EUCCO2016: 4TH EUROPEAN CONFERENCE ON COMPUTATIONAL OPTIMIZATION

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

A
active cantilever beam	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
Adaptive grid refinement	Backward step control globalization for nonlinear problems in function space
adaptive predictive control	Adaptive predictive control based on Gaussian process model
additive manufacturing	Topology optimization for additive manufacturing: a novel method for imposing a maximum overhang constraint Overhanging constraints in additive manufacturing using three different tools Multiscale topology optimization for additive manufacturing: a reduction approach Topology optimization for staged construction with applications to additive manufacturing
Adjoint	PDE-constrained optimal control of large-scale wind farms
Adjoint method	Regularized adjoint method for PDE constrained optimization
Adjoint system	Optimal control of reaction-diffusion systems with hysteresis
ADMM	On Parameter Selection of PDMM for Distributed Averaging Over a Tree Structured Graph
Agent coordination	Vehicle Coordination at Intersections
Air traffic networks	The Need for Computational Tools for the European Air Traffic Network
Aircraft Parameter Estimation	Optimum experimental design for aircraft parameter estimation
algorithmic differentiation	CasADi 3volutions
alternating minimization algorithm	Asynchronous Operator Splitting for MPC Applications
Anytime algorithms	Anytime MPC algorithms based on relaxed barrier functions
applications	First order methods: Recent Developments and Applications Challenging applications of topology optimization: from parts to full assemblies
Approximate Dynamic Programming	High-Speed Integer Optimal Control using Approximate Dynamic Programming
architectural engineering	Topology optimization for additive manufacturing: a novel method for imposing a maximum overhang constraint
asymptotic stability	On the global Stabilizability of the Wave Equation via Receding Horizon Control
asynchronous algorithms	Asynchronous Operator Splitting for MPC Applications
Auto-Steering	Interpolation-based control for Auto-Steering systems
Automatic Code Generation	Automatic Generation of Shape Derivatives and Approximate Shape Hessians
Automotive Control	Nonlinear MPC for Automotive Engine Air Path Control
Autonomous driving	Vehicle Coordination at Intersections
Autonomous systems	Optimal navigation of autonomous systems through dynamic environments
B
B-spline parameterizations	B-spline based analysis and control of linear parameter-varying systems
B-spline relaxations	B-spline based certificates of positivity
Backward Step Control	Backward step control globalization for nonlinear problems in function space
Big data	The Need for Computational Tools for the European Air Traffic Network
Branch and Bound	Combinatorial Integral Approximation and Decomposition Approaches in Mixed-Integer Optimal Control
branch-and-bound method	Global discrete structural size optimization using a mixed-variable approach
building climate control	Impact of the controller model complexity on MPC performance evaluation for building climate control
Buildings	Optimization of flexible demand of a cluster of buildings via distributed model predictive control
BV regularity	Optical flow based image sequence interpolation
C
Cahn-Hilliard/Navier-Stokes system	Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities
certificates of positivity	B-spline based certificates of positivity
chance constraint robustification	Robust solutions with chance-constraints of uncertain optimal control problems
chaos	Simultaneous PDE-constrained optimization in chaotic dynamics
Co-design	Exploring trade-offs in predictive control on reconfigurable computing platforms
code generation	muAO-MPC -- a free Python-based code generation tool for embedded predictive control
Collision and Obstacle Avoidance	Mixed integer representations in control design: theoretical results and applications
collocation	MHE-based Sensor Fusion for Aerial Navigation
Collocation methods	Inexact Newton-Type Optimization with Iterated Sensitivities for Direct Optimal Control
combinatorial approach	A Novel Method for Exploring the Combinatorial Tree in Multi-Parametric Quadratic Programming
Combinatorial Optimization	Gearless Mill Drives and the TSP
combustion engine	Piecewise Affine Modeling and Model Predictive Control of Gasoline Engines
Communication Bandwith	Predictive Control on Limited Hardware: Communication Bandwidth and Computing Power
complex numbers	On semidefinite optimization in complex numbers
complexity Reduction	Controlled contractive sets for low-complexity constrained control
composite convex optimization	On the linear convergence of operator splitting methods
Compressed sensing	Accelerated Compressed Sensing of streaming data
computational design synthesis	Powertrain system design using computation design synthesis
Computational optimization	First order methods: Recent Developments and Applications
Computing Power	Predictive Control on Limited Hardware: Communication Bandwidth and Computing Power
constrained layer damping	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
Constraint Qualifications	A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
continuous optimum experimental design	Formulations and Algorithms for Continuous Optimum Experimental Design Revisited
contractive set	Explicit robustness margin for contractive piecewise affine control laws
Contractive Sets	Controlled contractive sets for low-complexity constrained control
Contrastive Divergence	ERI-RBM: Learning Rotation-Invariant Features using Restricted Boltzmann Machine
Control	Interpolation-based control for Auto-Steering systems
convergence	On semidefinite optimization in complex numbers
Convergence Analysis	Performance estimation of first-order methods for composite convex optimization Optical flow based image sequence interpolation
Convex optimization	B-spline based analysis and control of linear parameter-varying systems Performance estimation of first-order methods for composite convex optimization Fréchet Problems and Convex Programming Object Oriented Convex Optimization with CVXPY Line Search for Averaged Operator Iteration Formulations and Algorithms for Continuous Optimum Experimental Design Revisited On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
