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MATLAB

Name: MATLAB
Brand: Elsevier - Health Sciences Division
SKU: 9780323917506
Price: 1584 CZK
Availability: InStock

A Practical Introduction to Programming and Problem Solving

Autor: Dorothy Attaway

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier - Health Sciences Division

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 11-15 dnů

1 584 Kč

MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook E...

Informace o knize

Autor

Dorothy Attaway

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2022

Stránek

592

EAN

9780323917506

Enbook ID

38808686

Vydavatel

Elsevier - Health Sciences Division

Hmotnost

896

Rozměry

236 x 191 x 33

Kompletní popis

MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing. Presents programming concepts and MATLAB built-in functions side by side, giving students the ability to program efficiently and exploit the power of MATLAB to solve technical problems Offers sections on common pitfalls and programming guidelines that direct students to best practice procedures Tests conceptual understanding of the material with Quick Questions! and Practice sections within each chapter Content in this edition has been updated to MATLAB version R2021a where appropriate For this edition, new sections introducing concepts relevant to machine learning have been added to the end of every chapter along with a new Introduction to Machine Learning chapter