Výsledky vyhledávání - semidefinite programming (SDP) with diagonal constraints

  1. 1

    Distributed Synchronous and Asynchronous Algorithms for Semidefinite Programming With Diagonal Constraints Autor Jiang, Xia, Zeng, Xianlin, Sun, Jian, Chen, Jie

    ISSN: 0018-9286, 1558-2523
    Vydáno: New York IEEE 01.02.2023
    “…This article develops distributed synchronous and asynchronous algorithms for the large-scale semidefinite programming with diagonal constraints, which has wide applications in combinatorial…”
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    Journal Article
  2. 2

    Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs Autor Erdogdu, Murat A., Ozdaglar, Asuman, Parrilo, Pablo A., Vanli, Nuri Denizcan

    ISSN: 0025-5610, 1436-4646
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022
    Vydáno v Mathematical programming (01.09.2022)
    “…Semidefinite programming (SDP) with diagonal constraints arise in many optimization problems, such as Max-Cut, community detection and group synchronization…”
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  3. 3

    Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs Autor Erdogdu, Murat A, Ozdaglar, Asuman, Parrilo, Pablo A, Vanli, Nuri Denizcan

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 26.11.2019
    Vydáno v arXiv.org (26.11.2019)
    “…Semidefinite programming (SDP) with diagonal constraints arise in many optimization problems, such as Max-Cut, community detection and group synchronization…”
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  4. 4

    T-semidefinite programming relaxation with third-order tensors for constrained polynomial optimization Autor Marumo, Hiroki, Kim, Sunyoung, Yamashita, Makoto

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer US 01.09.2024
    “…We study T-semidefinite programming (SDP) relaxation for constrained polynomial optimization problems (POPs…”
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    Journal Article
  5. 5

    Fast SDP Relaxation of the Optimal Power Flow Using the Line-Wise Model for Representing Meshed Transmission Networks Autor Aldik, Abdel Rahman, Venkatesh, Bala

    ISSN: 0885-8950, 1558-0679
    Vydáno: New York IEEE 01.07.2023
    Vydáno v IEEE transactions on power systems (01.07.2023)
    “…In this paper, we propose a novel Semidefinite Programming (SDP) relaxation of the Optimal Power Flow (OPF) problem…”
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  6. 6

    Exact SDP relaxations of quadratically constrained quadratic programs with forest structures Autor Azuma, Godai, Fukuda, Mituhiro, Kim, Sunyoung, Yamashita, Makoto

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.02.2022
    Vydáno v Journal of global optimization (01.02.2022)
    “…We study the exactness of the semidefinite programming (SDP) relaxation of quadratically constrained quadratic programs (QCQPs…”
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  7. 7

    Exact Solutions of Some Nonconvex Quadratic Optimization Problems via SDP and SOCP Relaxations Autor Kim, Sunyoung, Kojima, Masakazu

    ISSN: 0926-6003, 1573-2894
    Vydáno: New York Springer Nature B.V 01.11.2003
    “…We show that SDP (semidefinite programming) and SOCP (second order cone programming…”
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  8. 8

    Complexity of chordal conversion for sparse semidefinite programs with small treewidth Autor Zhang, Richard Y.

    ISSN: 0025-5610, 1436-4646
    Vydáno: Heidelberg Springer Nature B.V 01.09.2025
    Vydáno v Mathematical programming (01.09.2025)
    “…If a sparse semidefinite program (SDP), specified over n×n matrices and subject to m linear constraints, has an aggregate sparsity graph G with small treewidth…”
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  9. 9

    Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs Autor Chen, Yuwen, Goulart, Paul

    Vydáno: EUCA 12.07.2022
    “… Our approach is able to solve a class of large-scale SDPs with diagonal constraints. We prove that our ADMM algorithm converges globally to the set of first-order…”
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    Konferenční příspěvek
  10. 10

    Complexity of chordal conversion for sparse semidefinite programs with small treewidth: Complexity of chordal conversion for sparse semidefinite Autor Zhang, Richard Y.