Cooperative optimization	Optimization of flexible demand of a cluster of buildings via distributed model predictive control
Critical nodes	The Need for Computational Tools for the European Air Traffic Network
D
D-Gap Function	A globalized semismooth Newton method for generalized variational inequality problems
Damage	Structural design considering damage within an XFEM-level set framework
damped L-BFGS	On the application of MGopt for DNS-based optimal control of turbulent flows
Data Assimilation	Optimal Sensor Placement for Data Assimilation Problems
Data-driven optimization	Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Deferred correction method	Linear Algebra of Time-Dependent PDE-Constrained Optimization
Degenerate Optimization Problems	A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
Delay Differential Algebraic Equations	Robust stability optimization for delay differential algebraic equations in a probabilistic framework
differentiability of projections	A guided tour of polyhedric sets
Direct optimal control	Inexact Newton-Type Optimization with Iterated Sensitivities for Direct Optimal Control
Direct Transcription	Pyomo.dae: A Modeling and Automatic Discretization Framework for Dynamic Optimization Problems
Dirichlet control problems	Weighted finite element error estimates on boundary concentrated meshes with application to Dirichlet control
discrete frame optimization	Computational aspects of mixed variable formulation for optimization of skeletal structures
discrete optimization	Global discrete structural size optimization using a mixed-variable approach
discrete truss optimization	Computational aspects of mixed variable formulation for optimization of skeletal structures
discretization	Discretization of control constrained optimal control problems with higher order finite elements
Distributed	Optimization of flexible demand of a cluster of buildings via distributed model predictive control
distributed model predictive control	New Primal-Dual Proximal Algorithms for Distributed Model Predictive Control
distributed optimization	A primal decomposition algorithm with soft coupling for distributed nonlinear optimization Distributed scenario based stochastic optimization over multi-agent networks Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM New Primal-Dual Proximal Algorithms for Distributed Model Predictive Control
Distributed real-time optimization	Vehicle Coordination at Intersections
Distributionally robust optimization	Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
DNS-based optimization	On the application of MGopt for DNS-based optimal control of turbulent flows
Dual Control	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design
Dual decomposition	Optimization of flexible demand of a cluster of buildings via distributed model predictive control
dual time-stepping	Simultaneous PDE-constrained optimization in chaotic dynamics
Dynamic Optimization	Pyomo.dae: A Modeling and Automatic Discretization Framework for Dynamic Optimization Problems An inexact-Jacobian SQP method for dynamic optimization
Dynamic systems	Stochastic optimal experiment design for parameter estimation of biochemical processes
dynamic systems modelling	Adaptive predictive control based on Gaussian process model
Dynamic Traffic Flow	Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles
E
ECMS	Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics
Elastodynamic wave propagation	A robust topology optimization approach to the design of elastic wave barriers
electrical drives	Fast Nonlinear Model Predictive Control of a Reluctance Synchronous Machine
Electrical Machine	Gearless Mill Drives and the TSP
embedded model predictive control	muAO-MPC -- a free Python-based code generation tool for embedded predictive control
Embedded Optimization	Fast prototyping of embedded optimization algorithms on reconfigurable and heterogeneous computing platforms Low-complexity iterative method for embedded hybrid MPC Application of Newton Projection with Proportioning Solver to Automotive BLASFEO: high-performance dense linear algebra for embedded optimization Nonlinear MPC for Automotive Engine Air Path Control
Embedded Solver	Embedded Mixed-Integer Quadratic Optimization Using First-Order Methods
embedded systems	Fast Nonlinear Model Predictive Control of a Reluctance Synchronous Machine
energy management	Time-varying MPC-based energy management for HEV including engine stop-start
Energy management system	Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics
energy markets	Controlling Ecovat: a seasonal energy storage system, linked to the energy markets
Energy optimisation	Optimal Energy Control using Phase-Change Thermal Energy Storage Systems
Engine Control	Nonlinear MPC for Automotive Engine Air Path Control
Estimation	Multi-pitch estimation using semidefinite programming
evolving system	Adaptive predictive control based on Gaussian process model
Experimental Results	Explicit Model Predictive Control of a Laboratory-Scale PEM Fuel Cell System
Explicit model predictive control	A Novel Method for Exploring the Combinatorial Tree in Multi-Parametric Quadratic Programming Explicit robustness margin for contractive piecewise affine control laws Controlled contractive sets for low-complexity constrained control
Extended Formulations	Algorithms for Nonnegative Matrix Factorization and PSD Factorization with Applications to Extended Formulations
F
Feedback Optimal Control Algorithm	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design
Field Programmable Gate Array	Exploring trade-offs in predictive control on reconfigurable computing platforms
field-programmable gate array	Fast prototyping of embedded optimization algorithms on reconfigurable and heterogeneous computing platforms
finite convergence	On Parameter Selection of PDMM for Distributed Averaging Over a Tree Structured Graph
finite element error estimates	Weighted finite element error estimates on boundary concentrated meshes with application to Dirichlet control
Finite Elements	Finite Element Methods for Parabolic Optimal Control Problems with Measures.
