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ORCIDM. R. Eslahchi
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Journal Articles
- 2023
[j49]Neda Namaki, M. R. Eslahchi, Rezvan Salehi
:
The use of physics-informed neural network approach to image restoration via nonlinear PDE tools. Comput. Math. Appl. 152: 355-363 (2023)- [j48]Somaieh Mohammady, M. R. Eslahchi:
Application of fractional derivatives for obtaining new Tikhonov regularization matrices. J. Appl. Math. Comput. 69(1): 1321-1342 (2023) - [j47]Sanaz Bojari, M. R. Eslahchi:
Some improved Dai-Yuan conjugate gradient methods for large-scale unconstrained optimization problems. J. Appl. Math. Comput. 69(6): 4213-4228 (2023) - 2022
- [j46]Farzaneh Nasresfahani, M. R. Eslahchi:
Numerical solution of optimal control of atherosclerosis using direct and indirect methods with shooting/collocation approach. Comput. Math. Appl. 126: 60-76 (2022) - [j45]F. Ashouri, M. R. Eslahchi:
A new PDE learning model for image denoising. Neural Comput. Appl. 34(11): 8551-8574 (2022) - [j44]M. R. Eslahchi, Sanaz Bojari:
Global convergence of a new sufficient descent spectral three-term conjugate gradient class for large-scale optimization. Optim. Methods Softw. 37(3): 830-843 (2022) - 2021
- [j43]Farzaneh Nasresfahani, Mohammad Reza Eslahchi:
Error analysis of finite difference/collocation method for the nonlinear coupled parabolic free boundary problem modeling plaque growth in the artery. Appl. Math. Comput. 405: 126221 (2021) - [j42]Hassan Khosravian-Arab, M. R. Eslahchi:
Müntz pseudo-spectral method: Theory and numerical experiments. Commun. Nonlinear Sci. Numer. Simul. 93: 105510 (2021) - 2020
- [j41]Sanaz Bojari, M. R. Eslahchi:
Global convergence of a family of modified BFGS methods under a modified weak-Wolfe-Powell line search for nonconvex functions. 4OR 18(2): 219-244 (2020) - [j40]Somaieh Mohammady, M. R. Eslahchi:
Extension of Tikhonov regularization method using linear fractional programming. J. Comput. Appl. Math. 371: 112677 (2020) - [j39]Maryam Parvizi, Amirreza Khodadadian, M. R. Eslahchi:
Analysis of Ciarlet-Raviart mixed finite element methods for solving damped Boussinesq equation. J. Comput. Appl. Math. 379: 112818 (2020) - [j38]Sanaz Bojari, M. R. Eslahchi:
Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization. Numer. Algorithms 83(3): 901-933 (2020) - 2019
- [j37]Sakine Esmaili, M. R. Eslahchi:
Numerical solution of optimal control problem for a model of tumour growth with drug application. Int. J. Control 92(11): 2712-2736 (2019) - 2018
- [j36]Sakine Esmaili, M. R. Eslahchi:
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. Comput. Math. Appl. 75(7): 2193-2216 (2018) - [j35]Hassan Khosravian-Arab, Mehdi Dehghan, M. R. Eslahchi:
A new approach to improve the order of approximation of the Bernstein operators: theory and applications. Numer. Algorithms 77(1): 111-150 (2018) - 2017
- [j34]Hassan Khosravian-Arab, Mehdi Dehghan, M. R. Eslahchi:
Fractional spectral and pseudo-spectral methods in unbounded domains: Theory and applications. J. Comput. Phys. 338: 527-566 (2017) - [j33]Sakine Esmaili, Mohammad Reza Eslahchi:
Optimal Control for a Parabolic-Hyperbolic Free Boundary Problem Modeling the Growth of Tumor with Drug Application. J. Optim. Theory Appl. 173(3): 1013-1041 (2017) - 2016
- [j32]Sakine Esmaili, M. R. Eslahchi:
A modified spectral method for solving operator equations. J. Comput. Appl. Math. 292: 105-135 (2016) - 2015
