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Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processing (DSP). In addition, as most modern engineers are required to study software, material suitable for Software Engineering - set theory, predicate and prepositional calculus, language and graph theory - is fully integrated into the book.Excessive technical detail and language are avoided, recognising that the real requirement for

Computer science - Mathematics. --- Electric engineering - Mathematics. --- Electric engineering--Mathematics. Computer science--Mathematics. --- Electrical engineering --- Computer science --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Mathematics --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Engineering mathematics

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Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which help you to learn programming and modeling essentials. You’ll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After reading and using this book, you'll be proficient at using MATLAB and applying the source code from the book's examples as templates for your own projects in data science or engineering. You will: Get started using MATLAB and Simulink Carry out data visualization with MATLAB Gain the programming and modeling essentials of MATLAB Build a GUI with MATLAB Work with integration and numerical root finding methods Apply MATLAB to differential equations-based models and simulations Use MATLAB for data science projects.

Programming languages (Electronic computers). --- Mathematical logic. --- Numerical analysis. --- Computer science—Mathematics. --- Programming Languages, Compilers, Interpreters. --- Mathematical Logic and Formal Languages. --- Numeric Computing. --- Symbolic and Algebraic Manipulation. --- MATLAB.

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Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.  You will: Apply sample code to your engineering or science problems Work with MATLAB arrays, functions, and loops  Use MATLAB’s plotting functions for data visualization Solve numerical computing and computational engineering problems with a MATLAB case study.

Mathematics --- Computer science --- Programming --- Computer. Automation --- Matlab (informatica) --- computers --- informatica --- programmeren (informatica) --- programmeertalen --- wiskunde --- computerkunde --- Programming languages (Electronic computers). --- Computer science—Mathematics. --- Computer programming. --- Programming Languages, Compilers, Interpreters. --- Math Applications in Computer Science. --- Programming Techniques. --- MATLAB. --- Programming languages (Electronic computers)

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Baffled by maths? Then don't give up hope. John Vince will show you how to understand many of the mathematical ideas used in computer animation, virtual reality, CAD, and other areas of computer graphics. In thirteen chapters you will rediscover - and hopefully discover for the first time a new way of understanding - the mathematical techniques required to solve problems and design computer programs for computer graphic applications. Each chapter explores a specific mathematical topic and takes you forward into more advanced areas until you are able to understand 3D curves and surface patches, and solve problems using vectors. After reading the book, you should be able to refer to more challenging books with confidence and develop a greater insight into the design of computer graphics software. Get to grips with mathematics fast ... • Numbers • Algebra • Trigonometry • Coordinate geometry • Transforms • Vectors • Curves and surfaces • Barycentric coordinates • Analytic geometry Mathematics for Computer Graphics, Second Edition The book you will read once, and refer to over and over again!

Computer graphics --- Mathematics. --- Math --- Science --- Computer science. --- Computer simulation. --- Computer graphics. --- Mathematics of Computing. --- Simulation and Modeling. --- Computer Graphics. --- Math Applications in Computer Science. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Informatics --- Digital techniques --- Computer science—Mathematics.

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The world of mathematics is probably one of the most fascinating creations of mankind. The world of mathematics with a Computer Algebra System, like MuPAD, is even more fascinating. With MuPAD, we can develop mathematical concepts, explore them and visualize them with just a few simple commands. This book is a gentle introduction to MuPAD - a modern Computer Algebra System. The author introduces MuPAD step by step and shows how we can use it in various areas of mathematics. A large chapter of the book is devoted to the graphical visualization of mathematical concepts ,and MuPAD graphics are also used extensively throughout the rest of the book. Each chapter of the book should be considered as a single workshop for MuPAD beginners. The whole book is a perfect resource for conducting workshops on using Computer Algebra Systems to explore, experiment with, and visualize mathematical concepts.

Mathematics -- Data processing. --- MuPAD. --- Computer Science --- Engineering & Applied Sciences --- Mathematics --- Data processing. --- Multi-Processing Algebra Data Tool --- Mathematics. --- Computer science --- Algebra. --- Functions of real variables. --- Computer software. --- Statistics. --- Mathematical Software. --- Symbolic and Algebraic Manipulation. --- Real Functions. --- Statistics, general. --- Algebra --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Math --- Science --- Mathematical analysis --- Software, Computer --- Computer systems --- Computer science—Mathematics. --- Statistics . --- Real variables --- Functions of complex variables