First order methods	First order methods: Recent Developments and Applications
First order necessary optimality conditions	Optimal control of reaction-diffusion systems with hysteresis
First-Order Methods	Performance estimation of first-order methods for composite convex optimization Embedded Mixed-Integer Quadratic Optimization Using First-Order Methods An SQP-type method without really solving the QPs Line Search for Averaged Operator Iteration A Simple and Efficient Optimization Algorithm for Nonlinear MPC On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
first-order sensitivity	Shape Optimization of Grid Structures by Bending Moment Minimization
Flow control	PDE-constrained optimal control of large-scale wind farms
form-finding	Shape Optimization of Grid Structures by Bending Moment Minimization
Forward Backward Splitting	Accelerated Compressed Sensing of streaming data
Forward-Backward Envelope	Fast parallelizable scenario-based stochastic optimization
Frank-Wolfe	Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers
Frequency domain	Interval model identification in the frequency domain by using mixed-integer representations
Fuel minimization	Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles
Function space	Backward step control globalization for nonlinear problems in function space
G
Gaussian process model	Adaptive predictive control based on Gaussian process model
Gaussian processes	Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression
generalized inverse	Shape Optimization of Grid Structures by Bending Moment Minimization
Generalized Variational Inequalities	A globalized semismooth Newton method for generalized variational inequality problems
geometric concepts	Sympletic methods and geometric concepts in optimal control
global linear convergence	On the linear convergence of operator splitting methods
Global Newton-type methods	Backward step control globalization for nonlinear problems in function space
global optimization	B-spline based certificates of positivity Global discrete structural size optimization using a mixed-variable approach
globally convergent estimation	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
goal-oriented mesh refinement	Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities
GPS	MHE-based Sensor Fusion for Aerial Navigation
Graphics processing units (GPUs)	Fast parallelizable scenario-based stochastic optimization
H
H-infinity control	B-spline based analysis and control of linear parameter-varying systems
HEV	Toolbox for Control and Design Co-optimization of Hybrid Powertrains
high performance computing	PDE constrained shape optimization using HPC algorithms
High-performance linear algebra	BLASFEO: high-performance dense linear algebra for embedded optimization
hybrid electric vehicle	Time-varying MPC-based energy management for HEV including engine stop-start
Hybrid Electric Vehicles	Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles
hybrid electrical vehicles	Powertrain system design using computation design synthesis
hybrid model predictive control	Low-complexity iterative method for embedded hybrid MPC
Hybrid Systems	Optimal Switching Times for Switched Linear and Nonlinear Dynamics High-Speed Integer Optimal Control using Approximate Dynamic Programming
Hybrid Vehicles	Toolbox for Control and Design Co-optimization of Hybrid Powertrains
Hyperplane Arrangements	A mixed-integer implementation of the corner cutting problem in a multi-obstacle environment Mixed integer representations in control design: theoretical results and applications
I
Identification of closed loop systems	Optimum experimental design for aircraft parameter estimation
ill conditioning	Computing Stable Null Space Operators by Gaussian Elimination
image interpolation	Optical flow based image sequence interpolation
IMU	MHE for Human Body Motion Capture using Inertial Sensors MHE-based Sensor Fusion for Aerial Navigation
inertial navigation	MHE-based Sensor Fusion for Aerial Navigation
infinite-dimensional systems	On the global Stabilizability of the Wave Equation via Receding Horizon Control
Integer Optimization	High-Speed Integer Optimal Control using Approximate Dynamic Programming
Interior point method	Linear Algebra of Time-Dependent PDE-Constrained Optimization
interior point methods	A self-concordant interior point approach for optimal control with state constraints Multi-pitch estimation using semidefinite programming
Interpolation	Interpolation-based control for Auto-Steering systems
Interval model identification	Interval model identification in the frequency domain by using mixed-integer representations
iterative methods	On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
J
joint state and parameter estimation	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
K
Kalman filter	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
Kharitonov polynomials	Interval model identification in the frequency domain by using mixed-integer representations
L
large-scale convex optimization	Newton-type operator splitting algorithms
Large-scale optimization	Fast parallelizable scenario-based stochastic optimization The Need for Computational Tools for the European Air Traffic Network A proximal matrix-free algorithm for large-scale unconstrained optimization
LASSO	Accelerated Compressed Sensing of streaming data
least squares shadowing	Simultaneous PDE-constrained optimization in chaotic dynamics
Level set	Structural design considering damage within an XFEM-level set framework
level set method	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
Limited memory BFGS	Fast parallelizable scenario-based stochastic optimization
limiting C-stationarity	Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities
Line search	Line Search for Averaged Operator Iteration
Linear Elasticity	Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity
Linear matrix inequalities	B-spline based analysis and control of linear parameter-varying systems
Linear parameter-varying systems	B-spline based analysis and control of linear parameter-varying systems
Linear Parameterization	Road condition monitoring system using the parameters identification of LuGre tyre friction model
local mesh refinement	Weighted finite element error estimates on boundary concentrated meshes with application to Dirichlet control
loss factor	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
low-rank methods	A Low-Rank Approach for Bayesian Inverse Problems
low-rank perturbations	Preconditioning for boundary control problems in incompressible fluid dynamics
M
Machine learning	Scalable algorithms for a class of low rank tensor optimization problems arising in machine learning Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression Accelerated Compressed Sensing of streaming data
mass lumping	Discretization of control constrained optimal control problems with higher order finite elements
Mathematical Finance	Fréchet Problems and Convex Programming
Matrix-free method	A proximal matrix-free algorithm for large-scale unconstrained optimization
Measures	Finite Element Methods for Parabolic Optimal Control Problems with Measures.
