Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube-Reference-Cited by-同舟云学术

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Minimizing a Low-Dimensional Convex Function Over a High-Dimensional Cube

Published:2023-05-26 Issue:2 Volume:33 Page:538-552
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Hunkenschröder Christoph¹^ORCID,Pokutta Sebastian²,Weismantel Robert³

Affiliation:

1. Institute of Mathematics, Technische Universität Berlin, 10623 Berlin, Germany.

2. Institute of Mathematics, Technische Universität Berlin, 10623 Berlin, and AI in Society, Science, and Technology, Zuse Institute Berlin, 14195 Berlin, Germany.

3. Department of Mathematics, Institute for Operations Research, ETH Zürich, Zürich 8092, Switzerland.

Funder

Deutsche Forschungsgemeinschaft

Einstein Stiftung Berlin

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Reference17 articles.

1. A Polyhedral Frobenius Theorem with Applications to Integer Optimization

2. Info-Greedy Sequential Adaptive Compressed Sensing

3. Sensitivity theorems in integer linear programming

4. Convex integer maximization via Graver bases

5. Algebraic and Geometric Ideas in the Theory of Discrete Optimization

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Low Dimensional Functions over the Integers;Integer Programming and Combinatorial Optimization;2023

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