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Matrices of Sign-Solvable Linear Systems (Hardcover, New): Richard A. Brualdi, Bryan L. Shader Matrices of Sign-Solvable Linear Systems (Hardcover, New)
Richard A. Brualdi, Bryan L. Shader
R3,155 R2,992 Discovery Miles 29 920 Save R163 (5%) Ships in 12 - 17 working days

The sign-solvability of a linear system implies that the signs of the entries of the solution are determined solely on the basis of the signs of the coefficients of the system. That it might be worthwhile and possible to investigate such linear systems was recognised by Samuelson in his classic book Foundations of Economic Analysis. Sign-solvability is part of a larger study which seeks to understand the special circumstances under which an algebraic, analytic or geometric property of a matrix can be determined from the combinatorial arrangement of the positive, negative and zero elements of the matrix. The large and diffuse body of literature connected with sign-solvability is presented as a coherent whole for the first time in this book, displaying it as a beautiful interplay between combinatorics and linear algebra. One of the features of this book is that algorithms that are implicit in many of the proofs have been explicitly described and their complexity has been commented on.

Matrices of Sign-Solvable Linear Systems (Paperback): Richard A. Brualdi, Bryan L. Shader Matrices of Sign-Solvable Linear Systems (Paperback)
Richard A. Brualdi, Bryan L. Shader
R1,141 Discovery Miles 11 410 Ships in 12 - 17 working days

The sign-solvability of a linear system implies that the signs of the entries of the solution are determined solely on the basis of the signs of the coefficients of the system. That it might be worthwhile and possible to investigate such linear systems was recognised by Samuelson in his classic book Foundations of Economic Analysis. Sign-solvability is part of a larger study which seeks to understand the special circumstances under which an algebraic, analytic or geometric property of a matrix can be determined from the combinatorial arrangement of the positive, negative and zero elements of the matrix. The large and diffuse body of literature connected with sign-solvability is presented as a coherent whole for the first time in this book, displaying it as a beautiful interplay between combinatorics and linear algebra. One of the features of this book is that algorithms that are implicit in many of the proofs have been explicitly described and their complexity has been commented on.

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