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Elementary Linear Algebra with Supplemental Applications, International Student Version de Anton, Howard ; Rorres, Chris, 9780470561577, MATEMÁTICAS, álgebra, Wiley, Inglés

Elementary Linear Algebra with Supplemental Applications, International Student Version

Anton, Howard ; Rorres, Chris

EAN9780470561577

TématicaMatemáticas

SubtématicaÁlgebra

EditorialWiley

IdiomaInglés

FormatoCartoné   Año de publicación2010   Edición10th

Páginas848

 
Elementary Linear Algebra 10th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus. Technology also is not required, but for those who would like to use MATLAB, Maple, or Mathematica, or calculators with linear algebra capabilities, exercises are included at the ends of chapters that allow for further exploration using those tools.
A concluding chapter covers twenty applications of linear algebra drawn from business, economics, physics, computer science, ecology, genetics, and other disciplines. The applications are independent and each includes a list of mathematical prerequisites.

This text is available with WileyPLUS.

This online teaching and learning environment integrates the entire digital textbook with the most effective instructor and student resources to fit every learning style. With WileyPLUS:

Students achieve concept mastery in a rich, structured environment that’s available 24/7
Instructors personalize and manage their course more effectively with assessment, assignments, grade tracking, and more.
WileyPLUS can complement the textbook or replace the printed text altogether.


CHAPTER 1 SYSTEMS OF LINEAR EQUATIONS AND MATRICES
CHAPTER 2 DETERMINANTS

CHAPTER 3 EUCLIDEAN VECTOR SPACES

CHAPTER 4 GENERAL VECTOR SPACES

CHAPTER 5 EIGNVALUES AND EIGENVECTORS

CHAPTER 6 INNER PRODUCT SPACES

CHAPTER 7 DIAGONALIZATION AND QUADRATIC FORMS

CHAPTER 8 LINEAR TRANSFORMATIONS

CHAPTER 9 NUMERICAL METHODS

CHAPTER 10 APPLICATIONS OF LINEAR ALGEBRA

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