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Legendre Approximation for Solving Linear HPDEs and Comparison with Taylor and Bernoulli Matrix Methods
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作者 emran tohidi 《Applied Mathematics》 2012年第5期410-416,共7页
The aim of this study is to give a Legendre polynomial approximation for the solution of the second order linear hyper-bolic partial differential equations (HPDEs) with two variables and constant coefficients. For thi... The aim of this study is to give a Legendre polynomial approximation for the solution of the second order linear hyper-bolic partial differential equations (HPDEs) with two variables and constant coefficients. For this purpose, Legendre matrix method for the approximate solution of the considered HPDEs with specified associated conditions in terms of Legendre polynomials at any point is introduced. The method is based on taking truncated Legendre series of the functions in the equation and then substituting their matrix forms into the given equation. Thereby the basic equation reduces to a matrix equation, which corresponds to a system of linear algebraic equations with unknown Legendre coefficients. The result matrix equation can be solved and the unknown Legendre coefficients can be found approximately. Moreover, the approximated solutions of the proposed method are compared with the Taylor [1] and Bernoulli [2] matrix methods. All of computations are performed on a PC using several programs written in MATLAB 7.12.0. 展开更多
关键词 LEGENDRE Operational Matrix of DIFFERENTIATION HYPERBOLIC Partial Differential Equations LEGENDRE POLYNOMIAL Solutions Double LEGENDRE Series
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Numerical Solution of a Class of Nonlinear Optimal Control Problems Using Linearization and Discretization
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作者 Mohammad Hadi Noori Skandari emran tohidi 《Applied Mathematics》 2011年第5期646-652,共7页
In this paper, a new approach using linear combination property of intervals and discretization is proposed to solve a class of nonlinear optimal control problems, containing a nonlinear system and linear functional, ... In this paper, a new approach using linear combination property of intervals and discretization is proposed to solve a class of nonlinear optimal control problems, containing a nonlinear system and linear functional, in three phases. In the first phase, using linear combination property of intervals, changes nonlinear system to an equivalent linear system, in the second phase, using discretization method, the attained problem is converted to a linear programming problem, and in the third phase, the latter problem will be solved by linear programming methods. In addition, efficiency of our approach is confirmed by some numerical examples. 展开更多
关键词 LINEAR and NONLINEAR Optimal CONTROL LINEAR Combination Property of INTERVALS LINEAR Programming DISCRETIZATION Dynamical CONTROL Systems
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