Výsledky vyhledávání - Boosted difference of convex functions algorithm*

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions

Autoři: Francisco J. Aragón Artacho Phan T. Vuong Universidad de Alicante. Departamento de Matemáticas a další

Přispěvatelé: Francisco J. Aragón Artacho Phan T. Vuong Universidad de Alicante. Departamento de Matemáticas a další

Zdroj: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Témata: Multidimensional scaling problem, Clustering problem, Difference of convex functions, Estadística e Investigación Operativa, Boosted difference of convex functions algorithm, 0211 other engineering and technologies, 02 engineering and technology, Kurdyka--Łojasiewicz property

Popis souboru: text

Přístupová URL adresa: https://eprints.soton.ac.uk/437574/1/The_Boosted_DC_Algorithm_for_nonsmooth_functions.pdf
http://hdl.handle.net/10045/104647
https://eprints.soton.ac.uk/437574/
https://dblp.uni-trier.de/db/journals/siamjo/siamjo30.html#ArtachoV20
https://doi.org/10.1137/18M123339X
http://rua.ua.es/dspace/handle/10045/104647
https://epubs.siam.org/doi/10.1137/18M123339X
https://rua.ua.es/dspace/bitstream/10045/104647/1/Aragon_Vuong_2020_SIAMJOptim_final.pdf
https://eprints.soton.ac.uk/437574/
https://hdl.handle.net/10045/104647

An Inexact Boosted Difference of Convex Algorithm for Nondifferentiable Functions

Autoři: Ferreira, Orizon P. Mordukhovich, Boris S. Santos, Wilkreffy M. S. a další

Témata: Optimization and Control (math.OC), FOS: Mathematics, 49J53, 90C26, 65K05, 65K10, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2412.05697

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions

Autoři: Universidad de Alicante. Departamento de Matemáticas Aragón Artacho, Francisco Javier Vuong, Phan T.

Témata: Difference of convex functions, Boosted difference of convex functions algorithm, Kurdyka--Łojasiewicz property, Clustering problem, Multidimensional scaling problem, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10045/104647
https://doi.org/10.1137/18M123339X
https://doi.org/10.1137/18M123339X
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-097960-B-C22
info:eu-repo/grantAgreement/MINECO//RYC-2013-13327
info:eu-repo/grantAgreement/MINECO//MTM2014-59179-C2-1-P

The Boosted DC Algorithm for Linearly Constrained DC Programming

Autoři: F. J. Aragón-Artacho R. Campoy P. T. Vuong a další

Přispěvatelé: F. J. Aragón-Artacho R. Campoy P. T. Vuong a další

Zdroj: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Témata: Copositivity problem, 0211 other engineering and technologies, 02 engineering and technology, Global convergence, 65K05, 65K10, 90C26, 90C20, 47N10, 01 natural sciences, Constrained DC program, Trust region subproblem, Difference of convex functions, Optimization and Control (math.OC), Boosted difference of convex functions algorithm, FOS: Mathematics, 0101 mathematics, Mathematics - Optimization and Control

Popis souboru: text

Přístupová URL adresa: http://arxiv.org/abs/1908.01138
http://hdl.handle.net/10045/130566
https://eprints.soton.ac.uk/474897/
https://hdl.handle.net/10045/130566

The Boosted Difference of Convex Functions Algorithm for Value-at-Risk Constrained Portfolio Optimization

Autoři: Thormann, Marah-Lisanne Vuong, Phan Tu Zemkoho, Alain B.

Témata: Mathematics - Optimization and Control, Quantitative Finance - Portfolio Management, Quantitative Finance - Risk Management

Přístupová URL adresa: http://arxiv.org/abs/2402.09194

Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm

Autoři: F. J. Aragón Artacho Phan Tu Vuong Rubén Campoy a další

Přispěvatelé: F. J. Aragón Artacho Phan Tu Vuong Rubén Campoy a další

Zdroj: Vietnam J Math
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, d-Stationary points, Derivative-free optimization, Machine Learning (cs.LG), Difference of convex functions, Optimization and Control (math.OC), Estadística e Investigación Operativa, Boosted difference of convex functions algorithm, FOS: Mathematics, Original Article, Mathematics - Optimization and Control, Positive spanning sets

Popis souboru: text

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10013-020-00400-8.pdf
https://pubmed.ncbi.nlm.nih.gov/32685434
http://arxiv.org/abs/1907.11471
http://hdl.handle.net/10045/107394
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357844
https://link.springer.com/article/10.1007/s10013-020-00400-8
http://rua.ua.es/dspace/handle/10045/107394
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357844
https://link.springer.com/content/pdf/10.1007/s10013-020-00400-8.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-11471
https://eprints.soton.ac.uk/438483/
https://hdl.handle.net/10045/107394

A boosted DC algorithm for non-differentiable DC components with non-monotone line search.

Autoři: Ferreira, O. P. Santos, E. M. Souza, J. C. O.

Zdroj: Computational Optimization & Applications. Jul2024, Vol. 88 Issue 3, p783-818. 36p.

