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Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications)
 
 
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Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications) [Hardcover]

Richard A. Brualdi (Author), Herbert J. Ryser (Author)
2.5 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0521322650 978-0521322652 July 26, 1991
The book deals with the many connections between matrices, graphs, diagraphs and bipartite graphs. The basic theory of network flows is developed in order to obtain existence theorems for matrices with prescribed combinatorical properties and to obtain various matrix decomposition theorems. Other chapters cover the permanent of a matrix and Latin squares. The book ends by considering algebraic characterizations of combinatorical properties and the use of combinatorial arguments in proving classical algebraic theorems, including the Cayley-Hamilton Theorem and the Jorda Canonical Form.

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Editorial Reviews

Review

"A reader who is familiar with basic results in matrix theory will surely be captivated by this concise self-contained introduction to graph theory and combinatorial ideas and reasoning." S. K. Tharthare, Mathematical Reviews

"...a major addition to the literature of combinatorics." W. T. Tutte, Bulletin of the American Mathematical Society

Product Details

  • Hardcover: 380 pages
  • Publisher: Cambridge University Press (July 26, 1991)
  • Language: English
  • ISBN-10: 0521322650
  • ISBN-13: 978-0521322652
  • Product Dimensions: 9 x 6.1 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,139,563 in Books (See Top 100 in Books)

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2.5 out of 5 stars (2 customer reviews)
 
 
 
 
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6 of 7 people found the following review helpful:
4.0 out of 5 stars An excellent treatise on applied combinatorics., October 21, 1999
This review is from: Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications) (Hardcover)
This book is an excellent resource for mathematicians, computer scientists, and engineers. The book shows how to use zero-one matrices and stochastic matrices in your work. The text pretty shows a lot of interesting properties different matrices have and how to compute various values associated with graphs from them. The book would be very useful for people interested in Neural Networks, Speech Recognition, Artificial Intelligence. It is mathematics, though and it describes the properties of the matrices and contains many proofs about these properties. Make sure that you have mastered linear algebra and combinatorics before reading this text.
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2 of 5 people found the following review helpful:
1.0 out of 5 stars dense monograph, August 29, 2004
This review is from: Combinatorial Matrix Theory (Encyclopedia of Mathematics and its Applications) (Hardcover)
Sadly the authors have opted for a level
of abstraction that obscures many of the
beautiful details. Particularly disappointing
is the last chapter on matrix theory which veers
off into an odd mixture of marginalia which have
almost no applications.
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Inside This Book (learn more)
First Sentence:
Let A = [a,j], (i = 1,2,...,m;j = 1,2,...,n) be a matrix of m rows and n columns. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
subpermutation matrices, mutually orthogonal idempotent latin squares, oriented incidence matrix, generalized matrix function, nonnegative integral matrices, strong digraph, partial latin square, indecomposable relations, permute the lines, decomposable matrices, nonnegative integral vectors, exceptional matrices, spanning subdigraph, weak transversal, unimodular matroids, full indecomposability, general digraph, row sum vector, closed directed walk, partial transversal, indecomposable matrix, orthogonal latin squares, line permutations, column sum vector, tournament matrices
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Discrete Math, Academic Press, Cambridge University Press, Linear Alg, London Math, Let Abe, Linear Multilin, Cambridge Tracts, Prove Theorem, Linear Aig, Ars Combinatoria, Combinatorial Matrix Classes, Continuation of Exercise, Lecture Notes, Princeton University Press, Congressus Numerantium, Elsevier Science Publishers, Graph Let, Mathematisch Centrum, Recent Results, Search Comp, Selected Topics, The Hadamard, Theory of Graph Spectra
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