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๐Ÿ” program development ๐Ÿ“‚ Mathematics
Showing 12714 results for "program development" in Mathematics
Mathematics Preprint PDF DOI

Kernel Methods for Stochastic Dynamical Systems with Application to Koopman Eigenfunctions: Feynman-Kac Representations and RKHS Approximation

Boumediene Hamzi, Houman Owhadi, Umesh Vaidya ยท 2026

We extend the unified kernel framework for transport equations and Koopman eigenfunctions, developed in previous work by the authors for deterministic systems, to stochastic differential equations (SDโ€ฆ

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Mathematics Preprint PDF DOI

An Abstract Stochastic Haugazeau Method for Best Approximation

Javier I. Madariaga ยท 2026

The Haugazeau method was originally designed to compute the best approximation from an intersection of closed convex sets in Hilbert spaces using the projection operators onto the individual sets iterโ€ฆ

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Mathematics Preprint PDF DOI

Recent Analytical and Computational Developments on the Advection-Diffusion-Reaction Wildfire Model

Luca Nieding, A.George Morgan, Adrian Navas, DonatoPera, Bruno Rubino, Federica Di Michele, Koondanibha Mitra, Qiyao Peng, Cordula Reisch ยท 2026

Wildfires represent a problem for ecosystems, human activities, and economies, driven by the climate crisis and land-use changes. Predicting wildfire propagation through mathematical modelling is esseโ€ฆ

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Mathematics Preprint PDF DOI

A short tour of operator learning theory: Convergence rates, statistical limits, and open questions

Simone Brugiapaglia, Nicola Rares Franco, Nicholas H. Nelsen ยท 2026

This paper surveys recent developments at the intersection of operator learning, statistical learning theory, and approximation theory. First, it reviews error bounds for empirical risk minimization wโ€ฆ

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Mathematics Preprint PDF DOI

Sarnak's Program for Erd\H{o}s Sieves. Part II: Measure Systems and Applications

Francisco Araujo ยท 2026

This paper is the second part of a two-part article where we generalize Sarnak's program to sets where we remove congruence classes modulo some infinite set $\mathcal{B}$ of ideals of an \'etale $\matโ€ฆ

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Mathematics Preprint PDF DOI

Sarnak's Program for Erd\H{o}s Sieves. Part I: Topological Dynamics and Light Tails

Francisco Araujo ยท 2026

This paper is the first part of a two-part article where we generalize Sarnak's program to sets where we remove congruence classes modulo some infinite set $\mathcal{B}$ of ideals of an \'etale $\mathโ€ฆ

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Mathematics Preprint PDF DOI

Structural Identifiability and Comparative Calibration of Water Retention Curves for Imbibition in Porous Media

Gabriella Bretti, Maurizio Ceseri, Elia Onofri, Matteo Paoluzzi ยท 2026

This paper investigates the structural identifiability and a comparative calibration of four water retention curves (WRCs) within the framework of the Richards equation coupled with Darcy's law for caโ€ฆ

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Towards Tsallis Fully Probabilistic Design

Vyacheslav Kungurtsev, Giovanni Russo ยท 2026

In this paper we present the foundations of Fully Probabilistic Design for the case when the Kullback-Leibler divergence is replaced by the Tsallis divergence. Because the standard chain rule is replaโ€ฆ

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Mathematics Preprint PDF DOI

A Flow-based Method for Problems with Vanishing Constraints

Christoph Hansknecht, Julian Niederer, Andreas Potschka ยท 2026

Mathematical Programs with Vanishing Constraints (MPVCs) are a notoriously challenging class of problems owing to their lack of constraint qualification. Therefore, to tackle these problems, relaxatioโ€ฆ

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Spin Glass Concepts in Computer Science, Statistics, and Learning

Andrea Montanari ยท 2026

Spin glass theory studies the structure of sublevel sets and minima (or near-minima) of certain classes of random functions in high dimension. Near-minima of random functions also play an important roโ€ฆ

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Efficient Interior-Point Methods for Hyperbolic Programming via Straight-Line Programs

Mehdi Karimi, Levent Tuncel ยท 2026

Hyperbolic (HB) programming generalizes many popular convex optimization problems, including semidefinite and second-order cone programming. Despite substantial theoretical progress on HB programming,โ€ฆ

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Generalized fluctuation bounds for stochastic algorithms in the presence of compactness

Morenikeji Neri, Nicholas Pischke, Thomas Powell ยท 2026

We provide a convergence result for sequences of random variables taking values in a metric space that satisfy a stochastic quasi-Fej\'er monotonicity condition, in the context of a (local) compactnesโ€ฆ

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Dantzig-Wolfe and Arc-Flow Reformulations: A Systematic Comparison

Daniel Yamin, Willem-Jan van Hoeve, Ted K. Ralphs ยท 2026

Dantzig-Wolfe reformulation is a widely used technique for obtaining stronger relaxations in the context of branch-and-bound methods for solving integer optimization problems. Arc-Flow reformulations โ€ฆ

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Directional first order approach for a class of bilevel programs

Kuang Bai, Wei Yao, Jane J. Ye, Jin Zhang ยท 2026

In this paper, we study a class of bilevel optimization program (BP), where the feasible set of the lower level program is independent of the upper level variable. For bilevel programs it is known thaโ€ฆ

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Syzygies and Koszul modules in geometry

Gavril Farkas ยท 2026

We describe the progress in the last 10 years related to Koszul modules and syzygies of algebraic varieties. Topics discussed include the general theory of Koszul modules and resonance varieties, applโ€ฆ

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Mathematics Preprint PDF DOI

Huge-Scale Assortment Optimization with Customer Choice: A Parallel Primal-Dual Approach

Donghao Zhu, Hanzhang Qin, Ching-pei Lee, Yuki Saito, Takahiro Kawashima, Kenji Fukumizu ยท 2026

We study huge-scale assortment optimization problems to maximize expected revenue under customer choice, addressing a fundamental challenge in industries such as transportation, retail, and healthcareโ€ฆ

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Applying a Random-Key Optimizer on Mixed Integer Programs

Antonio A. Chaves, Mauricio G.C. Resende, Carise E. Schmidt, J. Kyle Brubaker, Helmut G. Katzgraber, Martin J.A. Schuetz ยท 2026

Mixed-Integer Programs (MIPs) are NP-hard optimization models that arise in a broad range of decision-making applications, including finance, logistics, energy systems, and network design. Although moโ€ฆ

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Mathematics Preprint PDF DOI

Surrogate-assisted global sensitivity analysis of a hybrid-dimensional Stokes--Brinkman--Darcy model

Linheng Ruan, Ilja Kroker, Sergey Oladyshkin, Iryna Rybak ยท 2026

Development of new multiscale mathematical models often entails considerable complexity and multiple undetermined parameters, typically arising from closure relations. To enable reliable simulations, โ€ฆ

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Mathematics Preprint PDF DOI

Robustness certificates in data-driven non-convex optimization with additively-uncertain constraints

Alexander J Gallo, Massimiliano Zoggia, Alessandro Falsone, Maria Prandini, Simone Garatti ยท 2026

We consider decision-making problems that are formulated as non-convex optimization programs where uncertainty enters the constraints through an additive term, independent of the decision variables, aโ€ฆ

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Linear preserver problems in matrix positivity theory

Projesh Nath Choudhury, Shivangi Yadav ยท 2026

Linear preserver problems have been a central focus of research in matrix theory and operator theory for more than a century, beginning with Frobenius' 1897 characterization of determinant preserving โ€ฆ

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