Medical Applications	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design
Method	Universal Newton Method
MHE	MHE for Human Body Motion Capture using Inertial Sensors MHE-based Sensor Fusion for Aerial Navigation
Microgrid Schedualing	Mixed integer representations in control design: theoretical results and applications
Microstructural design	Microstructural design using stress-based topology optimization
MINRES	Solution of Structured Saddle-Point Systems with Applications in Optimal Control
MIP	Gearless Mill Drives and the TSP
Mixed Dynamic Optimisation	Optimal Energy Control using Phase-Change Thermal Energy Storage Systems
Mixed-Integer	Toolbox for Control and Design Co-optimization of Hybrid Powertrains
Mixed-integer formulation	Interval model identification in the frequency domain by using mixed-integer representations
mixed-integer linear program	Global discrete structural size optimization using a mixed-variable approach
Mixed-Integer Linear Programming	Combinatorial Integral Approximation and Decomposition Approaches in Mixed-Integer Optimal Control
Mixed-Integer Optimal Control	Combinatorial Integral Approximation and Decomposition Approaches in Mixed-Integer Optimal Control
mixed-integer programming	A mixed-integer implementation of the corner cutting problem in a multi-obstacle environment Mixed integer representations in control design: theoretical results and applications Computational aspects of mixed variable formulation for optimization of skeletal structures
Mixed-Integer Quadratic Programming	Embedded Mixed-Integer Quadratic Optimization Using First-Order Methods
modal analysis	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
Model Based Optimum Experimental Design	Optimum experimental design for aircraft parameter estimation
model order reduction	Impact of the controller model complexity on MPC performance evaluation for building climate control
Model Predictive Control	Fast prototyping of embedded optimization algorithms on reconfigurable and heterogeneous computing platforms Non-convex MPC for Vehicle Collision Avoidance Piecewise Affine Modeling and Model Predictive Control of Gasoline Engines Anytime MPC algorithms based on relaxed barrier functions Exploring trade-offs in predictive control on reconfigurable computing platforms Explicit Model Predictive Control of a Laboratory-Scale PEM Fuel Cell System Asynchronous Operator Splitting for MPC Applications On the global Stabilizability of the Wave Equation via Receding Horizon Control Optimization of flexible demand of a cluster of buildings via distributed model predictive control Time-varying MPC-based energy management for HEV including engine stop-start Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression Impact of the controller model complexity on MPC performance evaluation for building climate control Sensitivity analysis of parametric programming solution. Application to PWA control laws in the presence of variable time-delay Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM A multipurpose, easy-to-use Model Predictive Control design and simulation code Application of Newton Projection with Proportioning Solver to Automotive BLASFEO: high-performance dense linear algebra for embedded optimization
modeling languages	muAO-MPC -- a free Python-based code generation tool for embedded predictive control
Mosco convergence	Quasi-variational Inequalities with Non-local Differential Operators
Motion capture	MHE for Human Body Motion Capture using Inertial Sensors
motion planning	Optimal navigation of autonomous systems through dynamic environments A mixed-integer implementation of the corner cutting problem in a multi-obstacle environment Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM
moving horizon estimation	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
MPEC	Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities
Multi parametric quadratic programming	Explicit robustness margin for contractive piecewise affine control laws
Multi-Agent Dynamical Systems	Mixed integer representations in control design: theoretical results and applications
multi-agent systems	Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM
Multi-dimensional Filter Globalization	A globalized semismooth Newton method for generalized variational inequality problems
multi-material optimization	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
Multi-objective weather routing	A new method for continuous multi-objective weather routing based on combination of multi- and single objective optimization
multi-parametric quadratic programming	A Novel Method for Exploring the Combinatorial Tree in Multi-Parametric Quadratic Programming
Multi-pitch	Multi-pitch estimation using semidefinite programming
multigrid optimization	On the application of MGopt for DNS-based optimal control of turbulent flows
Multiobjective Optimization	Reduced Order Model Based Multiobjective Optimal Control of Nonlinear PDEs
Multiscale topology optimization	Multiscale topology optimization for additive manufacturing: a reduction approach
N
Navier--Stokes	Topology optimization in Navier--Stokes flow with a diffuse-interface approach
Navier--Stokes control	Preconditioning for boundary control problems in incompressible fluid dynamics
Network analysis	The Need for Computational Tools for the European Air Traffic Network
Neural Network	ERI-RBM: Learning Rotation-Invariant Features using Restricted Boltzmann Machine
Newton	Universal Newton Method
Newton-type algorithms	Newton-type operator splitting algorithms
