Tutorial on Machine Learning (abstract)

Polynomial Approximation of the inverse of a Matrix with Application to Linear Equations with Multiple Right-hand Sides (abstract)

Polynomial Preconditioning for Solving Linear Equations with Indefinite Matrices (abstract)

HAM: Hierarchical approximate maps for updating preconditioners (abstract)

Recent Developments in Asynchronous Linear Solvers for Computing at the Very Edge (abstract)

Block Krylov subspace methods for many Hermitian systems with complex shifts (abstract)

Regularizing properties of inner-product free Krylov methods for inverse problems (abstract)

GCV-based iterative methods for l1-Regularized Inverse Problems (abstract)

Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems (abstract)

Iterative Projection Algorithms for Resolving Conformation Disorder in Diffuse X-ray Scattering (abstract)

On the Convergence of CROP-Anderson Acceleration Method (abstract)

On the asymptotic convergence of Anderson acceleration for certain linear problems (abstract)

Some theoretical results on finite convergence property and temporary stalling behavior of Anderson acceleration on linear systems (abstract)

Convergence Analysis of Alternating Anderson-Picard Method for nonlinear fixed-point Problem (abstract)

Fast Randomized Algorithms for Rank-Structured Matrices (abstract)

An Iterative Rank-Revealing Randomized Algorithm (abstract)

Construction of Hierarchically Semi-Separable Matrix Representation using Adaptive Sparse Johnson-Lindenstrauss Sketching (abstract)

Structured Sketching for Linear Systems (abstract)

Multigrid parallel-in-time for hyperbolic PDEs: nonlinear equations and systems (abstract)

Waveform relaxation multigrid for Navier-Stokes (abstract)

Improved Coarse-Grid Operators for Multigrid Reduction in Time solutions to the Linear Advection Equation (abstract)

An Absolutely Convergent Parallel-in-Time Relaxation Method for Chaotic Problems (abstract)

Block Smoothers for Algebraic Multigrid (abstract)

Surrogate-based partitioned methods for interface problems (abstract)

Existence and uniqueness analysis of an atmosphere-ocean surface exchange algorithm with applications to global climate models (abstract)

Partitioned Scheme for Coupling Heterogenous Numerical Methods, Including Reduced Order Models, Over Nonoverlapping Interfaces (abstract)

An optimization-based approach for coupling projection-based reduced order models (abstract)

Topology-aware Coupler for Energy Exascale Earth System Model (abstract)

A finite-grid stable implicit particle-in-cell algorithm for gyrokinetic electromagnetic simulations of magnetized plasmas (abstract)

An implicit particle code with exact energy and charge conservation for dynamically compressing plasmas: Solver scaling and performance (abstract)

A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations (abstract)

Nonlinearly partitioned time integration for multiphysics (abstract)

Solving 1D-space collisional electron-Boltzamnn transport equation (abstract)

Stochastic Average Model Methods (abstract)

Low-rank Gradient Flow – a First Order Algorithm for Non-convex Optimization (abstract)

A Multilevel Method for Self-Concordant Minimization (abstract)

Solvers and preconditioners enabling flexible IMEX integration of fusion plasmas in COGENT* (abstract)

Scalable multiphysics block preconditioning of a fully-implicit VMS visco-resistive MHD formulation with application to Magnetic Confinement Fusion (abstract)

A block preconditioner for resistive MHD simulations (abstract)

An energy minimization approach to H-curl AMG (abstract)

A Newton-based Grad-Shafranov solver for tokamak equilibrium (abstract)

Improving Multilevel Monte Carlo Scaling with Level-Dependent Redistribution (abstract)

Faster solution of linear Bayesian smoothing problems using model reduction for ensemble Kalman inversion (abstract)

Multigrid Monte Carlo revisited: fast sampling of Gaussian Random Fields (abstract)

Accelerating Multi-Level Markov Chain Monte Carlo Methods Using Machine Learning Models (abstract)

New Developments in the AMLI-cycle Method (abstract)

Toward an algebraic multigrid method for the indefinite Helmholtz equation (abstract)

Adaptive Composite AMG Solvers Utilizing Graph Modularity Coarsening (abstract)

Generalized Optimal AMG Convergence Theory for Nonsymmetric and Indefinite Problems (abstract)

Semi-structured algebraic multigrid (SSAMG) (abstract)

Stability Analysis of Two-Level Nonlinear Acceleration Method for the Linear Boltzmann Transport Equation (abstract)

A Data Driven, Eigenvalue Based Adaptive Time Stepping Method for Nonlinear Physics Simulation (abstract)

Dynamic and Deterministic Neutron Transport on GPUs using One-cell Inversion (abstract)

Decoupled Diffusion Synthetic Acceleration for Deterministic Neutral Particle Transport (abstract)

Progress in Layer-Parallel Neural Networks Training and Inference (abstract)

Efficient Subproblem Solves for Convergent Neural Network Training (abstract)

Training Neural Networks with PyRol: Algorithms and Examples (abstract)

