Unified Approach to Interior Point Algorithms for Linear Complementarity Problems

Author/creator Kojima, M. Author
Other author Megiddo, N. Author
Other author Noma, T. Author
Format Electronic
Publication InfoNew York : Springer
DescriptionVIII, 108 p. 24.200 x 017.000 cm.
Supplemental ContentFull text available from SpringerLINK Lecture Notes in Computer Science
Supplemental ContentFull text available from Springer Books

SeriesLecture Notes in Computer Science Ser.
Summary Annotation Following Karmarkar's 1984 linear programming algorithm,numerous interior-point algorithms have been proposed forvarious mathematical programming problems such as linearprogramming, convex quadratic programming and convexprogramming in general. This monograph presents a study ofinterior-point algorithms for the linear complementarityproblem (LCP) which is known as a mathematical model forprimal-dual pairs of linear programs and convex quadraticprograms. A large family of potential reduction algorithmsis presented in a unified way for the class of LCPs wherethe underlying matrix has nonnegative principal minors(P0-matrix). This class includes various importantsubclasses such as positive semi-definite matrices,P-matrices, P*-matrices introduced in this monograph, andcolumn sufficient matrices. The family contains not only theusual potential reduction algorithms but also path followingalgorithms and a damped Newton method for the LCP. The maintopics are global convergence, global linear convergence,and the polynomial-time convergence of potential reductionalgorithms included in the family.
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Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783540545095
ISBN3540545093 (Trade Paper) Active Record
Standard identifier# 9783540545095
Stock number3540545093 00024965

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