Michael Paluszek – författare

Learn fromstate-of-the-art examples in robotics, motors, detection filters, chemicalprocesses, aircraft, and spacecraft. This is a practical reference for industryengineers using MATLAB to solve everyday problems. With MATLAB Recipes: AProblem-Solution Approach you will review contemporary MATLAB codingincluding the latest language features and use MATLAB as a software developmentenvironment including code organization, GUI development, and algorithm designand testing.

This book providespractical guidance for using MATLAB to build a body of code you can turn totime and again for solving technical problems in your line of work. Developalgorithms, test them, visualize the results, and pass the code along to othersto create a functional code base for your firm.

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.  

What You Will Learn

Who This Book Is For 

Engineers, data scientists, and students wanting a book rich in examples using MATLAB.

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB''s deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.

Over the course of the book, you''ll learn to model complex systems and apply deep learning to problems in those areas. Applications include: