Modified Gauss Elimination Technique for Separable Nonlinear Programming Problem

author

Abstract:

This article doesn't have abstract

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Dual Face Algorithm Using Gauss-jordan Elimination for Linear Programming

The dual face algorithm uses Cholesky factorization, as would be not very suitable for sparse computations. The purpose of this paper is to present a dual face algorithm using Gauss-Jordan elimination for solving bounded-variable LP problems.

full text

An Efficient Algorithm for the Separable Nonlinear Least Squares Problem

The nonlinear least squares problem miny,z‖A(y)z + b(y)‖, where A(y) is a full-rank (N + `)× N matrix, y ∈ Rn, z ∈ RN and b(y) ∈ RN+` with ` ≥ n, can be solved by first solving a reduced problem miny‖ f (y)‖ to find the optimal value y∗ of y, and then solving the resulting linear least squares problem minz‖A(y∗)z + b(y∗)‖ to find the optimal value z∗ of z. We have previously justified the use o...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 4  issue 3

pages  163- 170

publication date 2012-08-01

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023