Search Results - "difference of convex functions algorithm"

Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm

Authors: Benxin Zhang Guopu Zhu Zhibin Zhu et al.

Source: IEEE Transactions on Cybernetics. 54:2257-2270

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/37015679

A preconditioned difference of convex functions algorithm with extrapolation and line search

Authors: Zhang, Ran Sun, Hongpeng

Subject Terms: 65K10, 65F08, 49K35, 90C25, 90C26, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2505.11914

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

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

Authors: Hossein Moosaei Milan Hladík Saeed Ketabchi et al.

Source: Applied Intelligence. 52:2634-2654

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

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

Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression

Authors: Phan, Duy Nhat Le, Hoai Minh Le Thi, Hoai An

Contributors: Phan, Duy Nhat Le, Hoai Minh Le Thi, Hoai An

Source: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. :1369-1375

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, [INFO] Computer Science [cs]

Access URL: https://www.ijcai.org/proceedings/2018/0190.pdf
https://hal.univ-lorraine.fr/hal-02570336v1
https://www.ijcai.org/Proceedings/2018/190
https://hal.univ-lorraine.fr/hal-02570336
https://dblp.uni-trier.de/db/conf/ijcai/ijcai2018.html#NhatLT18
https://doi.org/10.24963/ijcai.2018/190

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

A Difference of Convex Functions Algorithm for Switched Linear Regression

Authors: Pham Dinh, Tao Le, Hoai Minh Le Thi, Hoai An et al.

Contributors: Pham Dinh, Tao Le, Hoai Minh Le Thi, Hoai An et al.

Source: IEEE Transactions on Automatic Control. 59:2277-2282

Subject Terms: 2. Zero hunger, Switched linear systems, 0209 industrial biotechnology, DC programming, Nonsmooth optimization, 02 engineering and technology, 16. Peace & justice, Switched regression, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Nonconvex optimization, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], 0202 electrical engineering, electronic engineering, information engineering, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Piecewise affine systems, System identification, DCA

Access URL: https://hal.archives-ouvertes.fr/hal-00931206/file/PhamLeLeThiLauerTAC14.pdf
https://hal.archives-ouvertes.fr/hal-00931206
https://dblp.uni-trier.de/db/journals/tac/tac59.html#DinhMTL14
https://hal.inria.fr/hal-00931206
https://hal.univ-lorraine.fr/hal-01636666
https://ieeexplore.ieee.org/document/6716973/
https://hal.archives-ouvertes.fr/hal-00931206/document

A difference of convex functions algorithm for optimal scheduling and real-time assignment of preventive maintenance jobs on parallel processors

Authors: Le Thi, Hoai An Tran Duc, Quynh Adjallah, Kondo-Hloindo et al.

Contributors: Le Thi, Hoai An Tran Duc, Quynh Adjallah, Kondo-Hloindo et al.

Source: Journal of Industrial & Management Optimization. 10:243-258

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, [INFO] Computer Science [cs]

Access URL: https://hal.univ-lorraine.fr/hal-01387300v1
https://doi.org/10.3934/jimo.2014.10.243
https://www.aimsciences.org/article/doi/10.3934/jimo.2014.10.243
https://hal.univ-lorraine.fr/hal-01387300

Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm

Authors: Mahdi Moeini Hoai An Le Thi

Source: Journal of Optimization Theory and Applications. 161:199-224

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 7. Clean energy

Access URL: https://hal.univ-lorraine.fr/hal-01636672
https://ideas.repec.org/a/spr/joptap/v161y2014i1d10.1007_s10957-012-0197-0.html
https://dblp.uni-trier.de/db/journals/jota/jota161.html#ThiM14
https://link.springer.com/article/10.1007/s10957-012-0197-0/fulltext.html
https://link.springer.com/article/10.1007%2Fs10957-012-0197-0

Fast lithographic source pupil optimization using difference of convex functions algorithm for transformed L1 penalty

Authors: Yang Liu Yaning Li Lihui Liu et al.

Source: Twelfth International Conference on Information Optics and Photonics. :20

Subject Terms: 0103 physical sciences, 01 natural sciences, 0104 chemical sciences

Access URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12057/120570I/Fast-lithographic-source-pupil-optimization-using-difference-of-convex-functions/10.1117/12.2604052.full

A Novel Approach to Automated Cell Counting Based on a Difference of Convex Functions Algorithm (DCA)

Authors: Le Thi, Hoai An Le, Minh Tam Nguyen, Thi Bich Thuy

Contributors: Le Thi, Hoai An Le, Minh Tam Nguyen, Thi Bich Thuy

Source: Lecture Notes in Computer Science ISBN: 9783642404948

Subject Terms: [INFO] Computer Science [cs]

Access URL: https://link.springer.com/content/pdf/10.1007%252F978-3-642-40495-5_34.pdf
https://link.springer.com/chapter/10.1007%2F978-3-642-40495-5_34
https://dblp.uni-trier.de/db/conf/iccci/iccci2013.html#AnTT13
https://rd.springer.com/chapter/10.1007/978-3-642-40495-5_34
https://hal.univ-lorraine.fr/hal-03213406v1
https://doi.org/10.1007/978-3-642-40495-5_34

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

On solving difference of convex functions programs with linear complementarity constraints

Authors: Le Thi, Hoai An Nguyen, Thi Minh Tam Dinh, Tao Pham et al.

Contributors: Le Thi, Hoai An Nguyen, Thi Minh Tam Dinh, Tao Pham et al.

Source: Computational Optimization and Applications. 86:163-197

Subject Terms: Difference of convex functions constraints, Difference of convex functions algorithm, 90C30, [INFO]Computer Science [cs], Difference of convex functions programming, Mathematical program with linear complementarity constraints, [MATH] Mathematics [math], 90C33, [MATH]Mathematics [math], [INFO] Computer Science [cs], Penalty function, 90C90 (Mathematics Subject Classification), 90C26

Access URL: https://hal.univ-lorraine.fr/hal-04151433v1
https://doi.org/10.1007/s10589-023-00487-y

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework

Authors: Jinan Li Benying Tan Yang Qin et al.

Source: Sensors, Vol 25, Iss 18, p 5696 (2025)

Subject Terms: device-free localization, sparse representation, transform learning, Springback penalty, difference of convex functions algorithm, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/18/5696; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/2e8a261ace88404fa63033b29d6a4ee2

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

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

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 new device-free localization method for RSS data with considering correlations.

Authors: Xia, Ziwei Tan, Benying Zhao, Haoli et al.

Source: Computer Communications. Nov2023, Vol. 211, p302-310. 9p.

Subject Terms: CONVEX functions, REGULARIZATION parameter, GENERALIZATION

A unified equivalent model of the [formula omitted] minimization model for structural damage identification.

Authors: Song, Xueli Ma, Xiao Li, Rongpeng et al.

Source: Mechanical Systems & Signal Processing. Jan2026, Vol. 242, pN.PAG-N.PAG. 1p.