Programming With Matlab For Scientists
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Programming With Matlab For Scientists
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Author : Eugeniy E. Mikhailov
language : en
Publisher: CRC Press
Release Date : 2018-01-12
Programming With Matlab For Scientists written by Eugeniy E. Mikhailov and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-12 with Science categories.
This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful programming and modeling. Readers will benefit from the following features: Teaches programming to scientists and engineers using a problem-based approach, leading with illustrative and interesting examples. Emphasizes a hands-on approach, with "must know" information and minimal technical details. Utilizes examples from science and engineering to showcase the application of learned concepts on real problems. Showcases modeling of real systems, gradually advancing from simpler to more challenging problems. Highlights the practical uses of data processing and analysis in everyday life.
Matlab Programming For Biomedical Engineers And Scientists
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Author : Andrew P. King
language : en
Publisher: Academic Press
Release Date : 2017-06-14
Matlab Programming For Biomedical Engineers And Scientists written by Andrew P. King and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-14 with Technology & Engineering categories.
MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. This book explains the principles of good programming practice, while demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical scientist, and medical researcher with little or no computer programming experience, it is an excellent resource for learning the principles and practice of computer programming using MATLAB. This book enables the reader to: - Analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs - Implement a structured program design in MATLAB, making good use of incremental development approaches - Write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types - Write MATLAB code to read in medical data from files and write data to files - Write MATLAB code that is efficient and robust to errors in input data - Write MATLAB code to analyze and visualize medical data, including imaging data - Many real world biomedical problems and data show the practical application of programming concepts - Two whole chapters dedicated to the practicalities of designing and implementing more complex programs - An accompanying website containing freely available data and source code for the practical code examples, activities, and exercises in the book - For instructors, there are extra teaching materials including a complete set of slides, notes for a course based on the book, and course work suggestions
Introduction To Matlab For Engineers And Scientists
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Author : Sandeep Nagar
language : en
Publisher: Apress
Release Date : 2017-11-27
Introduction To Matlab For Engineers And Scientists written by Sandeep Nagar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-27 with Computers categories.
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. What You'll Learn 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 Who This Book Is For Engineers, scientists, researchers, and students who are new to MATLAB. Some prior programming experience would be helpful but not required.
Matlab Programming For Biomedical Engineers And Scientists
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Author : Andrew P. King
language : en
Publisher: Academic Press
Release Date : 2022-05-24
Matlab Programming For Biomedical Engineers And Scientists written by Andrew P. King and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-24 with Technology & Engineering categories.
MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more. - Presents many real-world biomedical problems and data, showing the practical application of programming concepts - Contains two whole chapters dedicated to the practicalities of designing and implementing more complex programs - Provides an accompanying website with freely available data and source code for the practical code examples, activities and exercises in the book - Includes new chapters on machine learning, engineering mathematics, and expanded coverage of data types
Programming With Matlab For Scientists
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Author : Eugeniy E. Mikhailov
language : en
Publisher: CRC Press
Release Date : 2018-01-12
Programming With Matlab For Scientists written by Eugeniy E. Mikhailov and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-12 with Science categories.
This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful programming and modeling. Readers will benefit from the following features: Teaches programming to scientists and engineers using a problem-based approach, leading with illustrative and interesting examples. Emphasizes a hands-on approach, with "must know" information and minimal technical details. Utilizes examples from science and engineering to showcase the application of learned concepts on real problems. Showcases modeling of real systems, gradually advancing from simpler to more challenging problems. Highlights the practical uses of data processing and analysis in everyday life.
Programming In Matlab
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Author : Naresh Chadha
language : en
Publisher:
Release Date : 2020-12-29
Programming In Matlab written by Naresh Chadha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with categories.
Written for students, researchers and scientists who want to learn MATLAB programming concepts and the effective use of builtin functions. The book assumes no prior knowledge of MATLAB or any other programming language. Main emphasis in the book is to introduce MATLAB programming by discussing good number of informative practical examples (more than 140). A reader after following this book should be able to develop a sound working knowledge of MATLAB and simultaneously develop programming skills in a systematic way to write his own programs.
Introduction To Modern Scientific Programming And Numerical Methods
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Author : Lubos Brieda
language : en
Publisher: CRC Press
Release Date : 2024-10-07
Introduction To Modern Scientific Programming And Numerical Methods written by Lubos Brieda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Science categories.
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process. This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis. It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis. Key Features: Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog Provides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing" Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamics
Scientific Programming
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Author : Jorge Alberto Calvo
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2018-12-19
Scientific Programming written by Jorge Alberto Calvo and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Computers categories.
This book offers an introduction to computer programming, numerical analysis, and other mathematical ideas that extend the basic topics learned in calculus. It illustrates how mathematicians and scientists write computer programs, covering the general building blocks of programming languages and a description of how these concepts fit together to allow computers to produce the results they do. Topics explored here include binary arithmetic, algorithms for rendering graphics, the smooth interpolation of discrete data, and the numerical approximation of non-elementary integrals. The book uses an open-source computer algebra system called Maxima. Using Maxima, first-time programmers can perform familiar tasks, such as graphing functions or solving equations, and learn the basic structures of programming before moving on to other popular programming languages. The epilogue provides some simple examples of how this process works in practice. The book will particularly appeal to students who have finished their calculus sequence.
Matlab And Python Programming
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Author : UpSkill Learning
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-24
Matlab And Python Programming written by UpSkill Learning and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-24 with MATLAB. categories.
Learn MATLAB & PYTHON Programming in Less Than 24 Hours! MATLAB & PYTHON Programming - A Practical Guide For Engineers & Data Scientists is exclusively designed for MATLAB and Python Beginners. This is a step-by-step comprehensive guide that equips your skills in MATLAB and Python. Whether you are a Math Student, Researcher, Teacher, Engineer or Scientist - this book covers the in-and-out of the essentials you need to learn to become familiar with MATLAB and Python Programming. What You'll Learn From This Book? Introduction To MATLAB Chapter 1: MATLAB - Intro, Features, Modules & Influence Chapter 2: Getting started with MATLAB Chapter 3: Getting familiar with MATLAB Chapter 4: Basic Commands in MATLAB Chapter 5: Matrix Operations Chapter 6: Array and Linear Operations Chapter 7: Programming with MATLAB Chapter 8: Input, Output and Operators Chapter 9: Flow Control Statements Chapter 10: Math Functions Chapter 11: Strings Chapter 12: Plots Chapter 13: Graphics and Graphical User Interface Programming Chapter 14: Autocorrelation using MATLAB Chapter 15: How To Become A MATLAB Expert? Chapter 1: Introduction To Python Chapter 2: Python - Features Chapter 3: Setting Up The Environment Chapter 4: Identifiers Chapter 5: Variables Chapter 6: Whitespaces Chapter 7: Comments Chapter 8: Strings Chapter 9: Types Of Operations Chapter 10: Data Types Chapter 11: Flow Of Control/Decision Making Chapter 12: Loops In Python Chapter 13: Functions Chapter 14: Modules Chapter 15: File Handling Chapter 16: Exception Handling Chapter 17: Classes In Python Chapter 18: Tips For Beginners MATLAB has influence over many areas of human technology from Artificial Intelligence to Aerospace. Mastering the basics of MATLAB gives you the ability to learn advanced topics more easily, create amazing tools and software, and conduct engineering tasks with ease. This book's been prepared for the beginners to help them understand basic Python programming. After completing this book from start to end, you will find yourself at a moderate level of expertise in Python programming from where you can take yourself to next levels. If you want to learn MATLAB and Python Programming for your Work or College, this is the right book for you.
Matlab For Behavioral Scientists
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Author : David A. Rosenbaum
language : en
Publisher: Psychology Press
Release Date : 2007
Matlab For Behavioral Scientists written by David A. Rosenbaum and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
MATLAB for Behavioral Scientists walks behavioral scientists through the computer programming process, using terms that are relevant to their concerns and appreciating their special programming needs. Author David A. Rosenbaum introduces Matrix Laboratory (MATLAB), a powerful computer programming language with an active community of users engaged in many branches of science and engineering. Among its many attractive features, MATLAB offers high-level commands for performing calculations with large as well as small data sets and for generating publication-quality graphics. Throughout the text, Rosenbaum presents each new principle with one or more illustrations of usable code. In addition, each chapter begins with suggestions regarding which actions to perform, followed by the commands required to do so. An accompanying Web site lists programs and code output, complete with color, motion, and sound. -- publisher description.