1 citations · 2 across the 8 of their papers we have counts for
8 papers
A New Active Set Scheme for Quadratic Programing
Negin Bagherpour, Nima Minayi, AmirHossein Shanaghi
We are faced with convex quadratic programing in many contexts related to control theory, economy and robotics. In this paper, we introduce a new active set algorithm for solving s…
Some Ideas for Improving Stock Price Prediction Based on Machine Learning
Negin Bagherpour
Stock price prediction is a complicated and interesting task. Noisy trends make stock pricing sensitive and complicated while the economical motivation behind, keeps it interesting…
On Solving General and Special Structure Medium-Scale MINLP Problems
Negin Bagherpour, Mahdi Sharifzadeh
Mixed integer nonlinear programming (MINLP) problems are encountered in modeling a physical/industrial process consisting both nonlinearity and discrete selective parameters. There…
A New Learning Approach for Noise Reduction
Negin Bagherpour, Abbas Mohammadiyan
Noise is a part of data whether the data is from measurement, experiment or ... A few techniques are suggested for noise reduction to improve the data quality in recent years some…
On the Frobenius Coin Problem in Three Variables
Negin Bagherpour, Amir Jafari, Amin Najafi Amin
The three-variable Frobenius coin problem asks for the largest integer that cannot be represented as a non-negative integer combination of three positive integers wit…
Computing Symmetric Positive Definite Solutions of Three Types of Nonlinear Matrix Equations
Negin Bagherpour, Nezam Mahdavi-Amiri
Nonlinear matrix equations arise in many practical contexts related to control theory, dynamical programming and finite element methods for solving some partial differential equati…
Efficient Algorithms for Positive Semi-Definite Total Least Squares Problems, Minimum Rank Problem and Correlation Matrix Computation
Negin Bagherpour, Nezam Mahdavi-Amiri
We have recently presented a method to solve an overdetermined linear system of equations with multiple right hand side vectors, where the unknown matrix is to be symmetric and pos…
A New Error in Variables Model for Solving Positive Definite Linear System Using Orthogonal Matrix Decompositions
Negin Bagherpour, Nezam Mahdavi Amiri
The need to estimate a positive definite solution to an overdetermined linear system of equations with multiple right hand side vectors arises in several process control contexts.…