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2292 papers in math.OC · page 17
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Ellipcenters method matches exact line search rate
The Method of Ellipcenters for Strongly Convex Functions
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Ellipcenters matches exact-line-search gradient descent rate
The Method of Ellipcenters for Strongly Convex Functions
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One eigenvalue decides if disease dies out on any network
On the dynamic behavior of the network SIRS epidemic model
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This paper reviews 131 optimization studies on cascading hydropower systems and defines a…
Modeling Gaps in Hydropower Cascading System Models: A Systematic Review of Rule-Based Formulations
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RL-MPC integrations for linear systems receive a five-dimension taxonomy
A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems
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Planar transport framework schedules 500 daily personalized drug orders
Integrated packing, placement, scheduling, and routing of personalized production: a pharmaceutical Industry 4.0 use-case with a planar transport system
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Gradient noise creates a sharpness gap below 2/η in SGD
SGD at the Edge of Stability: The Stochastic Sharpness Gap
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Three viewpoints unify second-order conditions for MPECs
Optimization Workshop Notes for Mathematical Programming with Equilibrium Constraints (MPECs): Second-Order Optimality Conditions
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Workshop notes verify MPEC hypotheses for correct optimality analysis
Optimization Workshop Notes for Mathematical Programming with Equilibrium Constraints (MPECs): Verification of MPEC Hypotheses
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Bilinear form turns ADMM proximal step into exact projection
Solving Minimax Problems with Bilinear Objectives with ADMM
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Closed-set large-deviation bounds fail without tail control
Failure of ambient closed-set large-deviation upper bounds in entropic optimal transport
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Weighted objective balances reactive power optimization
Evaluation of Various Objective Functions for Optimal Reactive Power Flow Including Transformer Tap Changer Optimisation
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Bandit algorithm learns better sampling for SAM optimization
Importance Sampling in Expensive Finite-Sum Optimization via Contextual Bandit Methods
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Calibration error tracks curvature via shared margin tails
Too Sharp, Too Sure: When Calibration Follows Curvature
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Renewable microgrids depend on energy timing more than total capacity
Reliability as a Design Principle: A Systematic Review and Integrated Framework for Renewable-Based Microgrids
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Logarithmic norms bound finite-time instability in stochastic flight dynamics
Bounding Transient Instability in Sensor Data Injected Nonlinear Stochastic Flight Dynamics
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Invariance equations solve hierarchical control for nonlinear systems
Approximate Simulation-based Hierarchical Control of Nonlinear Systems
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Approximately optimal stepsize unifies inexact rules for gradient
A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
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Optimal control reformulation of reward balancing improves RL
On Reward-Balancing Methods for Reinforcement Learning
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Nonlinear control rate lies within log gap of directed information
Rate-Cost Tradeoffs in Nonlinear Control
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Meta-distribution assumption yields RKHS uncertainty sets with OOD guarantees
Robust Out-of-Distribution Stochastic Optimization
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Constrained mapping aligns Miura-ori to 3D surfaces
Optimization of Constrained Quasiconformal Mapping for Origami Design
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LLM absorbs long contexts into fixed parameters with causal sync
Absorber LLM: Harnessing Causal Synchronization for Test-Time Training
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Neural model plus short MCMC chains solves QAP near-optimally
Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
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25 functions embed tiny feasible regions inside optimization objectives
A Benchmark of 25 Nonlinear Functions with Domain-Induced Discontinuity for Global Optimization
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Federation beats local training when pooling gains top heterogeneity penalties
Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
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Simple FedAvg works for heterogeneous decision-focused learning
Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
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Evolutionary game dynamics coupled to HJB equations admit unique solutions
Forward-looking evolutionary game dynamics subject to exploration cost
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Lifted second moments turn MJLS covariance steering into SDP
Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise
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Symmetric costs are debiasable iff they admit an inf-representation
Debiasing optimal transport: classical and entropic
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Sphere heat equation controllable after time ln(1/sqrt(1-α²))
Minimal time for null controllability of the parabolic spherical Baouendi-Grushin equation
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MCTS planner counters regulation cascading in air traffic
Regulation Zero 2: A Flow-Centric Sequential Regulation Planning Framework to Counter Regulation Cascading in Pre-tactical Air Traffic Flow Management
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Optimization sensitivity yields deterministic generalization bounds
Separating Geometry from Probability in the Analysis of Generalization
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Diversity subset selection is NP-hard even for Euclidean plane points
Maximum Solow--Polasky Diversity Subset Selection Is NP-hard Even in the Euclidean Plane
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Acceleration lowers oracle complexity for convex-concave problems
Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(\epsilon^{-4/(3p+1)})$ $p$th-Order Oracle Complexity
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Surrogate sensors reconstruct states from partial measurements
State Forecasting in an Estimation Framework with Surrogate Sensor Modeling
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Nonconvex LASSO critical points match convex recovery rates
Sharp recovery and landscape guarantees for the nonconvex matrix LASSO
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Mild temporal changes let parallel clients cut regret in federated online learning
FedSEA: Achieving Benefit of Parallelization in Federated Online Learning
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Trace-penalty function solves symplectic eigenvalue problem unconstrained
Exact Quadratic Penalty Function for Symplectic Eigenvalue Problem
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Deep image prior cuts limited-view artifacts in photoacoustic scans
Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts
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SGD achieves O(log t / t^{1/3}) last-iterate rate in co-coercive games
Last-Iterate Guarantees for Learning in Co-coercive Games
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Closed-loop LQR control improves LLM activation steering
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control
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This paper develops a new confidence region for estimating demand in a price-dependent…
Optimal Online and Offline Algorithms for Contextual MNL with Applications to Assortment and Pricing
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Data embedding turns probable-event constraints into solvable programs
A Data-embedded Solution Paradigm for Nonconvex Probable Event Constrained Optimization
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Higher-order generator cuts truncation error in policy evaluation
Beyond Bellman: High-Order Generator Regression for Continuous-Time Policy Evaluation
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Higher-order generator beats Bellman baseline in continuous-time evaluation
Beyond Bellman: High-Order Generator Regression for Continuous-Time Policy Evaluation
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Hybrid relaxation enables exact global optimization of GP posterior means
An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions
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Puerto Rico needs 1.5 GW new gas plants for reliable power
Capacity Expansion Planning for Puerto Rico's Electric Power System
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Optimization recovers Kazhdan-Lusztig basis for partitions up to 7
Kazhdan-Lusztig Basis and Optimization
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Semi-smooth Newton solves conic programs over generalized simplicial cones
A semi-smooth Newton method for the nonlinear conic problem with generalized simplicial cones