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Papers by reza Firouzdor
International Journal of Mathematical Modelling & Computations, 2017
In the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy fun... more In the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy function tildef:RrightarrowmathcalF(R)tilde{f}:Rrightarrow mathcal{F}(R)tildef:RrightarrowmathcalF(R), on a discrete point set X=x1,x2,ldots,x_nX={x_1,x_2,ldots,x_n}X=x_1,x2,ldots,xn, by a fuzzy-valued function tildeStilde{S}tildeS. RBFs are based on linear combinations of terms which include a single univariate function. Applying RBF to approximate a fuzzy function, a linear system will be obtained which by defining coefficient vector, target function will be approximated. Finally for showing the efficiency of the method we give some numerical examples.
International Journal of Mathematical Modelling & Computations, 2020
This article is an attempt to obtain the numerical solution of functional linear Voltrra two-dime... more This article is an attempt to obtain the numerical solution of functional linear Voltrra two-dimensional integral equations using Radial Basis Function (RBF) interpolation which isbased on linear composition of terms. By using RBF in functional integral equation, rst alinear system C = G will be achieved; then the coecients vector is de ned, and nally thetarget function will be approximated. In the end, the validity of the method is shown by anumber of examples.
Journal of Interpolation and Approximation in Scientific Computing, 2016
In the present paper, Radial Basis Function (RBF) interpolation is applied to approximate the num... more In the present paper, Radial Basis Function (RBF) interpolation is applied to approximate the numerical solution of both Fredlholm and Volterra functional integral equations. RBF interpolation is based on linear combinations of terms which include a single univariate function. Applying RBF in functional integral equation, a linear system ΨC = G will be obtain in which by defining coefficient vector C, target function will be approximiated. Finally, validity of the method is illustrated by some examples.
This book is a course and exercise manuscript.
Thus far, numerous studies have been done on approximation of multivariate functions, especially ... more Thus far, numerous studies have been done on approximation of multivariate functions, especially approximation of functions using B-splines. In this paper, B-spline functions were used by tensor product. By applying this approximation and replacing it in differential equation along with partial derivatives relating to heat equations, an approximate response was found for the equation, the results of which demonstrated a method improvement. Finally, a numerical example was presented to state this issue.
Journal of Computational and Applied Mathematics, 2011
This paper describes an approximating solution, based on Lagrange interpolation and spline functi... more This paper describes an approximating solution, based on Lagrange interpolation and spline functions, to treat functional integral equations of Fredholm type and Volterra type. This method can be extended to functional differential and integro-differential equations. For showing efficiency of the method we give some numerical examples.
Journal of Fuzzy Set Valued Analysis, 2016
In this paper a numerical algorithm for solving a fuzzy linear system of equations (FLS) is consi... more In this paper a numerical algorithm for solving a fuzzy linear system of equations (FLS) is considered. This system would be changed into an optimazition problem which is based on Particle Swarm obtimization (PSO) algorithm. The efficiency of algorithm is illustrated by some numerical examples.
International Journal of Mathematical Modelling & Computations, 2017
In the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy fun... more In the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy function tildef:RrightarrowmathcalF(R)tilde{f}:Rrightarrow mathcal{F}(R)tildef:RrightarrowmathcalF(R), on a discrete point set X=x1,x2,ldots,x_nX={x_1,x_2,ldots,x_n}X=x_1,x2,ldots,xn, by a fuzzy-valued function tildeStilde{S}tildeS. RBFs are based on linear combinations of terms which include a single univariate function. Applying RBF to approximate a fuzzy function, a linear system will be obtained which by defining coefficient vector, target function will be approximated. Finally for showing the efficiency of the method we give some numerical examples.
International Journal of Mathematical Modelling & Computations, 2020
This article is an attempt to obtain the numerical solution of functional linear Voltrra two-dime... more This article is an attempt to obtain the numerical solution of functional linear Voltrra two-dimensional integral equations using Radial Basis Function (RBF) interpolation which isbased on linear composition of terms. By using RBF in functional integral equation, rst alinear system C = G will be achieved; then the coecients vector is de ned, and nally thetarget function will be approximated. In the end, the validity of the method is shown by anumber of examples.
Journal of Interpolation and Approximation in Scientific Computing, 2016
In the present paper, Radial Basis Function (RBF) interpolation is applied to approximate the num... more In the present paper, Radial Basis Function (RBF) interpolation is applied to approximate the numerical solution of both Fredlholm and Volterra functional integral equations. RBF interpolation is based on linear combinations of terms which include a single univariate function. Applying RBF in functional integral equation, a linear system ΨC = G will be obtain in which by defining coefficient vector C, target function will be approximiated. Finally, validity of the method is illustrated by some examples.
This book is a course and exercise manuscript.
Thus far, numerous studies have been done on approximation of multivariate functions, especially ... more Thus far, numerous studies have been done on approximation of multivariate functions, especially approximation of functions using B-splines. In this paper, B-spline functions were used by tensor product. By applying this approximation and replacing it in differential equation along with partial derivatives relating to heat equations, an approximate response was found for the equation, the results of which demonstrated a method improvement. Finally, a numerical example was presented to state this issue.
Journal of Computational and Applied Mathematics, 2011
This paper describes an approximating solution, based on Lagrange interpolation and spline functi... more This paper describes an approximating solution, based on Lagrange interpolation and spline functions, to treat functional integral equations of Fredholm type and Volterra type. This method can be extended to functional differential and integro-differential equations. For showing efficiency of the method we give some numerical examples.
Journal of Fuzzy Set Valued Analysis, 2016
In this paper a numerical algorithm for solving a fuzzy linear system of equations (FLS) is consi... more In this paper a numerical algorithm for solving a fuzzy linear system of equations (FLS) is considered. This system would be changed into an optimazition problem which is based on Particle Swarm obtimization (PSO) algorithm. The efficiency of algorithm is illustrated by some numerical examples.