Sajad Fathi Hafshejani

Orcid: 0000-0002-5731-8234

According to our database1, Sajad Fathi Hafshejani authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Efficient Interior Point Method for Linear Optimization Using Modified Newton Method.
Proceedings of the Algorithms and Discrete Applied Mathematics, 2024

2023
A new trigonometric kernel function for support vector machine.
Iran J. Comput. Sci., June, 2023

Initialization for non-negative matrix factorization: a comprehensive review.
Int. J. Data Sci. Anal., June, 2023

A Hybrid Quantum Algorithm for Load Flow.
CoRR, 2023

Empirical Evaluation of A Quantum Accelerated Approach for The Central Path Method in Linear Programming.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022
Binary Orthogonal Non-negative Matrix Factorization.
CoRR, 2022

A new trigonometric kernel function for SVM.
CoRR, 2022

Binary Orthogonal Non-negative Matrix Factorization.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization.
CoRR, 2021

Initialization for Nonnegative Matrix Factorization: a Comprehensive Review.
CoRR, 2021

2020
An interior point method for $$P_{*}(\kappa )$$-horizontal linear complementarity problem based on a new proximity function.
J. Appl. Math. Comput., February, 2020

2018
Complexity of Interior Point Methods for a Class of Linear Complementarity Problems Using a Kernel Function with Trigonometric Growth Term.
J. Optim. Theory Appl., 2018

2016
A primal-dual interior-point method for semidefinite optimization based on a class of trigonometric barrier functions.
Oper. Res. Lett., 2016

2014
Complexity analysis of an interior-point algorithm for linear optimization based on a new proximity function.
Numer. Algorithms, 2014

Complexity of interior-point methods for linear optimization based on a new trigonometric kernel function.
J. Comput. Appl. Math., 2014


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