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检索条件"主题词=Quadratic Programming Problems"
26 条 记 录,以下是1-10 订阅
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quadratic programming problems and Its Solution Techniques With Neural Network Modeling
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OPTIMAL CONTROL APPLICATIONS & METHODS 2025年 第2期46卷 766-774页
作者: Sah, Mintu Kumar Varma, Neha Kumar, Sanjay Lalit Narayan Mithila Univ Univ Dept Math Darbhanga India Amity Univ Patna Amity Sch Engn & Technol Patna India
This paper presents a study on quadratic programming problems (QPP) and introduces a new neural network model with feasibility analysis. The stability analysis of QPP using neural network modeling is also discussed. T... 详细信息
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Optimizing quadratic programming problems with intuitionistic fuzzy parameters using a neural network
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 151卷
作者: Rani, Pooja Mahajan, Sumati Punjab Engn Coll Dept Math Chandigarh 160012 India
The integration of intuitionistic fuzzy theory in optimization problems has significantly enhanced the ability to handle complex, uncertain and imprecise scenarios. Despite these advancements, existing models have not... 详细信息
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A parallel dual-type algorithm for a class of quadratic programming problems and applications
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EXPERT SYSTEMS WITH APPLICATIONS 2009年 第3期36卷 5190-5199页
作者: Lin, Shieh-Shing Lin, Ch'i-Hsin Horng, Shih-Cheng St Johns Univ Dept Elect Engn Taipei 25135 Taiwan Kao Yuan Univ Dept Elect Engn Kaohsiung Taiwan Chaoyang Univ Technol Dept Comp Sci & Informat Engn Taichung Taiwan
In this paper, we present a parallel dual-type (PDT) algorithm for solving a strictly convex quadratic programming problem with equality and box constraints. The PDT algorithm is suitable for distributed implementatio... 详细信息
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Error analysis of an algorithm for equality-constrained quadratic programming problems
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COMPUTING 1997年 第1期58卷 47-67页
作者: Galligani, E Zanni, L Dipartimento di Matematica Università di Modena Modena Italy
In this paper the numerical stability of the orthogonal factorization method [5] for linear equality-constrained quadratic programming problems is studied using a backward error analysis. A perturbation formula for th... 详细信息
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A simple and high performance neural network for quadratic programming problems
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APPLIED MATHEMATICS AND COMPUTATION 2001年 第2期124卷 251-260页
作者: Tao, Q Cao, JD Sun, DM Univ Sci & Technol China Dept Automat Hefei 230027 Peoples R China Southeast Univ Dept Appl Math Nanjing 210096 Peoples R China
In this paper, a neural network for quadratic programming problems is simplified. The simplicity is necessary for the high accuracy of solutions and low cost of implementation. The proposed network is proved to be an ... 详细信息
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A Revised Neural Network for Solving quadratic programming problems
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6th International Symposium on Neural Networks
作者: Sun, Yinjie Henan Normal Univ Xinxiang 453007 Henan Peoples R China
By selecting an appropriate transformation of the variables in quadratic programming problems with equality constraints, a lower order recurrent neural network for solving higher quadratic programming is presented. Th... 详细信息
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On the recurrent neural networks for solving general quadratic programming problems
On the recurrent neural networks for solving general quadrat...
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7th Seminar on Neural Network Applications in Electrical Engineering (NEUREL 2004)
作者: Mladenov, V Tech Univ Sofia Dept Theory Elect Engn Fac Automat Sofia 1000 Bulgaria
quadratic programming problems are widespread, class of nonlinear programming problems with many practical applications. The case of inequality constraints have been considered in a previous author's paper. In thi... 详细信息
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An improved multi-task least squares twin support vector machine
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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2025年 第1期93卷 21-41页
作者: Moosaei, Hossein Bazikar, Fatemeh Pardalos, Panos M. M. Jan Evangelista Purkyne Univ Usti Nad Labem Fac Sci Dept Informat Usti Nad Labem Czech Republic Univ Bojnord Dept Math Bojnord Iran Univ Guilan Fac Math Sci Dept Appl Math Rasht Iran Univ Florida Ctr Appl Optimizat Dept Ind & Syst Engn Gainesville FL 32611 USA
In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge across tasks in MTL can improve the performance of learning algorithms... 详细信息
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Quasi-Newton approaches to interior point methods for quadratic problems
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COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2019年 第1期74卷 93-120页
作者: Gondzio, J. Sobral, F. N. C. Univ Edinburgh Sch Math Edinburgh EH9 3FD Midlothian Scotland Univ Estadual Maringa Dept Math Ave Colombo 5790 BR-87020900 Maringa Parana Brazil
Interior point methods (IPM) rely on the Newton method for solving systems of nonlinear equations. Solving the linear systems which arise from this approach is the most computationally expensive task of an interior po... 详细信息
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On a conjugate directions method for solving strictly convex QP problem
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MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2017年 第3期86卷 523-548页
作者: Stachurski, Andrzej Warsaw Univ Technol Inst Control & Computat Engn Nowowiejska 15-19 PL-00665 Warsaw Poland
Problem of solving the strictly convex, quadratic programming problem is studied. The idea of conjugate directions is used. First we assume that we know the set of directions conjugate with respect to the hessian of t... 详细信息
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