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2292 papers in math.OC · page 14
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Leader adds vanishing term to select follower equilibrium
Induced Stackelberg Equilibrium Seeking via Iterative Tikhonov Regularization
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Variable change yields optimal power control for sensing and AirComp FL
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
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High-order proximal methods achieve superlinear rates on quasar-convex problems
Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods
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DMAC adapts controllers to data without system models
Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis
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Dictionary learning cleans low-frequency room impulse responses
Full band denoising of room impulse response in the wavelet domain with dictionary learning
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Heuristic for energy system design fails with minimal part loads
Robust Design of Multi-Energy Systems Accounting for Mixed-Integer Operational Problems
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Nonconvexities such as minimal part loads can cause the feasibility time-step heuristic…
Robust Design of Multi-Energy Systems Accounting for Mixed-Integer Operational Problems
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Median-of-means yields almost sure Nash convergence in heavy-tailed games
Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
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Penalty function keeps stationary points for general orthogonality
Improved Penalty Function Approaches for Optimization Problems with General Orthogonality
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Hybrid quantum solver reduces crude oil scheduling costs 73-80%
Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms
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Fixed-time stabilization equals arbitrarily fast exponential stabilization
Fixed-Time and Arbitrarily Fast Exponential Stabilization of Discrete-Time Switched Linear Systems
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Backward-forward acceleration achieves O(1/k²) rate for convex problems
Accelerated Backward Forward Method for Convex Optimization
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Sinkhorn algorithm reaches O(k^{-1} log k) rate
Almost-sharp $O(k^{-1} \log k)$ convergence rate for the Sinkhorn algorithm in the asymptotically scalable case
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Sinkhorn reaches almost optimal O(k^{-1} log k) rate
Almost-sharp $O(k^{-1} \log k)$ convergence rate for the Sinkhorn algorithm in the asymptotically scalable case
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Polyhedral set exactly captures perturbations of circumcentric cone directions
On the geometry of circumcentric directions of cones
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The paper develops a co-learning framework that simultaneously learns a port-Hamiltonian…
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
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Alternating optimization yields passive stable controllers from data
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
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The paper develops a state-dependent Lyapunov framework that uses a parameterized…
State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization
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RL learns cheaper PSPS policies using any wildfire ignition model
Reinforcement Learning for Public Safety Power Shutoffs Under Decision-Dependent Uncertainty and Nonlinear Wildfire Ignition Models
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Reachability guides wing design for 30% less tracking error
Reachability-Based Design Optimization for Aircraft Maneuverability
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Observability of latent states identifies causal treatment effects in continuous time
Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
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Observability required to identify causal effects in continuous time
Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time
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Benamou-Brenier formula holds for sub-Gaussian measures
A PDE approach to Benamou--Brenier formula for the Schr\"odinger problem
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Modal controller gains H2 stability for 2D and 3D heat equations
$H^2$ Stabilization of the $2$-D and $3$-D Heat Equation via Modal Decomposition
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Decentralized LLM debate recovers correct optimization models
From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
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Cut filtering halves Benders time on 149 flow instances
Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching
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Deviations from rational stopping diagnose psychological profiles
Holistic Decision-Making in Stopping Problems: Emphasizing Psychological Aspects
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Deflation-free scoring matches sequential accuracy on high-dim data
Deflation-Free Optimal Scoring
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Truncating derivatives approximates the Mortensen observer
Approximations of the Mortensen observer using higher order extended Kalman filters
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Distributed RLS converges almost surely for infinite-parameter models
Distributed adaptive estimation for stochastic large regression models
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Subspace method speeds federated learning under non-IID data
Subspace Optimization for Efficient Federated Learning under Heterogeneous Data
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Convex function defines positivity-preserving uncertainty sets
An uncertainty model for positive-valued parameters with application to robust optimization
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Affine-normal descent scales higher-moment portfolios to thousands of assets
Yau's Affine-Normal Descent for Large-Scale Unrestricted Higher-Moment Portfolio Optimization
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ZO methods match FO convergence rates via stability
From Cursed to Competitive: Closing the ZO-FO Gap via Input-to-State Stability
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Neural networks outperform linearization in surgery overtime scheduling
Handling Overtime Constraints in Mixed Integer Linear Programming for Surgical Scheduling: A Comparison of Neural Network and Classical Linearization Techniques
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Strictly positive real controller stabilizes Mindlin plate
Observer-Based State Feedback Controller for a Mindlin Plate Model in port-Hamiltonian framework
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Port-Hamiltonian model captures HASEL micro robot dynamics
Design and Modeling of a HASEL Actuator-Based Micro Parallel Robot
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Poly-time algorithm maximizes Rawlsian welfare for identical goods
Computing welfare and fairness in allocating identical goods with entitlements and general utility functions
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The paper proves two uniqueness theorems for viscosity solutions of path-dependent…
Path-dependent Hamilton--Jacobi equations: Uniqueness results for viscosity solutions defined via families of compact sets
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LTI Koopman models force nonlinear systems to be affine linear
Limitations of LTI Koopman Modeling for Nonlinear Control Systems
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Sakawa-Shindo algorithm extended to systems with state delays
Sakawa-Shindo algorithm for optimal control of time-delay systems, with applications to epidemiology
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Competing leaders split opinions in rumor-control games
Regulation of Rumor Propagation via (Multi-Leader) Stackelberg Graphon Games
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Asymptotic solution derived for cheap control game with slow-fast states
Asymptotic Solution of a Cheap Control Game with Slow and Fast State Variables
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Metaheuristic selects reactions to fit GEMs on 9-28 media
A Combinatorial Optimisation Approach to Multi-factorial Gap-filling in Genome-scale Metabolic Models (GEMs)
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Joint sensor geometry and policy design beats baselines by 123x
Adaptive Sensing beyond Non-Adaptive Information Limits: End-to-End Co-Design of Geometry, Policy, and Inference
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Molten salt storage in ammonia loop cuts battery needs
Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach
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Uniform empirical control sets SAA convergence rates
On rates of convergence for sample average approximations without smoothness
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Preconditioner reduces condition numbers 1000-fold for spectrum cartography
Accelerating Regularized Attention Kernel Regression for Spectrum Cartography
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Second-order conditions derived for generalized equation constraints
Second-order optimality conditions for optimization problems with generalized equation constraints
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New sparsity condition solves box polynomial problems in polynomial time
A polynomial-time solvable class of sparse box-constrained polynomial optimization problems