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Item #:
270015621
MATLAB Matrix Algebra (Matlab Solutions)
Item #:
270015621
ETB 9945
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MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals.
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Product Details
- 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.
| Publisher | Apress |
| Publication date | November 10, 2014 |
| Edition | 1st ed. |
| Language | English |
| File size | 3.7 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 233 pages |
| ISBN-13 | 978-1484203071 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
Product Description
MATLAB Matrix Algebra (Matlab Solutions)
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Features & Benefits
- Learn MATLAB for numerical computation and programming.
- Hands-on instructions for rapid goal achievement.
- Focus on vector and matrix operations.
- Detailed exploration of eigenvalues and eigenvectors.
- Applications include solving linear equations and working with special matrices.
- Comprehensive coverage of arrays, lists, tables, sequences, and sets.
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