Algorithms to Solve Unbounded Convex Vector Optimization Problems

Author:

Wagner Andrea1,Ulus Firdevs2ORCID,Rudloff Birgit1ORCID,Kováčová Gabriela1,Hey Niklas1

Affiliation:

1. Vienna University of Economics and Business, Institute for Statistics and Mathematics, Vienna, A-1020, Austria.

2. Department of Industrial Engineering, Bilkent University, Ankara, 06800 Turkey.

Funder

Oesterreichische Nationalbank

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Cited by 4 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. Convergence Analysis of a Norm Minimization-Based Convex Vector Optimization Algorithm;SIAM Journal on Optimization;2024-07-25

2. A polyhedral approximation algorithm for recession cones of spectrahedral shadows;Journal of Nonlinear and Variational Analysis;2024-05-01

3. Computing the recession cone of a convex upper image via convex projection;Journal of Global Optimization;2024-03-01

4. Polyhedral Approximation of Spectrahedral Shadows via Homogenization;Journal of Optimization Theory and Applications;2024-01-17

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