DESCENT METHODS

Linear and Nonlinear Optimization - International Series in Operations Research & Management Science ◽

10.1007/978-1-4939-7055-1_10 ◽

2017 ◽

pp. 317-368

Author(s):

Richard W. Cottle ◽

Mukund N. Thapa

Keyword(s):

Descent Methods

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Efficient Asynchronous Semi-stochastic Block Coordinate Descent Methods for Large-Scale SVD

IEEE Access ◽

10.1109/access.2021.3094282 ◽

2021 ◽

pp. 1-1

Author(s):

Fanhua Shang ◽

Zhihui Zhang ◽

Yuanyuan Liu ◽

Hongying Liua ◽

Jing Xu

Keyword(s):

Large Scale ◽

Coordinate Descent ◽

Descent Methods ◽

Block Coordinate Descent

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Descent methods for monotone equilibrium problems in Banach spaces

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2005.04.004 ◽

2006 ◽

Vol 188 (2) ◽

pp. 165-179 ◽

Author(s):

I.V. Konnov ◽

M.S.S. Ali

Keyword(s):

Banach Spaces ◽

Equilibrium Problems ◽

Descent Methods

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Most continuous descent methods converge

Archiv der Mathematik ◽

10.1007/s00013-005-1233-1 ◽

2005 ◽

Vol 85 (3) ◽

pp. 268-277 ◽

Author(s):

Sergiu Aizicovici ◽

Simeon Reich ◽

Alexander J. Zaslavski

Keyword(s):

Descent Methods

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Steepest descent methods for multicriteria optimization

Mathematical Methods of Operations Research ◽

10.1007/s001860000043 ◽

2000 ◽

Vol 51 (3) ◽

pp. 479-494 ◽

Author(s):

Jörg Fliege ◽

Benar Fux Svaiter

Keyword(s):

Multicriteria Optimization ◽

Steepest Descent ◽

Descent Methods

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Convergence of Hybrid Steepest-Descent Methods for Variational Inequalities

Journal of Optimization Theory and Applications ◽

10.1023/b:jota.0000005048.79379.b6 ◽

2003 ◽

Vol 119 (1) ◽

pp. 185-201 ◽

Author(s):

H. K. Xu ◽

T. H. Kim

Keyword(s):

Variational Inequalities ◽

Steepest Descent ◽

Descent Methods

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Global convergence of nonmonotone descent methods for unconstrained optimization problems

Journal of Computational and Applied Mathematics ◽

10.1016/s0377-0427(02)00420-x ◽

2002 ◽

Vol 146 (1) ◽

pp. 89-98 ◽

Author(s):

Wenyu Sun ◽

Jiye Han ◽

Jie Sun

Keyword(s):

Global Convergence ◽

Unconstrained Optimization ◽

Optimization Problems ◽

Descent Methods ◽

Unconstrained Optimization Problems

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Investigation on House Price Prediction with Various Gradient Descent Methods

Journal of Physics Conference Series ◽

10.1088/1742-6596/1827/1/012186 ◽

2021 ◽

Vol 1827 (1) ◽

pp. 012186

Author(s):

Yan Sun

Keyword(s):

Gradient Descent ◽

House Price ◽

Descent Methods ◽

Price Prediction ◽

Gradient Descent Methods

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Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods

Neural Computing and Applications ◽

10.1007/s00521-021-06550-1 ◽

2021 ◽

Author(s):

Saeed Samadianfard ◽

Katayoun Kargar ◽

Sadra Shadkani ◽

Sajjad Hashemi ◽

Akram Abbaspour ◽

...

Keyword(s):

Genetic Algorithm ◽

Random Forest ◽

Suspended Sediment ◽

Gradient Descent ◽

Hybrid Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Descent Methods ◽

Multi Layer Perceptron ◽

Gradient Descent Methods

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Two Symmetrized Coordinate Descent Methods Can Be $O(n^2)$ Times Slower Than the Randomized Version

SIAM Journal on Optimization ◽

10.1137/19m1292473 ◽

2021 ◽

Vol 31 (4) ◽

pp. 2726-2752

Author(s):

Peijun Xiao ◽

Zhisheng Xiao ◽

Ruoyu Sun

Keyword(s):

Coordinate Descent ◽

Descent Methods

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Line Search Descent Methods for Unconstrained Minimization

Applied Optimization - Practical Mathematical Optimization ◽

10.1007/0-387-24349-6_2 ◽

2005 ◽

pp. 33-55

Keyword(s):

Line Search ◽

Unconstrained Minimization ◽

Descent Methods

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