Hidden Hamiltonian Cycle Recovery via Linear Programming-Reference-Cited by-同舟云学术

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Hidden Hamiltonian Cycle Recovery via Linear Programming

Published:2020-01 Issue:1 Volume:68 Page:53-70
ISSN:0030-364X
Container-title:Operations Research
language:en
Short-container-title:Operations Research

Author:

Bagaria Vivek¹,Ding Jian²,Tse David¹,Wu Yihong³,Xu Jiaming⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Stanford University, Stanford, California 94305;

2. Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104;

3. Department of Statistics and Data Science, Yale University, New Haven, Connecticut 06511;

4. Fuqua School of Business, Duke University, Durham, North Carolina 27708

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Reference38 articles.

1. Abbe E, Sandon C (2015) Community detection in general stochastic block models: fundamental limits and efficient recovery algorithms. Proc. 2015 IEEE 56th Annual Sympos. Foundations Comput. Sci. (IEEE Computer Society, Washington, DC), 670–688.

2. Nearly linear-time packing and covering LP solvers

3. Finding a large hidden clique in a random graph

4. A Spectral Algorithm for Seriation and the Consecutive Ones Problem

5. Integer Programming: Methods, Uses, Computations

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