MATLAB Matrix Algebra, (Paperback)
HKD 532
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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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產品詳情
- 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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2014 |
| Pages | 240 |
| Subgenre | Mathematical & Statistical Software |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | College |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.50 x 0.51 x 9.25 in (19.1 x 1.3 x 23.5 cm) |
| Assembled product weight | 0.92 lb (420 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Mathematics Students
Ideal for students studying mathematics, providing essential matrix algebra concepts using MATLAB for practical understanding.
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Engineers and Scientists
Useful for professionals requiring matrix computations in engineering and scientific research, enhancing problem-solving skills with MATLAB.
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Self-learners
Great for individuals learning independently, offering clear explanations and examples for mastering matrix algebra through MATLAB.
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Beginner Programmers
Not suitable for those with no programming experience as it assumes familiarity with programming concepts and MATLAB syntax.
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Cesar Lopez All Books Editorial Review
MATLAB Matrix Algebra, (Paperback) offers a comprehensive exploration of mathematical and statistical software relevant for computing and internet studies, featuring 240 pages of insightful content aimed at college-level education. Published by Apress in October 2014, this non-fiction book provides an essential resource for those interested in mastering MATLAB for practical applications in mathematics. Readers can expect to deepen their understanding of matrix algebra, a fundamental topic in both theoretical and applied computing. Perfectly bound and compact, its size makes it a convenient reference for students and professionals alike.
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優點
- Informative content for computing enthusiasts
- Ideal for college-level mathematics
- Covers essential matrix algebra concepts
- Compact and easily transportable size
- Published by a reputable publisher
缺點
- Limited to non-fiction, no fiction elements
Product Price History
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HKD 532
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特色和優勢
- Learn MATLAB with practical, hands-on instructions.
- Explore numerical computation, visualization, and programming.
- Focus on vector and matrix variables for data analysis.
- Understand eigenvalues, eigenvectors, and matrix decompositions.
- Apply concepts to solve systems of linear equations.
- Utilize specialized matrices and advanced techniques effectively.
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