Newton-type methods	Inexact Newton-Type Optimization with Iterated Sensitivities for Direct Optimal Control A Simple and Efficient Optimization Algorithm for Nonlinear MPC
Non linear eigenvalue problem	An iterative algorithm to compute the pseudospectral abscissa for structured real perturbations of a nonlinear eigenvalue problem
non-convex non-smooth optimization	Low-complexity iterative method for embedded hybrid MPC
Non-convex Optimization	Non-convex MPC for Vehicle Collision Avoidance
Non-local operators	Quasi-variational Inequalities with Non-local Differential Operators
Nonlinear control	Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression
nonlinear elasticity	Nonlinear robust optimization using second-order approximations and an application to the shape optimization of hyperelastic load-carrying structures
Nonlinear Model Predictive Control	Fast Nonlinear Model Predictive Control of a Reluctance Synchronous Machine An SQP-type method without really solving the QPs A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems An inexact-Jacobian SQP method for dynamic optimization
nonlinear MPC	A Simple and Efficient Optimization Algorithm for Nonlinear MPC Nonlinear MPC for Automotive Engine Air Path Control
nonlinear optimal control	Robust solutions with chance-constraints of uncertain optimal control problems
nonlinear predictive control	A Sparsity Preserving Regularization Algorithm for Indefinite Quadratic Programs Arising in Direct Optimal Control
nonlinear programming	A primal decomposition algorithm with soft coupling for distributed nonlinear optimization Pyomo.dae: A Modeling and Automatic Discretization Framework for Dynamic Optimization Problems A proximal matrix-free algorithm for large-scale unconstrained optimization
Nonlinear Programs	An SQP-type method without really solving the QPs
nonlinear robust optimization	Nonlinear robust optimization using second-order approximations and an application to the shape optimization of hyperelastic load-carrying structures
Nonnegative Matrix Factorization	Algorithms for Nonnegative Matrix Factorization and PSD Factorization with Applications to Extended Formulations
null space operator	Computing Stable Null Space Operators by Gaussian Elimination
numerical methods	Challenging applications of topology optimization: from parts to full assemblies
numerical optimization	Fast Nonlinear Model Predictive Control of a Reluctance Synchronous Machine CasADi 3volutions A proximal matrix-free algorithm for large-scale unconstrained optimization
O
Object oriented programming	Object Oriented Convex Optimization with CVXPY
One-Class Least Squares Support Vector Machines	One-Class Least Squares Support Vector Machines for Outlier Detection in Chemical Batch Processes
One-Class Support Vector Machines	One-Class Least Squares Support Vector Machines for Outlier Detection in Chemical Batch Processes
one-shot	Simultaneous PDE-constrained optimization in chaotic dynamics
online health monitoring system	Globally Convergent Moving Horizon State and Parameter Estimation with Application to Vibrating Cantilever Beams
open-source software	CasADi 3volutions
operator splitting	Low-complexity iterative method for embedded hybrid MPC Newton-type operator splitting algorithms
operator splitting methods	On the linear convergence of operator splitting methods Accelerated Compressed Sensing of streaming data
operator splitting techniques	New Primal-Dual Proximal Algorithms for Distributed Model Predictive Control
operator-splitting methods	Asynchronous Operator Splitting for MPC Applications
optical flow	Optical flow based image sequence interpolation
optimal control	A self-concordant interior point approach for optimal control with state constraints PDE-constrained optimal control of large-scale wind farms Discretization of control constrained optimal control problems with higher order finite elements Optical flow based image sequence interpolation Controlling Ecovat: a seasonal energy storage system, linked to the energy markets Finite Element Methods for Parabolic Optimal Control Problems with Measures. Reduced Order Model Based Multiobjective Optimal Control of Nonlinear PDEs Model Predictive Control of Real-time Multiprocessor Systems CasADi 3volutions Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics Toolbox for Control and Design Co-optimization of Hybrid Powertrains Sympletic methods and geometric concepts in optimal control Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities Solution of Structured Saddle-Point Systems with Applications in Optimal Control
Optimal experiment design	Stochastic optimal experiment design for parameter estimation of biochemical processes
Optimal Experimental Design	Optimal Sensor Placement for Data Assimilation Problems
optimality conditions	Optical flow based image sequence interpolation
optimality systems	Robust preconditioners for optimality systems - an infinite-dimensional perspective
optimisation under uncertainty	Robust solutions with chance-constraints of uncertain optimal control problems
Optimization	Anytime MPC algorithms based on relaxed barrier functions MHE for Human Body Motion Capture using Inertial Sensors Structural design considering damage within an XFEM-level set framework Asynchronous Operator Splitting for MPC Applications Optimization of flexible demand of a cluster of buildings via distributed model predictive control Impact of the controller model complexity on MPC performance evaluation for building climate control Interpolation-based control for Auto-Steering systems Powertrain system design using computation design synthesis A multipurpose, easy-to-use Model Predictive Control design and simulation code