Témata: *ALGORITHMS, CONVEX functions

Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm

Autoři: Hossein Moosaei Milan Hladík Saeed Ketabchi a další

Zdroj: Applied Intelligence. 52:2634-2654

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://link.springer.com/article/10.1007/s10489-021-02402-6

A New Boosted Proximal Point Algorithm for Minimizing Nonsmooth DC Functions.

Autoři: Alizadeh Tabrizian, Amir Hamzeh Bidabadi, Narges

Zdroj: Numerical Functional Analysis & Optimization. 2022, Vol. 43 Issue 12, p1459-1483. 25p.

Témata: *NONCONVEX programming, *CONVEX functions, *GLOBAL optimization

THE BOOSTED DIFFERENCE OF CONVEX FUNCTIONS ALGORITHM FOR NONSMOOTH FUNCTIONS.

Autoři: ARAGON ARTACHO, FRANCISCO J. VUONG, PHAN T.

Zdroj: SIAM Journal on Optimization; 2020, Vol. 30 Issue 1, p980-1006, 27p

Témata: CONVEX functions, SMOOTHNESS of functions, MULTIDIMENSIONAL scaling, ALGORITHMS, DATA science

Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm.

Autoři: Moosaei, Hossein Bazikar, Fatemeh Ketabchi, Saeed a další

Zdroj: Applied Intelligence; Feb2022, Vol. 52 Issue 3, p2634-2654, 21p

Témata: NEWTON-Raphson method, SUPERVISED learning, PROBLEM solving, CONVEX functions, SUPPORT vector machines, ALGORITHMS, MACHINERY

The Boosted DC Algorithm for Linearly Constrained DC Programming

Autoři: Universidad de Alicante. Departamento de Matemáticas Aragón Artacho, Francisco Javier Campoy, Rubén a další

Témata: Difference of convex functions, Boosted difference of convex functions algorithm, Global convergence, Constrained DC program, Copositivity problem, Trust region subproblem, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10045/130566
https://doi.org/10.1007/s11228-022-00656-x
https://doi.org/10.1007/s11228-022-00656-x
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-097960-B-C22

Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm

Autoři: Universidad de Alicante. Departamento de Matemáticas Aragón Artacho, Francisco Javier Campoy, Rubén a další

Témata: Difference of convex functions, Boosted difference of convex functions algorithm, Positive spanning sets, d-Stationary points, Derivative-free optimization, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10045/107394
https://doi.org/10.1007/s10013-020-00400-8
https://doi.org/10.1007/s10013-020-00400-8
info:eu-repo/grantAgreement/MINECO//RYC-2013-13327
info:eu-repo/grantAgreement/MINECO//MTM2014-59179-C2-1-P
info:eu-repo/grantAgreement/MINECO//BES-2015-073360
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-097960-B-C22

The Boosted DC Algorithm for Linearly Constrained DC Programming.

Autoři: Aragón-Artacho, F. J. Campoy, R. Vuong, P. T.

Zdroj: Set-Valued & Variational Analysis; Dec2022, Vol. 30 Issue 4, p1265-1289, 25p

The Boosted DC Algorithm for nonsmooth functions

Autoři: Artacho, Francisco J. Aragón Vuong, Phan T.

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, 65K05, 65K10, 90C26, 47N10, text

URL: http://arxiv.org/abs/1812.06070

A non-monotone proximal point method for image reconstruction using non-convex total variation models.

Autoři: Rabelo, R.A.L. Ribeiro, P.H.A. Santos, W.M.S. a další

Zdroj: Computers & Electrical Engineering. Aug2025, Vol. 126, pN.PAG-N.PAG. 1p.

Témata: *ADDITIVE white Gaussian noise, *IMAGE reconstruction, *OPTIMIZATION algorithms, *RANDOM noise theory, *CONVEX functions, *IMAGE denoising

Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise.

Autoři: Tingting Wu Xiaoyu Gu Zeyu Li a další

Zdroj: SIAM Journal on Imaging Sciences; 2022, Vol. 15 Issue 2, p424-454, 31p

Témata: IMAGE reconstruction, MATHEMATICAL analysis, NOISE, BAYESIAN analysis, DIAGNOSTIC imaging

A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging.

Autoři: He, Hongjin Zhang, Zhiyuan

Zdroj: Journal of Scientific Computing; Dec2024, Vol. 101 Issue 3, p1-42, 42p

Using positive spanning sets to achieve d-stationarity with the Boosted DC Algorithm

Autoři: Artacho, Francisco J. Aragón Campoy, Rubén Vuong, Phan T.

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1907.11471

Image denoising with a non-monotone boosted DCA for non-convex models.

Autoři: Ferreira, O.P. Rabelo, R.A.L. Ribeiro, P.H.A. a další

Zdroj: Computers & Electrical Engineering. Jul2024, Vol. 117, pN.PAG-N.PAG. 1p.

Témata: *IMAGE denoising, *IMAGE reconstruction, *CAMERA movement, *BOOSTING algorithms, *COMPUTED tomography, *GRAYSCALE model