Results 1 to 10 of about 452,561 (173)
Nauka ta progres transportu, 2009 In the article the question of numeral realization of methods of the mathematical programming is examined in the tasks of the optimum planning of mechanical constructions.
S. A. Kostrytsia, B. M. Tovt
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International Journal of Educational Review, Law And Social Sciences (IJERLAS), 2021 This study aims to describe the role of MATHLAB software in numerical method lectures, improve students' ability to solve numerical problems through learning assisted by MATHLAB software, improve students' abilities in formulating algorithms through learning assisted by MATHLAB software, improve students' abilities in programming through assisted ...
Indra Maryanti
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Nonlinear Analysis: Theory, Methods & Applications, 1997 The numerical solution of weakly-singular nonlinear Volterra integral equations is considered. It is proposed to use polynomial or multiquadric approximations to the solution, and to determine the coefficients in such a way that the maximum of the residual becomes minimal.
Galperin, E. A. +3 more
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SDPNAL$$+$$+: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints [PDF]
Mathematical Programming Computation, 2014 In this paper, we present a majorized semismooth Newton-CG augmented Lagrangian method, called SDPNAL$$+$$+, for semidefinite programming (SDP) with partial or full nonnegative constraints on the matrix variable.
Liuqin Yang, Defeng Sun, K. Toh
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European Psychiatry, 2014 Introduction A body of research shows the significant role of visual-spatial skills in the development of mathematical abilities. Objectives and aims Current research aimed at studying the effect of training for the visuo-spatial and numerical skills enrichment in 5 and 7-year-old children.
AGUS, MIRIAN +5 more
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, 2017 In this thesis, we studied the regularization methods for the numerical resolution of problems with equilibria. In the first part, we focused on the complementarity problems through two applications that are the absolute value equation and the sparse optimization problem. In the second part, we concentrated on optimization problems with complementarity
Tangi Migot
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IEEJ Transactions on Electronics, Information and Systems, 1989 Toshiaki Yokoi +2 more
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ChatGPT for Programming Numerical Methods [PDF]
Journal of Machine Learning for Modeling and Computing, 2023 ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numerical algorithms.
A. Kashefi, T. Mukerji
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Rank-Based Solution Methods and their Applications in Determination of Non-Dominated Points Set For A Multi-Objective Integer Programming Model [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 For any single-objective mathematical programming model, rank-based optimal solutions are computationally difficult to find compared to an optimal solution to the same single-objective mathematical programming model.
Ali Al-Hasani +3 more
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Mathematical Programming Computational for Solving NP-Hardness Problem
Journal of Physics: Conference Series, 2021 In this paper we will introduce a new approach for solving K-cluster problem which is one of the NP-hardness problem, in combinatorial optimization problems.
A. Alridha, Ahmed Sabah. Al-Jilawi
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