- [j31]Hassan Khosravian-Arab, Mehdi Dehghan, M. R. Eslahchi:
Fractional Sturm-Liouville boundary value problems in unbounded domains: Theory and applications. J. Comput. Phys. 299: 526-560 (2015) - [j30]M. R. Eslahchi, Mehdi Dehghan, Sanaz Amani:
Chebyshev polynomials and best approximation of some classes of functions. J. Num. Math. 23(1): 41-50 (2015) - [j29]Maryam Parvizi, M. R. Eslahchi, Mehdi Dehghan:
Numerical solution of fractional advection-diffusion equation with a nonlinear source term. Numer. Algorithms 68(3): 601-629 (2015) - 2014
- [j28]M. R. Eslahchi, Mehdi Dehghan, Maryam Parvizi:
Application of the collocation method for solving nonlinear fractional integro-differential equations. J. Comput. Appl. Math. 257: 105-128 (2014) - 2013
- [j27]Mehdi Dehghan, S. Aryanmehr, M. R. Eslahchi:
A technique for the numerical solution of initial-value problems based on a class of Birkhoff-type interpolation method. J. Comput. Appl. Math. 244: 125-139 (2013) - 2012
- [j26]M. R. Eslahchi, Mehdi Dehghan, Sanaz Amani:
The third and fourth kinds of Chebyshev polynomials and best uniform approximation. Math. Comput. Model. 55(5-6): 1746-1762 (2012) - 2011
- [j25]M. R. Eslahchi, Mehdi Dehghan:
Application of Taylor series in obtaining the orthogonal operational matrix. Comput. Math. Appl. 61(9): 2596-2604 (2011) - 2010
- [j24]Mehdi Dehghan, M. R. Eslahchi:
Best uniform polynomial approximation of some rational functions. Comput. Math. Appl. 59(1): 382-390 (2010) - 2009
- [j23]M. R. Eslahchi, Mehdi Dehghan:
Quadrature rules using an arbitrary fixed order of derivatives. Comput. Math. Appl. 57(7): 1212-1225 (2009) - 2006
- [j22]M. Masjed-Jamei, S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
The second kind Chebyshev quadrature rules of semi-open type and its numerical improvement. Appl. Math. Comput. 172(1): 210-221 (2006) - [j21]S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan, M. Masjed-Jamei:
The first kind Chebyshev-Newton-Cotes quadrature rules (semi-open type) and its numerical improvement. Appl. Math. Comput. 174(2): 1020-1032 (2006) - [j20]Esmail Babolian, Mohammad Masjed-Jamei, M. R. Eslahchi, Mehdi Dehghan:
On numerical integration methods with T-distribution weight function. Appl. Math. Comput. 174(2): 1314-1320 (2006) - [j19]Mehdi Dehghan, Mohammad Masjed-Jamei, M. R. Eslahchi:
On numerical improvement of open Newton-Cotes quadrature rules. Appl. Math. Comput. 175(1): 618-627 (2006) - [j18]S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
Minimizing the error function of Gauss-Jacobi quadrature rule with respect to parameters alpha and beta. Appl. Math. Comput. 176(1): 58-64 (2006) - [j17]S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
Determination of nodes in numerical integration rules using difference equation. Appl. Math. Comput. 176(1): 117-122 (2006) - [j16]Esmail Babolian, Mehdi Dehghan, M. R. Eslahchi:
Application of Gauss quadrature rule in finding bounds for solution of linear systems of equations. Appl. Math. Comput. 179(2): 707-713 (2006) - [j15]Mehdi Dehghan, M. Masjed-Jamei, M. R. Eslahchi:
Weighted quadrature rules with weight function x-pe-1/x on [0, infinity). Appl. Math. Comput. 180(1): 1-6 (2006) - [j14]S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
A note on equal coefficient quadrature rules. Appl. Math. Comput. 180(1): 153-159 (2006) - [j13]S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