    ISSN: 0025-5610, 1436-4646
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025
    Vydáno v Mathematical programming (01.09.2025)
    “…If a sparse semidefinite program (SDP), specified over n × n matrices and subject to m linear constraints, has an aggregate sparsity graph G with small…”
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    Journal Article
  11. 11

    Burer-Monteiro ADMM for Large-scale SDPs Autor Chen, Yuwen, Goulart, Paul

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 08.02.2023
    Vydáno v arXiv.org (08.02.2023)
    “… Our approach is able to solve a class of large-scale SDPs with diagonal constraints. We prove that our ADMM algorithm converges globally to a first-order stationary point…”
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    Paper
  12. 12

    Robust Superimposed Training Designs for MIMO Relaying Systems Under General Power Constraints Autor Rong, Beini, Zhang, Zhongshan, Zhao, Xin, Yu, Xiaoyun

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “… In order to effectively address this problem, we propose an iterative semidefinite programming (SDP…”
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  13. 13

    Faster, but weaker, relaxations for quadratically constrained quadratic programs Autor Burer, Samuel, Kim, Sunyoung, Kojima, Masakazu

    ISSN: 0926-6003, 1573-2894
    Vydáno: Boston Springer US 01.10.2014
    “…). In contrast to existing relaxations based on semidefinite programming (SDP), our relaxations incorporate features of both SDP and second order cone programming (SOCP…”
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  14. 14

    Asymptotic behavior of the central path for a special class of degenerate SDP problems Autor Neto, João X. da Cruz, Ferreira, Orizon P., Monteiro, Renato D. C.

    ISSN: 0025-5610, 1436-4646
    Vydáno: Heidelberg Springer 01.07.2005
    Vydáno v Mathematical programming (01.07.2005)
    “…This paper studies the asymptotic behavior of the central path (X(), S(), y()) as 0 for a class of degenerate semidefinite programming (SDP…”
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  15. 15

    Exact SDP relaxations of quadratically constrained quadratic programs with forest structures Autor Azuma, Godai, Fukuda, Mituhiro, Kim, Sunyoung, Yamashita, Makoto

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 19.09.2020
    Vydáno v arXiv.org (19.09.2020)
    “…We study the exactness of the semidefinite programming (SDP) relaxation of quadratically constrained quadratic programs (QCQPs…”
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    Paper
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    On the integrality gap of the maximum-cut semidefinite programming relaxation in fixed dimension Autor Fernando Mario de Oliveira Filho, Frank Vallentin

    ISSN: 2397-3129
    Vydáno: Alliance of Diamond Open Access Journals 05.08.2020
    Vydáno v Discrete analysis (05.08.2020)
    “…On the integrality gap of the maximum-cut semidefinite programming relaxation in fixed dimension, Discrete Analysis 2020:10, 17 pp…”
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  17. 17

    T-semidefinite programming relaxation with third-order tensors for constrained polynomial optimization Autor Marumo, Hiroki, Kim, Sunyoung, Yamashita, Makoto

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 14.05.2024
    Vydáno v arXiv.org (14.05.2024)
    “…We study T-semidefinite programming (SDP) relaxation for constrained polynomial optimization problems (POPs…”
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    Paper
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    Further Results on Approximating Nonconvex Quadratic Optimization by Semidefinite Programming Relaxation Autor Tseng, Paul

    ISSN: 1052-6234, 1095-7189
    Vydáno: Philadelphia Society for Industrial and Applied Mathematics 01.01.2003
    Vydáno v SIAM journal on optimization (01.01.2003)
    “…We study approximation bounds for the semidefinite programming (SDP) relaxation ofquadratically constrained quadratic optimization: $\min f^0(x)$ subject to $f^k(x)\le 0$, $k=1,\dots,m$, where fk(x)=xTAkx+(bk)Tx+ck…”
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    Actuarial Risk Matrices: The Nearest Positive Semidefinite Matrix Problem Autor Cutajar, Stefan, Smigoc, Helena, O'Hagan, Adrian

    ISSN: 1092-0277, 2325-0453
    Vydáno: Routledge 02.10.2017
    Vydáno v North American actuarial journal (02.10.2017)
    “… (not positive semidefinite). This can prove problematic in using the matrix in statistical models…”
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    Fast ADMM for Sum-of-Squares Programs Using Partial Orthogonality Autor Zheng, Yang, Fantuzzi, Giovanni, Papachristodoulou, Antonis

    ISSN: 0018-9286, 1558-2523
    Vydáno: New York IEEE 01.09.2019
    “…When sum-of-squares (SOS) programs are recast as semidefinite programs (SDPs) using the standard monomial basis, the constraint matrices in the SDP possess a structural property that we call partial orthogonality…”
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