Sajad Fathi Hafshejani

25 papers Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel kernel function bridging iteration bounds in interior-point algorithms for linear programming. Kybernetika Imene Touil, Sajad Fathi Hafshejani
2025	J	`jnl`	Advancing SGD performance with a new exponential-logarithmic decay step size. Soft Comput. Mahsa Soheil Shamaee, Sajad Fathi Hafshejani, Zeinab Saeidian
2025	J	`jnl`	New logarithmic step size for stochastic gradient descent. Frontiers Comput. Sci. Mahsa Soheil Shamaee, Sajad Fathi Hafshejani, Zeinab Saeidian
2024	J	`jnl`	A Hybrid Quantum Solver for the Lorenz System. Entropy Sajad Fathi Hafshejani, Daya Ram Gaur, Arundhati Dasgupta, Robert Benkoczi, Narasimha Reddy Gosala, Alfredo Iorio
2024	J	`jnl`	A Novel Sine Step Size for Warm-Restart Stochastic Gradient Descent. Axioms Mahsa Soheil Shamaee, Sajad Fathi Hafshejani
2024	J	`jnl`	A hybrid quantum solver for the Lorenz system. CoRR Sajad Fathi Hafshejani, Daya Ram Gaur, Arundhati Dasgupta, Robert Benkoczi, Narasimha Reddy Gosala, Alfredo Iorio
2024	—	`conf`	An Efficient Interior Point Method for Linear Optimization Using Modified Newton Method. CALDAM Sajad Fathi Hafshejani, Daya Ram Gaur, Robert Benkoczi
2024	J	`jnl`	New logarithmic step size for stochastic gradient descent. CoRR Mahsa Soheil Shamaee, Sajad Fathi Hafshejani, Zeinab Saeidian
2024	J	`jnl`	On Implementing a Two-Step Interior Point Method for Solving Linear Programs. Algorithms Sajad Fathi Hafshejani, Daya Ram Gaur, Robert Benkoczi
2024	J	`jnl`	Quantum Algorithms for Optimal Power Flow. CoRR Sajad Fathi Hafshejani, Md. Mohsin Uddin, David Neufeld, Daya Ram Gaur, Robert Benkoczi
2023	J	`jnl`	A Hybrid Quantum Algorithm for Load Flow. CoRR David Neufeld, Sajad Fathi Hafshejani, Daya Ram Gaur, Robert Benkoczi
2023	J	`jnl`	A new trigonometric kernel function for support vector machine. Iran J. Comput. Sci. Sajad Fathi Hafshejani, Zahra Moaberfard
2023	—	`conf`	Empirical Evaluation of A Quantum Accelerated Approach for The Central Path Method in Linear Programming. VLDB Workshops Vijay Adoni, Sajad Fathi Hafshejani, Daya Ram Gaur
2023	J	`jnl`	Initialization for non-negative matrix factorization: a comprehensive review. Int. J. Data Sci. Anal. Sajad Fathi Hafshejani, Zahra Moaberfard
2023	J	`jnl`	Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments. CoRR Mahsa Soheil Shamaee, Sajad Fathi Hafshejani
2022	J	`jnl`	A new trigonometric kernel function for SVM. CoRR Sajad Fathi Hafshejani, Zahra Moaberfard
2022	—	`conf`	Binary Orthogonal Non-negative Matrix Factorization. ICONIP (5) Sajad Fathi Hafshejani, Daya Ram Gaur, Shahadat Hossain, Robert Benkoczi
2022	J	`jnl`	Binary Orthogonal Non-negative Matrix Factorization. CoRR Sajad Fathi Hafshejani, Daya Ram Gaur, S. Hossain, Robert Benkoczi
2021	J	`jnl`	Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization. CoRR Sajad Fathi Hafshejani, Daya Ram Gaur, Shahadat Hossain, Robert Benkoczi
2021	J	`jnl`	Initialization for Nonnegative Matrix Factorization: a Comprehensive Review. CoRR Sajad Fathi Hafshejani, Zahra Moaberfard
2020	J	`jnl`	An interior point method for $$P_{*}(\kappa )$$-horizontal linear complementarity problem based on a new proximity function. J. Appl. Math. Comput. Sajad Fathi Hafshejani, Alireza Fakharzadeh Jahromi
2018	J	`jnl`	Complexity of Interior Point Methods for a Class of Linear Complementarity Problems Using a Kernel Function with Trigonometric Growth Term. J. Optim. Theory Appl. Sajad Fathi Hafshejani, Alireza Fakharzadeh Jahromi, Mohammad Reza Peyghami, Shengyuan Chen
2016	J	`jnl`	A primal-dual interior-point method for semidefinite optimization based on a class of trigonometric barrier functions. Oper. Res. Lett. M. Reza Peyghami, Sajad Fathi Hafshejani, S. Chen
2014	J	`jnl`	Complexity analysis of an interior-point algorithm for linear optimization based on a new proximity function. Numer. Algorithms M. Reza Peyghami, Sajad Fathi Hafshejani
2014	J	`jnl`	Complexity of interior-point methods for linear optimization based on a new trigonometric kernel function. J. Comput. Appl. Math. M. Reza Peyghami, Sajad Fathi Hafshejani, L. Shirvani