An Initial Guess of Newton's Method for the Matrix Square Root Based on a Sphere Constrained Optimization Problem

JSIAM Letters
doi 10.14495/jsiaml.8.17
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Japan Society for Industrial and Applied Mathematics

Related search

Newton's Method for Multiobjective Optimization

SIAM Journal on Optimization
Theoretical Computer ScienceSoftware
2009English

A Smoothing Penalty Function Method for the Constrained Optimization Problem

Open Journal of Optimization
2019English

Comments on “A Square-Root-Free Matrix Decomposition Method for Energy-Efficient Least Square Computation on Embedded Systems”

IEEE Embedded Systems Letters
ControlSystems EngineeringComputer Science
2016English

A Method of Initial Population Generation of Intelligent Optimization Algorithms for Constrained Global Optimization

International Journal of Hybrid Information Technology
Computer Science
2017English

An Objective Penalty Function-Based Method for Inequality Constrained Minimization Problem

Mathematical Problems in Engineering
MathematicsEngineering
2018English

Solutions of a Constrained Hermitian Matrix-Valued Function Optimization Problem With Applications

Operators and Matrices
Number TheoryAnalysisAlgebra
2016English

Functions Preserving Matrix Groups and Iterations for the Matrix Square Root

SIAM Journal on Matrix Analysis and Applications
Analysis
2005English

Numerical Study of a Matrix-Free Trust-Region SQP Method for Equality Constrained Optimization.

2011English

A Level Set Based Shape Optimization Method for an Elliptic Obstacle Problem

Mathematical Models and Methods in Applied Sciences
ModelingApplied MathematicsSimulation
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy