Applied Math · Mathematics & Statistics
Optimization & Control
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754 papers, from 31 August 2026 to 5 November 2026: 698 arXiv preprints and 56 OpenAlex records.
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Newest papers, page 29
Transformer-Informed Trajectory Optimization for Relative Motion in Cislunar Orbits
Autonomous spacecraft guidance and control requires a fast solution to non-convex trajectory optimization, which can be accelerated by providing a near-optimal initial guess to an optimization…Continuous Optimization for p-adic Models
We present the first method for native, continuous gradient descent for machine learning models with $p$-adic parameters.A Kernel Approach to Multivariate Generalized Gammas Convolutions
We propose a kernel-based estimation framework for Multivariate Generalized Gamma convolutions (MGGC), a class of probability distributions on R d + .Blind Deconvolution of Binary and Pattern Images with Pixel Intensity Constraints and Sparse Gradient Prior
Blind image deconvolution (BID) is a prominent research topic in the field of imaging sciences, given its significant practical applications.On Control of Drawdown: Robust Invariance and Optimality
Mitigating \emph{drawdown}, the decline in wealth from its running peak, presents a canonical problem in path-dependent risk control.Optimal High-Order Methods for Solving Monotone Variational Inequalities
We study second- and higher-order methods for solving smooth monotone variational inequalities (MVI).The Exponential Price of Determinism in Nonsmooth Nonconvex Optimization
We study the complexity of finding $(δ,ε)$-Goldstein stationary points of nonsmooth nonconvex Lipschitz functions.Kadison--Singer partitions and Bilu--Linial graph signings in polynomial time
We prove two main algorithmic results in spectral discrepancy.Density-Driven Area Coverage for Nonholonomic Multi-Robot Systems with Safety Guarantee
Density-Driven Optimal Control (D2OC) provides a principled approach to distributing multi-robot teams over non-uniform spatial distributions.Riemannian Density-Driven Optimal Control: Tangent-Space LQR for Second-Order Multi-Agent Systems on Curved Manifolds
Density-Driven Optimal Control (D2OC) provides an effective framework for steering multi-agent systems toward prescribed spatial distributions.Multi-Armed Bernoulli Bandits via Minimax Single-Arm Stopping
We develop an index policy for finite-horizon Bernoulli multi-armed bandits from minimax solutions to single-arm bandit (SAB) problems.D-IMPL: A Diffusion-based Solver for Parameterized BBOs
Diffusion models have demonstrated strong power in generative modeling tasks across multiple domains, exhibiting a remarkable capability of learning complex distributions from samples.CLEAR: Complex Learned Explicit Analytical Regularization for Ultra-Accelerated 4D Flow CMR Reconstruction
While compressed-sensing regularizers enable interpretable reconstruction of 4D Flow CMR through transparent variational objectives, their hand-crafted nature is too restrictive under high…Conformal Robustness in Prediction-Driven Decision-Making
Modern prediction-driven decision systems often rely on black-box predictors, but a point forecast alone does not provide the uncertainty scale required for robust downstream decision-making.Bayesian Deck-of-cards-based Ordinal Regression with Sequential Preference Elicitation
The Deck-of-cards-based Ordinal Regression (DOR) infers a value function from a ranking of reference alternatives in which the Decision Maker (DM) inserts blank cards between consecutive levels to…Nested Clustered Optimization Is One End of a Schur Bridge, and the Interior Is Sometimes Provably Better
Nested clustered optimization allocates within each cluster from the cluster's own covariance block and then across the resulting cluster portfolios.Deep Reinforcement Learning with Buffered Quantile Objectives
Quantile-based reinforcement learning provides an interpretable approach to risk-sensitive decision-making by optimizing a prescribed quantile of the cumulative-return distribution.Tilt as a Certified Resource: Preserving Motor Wrench-Rate Authority on Articulated Multirotors
Fully-actuated multirotor aerial vehicles must not only track nominal wrenches but retain the "readiness" to modulate them rapidly under disturbances.Single-Loop Stochastic Projected Damped Extragradient Methods for Stochastic Nonconvex--(Strongly) Concave Minimax Optimization
We develop single-loop stochastic projected damped extragradient methods for stochastic nonconvex--(strongly) concave minimax optimization, with complexity guarantees for both game stationarity (GS)…Near-Optimal Acceleration for Smooth $\ell_p$ / $\ell_q$ Nondual Convex First-Order Oracle Optimization
We study the optimization of convex objectives with $(L,κ-1)$-Hölder-continuous gradients in $\ell_q$ over $R B_p^d$, $1<κ\le 2$.