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MATLAB recipesa problem-solution app...
~
Paluszek, Michael.
MATLAB recipesa problem-solution approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
MATLAB recipesby Michael Paluszek, Stephanie Thomas.
Reminder of title:
a problem-solution approach /
Author:
Paluszek, Michael.
other author:
Thomas, Stephanie.
Published:
Berkeley, CA :Apress :2020.
Description:
xix, 415 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Mathematics.
Online resource:
https://doi.org/10.1007/978-1-4842-6124-8
ISBN:
9781484261248$q(electronic bk.)
MATLAB recipesa problem-solution approach /
Paluszek, Michael.
MATLAB recipes
a problem-solution approach /[electronic resource] :by Michael Paluszek, Stephanie Thomas. - Second edition. - Berkeley, CA :Apress :2020. - xix, 415 p. :ill., digital ;24 cm.
Part I: Coding in MATLAB -- 1: Coding Handbook -- 2: MATLAB Style -- 3: Visualization -- 4: Interactive Graphics -- 5: Testing and Debugging -- 6: Classes -- Part II: Applications -- 7: The Double Integrator -- 8: Robotics -- 9: Electric Motors -- 10: Fault Detection -- 11: Chemical Processes -- 12: Aircraft -- 13: Spacecraft Attitude Control -- 14: Automobiles.
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 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. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. You will: Get up to date with the latest MATLAB up to and including MATLAB 2020b Code in MATLAB Write applications in MATLAB Build your own toolbox of MATLAB code to increase your efficiency and effectiveness.
ISBN: 9781484261248$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-6124-8doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
184409
Mathematics.
LC Class. No.: QA76.95 / .P35 2020
Dewey Class. No.: 510.285536
MATLAB recipesa problem-solution approach /
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Part I: Coding in MATLAB -- 1: Coding Handbook -- 2: MATLAB Style -- 3: Visualization -- 4: Interactive Graphics -- 5: Testing and Debugging -- 6: Classes -- Part II: Applications -- 7: The Double Integrator -- 8: Robotics -- 9: Electric Motors -- 10: Fault Detection -- 11: Chemical Processes -- 12: Aircraft -- 13: Spacecraft Attitude Control -- 14: Automobiles.
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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 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. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. You will: Get up to date with the latest MATLAB up to and including MATLAB 2020b Code in MATLAB Write applications in MATLAB Build your own toolbox of MATLAB code to increase your efficiency and effectiveness.
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based on 0 review(s)
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EB QA76.95 .P184 2020 2020
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https://doi.org/10.1007/978-1-4842-6124-8
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