Search Results - "Boosted difference of convex functions algorithm"

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions

Authors: Francisco J. Aragón Artacho Phan T. Vuong Universidad de Alicante. Departamento de Matemáticas et al.

Contributors: Francisco J. Aragón Artacho Phan T. Vuong Universidad de Alicante. Departamento de Matemáticas et al.

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

Subject Terms: 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

File Description: text

Access URL: 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

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions

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

Index Terms: 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 Difference of Convex Functions Algorithm for Value-at-Risk Constrained Portfolio Optimization

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

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

Access URL: http://arxiv.org/abs/2402.09194

The Boosted DC Algorithm for Linearly Constrained DC Programming

Authors: F. J. Aragón-Artacho R. Campoy P. T. Vuong et al.

Contributors: F. J. Aragón-Artacho R. Campoy P. T. Vuong et al.

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

Subject Terms: 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

File Description: text

Access URL: 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 nonsmooth functions

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

File Description: text

Relation: https://eprints.soton.ac.uk/437574/1/The_Boosted_DC_Algorithm_for_nonsmooth_functions.pdf; Aragón Artacho, Francisco J. and Vuong, Phan T. (2020) The Boosted Difference of Convex Functions Algorithm for nonsmooth functions. SIAM Journal on Optimization, 30 (1), 980-1006. (doi:10.1137/18M123339X ).

Availability: https://eprints.soton.ac.uk/437574/
https://eprints.soton.ac.uk/437574/1/The_Boosted_DC_Algorithm_for_nonsmooth_functions.pdf

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

Authors: F. J. Aragón Artacho Phan Tu Vuong Rubén Campoy et al.

Contributors: F. J. Aragón Artacho Phan Tu Vuong Rubén Campoy et al.

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

Subject Terms: 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

File Description: text

Access URL: 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.

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

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

Subject Terms: CONVEX functions, ALGORITHMS

The Boosted DC Algorithm for Linearly Constrained DC Programming

Authors: Universidad de Alicante. Departamento de Matemáticas Aragón Artacho, Francisco Javier Campoy, Rubén et al.

Index Terms: 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

The Boosted DC Algorithm for Linearly Constrained DC Programming.

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

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

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

Authors: Tingting Wu Xiaoyu Gu Zeyu Li et al.

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

Subject Terms: IMAGE reconstruction, MATHEMATICAL analysis, NOISE, BAYESIAN analysis, DIAGNOSTIC imaging

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

Authors: Moosaei, Hossein Bazikar, Fatemeh Ketabchi, Saeed et al.

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

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

Coderivative-based semi-Newton method in nonsmooth difference programming.

Authors: Aragón-Artacho, Francisco J. Mordukhovich, Boris S. Pérez-Aros, Pedro

Source: Mathematical Programming; Sep2025, Vol. 213 Issue 1/2, p385-432, 48p

Subject Terms: NONSMOOTH optimization, MATHEMATICAL optimization, VARIATIONAL inequalities (Mathematics), CALCULUS of variations, VARIATIONAL approach (Mathematics), NONLINEAR functions, NEWTON-Raphson method, BIOCHEMICAL models

People: NEWTON, Isaac, 1642-1727

Inexact Reduced Gradient Methods in Nonconvex Optimization.

Authors: Khanh, Pham Duy Mordukhovich, Boris S. Tran, Dat Ba

Source: Journal of Optimization Theory & Applications; Dec2024, Vol. 203 Issue 3, p2138-2178, 41p

Subject Terms: DIFFERENTIABLE functions, FUNCTION spaces, APPROXIMATION error

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

Authors: He, Hongjin Zhang, Zhiyuan

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

The Boosted DC Algorithm for nonsmooth functions

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

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

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

A Proximal Alternating Direction Method of Multipliers for DC Programming with Structured Constraints.

Authors: Zhou, Yingxin He, Hongjin Zhang, Linan

Source: Journal of Scientific Computing; Jun2024, Vol. 99 Issue 3, p1-35, 35p

Non-monotone Boosted DC and Caputo Fractional Tailored Finite Point Algorithm for Rician Denoising and Deblurring.

Authors: Sun, Kexin Xu, Youcai Feng, Minfu

Source: Journal of Mathematical Imaging & Vision; Apr2024, Vol. 66 Issue 2, p167-184, 18p

Open issues and recent advances in DC programming and DCA.

Authors: Le Thi, Hoai An Pham Dinh, Tao

Source: Journal of Global Optimization; Mar2024, Vol. 88 Issue 3, p533-590, 58p

Subject Terms: APPLIED sciences, NONCONVEX programming, GLOBAL optimization, NONSMOOTH optimization, CONVEX functions, RESEARCH personnel

A bundle-type method for nonsmooth DC programs.

Authors: Kanzow, Christian Neder, Tanja

Source: Journal of Global Optimization; Feb2024, Vol. 88 Issue 2, p285-326, 42p

Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems.

Authors: Gaudioso, Manlio Taheri, Sona Bagirov, Adil M. et al.

Source: Algorithms; Aug2023, Vol. 16 Issue 8, p394, 21p

Subject Terms: CONVEX programming, CONVEX sets, MODEL airplanes, INFORMATION policy