Buch, Englisch, 125 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 248 g
Reihe: Synthesis Lectures on Engineering, Science, and Technology
Buch, Englisch, 125 Seiten, Format (B × H): 168 mm x 240 mm, Gewicht: 248 g
Reihe: Synthesis Lectures on Engineering, Science, and Technology
ISBN: 978-3-031-27460-2
Verlag: Springer Nature Switzerland
This book is a self-guided tour of MATLAB for engineers and life scientists. It introduces the most commonly used programming techniques through biologically inspired examples. Although the text is written for undergraduates, graduate students and academics, as well as those in industry, will find value in learning MATLAB.
The book takes the emphasis off of learning syntax so that the reader can focus more on algorithmic thinking. Although it is not assumed that the reader has taken differential equations or a linear algebra class, there are short introductions to many of these concepts. Following a short history of computing, the MATLAB environment is introduced. Next, vectors and matrices are discussed, followed by matrix-vector operations. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic. The last three chapters outline how to manage the input and output of data, create professional quality graphics and find and use MATLAB toolboxes. Throughout, biomedical and life science examples are used to illustrate MATLAB's capabilities.Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Konstruktionslehre, Bauelemente, CAD
- Technische Wissenschaften Technik Allgemein Technik: Berufe & Ausbildung
Weitere Infos & Material
Introduction.- MATLAB Programming Environment.- Vectors.- Matrices.- MatrixVector Operations.- Scripts and Functions.- Loops.- Conditional Logic.- Data In/Data Out.- Graphics.- Toolboxes.