MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
MATLAB Linear Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work in linear algebra with ease. In addition to exploring MATLAB's matrix algebra capabilities, it describes the MATLAB commands that are used to create two- and three-dimensional graphics, including explicit, implicit and parametric curve and surface plotting, and various methods of data representation. Methods for solving systems of equations are detailed.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Zielgruppe
Für Beruf und Forschung
Popular/general
Illustrationen
126
126 s/w Abbildungen
VIII, 272 p. 126 illus.
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-4842-0323-1 (9781484203231)
DOI
10.1007/978-1-4842-0322-4
Schweitzer Klassifikation
César Perez Lopez is a Professor at the Department of Statistics and Operations Research at the University of Madrid. César Perez Lopez is also a Mathematician and Economist at the National Statistics Institute (INE) in Madrid, a body which belongs to the Superior Systems and Information Technology Department of the Spanish Government. César also currently works at the Institute for Fiscal Studies in Madrid.
1. Introducing MATLAB for Linear Algebra 2. MATLAB Variables, Operators and Functions 3. Curves in Explicit, Parametric and Polar Coordinates 4. Algebraic Expressions, Polynomials, Equations and Systems 5. Matrices, Vector Spaces, and Linear Applications