Fast algorithms for knapsack via convolution and prediction

Author:

Bateni MohammadHossein1,Hajiaghayi MohammadTaghi2,Seddighin Saeed2,Stein Cliff3

Affiliation:

1. Google, USA

2. University of Maryland, USA

3. Columbia University, USA

Funder

National Science Foundation

Defense Sciences Office, DARPA

Publisher

ACM

Reference31 articles.

1. Arturs Backurs Piotr Indyk and Ludwig Schmidt. 2017. Better Approximations for Tree Sparsity in Nearly-linear Time. In SODA. 2215–2229. Arturs Backurs Piotr Indyk and Ludwig Schmidt. 2017. Better Approximations for Tree Sparsity in Nearly-linear Time. In SODA. 2215–2229.

2. Richard Bellman. 1957. Richard Bellman. 1957.

3. David Bremner Timothy M. Chan Erik D. Demaine Jeff Erickson Ferran Hurtado John Iacono Stefan Langerman Mihai Patrascu and Perouz Taslakian. 2006. David Bremner Timothy M. Chan Erik D. Demaine Jeff Erickson Ferran Hurtado John Iacono Stefan Langerman Mihai Patrascu and Perouz Taslakian. 2006.

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4. Structured $$(\min ,+)$$-convolution and its applications for the shortest/closest vector and nonlinear knapsack problems;Optimization Letters;2023-05-27

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