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- MATLAB Recipes: A Problem-Solution Approach
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товар №:
46960189
MATLAB Recipes: A Problem-Solution Approach
товар №:
46960189
AZN 102
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MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snippets and guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your work.
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What Stands Out
Practical Solutions
Offers concise recipes for tackling specific MATLAB challenges, allowing users to quickly find solutions without sifting through extensive documentation.
User-Friendly Format
Structured in a problem-solution format, making it accessible for both beginners and experienced users seeking quick references in their coding tasks.
Updated Content
Second edition contains the latest MATLAB functionalities and insights, ensuring users have access to current practices and tools for enhanced programming effectiveness.
Информация о продукте
- Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Editionprovides practical, hands-on code snippets and guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. What You Will Learn Get up to date with the latest MATLAB up to and including MATLAB 2020bCode in MATLABWrite applications in MATLABBuild your own toolbox of MATLAB code to increase your efficiency and effectivenessWho This Book Is For Engineers, data scientists, and students wanting a book rich in examples using MATLAB.
| Publisher | Apress |
| Publication date | February 3, 2021 |
| Edition | Second |
| Language | English |
| Print length | 434 pages |
| ISBN-10 | 1484261232 |
| ISBN-13 | 978-1484261231 |
| Item Weight | 1.82 pounds (830 grams) |
| Dimensions | 7.01 x 0.99 x 10 inches (17.8 x 2.5 x 25.4 cm) |
Who Should Buy?
-
Students Learning MATLAB
Ideal for students taking computational courses who need clear examples and practical applications to understand MATLAB programming.
-
Professional Engineers
Beneficial for engineers looking for quick solutions and concise recipes to solve common problems using MATLAB.
-
Self-Learners
Great for individuals teaching themselves MATLAB, offering straightforward problem-solving techniques to build confidence and skills.
-
Advanced MATLAB Users
Not suitable for experienced users seeking in-depth theory or complex programming techniques beyond problem-solving recipes.
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Плюсы
- Clear problem-solution format
- Useful for beginners and experts
- Wide range of topics covered
- Hands-on examples throughout
- Easy to follow and understand
Минусы
- Some topics may require prior knowledge.
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AZN 102
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Особенности и преимущества
- Learn from cutting-edge examples in various fields such as robotics and aerospace.
- Get updated with the latest MATLAB features including interactive documents and new data types.
- Practical hands-on code snippets to enhance your MATLAB coding skills.
- Build your own toolbox of MATLAB code to improve efficiency.
- Ideal for engineers, data scientists, and students seeking practical applications.
- Focus on algorithm development, testing, and visualization of results.
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