The Experts below are selected from a list of 45219 Experts worldwide ranked by ideXlab platform

Emran Khoshrouye Ghiasi - One of the best experts on this subject based on the ideXlab platform.

  • solving a non linear model of hiv infection for cd4 t cells by combining laplace transformation and homotopy analysis method
    arXiv: Other Quantitative Biology, 2018
    Co-Authors: Samad Noeiaghdam, Emran Khoshrouye Ghiasi
    Abstract:

    The aim of this paper is to find the approximate solution of HIV infection model of CD4+T cells. For this reason, the homotopy analysis transform method (HATM) is applied. The presented method is combination of traditional homotopy analysis method (HAM) and the Laplace transformation. The Convergence of presented method is discussed by preparing a theorem which shows the capabilities of method. The numerical results are shown for different values of iterations. Also, the Regions of Convergence are demonstrated by plotting several h-curves. Furthermore in order to show the efficiency and accuracy of method, the residual error for different iterations are presented.

Ghiasi, Emran Khoshrouye - One of the best experts on this subject based on the ideXlab platform.

  • Solving a non-linear model of HIV infection for CD4+T cells by combining Laplace transformation and Homotopy analysis method
    2019
    Co-Authors: Noeiaghdam Samad, Ghiasi, Emran Khoshrouye
    Abstract:

    The aim of this paper is to find the approximate solution of HIV infection model of CD4+T cells. For this reason, the homotopy analysis transform method (HATM) is applied. The presented method is combination of traditional homotopy analysis method (HAM) and the Laplace transformation. The Convergence of presented method is discussed by preparing a theorem which shows the capabilities of method. The numerical results are shown for different values of iterations. Also, the Regions of Convergence are demonstrated by plotting several h-curves. Furthermore in order to show the efficiency and accuracy of method, the residual error for different iterations are presented

Vivek Sahai - One of the best experts on this subject based on the ideXlab platform.

Noeiaghdam Samad - One of the best experts on this subject based on the ideXlab platform.

  • Solving a non-linear model of HIV infection for CD4+T cells by combining Laplace transformation and Homotopy analysis method
    2019
    Co-Authors: Noeiaghdam Samad, Ghiasi, Emran Khoshrouye
    Abstract:

    The aim of this paper is to find the approximate solution of HIV infection model of CD4+T cells. For this reason, the homotopy analysis transform method (HATM) is applied. The presented method is combination of traditional homotopy analysis method (HAM) and the Laplace transformation. The Convergence of presented method is discussed by preparing a theorem which shows the capabilities of method. The numerical results are shown for different values of iterations. Also, the Regions of Convergence are demonstrated by plotting several h-curves. Furthermore in order to show the efficiency and accuracy of method, the residual error for different iterations are presented

Samad Noeiaghdam - One of the best experts on this subject based on the ideXlab platform.

  • solving a non linear model of hiv infection for cd4 t cells by combining laplace transformation and homotopy analysis method
    arXiv: Other Quantitative Biology, 2018
    Co-Authors: Samad Noeiaghdam, Emran Khoshrouye Ghiasi
    Abstract:

    The aim of this paper is to find the approximate solution of HIV infection model of CD4+T cells. For this reason, the homotopy analysis transform method (HATM) is applied. The presented method is combination of traditional homotopy analysis method (HAM) and the Laplace transformation. The Convergence of presented method is discussed by preparing a theorem which shows the capabilities of method. The numerical results are shown for different values of iterations. Also, the Regions of Convergence are demonstrated by plotting several h-curves. Furthermore in order to show the efficiency and accuracy of method, the residual error for different iterations are presented.