Die besten 14 Bücher zu MATLAB

Adobe Animate CC Classroom in a Book by Russell Chun is a comprehensive guide to creating interactive animations and multimedia content using Adobe Animate CC. With step-by-step instructions and hands-on projects, this book teaches you how to design and publish animations for the web, mobile devices, and more. Whether you're a beginner or an experienced animator, you'll find valuable tips and techniques to enhance your skills in Adobe Animate CC.

Computational Fourier Optics by David G. Voelz provides a comprehensive introduction to the principles and applications of Fourier optics. It covers topics such as diffraction, Fourier transforms, optical imaging systems, and digital holography, and explores how computational methods can be used to analyze and design optical systems. With clear explanations and practical examples, this book is a valuable resource for students and researchers in the field of optics and photonics.

Digital Dice by Paul J. Nahin explores the fascinating world of probability and randomness through the lens of computer simulation. Using examples ranging from gambling to nuclear weapons testing, the book delves into the power of Monte Carlo methods in solving complex problems. It offers an engaging and accessible read for anyone interested in the intersection of mathematics and technology.

Engineering Computation with MATLAB by David M. Smith provides a comprehensive introduction to using MATLAB for engineering problem-solving. It covers a wide range of topics including numerical methods, plotting and data visualization, and symbolic math. The book also includes numerous examples and exercises to help readers apply MATLAB to real-world engineering problems.

Essentials of MATLAB Programming by Stephen J. Chapman provides a comprehensive introduction to MATLAB programming. It covers essential concepts such as data types, control structures, functions, and file input/output. The book also delves into more advanced topics like object-oriented programming and graphical user interfaces. With clear explanations and practical examples, it is a valuable resource for both beginners and experienced MATLAB users.

Fundamental Finite Element Analysis and Applications by M. Asghar Bhatti provides a comprehensive introduction to the theory and practical applications of finite element analysis (FEA). It covers the fundamental concepts, mathematical formulations, and implementation techniques of FEA, and also includes real-world examples and case studies to demonstrate its use in engineering and scientific problems. This book is a valuable resource for students, researchers, and professionals in the field of numerical analysis and computational engineering.

Introduction to Numerical and Analytical Methods with MATLAB by William Bober provides a comprehensive introduction to the fundamental numerical and analytical techniques used in engineering and science. The book covers topics such as root finding, interpolation, numerical integration, differential equations, and more, all using MATLAB as the programming tool. It is a valuable resource for students and professionals looking to develop their computational skills.

MATLAB for Control Engineers by Katsuhiko Ogata provides a comprehensive introduction to using MATLAB for analyzing and designing control systems. With clear explanations and practical examples, the book guides control engineers through the process of applying MATLAB to solve control engineering problems. It covers topics such as system modeling, feedback control, frequency response analysis, and state-space techniques, making it an essential resource for anyone working in the field of control engineering.

Modern Control Design by Ashish Tewari provides a comprehensive overview of the principles and techniques used in modern control system design. The book covers topics such as state-space analysis, optimal control, and robust control, offering practical insights and examples to help engineers and students understand and apply these concepts in real-world scenarios.

Numerical Computing with MATLAB by Cleve B. Moler is a comprehensive guide that teaches readers how to use MATLAB for numerical analysis. It covers a wide range of topics including linear algebra, interpolation, differential equations, and more. With clear explanations and practical examples, this book is perfect for anyone looking to enhance their numerical computing skills using MATLAB.

Numerical Methods in Engineering with MATLAB by Jaan Kiusalaas provides a comprehensive introduction to numerical methods for engineering applications. The book covers a wide range of topics including root finding, interpolation, curve fitting, numerical integration, and differential equations. With MATLAB examples and exercises, it offers a practical approach to understanding and implementing numerical techniques in engineering problems.

Spectral Methods in MATLAB by Lloyd N. Trefethen provides a comprehensive introduction to spectral methods and their application in solving various mathematical problems. The book includes practical examples and MATLAB codes to demonstrate the implementation of spectral methods, making it a valuable resource for students and researchers in the field of numerical analysis and scientific computing.

Undocumented Secrets of Matlab-Java Programming by Yair M. Altman delves into the hidden capabilities of Matlab and Java integration. It uncovers the undocumented features and techniques that can enhance your programming skills and empower you to create more efficient and powerful applications. Whether you are a beginner or an experienced programmer, this book will broaden your understanding of Matlab and Java integration.

Getting Started with MATLAB 7 by Rudra Pratap is a comprehensive guide designed to help beginners learn MATLAB quickly and efficiently. It covers the basic concepts, syntax, and features of MATLAB 7, making it an ideal resource for students, engineers, and scientists who want to harness the power of this popular programming language for technical computing and data analysis.