Optimization algorithms	Inexact Newton-Type Optimization with Iterated Sensitivities for Direct Optimal Control
optimization in a nonreflexive Banach space	A globally convergent method for convexly constrained optimization problems in a nonreflexive Banach space
optimization on shape manifolds	Efficient PDE constrained shape optimization based on Steklov-Poincare type metrics
Optimum Experimental Design	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity
overhang constraint	Topology optimization for additive manufacturing: a novel method for imposing a maximum overhang constraint
Overhanging problem	Overhanging constraints in additive manufacturing using three different tools
P
Parallelization	Fast parallelizable scenario-based stochastic optimization
Parameter Estimation	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design MHE for Human Body Motion Capture using Inertial Sensors Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity
parameter selection	On Parameter Selection of PDMM for Distributed Averaging Over a Tree Structured Graph
Parametric methods	Multi-pitch estimation using semidefinite programming
Parametric optimization	Prediction-Correction Methods for Time-Varying Convex Optimization: theory, algorithms, applications A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
Parametric programming	Sensitivity analysis of parametric programming solution. Application to PWA control laws in the presence of variable time-delay
Pareto optimal solutions	A new method for continuous multi-objective weather routing based on combination of multi- and single objective optimization
Partial Differential Equations	Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity
Path-following	A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
PDE constrained optimization	Efficient PDE constrained shape optimization based on Steklov-Poincare type metrics PDE constrained shape optimization using HPC algorithms Regularized adjoint method for PDE constrained optimization
PDE Optimization	Optimal control of reaction-diffusion systems with hysteresis
PDE-constrained optimization	PDE-constrained optimal control of large-scale wind farms Preconditioning for boundary control problems in incompressible fluid dynamics Linear Algebra of Time-Dependent PDE-Constrained Optimization
PDMM	On Parameter Selection of PDMM for Distributed Averaging Over a Tree Structured Graph
PEM Fuel Cell System	Explicit Model Predictive Control of a Laboratory-Scale PEM Fuel Cell System
Performance Estimation	Performance estimation of first-order methods for composite convex optimization
Phase Change Material Storage	Optimal Energy Control using Phase-Change Thermal Energy Storage Systems
phase field approach	A globally convergent method for convexly constrained optimization problems in a nonreflexive Banach space
Phase Field Method	Topology optimization in Navier--Stokes flow with a diffuse-interface approach
piece-wise affine dynamics	Low-complexity iterative method for embedded hybrid MPC
Piecewise affine control laws	Explicit robustness margin for contractive piecewise affine control laws
piecewise affine model	Piecewise Affine Modeling and Model Predictive Control of Gasoline Engines
pivoting	Computing Stable Null Space Operators by Gaussian Elimination
PMP	Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics
polyhedricity	A guided tour of polyhedric sets
polynomial programs	B-spline based certificates of positivity
preconditioning	Preconditioning for boundary control problems in incompressible fluid dynamics Linear Algebra of Time-Dependent PDE-Constrained Optimization Solution of Structured Saddle-Point Systems with Applications in Optimal Control
Prediction-correction methods	Prediction-Correction Methods for Time-Varying Convex Optimization: theory, algorithms, applications
Predictive Control	Predictive Control on Limited Hardware: Communication Bandwidth and Computing Power
Predictive Energy Management Strategy	Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles
Predictor-Corrector	A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
predictor-corrector interior-point algorithm	On semidefinite optimization in complex numbers
primal decomposition	A primal decomposition algorithm with soft coupling for distributed nonlinear optimization
primal-dual algorithms	New Primal-Dual Proximal Algorithms for Distributed Model Predictive Control
projected gradient method	A globally convergent method for convexly constrained optimization problems in a nonreflexive Banach space
Projection	Application of Newton Projection with Proportioning Solver to Automotive
proximal methods	Newton-type operator splitting algorithms
Proximal regularization	A proximal matrix-free algorithm for large-scale unconstrained optimization
PSD Factorization	Algorithms for Nonnegative Matrix Factorization and PSD Factorization with Applications to Extended Formulations
Pseudospectral abscissa	An iterative algorithm to compute the pseudospectral abscissa for structured real perturbations of a nonlinear eigenvalue problem
Q
Quadratic Programming	Application of Newton Projection with Proportioning Solver to Automotive
Quasi-Newton methods	Fast parallelizable scenario-based stochastic optimization
Quasi-Variational Inequality	Quasi-variational Inequalities with Non-local Differential Operators
R
