Search Results - Difference of convex functions programming problem

Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography

Authors: Jing Lei Qibin Liu

Source: IEEE Transactions on Cybernetics. 53:7535-7547

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/35604983

Initialization of the difference of convex functions optimization algorithm for nonconvex quadratic problems

Authors: Achour, Saadi Rahmoune, Abdelaziz Ouchenane, Djamel et al.

Source: Filomat, 2024 Jan 01. 38(3), 1069-1083.

Access URL: https://www.jstor.org/stable/27387029

Regularized distributionally robust optimization with application to the index tracking problem.

Authors: Zhao, Leyang Li, Guoyin Penev, Spiridon

Source: Annals of Operations Research; Jun2024, Vol. 337 Issue 1, p397-424, 28p

Subject Terms: ROBUST optimization, SEMIDEFINITE programming, LINEAR programming, CONVEX programming, NONLINEAR programming

A difference-of-convex functions approach for sparse PDE optimal control problems with nonconvex costs.

Authors: Merino, Pedro

Source: Computational Optimization & Applications; Sep2019, Vol. 74 Issue 1, p225-258, 34p

Subject Terms: CONSTRAINED optimization, COST functions, CONVEX functions, OPTIMAL control theory, MATHEMATICAL regularization, COST

A guaranteed service model with continuous review (r,Q) policy.

Authors: Bendadou, Abderrahim Rekik, Yacine Kalaï, Rim et al.

Source: Annals of Operations Research. Aug2025, Vol. 351 Issue 1, p883-901. 19p.

Subject Terms: *INVENTORY control, *NONLINEAR programming, *OPTIMIZATION algorithms, *RESOURCE allocation, *MATHEMATICAL optimization, *COMPUTER simulation

A global interior point method for nonconvex geometric programming.

Authors: do Nascimento, Roberto Quirino de Oliveira Santos, Rubia Mara Maculan, Nelson

Source: Optimization & Engineering; Jun2024, Vol. 25 Issue 2, p605-635, 31p

DC programming and DCA for parametric-margin ν-support vector machine.

Authors: Bazikar, Fatemeh Ketabchi, Saeed Moosaei, Hossein

Source: Applied Intelligence; Jun2020, Vol. 50 Issue 6, p1763-1774, 12p

Subject Terms: INTERIOR-point methods, NEWTON-Raphson method, QUADRATIC programming, CONVEX functions, SUPPORT vector machines

Global optimization method for maximizing the sum of difference of convex functions ratios over nonconvex region.

Authors: Pei, Yonggang Zhu, Detong

Source: Journal of Applied Mathematics & Computing; Mar2013, Vol. 41 Issue 1/2, p153-169, 17p

Some Farkas-type results for fractional programming problems with DC functions

Authors: Zhang, Xiang-Hui Cheng, Cao-Zong

Source: Nonlinear Analysis: Real World Applications. Jun2009, Vol. 10 Issue 3, p1679-1690. 12p.

Subject Terms: *REAL variables, *CONCAVE functions, *CONVEX functions, *DUALITY (Logic)

A sparse chance constrained portfolio selection model with multiple constraints.

Authors: Chen, Zhiping Peng, Shen Lisser, Abdel

Source: Journal of Global Optimization; Aug2020, Vol. 77 Issue 4, p825-852, 28p

Subject Terms: STOCK exchanges, RISK premiums, CONVEX functions, INTERNATIONAL markets, OBJECT tracking (Computer vision), INTEGER programming, AMBIGUITY, STOCHASTIC programming

Sparse Recovery: The Square of ℓ1/ℓ2 Norms.

Authors: Jia, Jianqing Prater-Bennette, Ashley Shen, Lixin et al.

Source: Journal of Scientific Computing; Jan2025, Vol. 102 Issue 1, p1-30, 30p

MIXED-INTEGER DC PROGRAMMING BASED ALGORITHMS FOR THE CIRCULAR PACKING PROBLEM

Authors: Satoru Masuda Takayuki Okuno Yoshiko Ikebe

Source: Journal of the Operations Research Society of Japan. 2023, 66(3):153

Models and Algorithms for Location-Routing and Related Problems

Authors: Albareda Sambola, Maria

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

Thesis Advisors: Fernández, Elena (Fernández Aréizaga), Laporte, Gilbert

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: stochastic assignment, location-routing, logistic systems, 1207. Investigació operativa

Time: 519.1

File Description: application/pdf

Access URL: http://www.tdx.cat/TDX-1019104-175236
http://hdl.handle.net/10803/6510
https://dx.doi.org/10.5821/dissertation-2117-93821

Dynamic Non-Orthogonal Multiple Access and Orthogonal Multiple Access in 5G Wireless Networks.

Authors: Baghani, Mina Parsaeefard, Saeedeh Derakhshani, Mahsa et al.

Source: IEEE Transactions on Communications; Sep2019, Vol. 67 Issue 9, p6360-6373, 14p

Subject Terms: MULTIPLE access protocols (Computer network protocols), 5G networks, BIT error rate, UTILITY functions, LINEAR programming, INTEGER programming

DC optimization for constructing discrete Sugeno integrals and learning nonadditive measures.

Authors: Beliakov, G. Gagolewski, M. James, S.

Source: Optimization; Dec2020, Vol. 69 Issue 12, p2515-2534, 20p

Subject Terms: GLOBAL optimization, INTEGRALS, CONVEX functions, DATA modeling

A CUTTING-SURFACE METHOD FOR UNCERTAIN LINEAR PROGRAMS WITH POLYHEDRAL STOCHASTIC DOMINANCE CONSTRAINTS.

Authors: HOMEM-DE-MELLO, TITO MEHROTRA, ANJAY

Source: SIAM Journal on Optimization; 2009, Vol. 20 Issue 3, p1250-1273, 24p, 3 Diagrams, 1 Chart, 1 Graph

Subject Terms: LINEAR programming, STOCHASTIC orders, UTILITY functions, CONVEX programming, ALGORITHMS

Joint learning of error-correcting output codes and dichotomizers from data.

Authors: Zhong, Guoqiang Huang, Kaizhu Liu, Cheng-Lin

Source: Neural Computing & Applications; Jun2012, Vol. 21 Issue 4, p715-724, 10p

Subject Terms: ERROR-correcting codes, DATA analysis, CODING theory, NONLINEAR programming, ALGORITHMS, QUADRATIC programming, CONVEX functions, MACHINE learning

Estimating individualized treatment rules with risk constraint.

Authors: Huang, Xinyang Xu, Jin

Source: Biometrics. Dec2020, Vol. 76 Issue 4, p1310-1318. 9p.

Subject Terms: *CONSTRAINED optimization, *CONVEX functions, *ALGORITHMS, *COST functions, *INDIVIDUALIZED medicine

On solving the sum-of-ratios problem.

Authors: Gruzdeva, Tatiana V. Strekalovsky, Alexander S.

Source: Applied Mathematics & Computation. Feb2018, Vol. 318, p260-269. 10p.

Subject Terms: *PROBLEM solving, *FRACTIONAL programming, *NONCONVEX programming, *PARAMETER estimation, *SEARCH algorithms

Optimizing the Spectrum and Power Allocation for D2D-Enabled Communication Systems Using DC Programming.

Authors: Gan, Guomei Huang, Yanhu Wang, Qiang

Source: Journal of Electrical & Computer Engineering; 7/15/2020, p1-10, 10p

Subject Terms: POWER spectra, SPECTRUM allocation, TELECOMMUNICATION systems, RADIO resource management, PARTICLE swarm optimization, BANDWIDTH allocation, INTEGER programming, RESOURCE allocation