Results 41 to 50 of about 7,346,682 (229)
Applied Mathematics in Science and Engineering, 2022 In this research, we suggested a numerical iterative scheme for investigating the numerical solution of fuzzy linear and nonlinear systems of equations, particularly where the linear or nonlinear system co-efficient is a crisp number and the right-hand ...
Mudassir Shams +4 more
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A new self scaling PCG algorithm with dynamical retards [PDF]
مجلة التربية والعلم, 2008 The problem of optimizing a certain systems as a function of time may be formulated in terms of maximizing or minimizing a non-linear cost function. It was found that a Dynamic Programming (DP) algorithm was particularly efficient procedure for solving ...
ABBAS Y. AL-BAYATI, ASEEL MOAYAD QASIM
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Advances in Electrical and Electronic Engineering, 2022 The safety and reliability of an electrical network depend on the performance of the protections utilized. Therefore, the optimal coordination of the protective devices plays an essential role.
Khaled Guerraiche +3 more
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Open Journal of Mathematical OptimizationIterative optimization algorithms depend on access to information about the objective function. In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph.
Roulet, Vincent +3 more
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International Journal of Mathematics and Mathematical Sciences, 1988 This paper suggests a method of formulating any nonlinear integer programming problem, with any number of constraints, as an equivalent single constraint problem, thus reducing the dimensionality of the associated dynamic programming problem.
Balasubramanian Ram, A. J. G. Babu
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A nonlinear approach for neutrosophic linear programming
Journal of Applied Research on Industrial Engineering, 2019 Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems.
Seyed Ahmad Edalatpanah
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The Squared Slacks Transformation in Nonlinear Programming
Sultan Qaboos University Journal for Science, 2012 In this short paper, we recall the use of squared slacks used to transform inequality constraints into equalities and several reasons why their introduction may be harmful in many algorithmic frameworks routinely used in nonlinear programming.
Paul Armand, Dominique Orban
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Communications in Advanced Mathematical Sciences, 2020 With the assistance of representative calculation programming, the present paper examines the careful voyaging wave arrangements from the general (2+1)-dimensional nonlinear development conditions by utilizing the Improved F-expansion strategy.
Md. Habibul Bashar, Mamunur Roshid
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A mixed-integer linear programming approach for robust state estimation
Journal of Modern Power Systems and Clean Energy, 2014 In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existing mixed integer nonlinear ...
Yanbo Chen, Jin Ma
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Solution of a Bi-Level Linear Programming Problem with Uncertain Parameters and its Application [PDF]
Operations Research and DecisionsIn this paper, a bi-level linear programming problem characterized by interval uncertainty in the coefficients of both objectives and constraints is thoroughly examined.
Ajay Kumar Bhurjee +2 more
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