R-injectivity of a complex matrix	On semidefinite optimization in complex numbers
R-linear and C-linear systems of equations	On semidefinite optimization in complex numbers
Random monotone operators	Building Stochastic Optimization Algorithms with Random Monotone Operators
Real-time	Optimization of flexible demand of a cluster of buildings via distributed model predictive control
Real-time Computing	Model Predictive Control of Real-time Multiprocessor Systems
Real-time Estimation	Road condition monitoring system using the parameters identification of LuGre tyre friction model
Real-Time Iteration Algorithm	An inexact-Jacobian SQP method for dynamic optimization
receding horizon control	On the global Stabilizability of the Wave Equation via Receding Horizon Control Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM
Recursive algorithms	Accelerated Compressed Sensing of streaming data
Recursive Estimation	Road condition monitoring system using the parameters identification of LuGre tyre friction model
Reduced Order Modeling	Reduced Order Model Based Multiobjective Optimal Control of Nonlinear PDEs
Reduction method	Multiscale topology optimization for additive manufacturing: a reduction approach
regularization	A Sparsity Preserving Regularization Algorithm for Indefinite Quadratic Programs Arising in Direct Optimal Control Regularized adjoint method for PDE constrained optimization
Restricted Boltzmann Machine	ERI-RBM: Learning Rotation-Invariant Features using Restricted Boltzmann Machine
rigid bodies	MHE-based Sensor Fusion for Aerial Navigation
Robust Control	Robust stability optimization for delay differential algebraic equations in a probabilistic framework
robust optimal control	Robust solutions with chance-constraints of uncertain optimal control problems
Robust Optimization	B-spline based certificates of positivity Fréchet Problems and Convex Programming
robust preconditioning	Robust preconditioners for optimality systems - an infinite-dimensional perspective
Robustness	Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles
Robustness margin	Explicit robustness margin for contractive piecewise affine control laws
Rotation Invariant Features	ERI-RBM: Learning Rotation-Invariant Features using Restricted Boltzmann Machine
S
saddle point problems	Preconditioning for boundary control problems in incompressible fluid dynamics
saddle-point systems	Solution of Structured Saddle-Point Systems with Applications in Optimal Control
Sampling Decision	A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design
scalability	Scalable algorithms for a class of low rank tensor optimization problems arising in machine learning
Scenario approach	Distributed scenario based stochastic optimization over multi-agent networks
Scenario-based stochastic optimal control	Fast parallelizable scenario-based stochastic optimization
Scheduling	Model Predictive Control of Real-time Multiprocessor Systems
Schur complement preconditioners	Robust preconditioners for optimality systems - an infinite-dimensional perspective
Second Order Methods	Optimal Switching Times for Switched Linear and Nonlinear Dynamics
second-order optimality conditions	A guided tour of polyhedric sets
self-concordance	A self-concordant interior point approach for optimal control with state constraints
semidefinite optimization	On semidefinite optimization in complex numbers
Semidefinite programming	Multi-pitch estimation using semidefinite programming
Semismooth Newton Method	A globalized semismooth Newton method for generalized variational inequality problems
Sensitivity	A Predictor-Corrector Path-following algorithm for Dual-Degenerate Parametric Optimization Problems
Sensor Placement	Optimal Sensor Placement for Data Assimilation Problems
Sequential Quadratic Programming	An inexact-Jacobian SQP method for dynamic optimization
shape and topology optimization	A globally convergent method for convexly constrained optimization problems in a nonreflexive Banach space
Shape Derivatives	Automatic Generation of Shape Derivatives and Approximate Shape Hessians
Shape Hessians	Automatic Generation of Shape Derivatives and Approximate Shape Hessians
shape optimization	Shape Optimization of Grid Structures by Bending Moment Minimization Nonlinear robust optimization using second-order approximations and an application to the shape optimization of hyperelastic load-carrying structures Efficient PDE constrained shape optimization based on Steklov-Poincare type metrics PDE constrained shape optimization using HPC algorithms Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity
Simulation	A multipurpose, easy-to-use Model Predictive Control design and simulation code
simultaneous optimization	Simultaneous PDE-constrained optimization in chaotic dynamics
Single objective optimization	A new method for continuous multi-objective weather routing based on combination of multi- and single objective optimization
Slack Matrices	Algorithms for Nonnegative Matrix Factorization and PSD Factorization with Applications to Extended Formulations
Software	Object Oriented Convex Optimization with CVXPY
sparse LU factorization	Computing Stable Null Space Operators by Gaussian Elimination
Sparsity	Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers
Splines	Optimal navigation of autonomous systems through dynamic environments Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM
Splitting algorithms	Building Stochastic Optimization Algorithms with Random Monotone Operators
SQP	A Sparsity Preserving Regularization Algorithm for Indefinite Quadratic Programs Arising in Direct Optimal Control
