Search Results - large-scale linearly constrained nonlinear programming

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  1. 1

    Parallel Algorithms for Large-scale Linearly Constrained Minimization Problem by Han, Cong-ying, Zheng, Fang-ying, Guo, Tian-de, He, Guo-ping

    ISSN: 0168-9673, 1618-3932
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2014
    Published in Acta Mathematicae Applicatae Sinica (01.07.2014)
    “… amount each iteration and is closer to practical applications for solve large-scale nonlinear programming…”
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    Journal Article
  2. 2

    A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming by Wang, Chengjing, Tang, Peipei

    ISSN: 0926-6003, 1573-2894
    Published: New York Springer US 01.12.2017
    “…In this paper, we propose a primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming problems, especially for some difficult problems…”
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    Journal Article
  3. 3

    On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem by Han, Congying, Wang, Yongli, He, Guoping

    ISSN: 0096-3003, 1873-5649
    Published: Amsterdam Elsevier Inc 15.05.2009
    Published in Applied mathematics and computation (15.05.2009)
    “… an asynchronous PVT algorithm for solving large-scale linearly constrained convex minimization problems…”
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    Journal Article
  4. 4

    A Globally Convergent Linearly Constrained Lagrangian Method for Nonlinear Optimization by Friedlander, Michael P., Saunders, Michael A.

    ISSN: 1052-6234, 1095-7189
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2005
    Published in SIAM journal on optimization (01.01.2005)
    “…For optimization problems with nonlinear constraints, linearly constrained Lagrangian (LCL…”
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    Journal Article
  5. 5

    Decomposition Algorithm Model for Singly Linearly-Constrained Problems Subject to Lower and Upper Bounds by Lin, C. J., Lucidi, S., Palagi, L., Risi, A., Sciandrone, M.

    ISSN: 0022-3239, 1573-2878
    Published: Boston Springer US 01.04.2009
    “…Many real applications can be formulated as nonlinear minimization problems with a single linear equality constraint and box constraints…”
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    Journal Article
  6. 6

    Multicast Wirelessly Powered Network With Large Number of Antennas via First-Order Method by Wang, Shuai, Xia, Minghua, Wu, Yik-Chung

    ISSN: 1536-1276
    Published: IEEE 01.06.2018
    “… difference of convex programming becomes prohibitively time consuming in large-scale settings…”
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    Journal Article
  7. 7

    On Modified Factorizations for Large-Scale Linearly Constrained Optimization by Gould, Nicholas Ian Mark

    ISSN: 1052-6234, 1095-7189
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.1999
    Published in SIAM journal on optimization (01.01.1999)
    “…We consider the algebraic issues concerning the solution of general, large-scale, linearly constrained nonlinear optimization problems…”
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    Journal Article
  8. 8

    On the solution of linearly constrained optimization problems by means of barrier algorithms by Birgin, E. G., Gardenghi, J. L., Martínez, J. M., Santos, S. A.

    ISSN: 1134-5764, 1863-8279
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2021
    Published in TOP (01.07.2021)
    “…Many practical problems require the solution of large-scale constrained optimization problems for which preserving feasibility is a key issue, and the evaluation of the objective function is very expensive…”
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    Journal Article
  9. 9

    A proximal subgradient projection algorithm for linearly constrained strictly convex problems by Ouorou, Adam

    ISSN: 1055-6788, 1029-4937
    Published: Taylor & Francis 01.08.2007
    Published in Optimization methods & software (01.08.2007)
    “…We propose a new algorithm for linearly constrained strictly convex problems. This algorithm follows the characterization of saddle points introduced earlier in ref. [Ouorou…”
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    Journal Article
  10. 10

    Tailored Benders Decomposition for a Long-Term Power Expansion Model with Short-Term Demand Response by Lohmann, Timo, Rebennack, Steffen

