Please use this identifier to cite or link to this item:
Title: Iterative Methods for Solving Systems of Equations
Authors: Iqbal, Javed
Keywords: Natural Sciences
Numerical analysis
Issue Date: 2012
Publisher: COMSATS Institute of Information Technology Islamabad-Pakistan
Abstract: Iterative Methods for Solving Systems of Equations It is well known that a wide class of problems, which arises in pure and applied sciences can be studied in the unified frame work of the system of absolute value equations of the type Ax − x = b, A ∈ Rn×n , b ∈ R n . Here x is the vector in R n with absolute values of components of x. In this thesis, several iterative methods including the minimization technique, residual method and homotopy perturbation method are suggested and analyzed. Convergence analysis of these new iterative methods is considered under suitable conditions. Several special cases are discussed. Numerical examples are given to illustrate the implementation and efficiency of these methods. Comparison with other methods shows that these new methods perform better. A new class of complementarity problems, known as absolute complementarity problem is introduced and investigated. Existence of a unique solution of the absolute complementarity problem is proved. A generalized AOR method is proposed. The convergence of GAOR method is studied. It is shown that the absolute complementarity problem includes system of absolute value equations and related optimizations as special cases
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

Files in This Item:
File Description SizeFormat 
1493S-0.pdfTable of Contents26.15 kBAdobe PDFView/Open
1493S.pdfComplete Thesis688.4 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.