Deep learning without global optimization by random Fourier features (abstract)

A Damped Block Gauss-Newton Method for Shallow ReLU Neural Network (abstract)

Hybrid Quantum-Classical Krylov Methods for Eigenvalue Computation (abstract)

Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction (abstract)

Computing H2-conforming finite element approximations without having to implement C1-elements (abstract)

Learning optimal iterative methods (abstract)

Graph Neural Network to Predict Coarse Space Functions for Two-level Domain Decomposition Methods (abstract)

Fast iterative solver for neural network method: 1D diffusion problems (abstract)

Fast iterative solver for neural network method: 1D general elliptic problems and data fitting (abstract)

Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networks (abstract)

Newton's Method in Three Precisions (abstract)

Mixed Precision Iterative Refinement for Structured Inverse Problems (abstract)

Effective Approximate Preconditioners for Linear Inverse Problems (abstract)

H-LSLU: An Inner Product Free Hybrid Krylov Method for Rectangular Large-Scale Inverse Problems (abstract)

Half precision wave simulation (abstract)

Physics-informed augmentations to nonlinear vector autoregressive models for the prediction of dynamical systems (abstract)

Evolving Algebraic Multigrid Methods Using Grammar-Guided Genetic Programming (abstract)

Large scale Scattering using the HINTS (abstract)

A New Dynamic Low Rank Method for Thermal Radiative Transfer (abstract)

Low Rank Krylov-based Implicit Time Integrators for Nonlinear Fokker-Planck Kinetic Models (abstract)

Higher order and implicit dynamical low-rank algorithms (abstract)

A dynamical low-rank collocation method for nonlinear tensor differential equations (abstract)

Tensor Networks for Solving the Time-Independent Boltzmann Neutron Transport Equation (abstract)

A tensor POD-ROM for parameter dependent dynamical systems (abstract)

Constrained Tensor Decomposition for Low-rank Modeling of Multiphysics Simulation Data (abstract)

Efficient incremental Tucker decomposition for streaming scientific data (abstract)

Tensor Completion with BMD Factor Nuclear Norm Minimization (abstract)

Fast iterative solvers in tensor butterfly format (abstract)

Communication-Computation Overlapping for Parallel Multigrid Methods (abstract)

Adaptive CSR Krylov Solvers on GPU (abstract)

Jacobian matrix construction for fluid flow problems on GPUs using automatic differentiation (abstract)

FleCSI: A Task-Based Framework for HPC (abstract)

Accelerating model-based iterative reconstructions via Non-Uniform Fast Fourier Transforms and GPUs (abstract)

Direct interpolative construction of quantized tensor trains (abstract)

Quantized tensor trains for solving Vlasov-Maxwell equations (abstract)

Tensor Networks Space-Time Spectral Method for Solving the Heat Equation (abstract)

Rank reduction of graph Laplacians via column selection (abstract)

Data-parallel tensor decomposition algorithms in the tensor-train format (abstract)

Parallel Space-time Implicit Runge-Kutta Methods and Tensor-structure-preserving Schwarz Preconditioning for Parabolic Problems (abstract)

Performance-portable p-multigrid block preconditioning for mixed FE discretizations of nearly incompressible hyperelasticity (abstract)

Low-order Preconditioner for Steady State Advection Diffusion Equation Under Spectral Element Discretization (abstract)

A parameter-robust preconditioner for Stokes-Darcy coupling problems (abstract)

Transformed primal-dual methods with variable-preconditioners for nonlinear partial differential equations (abstract)

Stagnation-shortening inexact Newton method based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes (abstract)

Efficient Solution for Fully Implicit Runge-Kutta Methods for Time-dependent Hyperbolic PDEs (abstract)

Fast coarse grid solvers for the solution of exascale Poisson equations (abstract)

Fast High-Order Finite Element Solvers on Simplices (abstract)

Achieving h- and p-robust monolithic multigrid solvers for saddle-point systems (abstract)

Redundant equation methods for stiff wave motions (abstract)

Implicit time and rank adaptive method for time-dependent PDEs (abstract)

Acceleration methods for scientific and data science applications (abstract)

Efficient Hybrid Spatial-Temporal Operator Learning (abstract)

Fast Solvers for Neural Network Least-Squares Approximations (abstract)

Smoothing Gradient Descent (SmoothGD) (abstract)

Structure Optimization and Compression Methods for Finite Element Operators (abstract)

Space-time parallel iterative solvers for the integration of parabolic problems (abstract)

A new decoupled solution method for a novel oscillation-free numerical scheme for Biot's model (abstract)

Parallel Compact High-Resolution GMRES-PFFT-Type Algorithms for 3D Stochastic Subsurface Scattering Problems. (abstract)

Improving Greedy Algorithms for Rational Approximation (abstract)

A Multi-Tiered Iterative Algorithm for Determining the Rotational Diffusion of Particle Systems from the Temporal-Angular Cross-Correlation of Their Power Spectrum (abstract)