state constraints	A self-concordant interior point approach for optimal control with state constraints
statistical inverse problems	A Low-Rank Approach for Bayesian Inverse Problems
Statistical Process Control	One-Class Least Squares Support Vector Machines for Outlier Detection in Chemical Batch Processes
Stator Winding	Gearless Mill Drives and the TSP
Stochastic approximation	Building Stochastic Optimization Algorithms with Random Monotone Operators
Stochastic control	Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression
stochastic methods	On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
stochastic optimal control	Robust solutions with chance-constraints of uncertain optimal control problems
Stochastic optimization	Distributed scenario based stochastic optimization over multi-agent networks
Stochastic programming	Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Stochastic uncertainty	Stochastic optimal experiment design for parameter estimation of biochemical processes
Stokes control	Preconditioning for boundary control problems in incompressible fluid dynamics
stress	Microstructural design using stress-based topology optimization
strong stationarity	A guided tour of polyhedric sets
structural optimization	Topology optimization for staged construction with applications to additive manufacturing
structural size optimization	Global discrete structural size optimization using a mixed-variable approach
Structured real pseudospectra	An iterative algorithm to compute the pseudospectral abscissa for structured real perturbations of a nonlinear eigenvalue problem
Sum Up Rounding	Combinatorial Integral Approximation and Decomposition Approaches in Mixed-Integer Optimal Control
Support Vector Data Description	One-Class Least Squares Support Vector Machines for Outlier Detection in Chemical Batch Processes
Support Vector Machines	Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers
Switched Systems	Optimal Switching Times for Switched Linear and Nonlinear Dynamics
Symbolic Analysis	Automatic Generation of Shape Derivatives and Approximate Shape Hessians
Sympletic methods	Sympletic methods and geometric concepts in optimal control
T
tensor algebra	Scalable algorithms for a class of low rank tensor optimization problems arising in machine learning
Thermal dynamics	Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics
thermal energy storage	Controlling Ecovat: a seasonal energy storage system, linked to the energy markets
Tikhonov regularization	Regularized adjoint method for PDE constrained optimization
Time-delay systems	Sensitivity analysis of parametric programming solution. Application to PWA control laws in the presence of variable time-delay
Time-varying optimization	Prediction-Correction Methods for Time-Varying Convex Optimization: theory, algorithms, applications
topology design	Powertrain system design using computation design synthesis
topology optimization	Topology optimization for additive manufacturing: a novel method for imposing a maximum overhang constraint Overhanging constraints in additive manufacturing using three different tools Multi-material topology optimization of viscoelastically damped structures using a parametric level set method Computational aspects of mixed variable formulation for optimization of skeletal structures Challenging applications of topology optimization: from parts to full assemblies A robust topology optimization approach to the design of elastic wave barriers Microstructural design using stress-based topology optimization Topology optimization for staged construction with applications to additive manufacturing Topology optimization in Navier--Stokes flow with a diffuse-interface approach
Torsney' algorithm	Formulations and Algorithms for Continuous Optimum Experimental Design Revisited
Traveling Salesman Problem	Gearless Mill Drives and the TSP
tree graph	On Parameter Selection of PDMM for Distributed Averaging Over a Tree Structured Graph
Trust-Region	Road condition monitoring system using the parameters identification of LuGre tyre friction model
TSP	Gearless Mill Drives and the TSP
turbulent channel flow	On the application of MGopt for DNS-based optimal control of turbulent flows
U
uncertainty quantification	A Low-Rank Approach for Bayesian Inverse Problems The Need for Computational Tools for the European Air Traffic Network Robust stability optimization for delay differential algebraic equations in a probabilistic framework
Unconstrained optimization	A proximal matrix-free algorithm for large-scale unconstrained optimization
Universal	Universal Newton Method
unsteady flow	Simultaneous PDE-constrained optimization in chaotic dynamics
V
variable metric method	A globally convergent method for convexly constrained optimization problems in a nonreflexive Banach space
Vehicle Collision Avoidance	Non-convex MPC for Vehicle Collision Avoidance
Vibration reduction measures	A robust topology optimization approach to the design of elastic wave barriers
viscoelastic damping	Multi-material topology optimization of viscoelastically damped structures using a parametric level set method
W
Wasserstein metric	Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations
Wave barriers	A robust topology optimization approach to the design of elastic wave barriers
Wind energy	PDE-constrained optimal control of large-scale wind farms
X
XFEM	Structural design considering damage within an XFEM-level set framework

Disclaimer | Powered by EasyChair Smart Program