An Algorithm to Solve Separable Nonlinear Least Square Problem

Wajeb Gharibi; Omar Saeed Al-Mushayt

Separable Nonlinear Least Squares (SNLS) problem is a special class of Nonlinear Least Squares (NLS) problems, whose objective function is a mixture of linear and nonlinear functions. SNLS has many applications in several areas, especially in the field of Operations Research and Computer Science. Problems related to the class of NLS are hard to resolve having infinite-norm metric. This paper gives a brief explanation about SNLS problem and offers a Lagrangian based algorithm for solving mixed linear-nonlinear minimization problem.

Select Volume / Issues:

• Volume 4 Issue 4, July 2013

Year:

2013

Type of Publication:

Article

Keywords:

Nonlinear Least Squares Problem; Infinite-Norm Minimization Problem; Lagrangian Dual; Subgradient Method; Least Squares

Journal:

IJECCE

Volume:

4

Number:

4

Pages:

1297-1299

Month:

July