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New quasi-Newton methods for unconstrained optimization problems
Zengxin Wei
, Guoyin Li
, Liqun Qi
Department of Applied Mathematics
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
197
Citations (Scopus)
Overview
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Dive into the research topics of 'New quasi-Newton methods for unconstrained optimization problems'. Together they form a unique fingerprint.
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Keyphrases
Quasi-Newton Method
100%
Unconstrained Optimization
100%
Hessian
66%
Superlinear Convergence
33%
Newton's Method
33%
Minimization Problem
33%
Numerical Experiments
33%
Number of Iterations
33%
Two-choice Task
33%
Second-order Information
33%
First Derivative
33%
Hessian Matrix
33%
Unconstrained Minimization
33%
Second Derivative
33%
Low-rank
33%
New quasi-Newton Equation
33%
Approximate Hessian
33%
Global Convergence Property
33%
Quasi-Newton Equation
33%
Mathematics
Quasi-Newton Method
100%
Unconstrained Optimization Problem
100%
Matrix
66%
Newton Equation
66%
Objective Function
33%
BFGS
33%
Approximates
33%
Numerical Experiment
33%
Newton's Method
33%
Convergence Property
33%
Minimization Problem
33%
Hessian Matrix
33%