Search Results - "conditional gradient algorithm"

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  1. 1

    A Nonsmooth Frank–Wolfe Algorithm Through a Dual Cutting-Plane Approach by Mazanti, Guilherme, Moquet, Thibault, Pfeiffer, Laurent

    ISSN: 0022-3239, 1573-2878
    Published: New York Springer US 01.11.2025
    “…An extension of the Frank–Wolfe Algorithm (FWA), also known as Conditional Gradient algorithm, is proposed. In its standard form, the FWA allows to solve…”
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    Journal Article
  2. 2

    Primal and dual predicted decrease approximation methods by Beck, Amir, Pauwels, Edouard, Sabach, Shoham

    ISSN: 0025-5610, 1436-4646
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2018
    Published in Mathematical programming (01.01.2018)
    “…We introduce the notion of predicted decrease approximation (PDA) for constrained convex optimization, a flexible framework which includes as special cases…”
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    Journal Article
  3. 3

    Convergence of a conditional gradient algorithm for relaxed controls involving first boundary value problems of parabolic type by Teo, K. L.

    ISSN: 0163-0563, 1532-2467
    Published: Philadelphia, PA Marcel Dekker, Inc 01.01.1983
    “…In this paper, we consider a class of optimal control problems involving linear first boundary value problems of parabolic type. A conditional gradient method…”
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  4. 4

    Conditional Gradient Algorithms for Rank-One Matrix Approximations with a Sparsity Constraint by Luss, Ronny, Teboulle, Marc

    ISSN: 0036-1445, 1095-7200
    Published: Philadelphia Society for Industrial and Applied Mathematics 01.01.2013
    Published in SIAM review (01.01.2013)
    “…The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array of useful…”
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  5. 5

    Quadratic programming by Turlach, Berwin A., Wright, Stephen J.

    ISSN: 1939-5108, 1939-0068
    Published: Hoboken, USA John Wiley & Sons, Inc 01.03.2015
    “…Optimization problems in which a quadratic objective function is optimized subject to linear constraints on the parameters are known as quadratic programming…”
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