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2292 papers in math.OC · page 16
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Multifidelity filter trusts AI for high-dimensional assimilation
Learning to Trust AI and Data-driven models in Data Assimilation through a Multifidelity Ensemble Gaussian Mixture Filter Framework
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ML heuristics find better solutions faster for binary quadratic programs
ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
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Taylor series make nonlinear balanced truncation scalable
Nonlinear balanced truncation model reduction through scalable Taylor series
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Penalizing sensitivities yields tighter guidance under uncertainty
Computational Method for Desensitized Optimal Guidance Using Direct Collocation
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RL-column generation cuts operating room schedule gaps to 1.23%
A Reinforcement-learning-based Column Generation Algorithm for Integrated Operating Room Planning and Scheduling
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Surrogate analysis enables cheaper co-design for floating wind turbines
Surrogate-Based Co-Design Coupling Analysis for Floating Offshore Wind Turbines
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Epidemic game model yields vaccination strategies with at most one switch
Modeling Epidemic Spread with Strategic Vaccination and Socialization: a Mean Field Game Analysis
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Relaxation penalties cut neural MILP solve times by 10000x
Relaxation-Informed Training of Neural Network Surrogate Models
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Electric vehicle routing model adds charging stops to human ride requests
A Vehicle Routing Problem for Human-Centered Electric Mobility
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Smooth densities give optimal transport strict cost curvature
Curvature of optimal transport with respect to the cost and applications to inverse optimal transport
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Penalized soft constraints accumulate at hard nonholonomic geodesics
Penalised and constrained geodesics in geometric control theory
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GPU solver speeds portfolio optimization up to 48 times
FlashFolio: A GPU-Accelerated Solver for Portfolio Optimization
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Optimistic bounds shrink admissible designs in multi-objective co-design
Compositional Online Learning for Multi-Objective System Co-Design
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Stochastic fixed-point iterations converge with variance at one point only
Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
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Stochastic iterations converge with variance finite at one point
Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
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Adding acyclic monotone operators can destroy acyclicity
Acyclic Monotone Operators Are Not Closed Under Addition
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SDP solutions match zero-sum game strategies under constraint qualification
On the equivalence of semidefinite programming and zero-sum semidefinite games
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Symmetries yield exponential trim turnpike away from boundaries
Non static exponential turnpike property for optimal control problems with symmetries and boundary conditions
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Neural networks recover controls for nonlinear PDEs
Computational Control of Nonlinear Partial Differential Equations Using Machine Learning
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Efficiency of first eigenfunction maximizes below classical bound
Maximization of the efficiency of the first Dirichlet eigenfunction and improved eigenvalue inequalities
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Monge map estimator from dual of sampled OT problem
Statistical Estimation of Monge Transport Maps via Brenier Potentials
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SOC-ICNNs expand convex networks from polyhedral to smooth functions
SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
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This paper develops a framework for linear quadratic dynamic games where players design…
Strategically Robust Linear Quadratic Dynamic Games
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Closed-loop variational method yields global Stackelberg LQ equilibrium
Stackelberg Stochastic Linear-Quadratic Differential Games: A Closed-Loop Equilibrium Approach
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Subgradient method for inequalities terminates in finite steps
Finite Termination of a Generalized Perceptron Algorithm
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NORTA model tests stochastic plans using synthetic scenarios from 16 real ones
Using a generative model for out-of-sample testing of two-stage stochastic programs
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Adapted Wasserstein for filtered Gaussians reduces to Procrustes problem
Adapted Optimal Transport between Filtered Gaussian Processes
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Constrained stochastic LQR achieves optimal sqrt(T) regret
Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator
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ReLU policy gradients converge to optimal scalar LQR gain
Global Convergence of Policy Gradient Methods for ReLU Controllers in Linear Quadratic Regulation
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Givens rotations turn Stiefel optimization into unconstrained search
BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference
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Sharp determinant bounds quantify gap to positive semidefiniteness
Determinant Bounds for $(n-1)$-Locally Positive Semidefinite Matrices
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MPC for hybrid systems stabilizes a target set under CLF conditions
Model Predictive Control of Hybrid Dynamical Systems
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Nash equilibrium exists when cross-coupled Riccati equations are solvable
$H_2/H_{\infty}$ Control for Stochastic Differential Systems with Partial Observation
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Active SLAM recast as control problem for near-optimal policies
SLAM as a Stochastic Control Problem with Partial Information: Optimal Solutions and Rigorous Approximations
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Optimal therapies proven for oxytaxis glioblastoma model
Optimal control of therapies related to an oxytaxis glioblastoma model
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First convergence proof for SOAP with arbitrary projections
Convergence Rate Analysis of SOAP with Arbitrary Orthogonal Projection Matrices
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Entropic OT selects unique plan on each Euclidean transport ray
Entropic regularization of Monge's problem
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Different discount factors unlock second-order conditions in infinite control
Infinite Horizon Optimal Control Problems with Discount Factors
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New step sizes give sixth-order convergence for optimization
Adaptation and Development of Super Schemes for Unconstrained Optimization Problems
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Theta numbers bound densities of spherical polygon packings
Bounding the density of spherical polygon packings
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Mini-batch Halpern algorithm converges to nearest fixed point
Mini-Batch Stochastic Halpern Algorithm for Nonexpansive Fixed point Problems
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Gradient-free methods reach Goldstein saddle points in nonsmooth minimax
Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
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ZO-MGT achieves O(1/T) convergence with quadratic bias suppression
Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking
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String stability requires at least two predecessors for any consensus order
Generalized String-Stability Criteria for Consensus Protocols
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Sharper bounds match optimal rates for linear system ID
CLT-Optimal Parameter Error Bounds for Linear System Identification
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Convex Eulerian model scales DER coordination via fixed-cost LP
A Convexified Eulerian Framework for Scalable Coordination of Massive DER Populations
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First-order update recovers Steiner tree after terminal moves
Optimum adaptation of a Steiner network
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Discrete RL policies converge to continuous-time optima at explicit rates
Discretization error from regularized Reinforcement Learning to continuous-time stochastic control
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RMDPs lack subgradient dominance in general and admit suboptimal local minima
Revisiting Subgradient Dominance in Robust MDPs: Counterexamples, Hardness, and Sufficient Conditions