On numerical improvement of Gauss-Legendre quadrature rules. - Esmail Babolian; Mohammad Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2005)

The semi-open Newton-Cotes quadrature rule and its numerical improvement. - Mehdi Dehghan 002; M. Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2005)

On numerical improvement of closed Newton-Cotes quadrature rules. - Mehdi Dehghan 002; M. Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2005)

On numerical improvement of the second kind of Gauss-Chebyshev quadrature rules. - Mehdi Dehghan 002; M. Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2005)

The equal coefficients quadrature rules and their numerical improvement. - M. R. Eslahchi; Mehdi Dehghan 002; M. Masjed-Jamei (Appl. Math. Comput., 2005)

On numerical improvement of the first kind Gauss-Chebyshev quadrature rules. - M. R. Eslahchi; Mehdi Dehghan 002; M. Masjed-Jamei (Appl. Math. Comput., 2005)

The first kind Chebyshev-Newton-Cotes quadrature rules (closed type) and its numerical improvement. - M. R. Eslahchi; Mehdi Dehghan 002; M. Masjed-Jamei (Appl. Math. Comput., 2005)

On numerical improvement of Gauss-Lobatto quadrature rules. - M. R. Eslahchi; M. Masjed-Jamei; Esmail Babolian (Appl. Math. Comput., 2005)

On numerical improvement of Gauss-Radau quadrature rules. - Mohammad Masjed-Jamei; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2005)

The first kind Chebyshev-Lobatto quadrature rule and its numerical improvement. - M. Masjed-Jamei; S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2005)

Application of Gauss quadrature rule in finding bounds for solution of linear systems of equations. - Esmail Babolian; Mehdi Dehghan 002; M. R. Eslahchi (Appl. Math. Comput., 2006)

On numerical integration methods with T-distribution weight function. - Esmail Babolian; Mohammad Masjed-Jamei; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

Weighted quadrature rules with weight function x-pe-1/x on [0, infinity). - Mehdi Dehghan 002; M. Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2006)

On numerical improvement of open Newton-Cotes quadrature rules. - Mehdi Dehghan 002; Mohammad Masjed-Jamei; M. R. Eslahchi (Appl. Math. Comput., 2006)

Minimizing the error function of Gauss-Jacobi quadrature rule with respect to parameters alpha and beta. - S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

Determination of nodes in numerical integration rules using difference equation. - S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

A note on equal coefficient quadrature rules. - S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

Numerical integration using the derivatives. - S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

The first kind Chebyshev-Newton-Cotes quadrature rules (semi-open type) and its numerical improvement. - S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002; M. Masjed-Jamei (Appl. Math. Comput., 2006)

The second kind Chebyshev-Newton-Cotes quadrature rule (open type) and its numerical improvement. - S. M. Hashemiparast; M. Masjed-Jamei; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

The second kind Chebyshev quadrature rules of semi-open type and its numerical improvement. - M. Masjed-Jamei; S. M. Hashemiparast; M. R. Eslahchi; Mehdi Dehghan 002 (Appl. Math. Comput., 2006)

A statistical approach for economization of the polynomial functions. - M. Masjed-Jamei; M. R. Eslahchi; Mehdi Dehghan 002 (Int. J. Comput. Math., 2006)

Quadrature rules using an arbitrary fixed order of derivatives. - M. R. Eslahchi; Mehdi Dehghan 002 (Comput. Math. Appl., 2009)

Best uniform polynomial approximation of some rational functions. - Mehdi Dehghan 002; M. R. Eslahchi (Comput. Math. Appl., 2010)

Application of Taylor series in obtaining the orthogonal operational matrix. - M. R. Eslahchi; Mehdi Dehghan 002 (Comput. Math. Appl., 2011)

The third and fourth kinds of Chebyshev polynomials and best uniform approximation. - M. R. Eslahchi; Mehdi Dehghan 002; Sanaz Amani (Math. Comput. Model., 2012)

A technique for the numerical solution of initial-value problems based on a class of Birkhoff-type interpolation method. - Mehdi Dehghan 002; S. Aryanmehr; M. R. Eslahchi (J. Comput. Appl. Math., 2013)

Application of the collocation method for solving nonlinear fractional integro-differential equations. - M. R. Eslahchi; Mehdi Dehghan 002; Maryam Parvizi (J. Comput. Appl. Math., 2014)

Fractional Sturm-Liouville boundary value problems in unbounded domains: Theory and applications. - Hassan Khosravian-Arab; Mehdi Dehghan 002; M. R. Eslahchi (J. Comput. Phys., 2015)

