Cantitate/Preț
Produs

Applied Linear Algebra and Matrix Analysis: Undergraduate Texts in Mathematics

Autor Thomas S. Shores
en Limba Engleză Hardback – 6 dec 2006
This book is about matrix and linear algebra, and their applications. For many students the tools of matrix and linear algebra will be as fundamental in their professional work as the tools of calculus; thus it is important to ensure that students appreciate the utility and beauty of these subjects as well as the mechanics. To this end, applied mathematics and mathematical modeling ought to have an important role in an introductory treatment of linear algebra. In this way students see that concepts of matrix and linear algebra make concrete problems workable. In this book we weave signi?cant motivating examples into the fabric of the text. I hope that instructors will not omit this material; that would be a missed opportunity for linear algebra! The text has a strong orientation toward numerical computation and applied mathematics, which means that matrix analysis plays a central role. All three of the basic components of l- ear algebra — theory, computation, and applications — receive their due. The proper balance of these components gives students the tools they need as well as the motivation to acquire these tools. Another feature of this text is an emphasis on linear algebra as an experimental science; this emphasis is found in certain examples, computer exercises, and projects. Contemporary mathematical software make ideal “labs” for mathematical experimentation. Nonetheless, this text is independent of speci?c hardware and software pl- forms. Applications and ideas should take center stage, not software.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 40728 lei  38-44 zile
  Springer International Publishing – 12 ian 2019 40728 lei  38-44 zile
Hardback (2) 39978 lei  6-8 săpt. +3928 lei  4-10 zile
  Springer International Publishing – 18 mai 2018 42411 lei  17-23 zile +3928 lei  4-10 zile
  Springer – 6 dec 2006 39978 lei  6-8 săpt.

Din seria Undergraduate Texts in Mathematics

Preț: 39978 lei

Nou

Puncte Express: 600

Preț estimativ în valută:
7650 8079$ 6366£

Carte tipărită la comandă

Livrare economică 13-27 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780387331942
ISBN-10: 0387331948
Pagini: 383
Ilustrații: XII, 384 p. 27 illus.
Dimensiuni: 178 x 254 x 28 mm
Greutate: 0.89 kg
Ediția:2007
Editura: Springer
Colecția Springer
Seria Undergraduate Texts in Mathematics

Locul publicării:New York, NY, United States

Public țintă

Lower undergraduate

Cuprins

Linear Systems Of Equations.- Matrix Algebra.- Vector Spaces.- Geometrical Aspects Of Standard Spaces.- The Eigenvalue Problem.- Geometrical Aspects Of Abstract Spaces.

Recenzii

From the reviews:
"The book under review is a nice blend of three independent components of linear algebra: Theory, computation and applications. … The book is consisting of the author preface, six chapters, table of symbols, solutions to selected exercises, a bibliography containing 13 references and subject index. … The book is very useful for undergraduate students and nonspecialists." (Mohammad Sal Moslehian, Zentralblatt MATH, Vol. 1128 (6), 2008)
"This book is intended for a one or two semester course, with emphasis on linear algebra as an experimental science. … The text is written in a nice conversational style. Proofs are provided for most results … . The author also provides many computer exercises, projects, and report topics … . Instructors wanting to encourage precision in mathematical writing will find these assignments helpful. … This is a good text for those who want to introduce their students to applied discrete mathematics … ." (Henry Ricardo, The Mathematical Association of America, September, 2008)

Textul de pe ultima copertă

This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms.
Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises. The student will develop a solid foundation in the following topics
*Gaussian elimination and other operations with matrices
*basic properties of matrix and determinant algebra
*standard Euclidean spaces, both real and complex
*geometrical aspects of vectors, such as norm, dot product, and angle
*eigenvalues, eigenvectors, and discrete dynamical systems
*general norm and inner-product concepts for abstract vector spaces
For many students, the tools of matrix and linear algebra will be as fundamental in their professional work as the tools of calculus; thus it is important to ensure that students appreciate the utility and beauty of these subjects as well as the mechanics. By including applied mathematics and mathematical modeling, this new textbook will teach students how concepts of matrix and linear algebra make concrete problems workable.
Thomas S. Shores is Professor of Mathematics at the University of Nebraska, Lincoln, where he has received awards for his teaching. His research touches on group theory, commutative algebra, mathematical modeling, numerical analysis, and inverse theory.

Caracteristici

Emphasizes linear algebra as an experimental science Examples are interwoven throughout the text Provides a blend of applications, theory and computation, to illustrate their interdependence Includes supplementary material: sn.pub/extras

Notă biografică

Thomas S. Shores is Professor Emeritus of Mathematics at the University of Nebraska–Lincoln, where he has received awards for his teaching. His research touches on group theory, commutative algebra, mathematical modeling, numerical analysis, and inverse theory.