin Approach To Optimization
strong convexity	Optimality Conditions and Algorithms for Optimization on Nonlinear Metric Spaces
Strong Total Cover	Strong Total Cover and Mixed Dominating Set Problems: Polyhedra and Algorithms
Strongly quasiconvex functions	Strongly Quasiconvex Functions: What We Know (so far)
Structured learning	Integrating Revenue Management into the Supply Chain for New Vehicles’ Distribution at Renault Group
sub-Riemannian geometry	A COUNTEREXAMPLE TO SMOOTHNESS OF ENERGY-MINIMIZERS IN SUB-RIEMANNIAN GEOMETRY
subgradient descent	Exploiting Subgradient Sparsity in Max-Plus Neural Networks
Surrogate Modeling	Classification-Based Linear Surrogate Modeling of Constraints for AL-CMA-ES
Symmetry breaking	Symmetry-breaking techniques in MILP and application to the Unit Commitment Problem
Synthetic biology	Bang-Bang Light Control in Optogenetic Bioprocess Models: Optimal Protein Production in Yeast
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telecommunications networks	Enhancing the Economic Performance and Resilience of Telecommunications Networks through Integrated Multi-Battery System Solutions
Temporal graphs	MINimum CYcle bases with maximum INtersection in TEmporal GRaphs: ALgorithms and complexITY
Theory	Evolutionary Algorithms Are Robust to Noise out of the Box
theory of neural networks	A Theoretical Framework for Grokking: Interpolation Followed by Riemannian Norm Minimisation
Tikhonov regularization	Tikhonov Regularized Exterior Penalty Methods For Hierarchical Variational Inequalities Asymptotic behavior of penalty dynamics for constrained variational inequalities
Time-varying optimization	Control-Based Design of Online Optimization Algorithms No-Regret Gaussian Process Optimization of Time-Varying Functions
topology optimization	Topology Optimization with Local Perimeter Constraints and Non-Linear Filtering for Minimum Length and Overhang Control
Traffic Management	A Learning-Based Approach for Traffic State Reconstruction from Limited Data
transportation	A spatial branch-and-price-and-cut algorithm for the continuous network design problem
transportation electrification	Convex Optimization Methods for Nonlinear Control of Synchronous Motors in Transportation Electrification
travelling salesman problem	Bollobás–Meir Conjecture for the TSP in the Unit Cube Holds Asymptotically
Trilevel optimization	Trilevel Optimization for Demand Response in Electric Vehicle Charging Networks
tropical algebra	Exploiting Subgradient Sparsity in Max-Plus Neural Networks
Trustworthy AI	Towards Trustworthy AI for Power System Operation
type-I superconductors	Branched Optimal Transport and Fractal Measures in Type-I Superconductors
U
unbalanced optimal transport	On convergence rates of regularized unbalanced optimal transport: the discrete case
Uncertainty quantification	A Sequential Bayesian Approach to Gaussian Process Quantile Regression for Optimization
uncertainty revelation	Stochastic Revelation in Sequential Decision-Making with a Pharmaceutical Application
Uniform approximation	A Universal Uniform Approximation Theorem for Neural Networks
Unit Commitment	Modelling Dynamical Constraints and Maintenance within Aggregated Unit Commitment Problem using Mixed Integer Linear Programming Enhanced Benders' Decomposition for Stochastic Unit Commitment Using Interval Variables An Efficient and Tight Model for Nuclear Power Plant Constraints in Flexible Operation Symmetry-breaking techniques in MILP and application to the Unit Commitment Problem
Unit Commitment Problem	Modeling Aggregate Electric Vehicle Flexibility in Unit Commitment Problems with Generalized Polymatroids QUBO for the Min-Up/Min-Down UCP: Penalty Tuning and Decomposition Approach
user equilibrium	A spatial branch-and-price-and-cut algorithm for the continuous network design problem
V
Valid inequalities	On Multidimensional Disjunctive Inequalities for Chance-Constrained Stochastic Problems with Finite Support
Value of information	Lot-sizing Problem Under Decision-Dependent Uncertainty: A Probing-Enhanced Stochastic Programming Approach
variance reduction	Optimal Control under Uncertainty with Joint Chance State Constraints: Almost-Everywhere Bounds, Variance Reduction, and Application to (Bi)linear Elliptic PDEs
Variational algorithms	QUBO for the Min-Up/Min-Down UCP: Penalty Tuning and Decomposition Approach
Variational Quantum Eigensolver	From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
Vehicle Routing	A technician routing and scheduling problem with a lexicographic objective
Vehicle sharing systems	Real-time pricing for station-based one-way vehicle sharing systems
VQE	From Cables to Qubits: A Decomposed Variational Quantum Optimization Pipeline
W
Wasserstein distance	Distributionally Robust Optimization for Optimal Control problems with Pontryagin's Maximum Principle
Wasserstein extrapolation	Metric Extrapolation and Generalized Wasserstein Barycenter
Wasserstein generalized Barycenter	Metric Extrapolation and Generalized Wasserstein Barycenter
Wasserstein gradient	Mirror and Preconditioned Gradient Descent in Wasserstein Space
Wasserstein gradient flows	Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Wasserstein Spaces	State-Constrained Optimal Control on Wasserstein Spaces of Riemannian Manifolds
Z
zonotopes	A robust method for complementarity problems using a geometric viewpoint

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