ABS Methods and ABSPACK for Linear Systems and Optimization, a Review

Details ABS Methods and ABSPACK for Linear Systems and Optimization, a Review ABS Methods and ABSPACK for Linear Systems and Optimization, a Review

2002-09-12

arxiv.org/abs/astro-ph/0209241v1

Astronomy and Astrophysics

Astrophysics

18 pages; accepted for publication by 4OR

Scientific paper

ABS methods are a large class of methods, based upon the Egervary rank reducing algebraic process, first introduced in 1984 by Abaffy, Broyden and Spedicato for solving linear algebraic systems, and later extended to nonlinear algebraic equations, to optimization problems and other fields; software based upon ABS methods is now under development. Current ABS literature consists of about 400 papers. ABS methods provide a unification of several classes of classical algorithms and more efficient new solvers for a number of problems. In this paper we review ABS methods for linear systems and optimization, from both the point of view of theory and the numerical performance of ABSPACK.

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