Amanote Research
Register
Sign In
A New Scaled Hybrid Modified BFGS Algorithms for Unconstrained Optimization
Applied Mathematical Sciences
doi 10.12988/ams.2013.13024
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2013
Authors
R. Jaafar
M. Mamat
I. Mohd
Publisher
Hikari, Ltd.
Related search
The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems
Abstract and Applied Analysis
Applied Mathematics
Analysis
Computational Algorithms for Unconstrained Optimization
A Scaled Conjugate Gradient Method Based on New BFGS Secant Equation With Modified Nonmonotone Line Search
American Journal of Computational Mathematics
On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
SIAM Journal on Optimization
Theoretical Computer Science
Software
A Modification of Steepest Descent Method for Solving Large-Scaled Unconstrained Optimization Problems
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
Evolutionary Pattern Search Algorithms for Unconstrained and Linearly Constrained Optimization
IEEE Transactions on Evolutionary Computation
Theoretical Computer Science
Computational Theory
Software
Mathematics
A Modified Conjugate Gradient Coefficient Under Exact Line Search for Unconstrained Optimization
International Journal of Engineering and Technology(UAE)
Architecture
Hardware
Engineering
Chemical Engineering
Biotechnology
Environmental Engineering
Computer Science
A New Accelerated Conjugate Gradient Method for Large-Scale Unconstrained Optimization
Journal of Inequalities and Applications
Combinatorics
Applied Mathematics
Analysis
Discrete Mathematics
New Adaptive Conjugate Gradient Methods Choices for Unconstrained Optimization
New Trends in Mathematical Science
