Linear Algebra Linear Algebra
    • 28,99 €

Beschreibung des Verlags

This self-contained textbook takes a matrix-oriented approach to linear algebra and presents a complete theory, including all details and proofs, culminating in the Jordan canonical form and its proof. Throughout the development, the applicability of the results is highlighted. Additionally, the book presents special topics from applied linear algebra including matrix functions, the singular value decomposition, the Kronecker product and linear matrix equations.
The matrix-oriented approach to linear algebra leads to a better intuition and a deeper understanding of the abstract concepts, and therefore simplifies their use in real world applications. Some of these applications are presented in detailed examples. In several ‘MATLAB-Minutes’ students can comprehend the concepts and results using computational experiments. Necessary basics for the use of MATLAB are presented in a short introduction. Students can also actively work with the material and practice their mathematical skills in more than 300 exercises.

GENRE
Wissenschaft und Natur
ERSCHIENEN
2015
20. November
SPRACHE
EN
Englisch
UMFANG
335
Seiten
VERLAG
Springer International Publishing
GRÖSSE
9,6
 MB

Mehr ähnliche Bücher

Linear Algebra and Matrix Theory Linear Algebra and Matrix Theory
2013
A First Course in Linear Algebra A First Course in Linear Algebra
2012
Applied Linear Algebra and Matrix Analysis Applied Linear Algebra and Matrix Analysis
2007
All the Mathematics You Missed All the Mathematics You Missed
2001
Mathematics of Classical and Quantum Physics Mathematics of Classical and Quantum Physics
2012
Linear Algebra Linear Algebra
2012

Mehr Bücher von Jörg Liesen & Volker Mehrmann

Lineare Algebra Lineare Algebra
2011
Lineare Algebra Lineare Algebra
2015
Lineare Algebra Lineare Algebra
2021
From Past to Future: Graßmann's Work in Context From Past to Future: Graßmann's Work in Context
2010

Andere Bücher in dieser Reihe

Worlds Out of Nothing Worlds Out of Nothing
2011
Understanding Markov Chains Understanding Markov Chains
2018
Galois Theory Through Exercises Galois Theory Through Exercises
2018
Algebraic Number Theory Algebraic Number Theory
2014
Understanding Markov Chains Understanding Markov Chains
2013
Essential Topology Essential Topology
2006