Second-Order Dynamics with Hessian-Driven Damping for Linearly Constrained Convex Minimization

Simon K. Niederländer

doi:10.1137/20m1323679

Second-Order Dynamics with Hessian-Driven Damping for Linearly Constrained Convex Minimization

SIAM Journal on Control and Optimization ◽

10.1137/20m1323679 ◽

2021 ◽

Vol 59 (5) ◽

pp. 3708-3736

Author(s):

Simon K. Niederländer

Keyword(s):

Second Order ◽

Convex Minimization ◽

Constrained Convex Minimization ◽

Linearly Constrained

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A prediction–correction-based primal–dual hybrid gradient method for linearly constrained convex minimization

Numerical Algorithms ◽

10.1007/s11075-018-0618-8 ◽

2018 ◽

Vol 82 (2) ◽

pp. 641-662

Author(s):

Feng Ma ◽

Yiming Bi ◽

Bin Gao

Keyword(s):

Gradient Method ◽

Convex Minimization ◽

Constrained Convex Minimization ◽

Primal Dual ◽

Linearly Constrained

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On the Convergence Rate of Dual Ascent Methods for Linearly Constrained Convex Minimization

Mathematics of Operations Research ◽

10.1287/moor.18.4.846 ◽

1993 ◽

Vol 18 (4) ◽

pp. 846-867 ◽

Cited By ~ 39

Author(s):

Zhi-Quan Luo ◽

Paul Tseng

Keyword(s):

Convergence Rate ◽

Convex Minimization ◽

Constrained Convex Minimization ◽

Dual Ascent ◽

Linearly Constrained

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An unconstrained optimization technique for large-scale linearly constrained convex minimization problems

Computing ◽

10.1007/bf02252984 ◽

1994 ◽

Vol 53 (2) ◽

pp. 101-117 ◽

Cited By ~ 16

Author(s):

C. Kanzow

Keyword(s):

Unconstrained Optimization ◽

Large Scale ◽

Optimization Technique ◽

Convex Minimization ◽

Constrained Convex Minimization ◽

Minimization Problems ◽

Convex Minimization Problems ◽

Linearly Constrained

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On the Resolution of Linearly Constrained Convex Minimization Problems

SIAM Journal on Optimization ◽

10.1137/0804018 ◽

1994 ◽

Vol 4 (2) ◽

pp. 331-339 ◽

Cited By ~ 21

Author(s):

Ana Friedlander ◽

José Mario Martínez ◽

Sandra A. Santos

Keyword(s):

Convex Minimization ◽

Constrained Convex Minimization ◽

Minimization Problems ◽

Convex Minimization Problems ◽

Linearly Constrained

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Coupling the Logarithmic-Quadratic Proximal Method and the Block Nonlinear Gauss-Seidel Algorithm for Linearly Constrained Convex Minimization

Lecture Notes in Economics and Mathematical Systems - Ill-posed Variational Problems and Regularization Techniques ◽

10.1007/978-3-642-45780-7_3 ◽

1999 ◽

pp. 35-47 ◽

Cited By ~ 4

Author(s):

Alfred Auslender ◽

Marc Teboulle ◽

Sami Ben-Tiba

Keyword(s):

Convex Minimization ◽

Proximal Method ◽

Constrained Convex Minimization ◽

Linearly Constrained

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Projective method of multipliers for linearly constrained convex minimization

Computational Optimization and Applications ◽

10.1007/s10589-019-00065-1 ◽

2019 ◽

Vol 73 (1) ◽

pp. 237-273 ◽

Cited By ~ 1

Author(s):

Majela Pentón Machado

Keyword(s):

Convex Minimization ◽

Method Of Multipliers ◽

Projective Method ◽

Constrained Convex Minimization ◽

Linearly Constrained

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Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach

Computational Optimization and Applications ◽

10.1007/s10589-013-9616-x ◽

2013 ◽

Vol 59 (1-2) ◽

pp. 135-161 ◽

Cited By ~ 28

Author(s):

Guoyong Gu ◽

Bingsheng He ◽

Xiaoming Yuan

Keyword(s):

Saddle Point ◽

Convex Minimization ◽

Saddle Point Problems ◽

Unified Approach ◽

Proximal Point ◽

Proximal Point Algorithms ◽

Constrained Convex Minimization ◽

Linearly Constrained

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A second-order gradient method for convex minimization

Boletín de la Sociedad Matemática Mexicana ◽

10.1007/s40590-021-00375-7 ◽

2021 ◽

Vol 27 (3) ◽

Author(s):

Harry Oviedo

Keyword(s):

Gradient Method ◽

Second Order ◽

Convex Minimization

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A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Nonconvex Optimization

SIAM Journal on Optimization ◽

10.1137/19m1256415 ◽

2020 ◽

Vol 30 (3) ◽

pp. 2501-2529

Author(s):

Maher Nouiehed ◽

Meisam Razaviyayn

Keyword(s):

Nonconvex Optimization ◽

Trust Region Method ◽

Trust Region ◽

Second Order ◽

Region Method ◽

Linearly Constrained

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Forward–Backward Penalty Scheme for Constrained Convex Minimization Without Inf-Compactness

Journal of Optimization Theory and Applications ◽

10.1007/s10957-013-0296-6 ◽

2013 ◽

Vol 158 (3) ◽

pp. 787-795 ◽

Cited By ~ 18

Author(s):

Nahla Noun ◽

Juan Peypouquet

Keyword(s):

Convex Minimization ◽

Constrained Convex Minimization

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