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MATLAB Matrix Algebra (Paperback, 1st ed.) Loot Price: R1,414
Discovery Miles 14 140
MATLAB Matrix Algebra (Paperback, 1st ed.): Cesar Lopez

MATLAB Matrix Algebra (Paperback, 1st ed.)

Cesar Lopez

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Loot Price R1,414 Discovery Miles 14 140 | Repayment Terms: R133 pm x 12*

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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 Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. Computational methods for finding eigenvalues and eigenvectors of matrices are detailed, leading to various matrix decompositions. Applications such as change of bases, the classification of quadratic forms and how to solve systems of linear equations are described, with numerous examples. A section is dedicated to sparse matrices and other types of special matrices. In addition to its treatment of matrices, you will also learn how MATLAB can be used to work with arrays, lists, tables, sequences and sets.

General

Imprint: Apress
Country of origin: United States
Release date: October 2014
First published: 2014
Authors: Cesar Lopez
Dimensions: 235 x 191 x 13mm (L x W x T)
Format: Paperback
Pages: 240
Edition: 1st ed.
ISBN-13: 978-1-4842-0308-8
Categories: Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-4842-0308-9
Barcode: 9781484203088

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