K. N. Toosi
University of Technology

Wellcome to my personal homepage

I am Masoud Fatemi the Assistant Professor of Applied Mathematics and a faculty member of K. N. Toosi University of Technology.

My personal Cv is available here

Education

  • B.Sc.
    1999 - 2003

    Isfahan University, Tehran, Iran.

  • M.Sc.
    2003 - 2005

    Sharif University of Technology, Tehran, Iran.

  • PhD
    2006 - 2011

    Sharif University of Technology, Tehran, Iran.

Research Interests

  • Mathematical Modeling.

  • Continuous and Discrete Optimization.

  • Numerical Algorithms.

  • Computer Science.

K. N. Toosi
University of Technology

Courses

Go to next/previous page

K. N. Toosi
University of Technology

Publications

Go to next/previous page

  • A New Conjugate Gradient Method Based on a Modified Secant Condition With It’s Applications in Image Processing Problems Numerical Results
    Fahimeh Abdollahi, M Fatemi Submitted to ACM
  • Two effective hybrid conjugate gradient algorithms based on modified BFGS updates
    S Babaie-Kafaki, M Fatemi, N Mahdavi-Amiri Numerical Algorithms 58 (3), 315-331
  • A modified two-point stepsize gradient algorithm for unconstrained minimization
    S Babaie-Kafaki, M Fatemi Optimization Methods and Software 28 (5), 1040-1050
  • A filter trust-region algorithm for unconstrained optimization with strong global convergence properties
    M Fatemi, N Mahdavi-Amiri Computational Optimization and Applications 52 (1), 239-266
  • An interior-point method for P_*(\ kappa)-linear complementarity problem based on a trigonometric kernel function
    SF Hafshejani, M Fatemi, MR Peyghami Journal of Applied Mathematics and Computing 48 (1-2), 111-128
  • An optimal parameter for Dai–Liao family of conjugate gradient methods
    M Fatemi Journal of Optimization Theory and Applications 169 (2), 587-605
  • A non-monotone trust region algorithm for unconstrained optimization with dynamic reference iteration updates using filter
    M Fatemi, N Mahdavi-Amiri Optimization 61 (6), 733-763
  • A new efficient conjugate gradient method for unconstrained optimization
    M Fatemi Journal of Computational and Applied Mathematics 300, 207-216
  • A scaled conjugate gradient method for nonlinear unconstrained optimization
    M Fatemi Optimization Methods and Software, 1-18
  • Two extensions of the Dai-Liao method with sufficient descent property based on a penalization scheme
    M Fatemi, S Babaie-Kafaki Bull. Comput. Appl. Math 4 (1), 7-19
  • A projected gradient filter trust-region algorithm for bound constrained optimization
    M Fatemi, N Mahdavi-Amiri PACIFIC JOURNAL OF OPTIMIZATION 10 (1), 229-242
  • A new conjugate gradient method with an efficient memory structure
    M Fatemi Computational and Applied Mathematics 38 (2), 59, 2019.
  • A LIMITED MEMORY CLASS OF CONJUGATE GRADIENT METHODS M Fatemi PACIFIC JOURNAL OF OPTIMIZATION 15 (3), 457-475, 2019.

K. N. Toosi
University of Technology

Contact Me

Go to next/previous page

  • RezaeiNejad Pardis, K. N. Toosi University of Technology, Tehran, Iran. P.O.Box:15875-4416.
  • +399 (500) 321 9548
  • Smfatemi@kntu.ac.ir