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Kniha Scientific Data Analysis Richard L. Branham

Scientific Data Analysis

An Introduction to Overdetermined Systems

Autor: Richard L. Branham
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 147 Kč
This monograph is concerned with overdetermined systems, inconsistent systems with more equations th...

Informace o knize

Autor
Richard L. Branham
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2012
Stránek
237
EAN
9781461279815
ISBN
146127981X
Enbook ID
06795516
Vydavatel
Springer, Berlin
Hmotnost
387
Rozměry
155 x 235 x 13

Kompletní popis

This monograph is concerned with overdetermined systems, inconsistent systems with more equations than unknowns, in scientific data reduction. It is not a text on statistics, numerical methods, or matrix cOmputations, although elements of all three, especially the latter, enter into the discussion. The reader I have in mind is a scientist or engineer who has gathered data that he or she wants to model by a mathematical system, perhaps linear, perhaps nonlinear, and solve to obtain the best estimates, in some sense of the term "best," of various parameters. Because the calculations will be performed on a digital computer, the first chapter discusses floating-point numbers and their effect on mathematical operations. The chapter ends with some methods for accurately summing floating-point numbers, an operation frequently required in numerical work and one often done by the worst possible method, recursive summation. Chapter 2 gives a brief review of linear algebra and includes vector and matrix norms and condition numbers of matrices and linear systems. ' Chapter 3 presents some ideas for manipulating sparse matrices. Frequently, time or memory can be saved by use of sparse matrix techniques. The subject is extensive and the chapter is only indicative of the many techniques available. Although Chapter 3 is somewhat extraneous to the rest of the book, Chapter 5, on linear least squares, makes use of the compressed storage mode for the symmetric matrices discussed in Chapter 3.

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