M. Reza Peyghami

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Sajad Fathi HafshejaniUniversity of LethbridgeVerificeret mail på uleth.ca
Keyvan AminiProfessor of Optimization , Razi universityVerificeret mail på razi.ac.ir
Raheleh KhanduziAssociate Professor in Applied Mathematics (OR & Optimization), Gonbad Kavous UniversityVerificeret mail på gonbad.ac.ir
Davoud Ataee TarzanaghUniversity of PennsylvaniaVerificeret mail på upenn.edu
Masoud AhookhoshAssistant Professor, Department of Mathematics, University of AntwerpVerificeret mail på uantwerp.be
Mahmoud Ahmadian AttariProfessor of Electrical Engineering, KN Toosi University of TechnologyVerificeret mail på eetd.kntu.ac.ir
zohreh akbariAssistant Professor of Mathematics, Department of Applied Mathematics, University of MazandaranVerificeret mail på umz.ac.ir
Hossein MansouriProfessor in Applied Mathematics, Faculty of Mathematical Sciences, Shahrekord UniversityVerificeret mail på sci.sku.ac.ir
Hassan TavakoliOregon State UniversityVerificeret mail på oregonstate.edu
Rohollah YousefpourAssociate Professor of Computer Science at University of MazandaranVerificeret mail på umz.ac.ir
Tamas TerlakyEndowed Chair Professor Industrial and Systems Engineering, Lehigh UniversityVerificeret mail på lehigh.edu
Zeinab SaeidianAssistant Professor of Mathematics, University of KashanVerificeret mail på kashanu.ac.ir
Farshid ArzaniPh. D. of Applied MathematicsVerificeret mail på dena.kntu.ac.ir
Mahmoud HadizadehProfessor of Math. Faculty at K.N.Toosi Univ. of Tech.Verificeret mail på kntu.ac.ir
hamid mesgaraniShahid Rajaee UniversityVerificeret mail på sru.ac.ir
Nezam Mahdavi-AmiriDistinguished Professor of Mathematical Sciences, Sharif University of TechnologyVerificeret mail på sharif.edu
Eissa NematollahiGoogleVerificeret mail på google.com
Hani AhmadzadehSharif University of TechnologyVerificeret mail på sharif.ir
Nader MotamediPh. D. of Applied MathematicsVerificeret mail på dena.kntu.ac.ir
Soheil SalariEricsson CanadaVerificeret mail på ericsson.com

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M. Reza Peyghami

Professor in Applied Mathematics (Optimization)

Verificeret mail på humber.ca

Machine Learning Convex and Non-convex Optimization Data Science


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A nonmonotone trust-region line search method for large-scale unconstrained optimization M Ahookhosh, K Amini, MR Peyghami Applied Mathematical Modelling 36 (1), 478-487, 2012	104	2012
Complexity of interior-point methods for linear optimization based on a new trigonometric kernel function MR Peyghami, SF Hafshejani, L Shirvani Journal of Computational and Applied Mathematics 255, 74-85, 2014	63	2014
Complexity analysis of an interior-point algorithm for linear optimization based on a new proximity function MR Peyghami, SF Hafshejani Numerical Algorithms 67, 33-48, 2014	45	2014
The central path visits all the vertices of the Klee–Minty cube A Deza, E Nematollahi, R Peyghami, T Terlaky Optimisation Methods and Software 21 (5), 851-865, 2006	31	2006
A new nonsmooth trust region algorithm for locally Lipschitz unconstrained optimization problems Z Akbari, R Yousefpour, M Reza Peyghami Journal of Optimization Theory and Applications 164, 733-754, 2015	24	2015
Exploring complexity of large update interior-point methods for P∗(κ) linear complementarity problem based on kernel function K Amini, MR Peyghami Applied Mathematics and Computation 207 (2), 501-513, 2009	21	2009
A primal–dual interior-point method for semidefinite optimization based on a class of trigonometric barrier functions MR Peyghami, S Fathi-Hafshejani, S Chen Operations Research Letters 44 (3), 319-323, 2016	20	2016
A new class of efficient and globally convergent conjugate gradient methods in the Dai–Liao family MR Peyghami, H Ahmadzadeh, A Fazli Optimization Methods and Software 30 (4), 843-863, 2015	20	2015
Novel MLP neural network with hybrid tabu search algorithm MR Peyghami, R Khanduzi Neural Network World 23 (3), 255, 2013	20	2013
Data envelopment analysis and interdiction median problem with fortification for enabling IoT technologies to relieve potential attacks R Khanduzi, MR Peyghami, AK Sangaiah Future Generation Computer Systems 79, 928-940, 2018	19	2018
A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems M Reza Peyghami, D Ataee Tarzanagh Computational Optimization and Applications 61, 321-341, 2015	19	2015
A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius D Ataee Tarzanagh, MR Peyghami, H Mesgarani Optimization methods and software 29 (4), 819-836, 2014	18	2014
Primal–dual interior-point method for linear optimization based on a kernel function with trigonometric growth term S Fathi-Hafshejani, H Mansouri, M Reza Peyghami, S Chen Optimization 67 (10), 1605-1630, 2018	17	2018
A kernel function based Interior-Point Methods for solving P _*(κ)-linear complementarity problem MR Peyghami, K Amini Acta Mathematica Sinica, English Series 26, 1761-1778, 2010	17	2010
An interior-point method for -linear complementarity problem based on a trigonometric kernel function SF Hafshejani, M Fatemi, MR Peyghami Journal of Applied Mathematics and Computing 48, 111-128, 2015	16	2015
An interior point approach for semidefinite optimization using new proximity functions MR Peyghami Asia-Pacific Journal of Operational Research 26 (03), 365-382, 2009	16	2009
A large-update primal–dual interior-point algorithm for second-order cone optimization based on a new proximity function S Fathi-Hafshejani, H Mansouri, MR Peyghami Optimization 65 (7), 1477-1496, 2016	14	2016
Predictability and forecasting automotive price based on a hybrid train algorithm of MLP neural network MR Peyghami, R Khanduzi Neural Computing and Applications 21, 125-132, 2012	14	2012
Optimal rate for irregular LDPC codes in binary erasure channel H Tavakoli, MA Attari, MR Peyghami 2011 IEEE Information Theory Workshop, 125-129, 2011	14	2011
An Interior-Point Algorithm for Linear Optimization Based on a New Kernel Function. K Amini, MR Peyghami Southeast Asian Bulletin of Mathematics 29 (4), 2005	14	2005

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