skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 66,227  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Refined by: subject: Mathematics remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
Material Type:
Article 		Add to My Research

Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

Mathematical Programming, Series A, 2013-02, Vol.137 (1-2), p.91-129 [Peer Reviewed Journal]

Springer and Mathematical Optimization Society 2011 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-011-0484-9 ;CODEN: MHPGA4

Full text available

Citations Cited by
2
Elephant Herding Optimization: Variants, Hybrids, and Applications
Elephant Herding Optimization: Variants, Hybrids, and Applications
Material Type:
Article 		Add to My Research

Elephant Herding Optimization: Variants, Hybrids, and Applications

Mathematics (Basel), 2020-09, Vol.8 (9), p.1415 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math8091415

Full text available

Citations Cited by
3
Parallel coordinate descent methods for big data optimization
Parallel coordinate descent methods for big data optimization
Material Type:
Article 		Add to My Research

Parallel coordinate descent methods for big data optimization

Mathematical programming, 2016-03, Vol.156 (1-2), p.433-484 [Peer Reviewed Journal]

The Author(s) 2015 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-015-0901-6 ;CODEN: MHPGA4

Full text available

Citations Cited by
4
Efficient global optimization algorithm assisted by multiple surrogate techniques
Efficient global optimization algorithm assisted by multiple surrogate techniques
Material Type:
Article 		Add to My Research

Efficient global optimization algorithm assisted by multiple surrogate techniques

Journal of global optimization, 2013-06, Vol.56 (2), p.669-689 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2012 ;COPYRIGHT 2022 Springer ;Springer Science+Business Media New York 2013 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-012-9892-5

Full text available

Citations Cited by
5
Data-driven robust optimization
Data-driven robust optimization
Material Type:
Article 		Add to My Research

Data-driven robust optimization

Mathematical programming, 2018-02, Vol.167 (2), p.235-292 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2017 ;Mathematical Programming is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-017-1125-8

Full text available

Citations Cited by
6
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
Material Type:
Article 		Add to My Research

Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

Journal of global optimization, 2016-01, Vol.64 (1), p.17-32 [Peer Reviewed Journal]

The Author(s) 2015 ;COPYRIGHT 2016 Springer ;Springer Science+Business Media New York 2016 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-015-0270-y

Full text available

Citations Cited by
7
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Material Type:
Article 		Add to My Research

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

Optimization methods & software, 2021-01, Vol.36 (1), p.114-144 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1055-6788 ;EISSN: 1029-4937 ;DOI: 10.1080/10556788.2020.1808977

Digital Resources/Online E-Resources

Citations Cited by
8
Theory and Applications of Robust Optimization
Theory and Applications of Robust Optimization
Material Type:
Article 		Add to My Research

Theory and Applications of Robust Optimization

SIAM review, 2011-01, Vol.53 (3), p.464-501 [Peer Reviewed Journal]

Copyright ©2011 Society for Industrial and Applied Mathematics ;2015 INIST-CNRS ;[Copyright] © 2011 Society for Industrial and Applied Mathematics ;ISSN: 0036-1445 ;EISSN: 1095-7200 ;DOI: 10.1137/080734510 ;CODEN: SIREAD

Full text available

Citations Cited by
9
Gradient methods for minimizing composite functions
Gradient methods for minimizing composite functions
Material Type:
Article 		Add to My Research

Gradient methods for minimizing composite functions

Mathematical programming, 2013-08, Vol.140 (1), p.125-161 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2012 ;Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013 ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-012-0629-5 ;CODEN: MHPGA4

Full text available

Citations Cited by
10
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Material Type:
Book 		Add to My Research

Optimization with Sparsity-Inducing Penalties

Foundations and trends in machine learning, 2012 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000015

Digital Resources/Online E-Resources

Citations Cited by
11
Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media
Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media
Material Type:
Book 		Add to My Research

Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media

ISBN: 9783642140020 ;ISBN: 3642140025 ;EISBN: 3642140033 ;EISBN: 9783642140037 ;OCLC: 771212897

Full text available

Citations Cited by
12
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality
Material Type:
Article 		Add to My Research

A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality

Journal of optimization theory and applications, 2011-02, Vol.148 (2), p.257-280 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2010 ;2015 INIST-CNRS ;Springer Science+Business Media, LLC 2011 ;ISSN: 0022-3239 ;EISSN: 1573-2878 ;DOI: 10.1007/s10957-010-9754-6 ;CODEN: JOTABN

Full text available

Citations Cited by
13
A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles
A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles
Material Type:
Article 		Add to My Research