    ISSN: 0025-1909, 1526-5501
    Published: Linthicum INFORMS 01.06.2017
    Published in Management science (01.06.2017)
    “… Given mild assumptions for the underlying demand function, the resulting model is a large-scale, concave, linearly constrained maximization problem…”
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    Journal Article
  11. 11

    Interior-point solver for convex separable block-angular problems by Castro, Jordi

    ISSN: 1055-6788, 1029-4937
    Published: Abingdon Taylor & Francis 02.01.2016
    Published in Optimization methods & software (02.01.2016)
    “…: it solves linearly constrained convex separable problems (linear…”
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    Journal Article Publication
  12. 12

    Nonlinear Programming 4: Proceedings of the Nonlinear Programming Symposium 4 Conducted by the Computer Sciences Department at the University of Wisconsin-Madison, July 14-16, 1980 by Mangasarian, Olvi L, Meyer, Robert R, Robinson, Stephen M

    ISBN: 0124686621, 9780124686625
    Published: Academic Press 10.05.2014
    “… constrained optimization. Discussions focus on large-scale linearly constrained optimization, search direction for superbasic variables, finite convergence, basic properties, comparison of three active set methods, and QP…”
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    eBook
  13. 13

    Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization by Patrascu, A, Necoara, I

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 24.06.2014
    Published in arXiv.org (24.06.2014)
    “… Further, we consider both cases: unconstrained and linearly constrained nonconvex problems…”
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    Paper
  14. 14

    Augmented Lagrangian based first-order methods for convex-constrained programs with weakly-convex objective by Li, Zichong, Xu, Yangyang

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 09.02.2021
    Published in arXiv.org (09.02.2021)
    “…First-order methods (FOMs) have been widely used for solving large-scale problems…”
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    Paper
  15. 15

    A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems by Subramanyam, Anirudh, Kim, Youngdae, Schanen, Michel, Pacaud, François, Anitescu, Mihai

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 16.12.2021
    Published in arXiv.org (16.12.2021)
    “…Motivated by the increasing availability of high-performance parallel computing, we design a distributed parallel algorithm for linearly-coupled block-structured nonconvex constrained optimization problems…”
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    Paper
  16. 16

    A semi-smooth Newton method for a special piecewise linear system with application to positively constrained convex quadratic programming by Barrios, J G, Bello Cruz, J Y, Ferreira, O P, Németh, S Z

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 12.11.2015
    Published in arXiv.org (12.11.2015)
    “… accurate solutions to large scale problems in few iterations…”
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    Paper
  17. 17

    Users Guide for SnadiOpt: A Package Adding Automatic Differentiation to Snopt by Gertz, E Michael, Gill, Philip E, Muetherig, Julia

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 25.06.2001
    Published in arXiv.org (25.06.2001)
    “… It is suitable for large-scale linear and quadratic programming and for linearly constrained optimization, as well as for general nonlinear programs…”
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    Paper
  18. 18

    Exploiting Problem Structure for Faster Optimization: A Trilinear Saddle Point Approach by Zhang, Zhe

    ISBN: 9798265402127
    Published: ProQuest Dissertations & Theses 01.01.2023
    “… By effectively leveraging problem structure, our approach significantly improves computation complexities for a few important problem classes in stochastic programming and non-linear programming…”
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    Dissertation
  19. 19

    Large Scale Optimal Power Flow by Burchett, R.C., Happ, H.H., Wirgau, K.A.

    ISSN: 0018-9510
    Published: IEEE 01.10.1982
    “…A new optimization method is applied to optimal power flow analysis. The method is shown to be well suited to large scale (500 buses…”
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    Journal Article
  20. 20

    Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems by Hong, Mingyi, Zhi-Quan Luo, Razaviyayn, Meisam

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 30.11.2015
    Published in arXiv.org (30.11.2015)
    “…The alternating direction method of multipliers (ADMM) is widely used to solve large-scale linearly constrained optimization problems, convex or nonconvex, in many engineering fields…”
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    Paper