Applied Math · Mathematics & Statistics
Optimization & Control
The newest papers in Optimization & Control that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
754 papers, from 31 August 2026 to 5 November 2026: 698 arXiv preprints and 56 OpenAlex records.
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Newest papers, page 7
Computer-Assisted Results for \(n\)-Sided Non-Transitive Dice Taking Face Values in \([n]\)
We consider non-transitivity among dice with \(n\) sides restricted to taking face values in the set \(\{1,\ldots,n\}\).Minimum-Time Escape from the Conic Field of View of a Reeds--Shepp Pursuer: the Faster Evader
We continue the study of minimum-time escape of an omnidirectional evader from the forward conic field of view of a Reeds--Shepp pursuer, now for a faster evader, and solve the game for every speed…DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms
Benders decomposition and column generation solve large optimization problems by passing cuts, columns, and dual values between a master problem and subproblems, and are hard to implement correctly.Convex-SKM-Net: Low-Latency Block Halfspace Corrections for Neural Convex Constraint Satisfaction
Fast inference and strict constraint satisfaction are essential for learning-based decision-making.Game-Theoretic Foundations for Undiscounted Bisimulation Metrics
Bisimulation metrics offer a principled notion of task-relevant state similarity in reinforcement learning, but existing constructions and methods are largely confined to discounted MDPs, where…Controllability-Based Input Allocation in Quantum System
Understanding how local perturbations influence global quantum dynamics is important for analyzing and designing large-scale quantum systems.Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
Behavior Cloning (BC) of expert controllers for multiscale dynamical systems is challenging: state variables evolving at widely separated timescales induce highly nonlinear couplings that a shared…The Power Watershed as a Differentiable Segmentation Layer
Can a Watershed transform, the classical tool of morphological segmentation, be placed at the end of a deep network and trained through?Rennala NSGD: Asynchronous Stochastic Optimization Beyond Euclidean Geometry
The empirical success of matrix-aware optimizers, such as Muon (Jordan et al., 2024) and Shampoo (arXiv:1802.09568), highlights the potential of non-Euclidean geometry for deep learning, including…Optimization-based lane-changing trajectory planning in mixed traffic with embedded input convex neural networks
Lane-changing (LC) maneuvers are highly challenging vehicle interactions, with substantial implications for traffic safety and efficiency.Tunable Spatial Task Allocation with Application to Maritime Swarms
In this chapter, we explore how a team of autonomous agents can flexibly reconfigure the distribution of its members across many spatially embedded tasks using a task allocation strategy grounded in…A New Formulation of the Elastica Model with Application to Image Inpainting
Curves and interfaces play a central role in computer vision and image processing, and Euler's elastica energy is one of the most successful tools to model and manipulate them.NextEval: An Agent-Based Solver and Benchmark for Derivative-Free Optimization
Derivative-free optimization (DFO) addresses problems where derivatives are unavailable or costly to obtain.QESChunker: A Single Objective Unifies Overlapping and Non-Overlapping Chunking for RAG
Chunking is a fundamental preprocessing step in retrieval-augmented generation (RAG), yet most existing chunkers rely primarily on heuristics.Wasserstein approximation of measures via orthogonal frames: statistical and computational complexities
Dimension-reduction methods such as PCA identify a subspace capturing most of the variation in the data, but not a distinguished basis within it.Frequency-Uniform Log-Regret Reinforcement Learning for Diffusions
High-frequency control problems are often studied through time discretization, but refining the timestep $δ$ increases the discrete horizon $H=T/δ$ and can make standard finite-horizon regret…GNBG-C: A Unified and Configurable Benchmark Generator for Constrained Continuous Optimization
Many real-world optimization tasks are governed not only by what should be optimized, but also by what is allowed: a solution must first satisfy physical, operational, safety, budgetary, or…MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control
Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a unified understanding of why such control helps and how much is needed remains…SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation
Rounded capacity cuts (RCCs) are among the most effective cuts for capacitated vehicle-routing relaxations, but exact separation is computationally prohibitive at scale.Conformal Predictive Distributions for Contextual Order Fulfillment Optimization
Ship-to-home fulfillment requires a retailer to select a fulfillment location and carrier before the delivery time is known.