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Every paper Pith has read. Search by title, abstract, or pith.
2292 papers in math.OC · page 12
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Bicriteria model trades train travel time against regenerative braking overlap
Optimizing Travel Time and Regenerative Energy for Periodic Timetables
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Heuristic DSS raises retail ship-to-order ratio by 13.7 points
A Real-Time Scalable Heuristic DSS Framework for Capacity-Constrained Retail Allocation under Supply Chain Uncertainty
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New bound tighteners and Givens lex cuts speed MINLPs with distance constraints
A computational comparison of handling distance constraints in MINLP
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Monograph gives explicit Riemannian derivations for matrix-manifold optimization
Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations
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Each CAV spots sensor faults using distributed observers
Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
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Optimal fixed-point algorithms number exactly (N-1)!
A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms
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Entropy-regularized transport fixes sampling MPC mode-averaging
Sampling-Based Control via Entropy-Regularized Optimal Transport
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Parameter-free method reaches O(ε^{-5/3}) rate for non-convex problems
A Parameter-Free First-Order Algorithm for Non-Convex Optimization with $\tilde{\mkern1mu O}(\epsilon^{-5/3})$ Global Rate
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Backward search plus distributed control yields simultaneous-arrival plans
Multi-Agent Motion Planning for Simultaneous Arrival using Time-Reversed Search and Distributed Optimal Control
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Two-step planner yields optimized feasible multi-agent paths
Optimized and kinematically feasible multi-agent motion planning
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PolyStep trains spiking networks to 93.4% accuracy without gradients
Training Non-Differentiable Networks via Optimal Transport
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Leader encodes target into control for follower to decode from states
The Control Plant as A Communication Channel: Implicit Communication for Decentralized LQG Control
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Newton methods achieve quadratic convergence for vehicle dynamic games
Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing
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nvPAX three-phase method reaches 98.92% power satisfaction
nvPAX: Constrained Optimization for Dynamic Power Allocation in Hierarchical and Multi-Tenant Systems
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Strict Monge maps induce unique optimal couplings for random measures
Optimal transport between laws of random probability measures and the strict Monge problem
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LQ-GM-PID supplies closed-form bridge diffusions
Analytic Bridge Diffusions for Controlled Path Generation
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The paper proves existence of optimal solutions for an unregularized optimal control…
Error estimates for an unregularized optimal control problem for the stationary Navier-Stokes equations
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Bilevel learning restricted by unique lower-level optima
Bilevel learning
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Measures on trajectories keep nonlinear behaviors convex
A Measure-Theoretic Formulation of Behavioral Systems
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Linear inequalities describe monomial graph convex hull
On the convex hull of the graph of a simple monomial
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Redundant transitivity constraints removable from clique partitioning
On the redundancy of transitivity constraints in the clique partitioning problem
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Quaternion embedding enables nuclear norm for tensor completion
Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion
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Optimal controls exist for 2D evaporating ternary mixtures
Optimal control problem for a nonlinear nonlocal evolution system describing an interacting ternary mixture with an evaporating component: 2D case with bulk evaporation
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The paper proves existence and convergence for sequences from the proximal point method…
The proximal point method and its two variants for monotone vector fields in Hadamard spaces
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Input-dependent functionals prove ISS for PDEs with boundary inputs
Unified Lyapunov Method for ISS of PDEs: A Tutorial on Constructing Generalized Lyapunov Functionals for Parabolic and Hyperbolic Equations
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Degenerate hyperbolic PDEs admit observability with interior remainder
Hidden Boundary Trace Regularity and an Observability Estimate with Interior Remainder for Boundary-Degenerate Hyperbolic Equations
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SPACO delivers single-loop stochastic gradients for constrained minimax problems
A Single-Loop Penalty-based Algorithm for Stochastic Minimax Optimization with Nonlinear Coupled Constraints
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Riccati equations solve Nash equilibrium for battery storage competition
Modeling Stochastic Multi-Agent Interaction in Intraday Battery Energy Storage Dispatch with Market Power
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Agent optimization recast as stochastic target for single-contract screening
Principal-agent problems with adverse selection: A stochastic target problem formulation
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Unique contract adverse selection reduces to stochastic target control
Principal-agent problems with adverse selection: A stochastic target problem formulation
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History-based policies fix greedy deferral in temporal logic control
Value Functions for Temporal Logic: Optimal Policies and Safety Filters
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Stackelberg-Nash controls nullify Stefan free boundary locally
Stackelberg-Nash controllability for a multi-objective Stefan problem
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Randomized subspaces accelerate Nesterov gradient methods
Randomized Subspace Nesterov Accelerated Gradient
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Sion's minimax theorem holds in Hadamard spaces
Sion's minimax theorem and the proximal point algorithm in Hadamard spaces
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Decentralized optimizers adapt stepsizes locally without line searches
A Line-search-free Method for Adaptive Decentralized Optimization
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Bang-bang controls produce smooth free boundaries
Unstable free boundary problems in optimal control theory: existence and regularity
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Merton problem solved via Riccati equations in Volterra models with jumps
Optimal Merton's Problem under Multivariate Affine Volterra Models with Jumps
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Q-learning with multipattern approximation bounds regret at O(H² N^H √K)
Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation
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Perturbed knapsack threshold keeps SOS rank at O(sqrt n log n)
On the Distribution of Unweighted Minimum Knapsack Instances with Large SOS Rank
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Zeroth-order learning reaches equilibrium tariffs in demand-side management
Learning-Based Stackelberg Equilibrium Seeking with Application to Demand-Side Energy Management
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Local queries yield vanishing info on sparse matrix violations
Information Accessibility Limits in Structured NP Search
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Local queries cannot locate sparse violations in P-matrix families
Information Accessibility Limits in Structured NP Search
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Regularized Newton boosting converges globally at O(1/k²)
Gradient Regularized Newton Boosting Trees with Global Convergence
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Instance-aware tuning beats global settings in electric routing
Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem
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MDP value functions are rescaled PageRank vectors on reversed chains
Linking PageRank, Time Reversal, and Policy Evaluation
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First-order algorithm reaches near-optimal MTL error in constant iterations
Near-optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
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Alpha=1 Alpha-Procrustes geometry bounds Riemannian Hessian eigenvalues uniformly
Riemannian Optimization over Symmetric Positive Definite Matrices with the Alpha-Procrustes Geometry
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Sparse actuation beats continuous in delayed stochastic swarms
Controlling the Swarm: Sparse Actuation and Collision Avoidance under Stochastic Delay
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Geometric tangent cone yields MPEC optimality conditions
First-Order Optimality Conditions for Mathematical Programming with Equilibrium Constraints
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Lojasiewicz bounds enable exact penalties for MPECs
Introduction to Exact Penalization for Mathematical Programming with Equilibrium Constraints