Numerical integration using the derivatives. Appl. Math. Comput. 180(1): 194-199 (2006) - [j12]S. M. Hashemiparast, M. Masjed-Jamei, M. R. Eslahchi, Mehdi Dehghan:
The second kind Chebyshev-Newton-Cotes quadrature rule (open type) and its numerical improvement. Appl. Math. Comput. 180(2): 605-613 (2006) - [j11]M. Masjed-Jamei, M. R. Eslahchi, Mehdi Dehghan:
A statistical approach for economization of the polynomial functions. Int. J. Comput. Math. 83(5&6): 511-523 (2006) - 2005
- [j10]Esmail Babolian, Mohammad Masjed-Jamei, M. R. Eslahchi:
On numerical improvement of Gauss-Legendre quadrature rules. Appl. Math. Comput. 160(3): 779-789 (2005) - [j9]M. R. Eslahchi, M. Masjed-Jamei, Esmail Babolian:
On numerical improvement of Gauss-Lobatto quadrature rules. Appl. Math. Comput. 164(3): 707-717 (2005) - [j8]M. R. Eslahchi, Mehdi Dehghan, M. Masjed-Jamei:
On numerical improvement of the first kind Gauss-Chebyshev quadrature rules. Appl. Math. Comput. 165(1): 5-21 (2005) - [j7]Mehdi Dehghan, M. Masjed-Jamei, M. R. Eslahchi:
On numerical improvement of closed Newton-Cotes quadrature rules. Appl. Math. Comput. 165(2): 251-260 (2005) - [j6]Mohammad Masjed-Jamei, M. R. Eslahchi, Mehdi Dehghan:
On numerical improvement of Gauss-Radau quadrature rules. Appl. Math. Comput. 168(1): 51-64 (2005) - [j5]Mehdi Dehghan, M. Masjed-Jamei, M. R. Eslahchi:
On numerical improvement of the second kind of Gauss-Chebyshev quadrature rules. Appl. Math. Comput. 168(1): 431-446 (2005) - [j4]M. R. Eslahchi, Mehdi Dehghan, M. Masjed-Jamei:
The first kind Chebyshev-Newton-Cotes quadrature rules (closed type) and its numerical improvement. Appl. Math. Comput. 168(1): 479-495 (2005) - [j3]M. Masjed-Jamei, S. M. Hashemiparast, M. R. Eslahchi, Mehdi Dehghan:
The first kind Chebyshev-Lobatto quadrature rule and its numerical improvement. Appl. Math. Comput. 171(2): 1104-1118 (2005) - [j2]Mehdi Dehghan, M. Masjed-Jamei, M. R. Eslahchi:
The semi-open Newton-Cotes quadrature rule and its numerical improvement. Appl. Math. Comput. 171(2): 1129-1140 (2005) - [j1]M. R. Eslahchi, Mehdi Dehghan, M. Masjed-Jamei:
The equal coefficients quadrature rules and their numerical improvement. Appl. Math. Comput. 171(2): 1331-1351 (2005)
Informal and Other Publications
- 2022
- [i6]Farzaneh Nasresfahani, M. R. Eslahchi:
Numerical solution of optimal control of atherosclerosis using direct and indirect methods with shooting/collocation approach. CoRR abs/2203.04148 (2022) - [i5]Farzaneh Nasresfahani, M. R. Eslahchi:
Numerical convergence and stability analysis for a nonlinear mathematical model of prostate cancer. CoRR abs/2203.16453 (2022) - 2019
- [i4]Farzaneh Nasresfahani, Mohammad Reza Eslahchi:
Error analysis of finite difference/collocation method for the nonlinear coupled parabolic free boundary problem modeling plaque growth in the artery. CoRR abs/1907.04097 (2019) - [i3]Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Sturm-Liouville Problems: Theory and Numerical Experiments. CoRR abs/1908.00062 (2019) - [i2]Hassan Khosravian-Arab, Mohammad Reza Eslahchi:
Müntz Pseudo Spectral Method: Theory and Numerical Experiments. CoRR abs/1908.02306 (2019) - [i1]Sakine Esmaili, Farzaneh Nasresfahani, M. R. Eslahchi:
Solving a fractional parabolic-hyperbolic free boundary problem which models the growth of tumor with drug application using finite difference-spectral method. CoRR abs/1908.07386 (2019)
Coauthor Index
aka: M. Masjed-Jamei
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