A Diagnostic Treatment of Unconstrained Optimization Problems via a Modified Armijo line search technique

~ 06fb7c3d5bfc0822fd79e668f879191c.200x200

The study of optimization is getting broader with every passing day. Optimization is basically the art of getting the best results under a given set of circumstances. A very simple but important class of optimization problems is the unconstrained problems. Several techniques have been developed to handle unconstrained problems, one of which is the conjugate gradient method (CGM), which is...

Published at IOSR Journal of Mathematics

Volume 10

Issue 6

Pages 47-53

Published in 2014

Download 307.40 kB

Bamigbola O. M., Adewumi A. O., Adeleke O. J. and Agarana M. C.

Adeleke Olawale » Adeleke Olawale Joshua is currently an Assistant Lecturer in the Department of Computer and Information Science (Mathematics), School of Natural and Applied Sciences, College of Science and Technology, Covenant University, Ota. He graduated with a First Class Hons in Mathematics from LAUTECH, Ogbomoso and had his Master's degree from University of Ilorin in 2011. His research interest are:... view full profile

Other publications by this author (view profile)

Numerical Comparison of Line Search Criteria in Nonlinear Conjugate Gradient Algorithms

Application of linear programming model to unsecured loans and bad debt risk control in banks

On a Stable and Consistent Finite Difference Scheme for a Time-Dependent Schrodinger Wave Equation in a Finitely Low Potential Well

On a block integrator for the solution of first order ordinary differential equations