A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles

Optimization methods & software, 2017-01, Vol.32 (1), p.148-181 [Peer Reviewed Journal]

2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2016 ;ISSN: 1055-6788 ;EISSN: 1029-4937 ;DOI: 10.1080/10556788.2016.1208749

Digital Resources/Online E-Resources

Citations Cited by
14
A trust region algorithm with a worst-case iteration complexity of O(ϵ-3/2) for nonconvex optimization
A trust region algorithm with a worst-case iteration complexity of O(ϵ-3/2) for nonconvex optimization
Material Type:
Article 		Add to My Research

A trust region algorithm with a worst-case iteration complexity of O(ϵ-3/2) for nonconvex optimization

Mathematical programming, 2017-03, Vol.162 (1-2), p.1-32 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1026-2 ;CODEN: MHPGA4

Full text available

Citations Cited by
15
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Material Type:
Article 		Add to My Research

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Journal of global optimization, 2007-11, Vol.39 (3), p.459-471 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2007 ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-007-9149-x

Full text available

Citations Cited by
16
Robust sample average approximation
Robust sample average approximation
Material Type:
Article 		Add to My Research

Robust sample average approximation

Mathematical programming, 2018-09, Vol.171 (1-2), p.217-282 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany and Mathematical Optimization Society 2017 ;Mathematical Programming is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-017-1174-z

Full text available

Citations Cited by
17
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Material Type:
Article 		Add to My Research

Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

Mathematical programming, 2017, Vol.161 (1-2), p.419-449 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2016 ;Mathematical Programming is a copyright of Springer, 2017. ;ISSN: 0025-5610 ;EISSN: 1436-4646 ;DOI: 10.1007/s10107-016-1017-3 ;CODEN: MHPGA4

Full text available

Citations Cited by
18
Machine Learning: A Bayesian and Optimization Perspective
Machine Learning: A Bayesian and Optimization Perspective
Material Type:
Book 		Add to My Research

Machine Learning: A Bayesian and Optimization Perspective

ISBN: 9780128015223 ;ISBN: 0128015225 ;ISBN: 0128017228 ;ISBN: 9780128017227 ;EISBN: 0128017228 ;EISBN: 9780128017227 ;DOI: 10.1016/C2013-0-19102-7 ;OCLC: 908071759 ;LCCallNum: Q325.5 .T446 2015eb

Full text available

Citations Cited by
19
Expected improvement for expensive optimization: a review
Expected improvement for expensive optimization: a review
Material Type:
Article 		Add to My Research

Expected improvement for expensive optimization: a review

Journal of global optimization, 2020-11, Vol.78 (3), p.507-544 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;COPYRIGHT 2020 Springer ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 0925-5001 ;EISSN: 1573-2916 ;DOI: 10.1007/s10898-020-00923-x

Full text available

Citations Cited by
20
Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing
Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing
Material Type:
Article 		Add to My Research

Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing

Journal of computational physics, 2020-09, Vol.417 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0021-9991 ;EISSN: 1090-2716 ;DOI: 10.1016/j.jcp.2020.109574

Digital Resources/Online E-Resources

Citations Cited by

Results 1 - 20 of 66,227  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (56,749)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1969  (49)
  2. 1969 To 1981  (418)
  3. 1982 To 1994  (2,090)
  4. 1995 To 2008  (12,984)
  5. After 2008  (49,656)
  6. More options open sub menu

Resource Type 

  1. Articles  (59,046)
  2. Conference Proceedings  (2,550)
  3. Books  (1,786)
  4. Book Chapters  (900)
  5. Thesises (postgraduate)  (765)
  6. Datasets  (410)
  7. Reports  (410)
  8. Text Resources  (157)
  9. Images  (92)
  10. Reviews  (61)
  11. magazinearticle  (31)
  12. Web Resources  (14)
  13. Standards  (1)
  14. Videos  (1)
  15. Newspaper Articles  (1)
  16. Patents  (1)
  17. Audio  (1)
  18. More options open sub menu

Language 

  1. English  (65,640)
  2. Japanese  (3,344)
  3. French  (628)
  4. German  (180)
  5. Portuguese  (35)
  6. Russian  (31)
  7. Norwegian  (27)
  8. Spanish  (21)
  9. Italian  (8)
  10. Polish  (4)
  11. Czech  (2)
  12. Latvian  (1)
  13. Catalan  (1)
  14. Arabic  (1)
  15. Bokmål, Norwegian  (1)
  16. Turkish  (1)
  17. Esperanto  (1)
  18. Croatian  (1)
  19. Chinese  (1)
  20. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait