Optimization Methods and Software
Latest Publications

TOTAL DOCUMENTS

1599

(FIVE YEARS 176)

H-INDEX

59

(FIVE YEARS 4)

Published By Informa Uk (Taylor & Francis)

1029-4937, 1055-6788

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

General framework for binary classification on top samples

Optimization Methods and Software ◽

10.1080/10556788.2021.1965601 ◽

2021 ◽

pp. 1-32

Author(s):

L. Adam ◽

V. Mácha ◽

V. Šmídl ◽

T. Pevný

Keyword(s):

General Framework ◽

Binary Classification

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Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments

Optimization Methods and Software ◽

10.1080/10556788.2021.1977810 ◽

2021 ◽

pp. 1-35

Author(s):

Andreas Fischer ◽

Alain B. Zemkoho ◽

Shenglong Zhou

Keyword(s):

Global Convergence ◽

Numerical Experiments ◽

Bilevel Optimization ◽

Type Method ◽

Semismooth Newton

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Quasi-Newton methods for machine learning: forget the past, just sample

Optimization Methods and Software ◽

10.1080/10556788.2021.1977806 ◽

2021 ◽

pp. 1-37

Author(s):

A. S. Berahas ◽

M. Jahani ◽

P. Richtárik ◽

M. Takáč

Keyword(s):

Machine Learning ◽

Newton Methods ◽

The Past ◽

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Global optimization for sparse solution of least squares problems

Optimization Methods and Software ◽

10.1080/10556788.2021.1977809 ◽

2021 ◽

pp. 1-30

Author(s):

Ramzi Ben Mhenni ◽

Sébastien Bourguignon ◽

Jordan Ninin

Keyword(s):

Global Optimization ◽

Least Squares ◽

Least Squares Problems ◽

Sparse Solution

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An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization

Optimization Methods and Software ◽

10.1080/10556788.2021.1977808 ◽

2021 ◽

pp. 1-15

Author(s):

M. Lotfi ◽

S. Mohammad Hosseini

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Sufficient Descent Property ◽

Descent Property ◽

Sufficient Descent ◽

Hybrid Conjugate Gradient Method

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Off-line exploration of rectangular cellular environments with a rectangular obstacle

Optimization Methods and Software ◽

10.1080/10556788.2021.1977811 ◽

2021 ◽

pp. 1-15

Author(s):

Fatemeh Keshavarz-Kohjerdi

Keyword(s):

Rectangular Obstacle

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Linear systems arising in interior methods for convex optimization: a symmetric formulation with bounded condition number

Optimization Methods and Software ◽

10.1080/10556788.2021.1965599 ◽

2021 ◽

pp. 1-26

Author(s):

Alexandre Ghannad ◽

Dominique Orban ◽

Michael A. Saunders

Keyword(s):

Convex Optimization ◽

Linear Systems ◽

Condition Number ◽

Interior Methods ◽

Symmetric Formulation

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Exact penalties for decomposable convex optimization problems

Optimization Methods and Software ◽

10.1080/10556788.2021.1977807 ◽

2021 ◽

pp. 1-20

Author(s):

I. V. Konnov

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Convex Optimization Problems

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Stochastic approximation versus sample average approximation for Wasserstein barycenters

Optimization Methods and Software ◽

10.1080/10556788.2021.1965600 ◽

2021 ◽

pp. 1-33

Author(s):

Darina Dvinskikh

Keyword(s):

Stochastic Approximation ◽

Sample Average Approximation ◽

Sample Average ◽

Versus Sample ◽

Average Approximation

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On well-structured convex–concave saddle point problems and variational inequalities with monotone operators

Optimization Methods and Software ◽

10.1080/10556788.2021.1928121 ◽

2021 ◽

pp. 1-36

Author(s):

Anatoli Juditsky ◽

Arkadi Nemirovski

Keyword(s):

Variational Inequalities ◽

Saddle Point ◽

Monotone Operators ◽

Saddle Point Problems

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