Chebyshev polynomials and best approximation of some classes of functions. - M. R. Eslahchi; Mehdi Dehghan 002; Sanaz Amani (J. Num. Math., 2015)

Numerical solution of fractional advection-diffusion equation with a nonlinear source term. - Maryam Parvizi; M. R. Eslahchi; Mehdi Dehghan 002 (Numer. Algorithms, 2015)

A modified spectral method for solving operator equations. - Sakine Esmaili; M. R. Eslahchi (J. Comput. Appl. Math., 2016)

Fractional spectral and pseudo-spectral methods in unbounded domains: Theory and applications. - Hassan Khosravian-Arab; Mehdi Dehghan 002; M. R. Eslahchi (J. Comput. Phys., 2017)

Optimal Control for a Parabolic-Hyperbolic Free Boundary Problem Modeling the Growth of Tumor with Drug Application. - Sakine Esmaili; Mohammad Reza Eslahchi (J. Optim. Theory Appl., 2017)

Application of fixed point-collocation method for solving an optimal control problem of a parabolic-hyperbolic free boundary problem modeling the growth of tumor with drug application. - Sakine Esmaili; M. R. Eslahchi (Comput. Math. Appl., 2018)

A new approach to improve the order of approximation of the Bernstein operators: theory and applications. - Hassan Khosravian-Arab; Mehdi Dehghan 002; M. R. Eslahchi (Numer. Algorithms, 2018)

Müntz Sturm-Liouville Problems: Theory and Numerical Experiments. - Hassan Khosravian-Arab; Mohammad Reza Eslahchi (CoRR, 2019)

Solving a fractional parabolic-hyperbolic free boundary problem which models the growth of tumor with drug application using finite difference-spectral method. - Sakine Esmaili; Farzaneh Nasresfahani; M. R. Eslahchi (CoRR, 2019)

Numerical solution of optimal control problem for a model of tumour growth with drug application. - Sakine Esmaili; M. R. Eslahchi (Int. J. Control, 2019)

Global convergence of a family of modified BFGS methods under a modified weak-Wolfe-Powell line search for nonconvex functions. - Sanaz Bojari; M. R. Eslahchi (4OR, 2020)

Extension of Tikhonov regularization method using linear fractional programming. - Somaieh Mohammady; M. R. Eslahchi (J. Comput. Appl. Math., 2020)

Analysis of Ciarlet-Raviart mixed finite element methods for solving damped Boussinesq equation. - Maryam Parvizi; Amirreza Khodadadian; M. R. Eslahchi (J. Comput. Appl. Math., 2020)

Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization. - Sanaz Bojari; M. R. Eslahchi (Numer. Algorithms, 2020)

Error analysis of finite difference/collocation method for the nonlinear coupled parabolic free boundary problem modeling plaque growth in the artery. - Farzaneh Nasresfahani; Mohammad Reza Eslahchi (Appl. Math. Comput., 2021)

Müntz pseudo-spectral method: Theory and numerical experiments. - Hassan Khosravian-Arab; M. R. Eslahchi (Commun. Nonlinear Sci. Numer. Simul., 2021)

Numerical solution of optimal control of atherosclerosis using direct and indirect methods with shooting/collocation approach. - Farzaneh Nasresfahani; M. R. Eslahchi (Comput. Math. Appl., 2022)

Numerical convergence and stability analysis for a nonlinear mathematical model of prostate cancer. - Farzaneh Nasresfahani; M. R. Eslahchi (CoRR, 2022)

A new PDE learning model for image denoising. - F. Ashouri; M. R. Eslahchi (Neural Comput. Appl., 2022)

Global convergence of a new sufficient descent spectral three-term conjugate gradient class for large-scale optimization. - M. R. Eslahchi; Sanaz Bojari (Optim. Methods Softw., 2022)

Application of fractional derivatives for obtaining new Tikhonov regularization matrices. - Somaieh Mohammady; M. R. Eslahchi (J. Appl. Math. Comput., 2023)

The use of physics-informed neural network approach to image restoration via nonlinear PDE tools. - Neda Namaki; M. R. Eslahchi; Rezvan Salehi (Comput. Math. Appl., 2023)

Some improved Dai-Yuan conjugate gradient methods for large-scale unconstrained optimization problems. - Sanaz Bojari; M. R. Eslahchi (J. Appl. Math. Comput., 2023)

A New Prediction-Correction Primal-Dual Hybrid Gradient Algorithm for Solving Convex Minimization Problems with Linear Constraints. - Fahimeh Alipour; Mohammad Reza Eslahchi; Masoud Hajarian (J. Math. Imaging Vis., 2024)