Optimization Online is a repository of Eprints about optimization and related topics.
Submissions to Optimization Online are moderated by a team of volunteer coordinators. Coordinators check submissions for correctness of author-title-link information, but make no claim about quality or correctness of the reports.
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Recent Eprints
- The complexity of branch-and-price algorithms for the capacitated vehicle routing problem with stochastic demands
Published 2022/09/29 by Ricardo Fukasawa - Sparse PCA With Multiple Components
Published 2022/09/29 by Ryan Cory-Wright, Jean Pauphilet - Fixed-Point Automatic Differentiation of Forward–Backward Splitting Algorithms for Partly Smooth Functions
Published 2022/09/29 by sheheryarm9, Peter Ochs - On the strength of recursive McCormick relaxations for binary polynomial optimization
Published 2022/09/26 by Aida Khajavirad - Using Neural Networks to Guide Data-Driven Operational Decisions
Published 2022/09/25 by Ningyuan Chen, Saman Lagzi - Shape-Changing Trust-Region Methods Using Multipoint Symmetric Secant Matrices
Published 2022/09/24 by Johannes Brust, Jennifer B. Erway, Roummel F. Marcia - On polynomial time solvability of combinatorial Markov random fields
Published 2022/09/24 by Shaoning Han, Andrés Gómez, Jong-Shi Pang - A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs: Application to Cycling Network Design
Published 2022/09/23 by linbo - Optimized convergence of stochastic gradient descent by weighted averaging
Published 2022/09/23 by Melinda Hagedorn, Florian Jarre - A Jacobi-type Newton method for Nash equilibrium problems with descent guarantees
Published 2022/09/22 by Oliver Kolossoski, Gabriel Haeser, Luís Felipe Bueno