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Ghasem Barid Loghmani - One of the best experts on this subject based on the ideXlab platform.

  • Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem II. High dimensional problems
    Applied Mathematical Modelling, 2013
    Co-Authors: Mohammad Hossein Heydari, H. Navabpour, Zakieh Avazzadeh, Ghasem Barid Loghmani
    Abstract:

    Abstract In this work, we generalize the numerical method discussed in [Z. Avazzadeh, M. Heydari, G.B. Loghmani, Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem, Appl. math. modelling, 35 (2011) 2374–2383] for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind. The presented method can be used for solving Integral equations in high dimensions. In this work, we describe the Integral Mean value method (IMVM) as the technical algorithm for solving high dimensional Integral equations. The main idea in this method is applying the Integral Mean value theorem. However the Mean value theorem is valid for multiple Integrals, we apply one dimensional Integral Mean value theorem directly to fulfill required linearly independent equations. We solve some examples to investigate the applicability and simplicity of the method. The numerical results confirm that the method is efficient and simple.

  • numerical solution of fredholm Integral equations of the second kind by using Integral Mean value theorem
    Applied Mathematical Modelling, 2011
    Co-Authors: Zakieh Avazzadeh, Mohammad Hossein Heydari, Ghasem Barid Loghmani
    Abstract:

    In this paper, we present a new semi-analytical method for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind and the systems including them. The main idea in this method is applying the Mean value theorem for Integrals. Some examples are presented to show the ability of the model. The results confirm that the method is very effective and simple.

Zakieh Avazzadeh - One of the best experts on this subject based on the ideXlab platform.

  • Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem II. High dimensional problems
    Applied Mathematical Modelling, 2013
    Co-Authors: Mohammad Hossein Heydari, H. Navabpour, Zakieh Avazzadeh, Ghasem Barid Loghmani
    Abstract:

    Abstract In this work, we generalize the numerical method discussed in [Z. Avazzadeh, M. Heydari, G.B. Loghmani, Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem, Appl. math. modelling, 35 (2011) 2374–2383] for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind. The presented method can be used for solving Integral equations in high dimensions. In this work, we describe the Integral Mean value method (IMVM) as the technical algorithm for solving high dimensional Integral equations. The main idea in this method is applying the Integral Mean value theorem. However the Mean value theorem is valid for multiple Integrals, we apply one dimensional Integral Mean value theorem directly to fulfill required linearly independent equations. We solve some examples to investigate the applicability and simplicity of the method. The numerical results confirm that the method is efficient and simple.

  • numerical solution of fredholm Integral equations of the second kind by using Integral Mean value theorem
    Applied Mathematical Modelling, 2011
    Co-Authors: Zakieh Avazzadeh, Mohammad Hossein Heydari, Ghasem Barid Loghmani
    Abstract:

    In this paper, we present a new semi-analytical method for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind and the systems including them. The main idea in this method is applying the Mean value theorem for Integrals. Some examples are presented to show the ability of the model. The results confirm that the method is very effective and simple.

Mohammad Hossein Heydari - One of the best experts on this subject based on the ideXlab platform.

  • Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem II. High dimensional problems
    Applied Mathematical Modelling, 2013
    Co-Authors: Mohammad Hossein Heydari, H. Navabpour, Zakieh Avazzadeh, Ghasem Barid Loghmani
    Abstract:

    Abstract In this work, we generalize the numerical method discussed in [Z. Avazzadeh, M. Heydari, G.B. Loghmani, Numerical solution of Fredholm Integral equations of the second kind by using Integral Mean value theorem, Appl. math. modelling, 35 (2011) 2374–2383] for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind. The presented method can be used for solving Integral equations in high dimensions. In this work, we describe the Integral Mean value method (IMVM) as the technical algorithm for solving high dimensional Integral equations. The main idea in this method is applying the Integral Mean value theorem. However the Mean value theorem is valid for multiple Integrals, we apply one dimensional Integral Mean value theorem directly to fulfill required linearly independent equations. We solve some examples to investigate the applicability and simplicity of the method. The numerical results confirm that the method is efficient and simple.

  • numerical solution of fredholm Integral equations of the second kind by using Integral Mean value theorem
    Applied Mathematical Modelling, 2011
    Co-Authors: Zakieh Avazzadeh, Mohammad Hossein Heydari, Ghasem Barid Loghmani
    Abstract:

    In this paper, we present a new semi-analytical method for solving linear and nonlinear Fredholm Integral and integro-differential equations of the second kind and the systems including them. The main idea in this method is applying the Mean value theorem for Integrals. Some examples are presented to show the ability of the model. The results confirm that the method is very effective and simple.

W. M. Shah - One of the best experts on this subject based on the ideXlab platform.

Sever S Dragomir - One of the best experts on this subject based on the ideXlab platform.