activity
20182022
most citedA Globally Convergent Newton Method for Polynomials

3 citations · 8 across the 6 of their papers we have counts for

collaborators

9 papers

math.GM2022

On Tusi's Classification of Cubic Equations and its Connections to Cardano's Formula and Khayyam's Geometric Solution

Bahman Kalantari, Rahim Zaare-Nahandi

Omar Khayyam's studies on cubic equations inspired the 12th century Persian mathematician Sharaf al-Din Tusi to investigate the number of positive roots. According to the noted mat…

math.NA20201 cited

A Geometric Algorithm for Solving Linear Systems

Bahman Kalantari, Chun Lau, Yikai Zhang

Based on the geometric {\it Triangle Algorithm} for testing membership of a point in a convex set, we present a novel iterative algorithm for testing the solvability of a real line…

math.NA20203 cited

A Globally Convergent Newton Method for Polynomials

Bahman Kalantari

Newton's method for polynomial root finding is one of mathematics' most well-known algorithms. The method also has its shortcomings: it is undefined at critical points, it could ex…

math.NT20202 cited

Collatz polynomials: an introduction with bounds on their zeros

Matt Hohertz, Bahman Kalantari

The Collatz Conjecture (also known as the 3x+1 Problem) proposes that the following algorithm will, after a certain number of iterations, always yield the number 1: given a natural…

math.OC2019

On the Equivalence of SDP Feasibility and a Convex Hull Relaxation for System of Quadratic Equations

Bahman Kalantari

We show {\it semidefinite programming} (SDP) feasibility problem is equivalent to solving a {\it convex hull relaxation} (CHR) for a finite system of quadratic equations. On the on…

math.OC2019

A Spectral Generalization of Von Neumann Minimax Theorem

Bahman Kalantari

Given real symmetric matrices , the following {\it spectral minimax} property holds: $$\min_{X \in \mathbfΔ_n} \max_{y \in S_m} \sum_{i=1}^m y_iA_i \b…