Download or read book Introduction to Scilab written by Sandeep Nagar and published by Apress. This book was released on 2017-11-11 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Familiarize yourself with Scilab 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 in Scilab. Introduction to Scilab 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. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab. What You'll Learn Apply sample code to your engineering or science problems Work with Scilab arrays, functions, and loops Use Scilab’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Scilab Who This Book Is For Engineers, scientists, researchers, and students who are new to Scilab. Some prior programming experience would be helpful but not required.
Download or read book Introduction to Scilab written by Sandeep Nagar and published by . This book was released on 2016-12-16 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab is open source equivalent for basic MATLAB package. Its usage in scientific and numerical computation is gaining popularity day by day. The biggest advantage of using Scilab over another free software Octave for the purpose is that XCOS(Scilab) rivals Simulink (MATLAB) capabilities whereas Octave does not have any such graphical programming capabilities. Present book gives introduction to Scilab for a new-user. Starting from very basic, it goes on to explain array based computing, plotting and working with files. The book is useful for students, researchers and students who are looking for a open source software for numerical computation. Present book is specially written in concise format so that new user can learn quickly in learn-by-doing fashion. CHAPTERS: 1-Introduction,2-Working with Arrays,3-Plotting,4-Data through file reading and writing, 5-Functions and loops, 6- Numerical computing formalism
Download or read book Introduction to Scilab for Scientists and Engineers written by John Maclane and published by Createspace Independent Publishing Platform. This book was released on 2017-06 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab is open source equivalent for basic MATLAB package. Its usage in scientific and numerical computation is gaining popularity day by day. The biggest advantage of using Scilab over another free software Octave for the purpose is that XCOS(Scilab) rivals Simulink (MATLAB) capabilities whereas Octave does not have any such graphical programming capabilities. Present book gives introduction to Scilab for a new-user. Starting from very basic, it goes on to explain array based computing, plotting and working with files. The book is useful for students, researchers and students who are looking for a open source software for numerical computation. Present book is specially written in concise format so that new user can learn quickly in learn-by-doing fashion. CHAPTERS: 1-Introduction,2-Working with Arrays,3-Plotting,4-Data through file reading and writing, 5-Functions and loops, 6- Numerical computing formalism
Download or read book Engineering and Scientific Computing with Scilab written by Claude Gomez and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplementary files run on UNIX and Windows 95/98/NT
Download or read book Introduction to Scilab Student Edition written by Arvind Verma and published by . This book was released on 2018-09-05 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab is a very powerful, free and open-source software package for scientific and technical computation, visualization and programming. It includes a large number of general purpose and specialized functions, using state of the art algorithms, for numerical computation. These functions are organized in libraries called toolboxes that cover areas such as simulation, optimization, image processing, control and signal processing. With easy to use high level programming language and huge library of functions, Scilab reduces considerably the burden of programming for scientific and technical applications. It can also be interactively used as a very powerful scientific calculator. Since Scilab is available free of cost to everyone across the globe and is continuously upgraded by a strong team of open source developers, it is suitable for all undergraduate students, researchers, professors and professionals in any field of Science and Engineering. Further, many commercial developers are also using it to reduce their project cost and has reported many successful applications.This book is written following several years of teaching the software to our students in introductory courses in numerical methods. The basic objective to write this book is to teach Scilab in a friendly, non-intimidating fashion, without any previous programming experience. Therefore, the book is written in simple language with many sample problems in mathematics, science, and engineering. Starting from the basic concepts, the book gradually builds advanced concepts, making it suitable for freshmen and professionals. The source codes of all the examples presented in this book can be downloaded from https://github.com/arvindrachna/Introduction_to_ScilabFor promoting outcome based learning, each chapter of the book starts with chapter objectives and lucidly introduces the basic concepts, with sample examples, to achieve those objectives. Each chapter concludes with a summary and a list of key terms to recapitulate the learned concepts. Finally, the chapter ends with exercise problems so as students can apply the concepts learned in the chapter.The book consists of seven chapters. The first chapter gives a focused introduction to Scilab and explains how one can install the software on ones machine. The second chapter introduces the core concepts of Scilab, a matrix based technical computing environment. This chapter also introduces how the software can be used in its interactive mode to solve scientific and technical problems. The third chapter introduces how to create and manipulate vectors and matrices in Scilab. It also introduces array and matrix operators. The fourth chapter explains how polynomials can be processed in Scilab. Polynomial operations, differentiation and integration are also introduced. The fifth chapter explains graphics capabilities of Scilab. Various 2D and 3D graphics functions are explained in this chapter. The sixth chapter is focused on the programming capabilities of the software. Various programming constructs are explained with examples. The last chapter explains basic numerical methods and how to create Scilab programs for them. This chapter helps students to apply the learned concepts to actual numerical method problems. The book ends with an appendix of commonly used Scilab commands and functions.Table of Contents1Introduction to Scilab2Basics of Scilab3Vectors and Matrices4Polynomials5Scilab Graphics6Programming in Scilab7Numerical Methods Using Scilab8Appendix I : Commonly Used Scilab Functions
Download or read book Numerical and Statistical Methods with SCILAB for Science and Engineering written by Gilberto E. Urroz and published by . This book was released on 2001 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/)
Download or read book Simulation of ODE PDE Models with MATLAB OCTAVE and SCILAB written by Alain Vande Wouwer and published by Springer. This book was released on 2014-06-07 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and partial differential equations (PDEs). Special attention is paid to the numerical method of lines (MOL), a popular approach to the solution of time-dependent PDEs, which proceeds in two basic steps: spatial discretization and time integration. Besides conventional finite-difference and element techniques, more advanced spatial-approximation methods are examined in some detail, including nonoscillatory schemes and adaptive-grid approaches. A MOL toolbox has been developed within MATLAB®/OCTAVE/SCILAB. In addition to a set of spatial approximations and time integrators, this toolbox includes a collection of application examples, in specific areas, which can serve as templates for developing new programs. Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB provides a practical introduction to some advanced computational techniques for dynamic system simulation, supported by many worked examples in the text, and a collection of codes available for download from the book’s page at www.springer.com. This text is suitable for self-study by practicing scientists and engineers and as a final-year undergraduate course or at the graduate level.
Download or read book Modeling and Simulation in Scilab Scicos with ScicosLab 4 4 written by Stephen L. Campbell and published by Springer Science & Business Media. This book was released on 2009-12-21 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab and its Scicos block diagram graphical editor, with a special emphasis on modeling and simulation tools. The first part is a detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated through numerous examples, and all code used in the book is available to the reader.
Download or read book Scilab written by Tejas Sheth and published by . This book was released on 2016-09-23 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab is open source software distributed under CeCILL license. Scilab is widely used in Engineering, Sciences and mathematics as a free tool. Scilab includes hundreds of mathematical functions. It has a high level programming language allowing access to advanced data structures, 2D and 3D graphical functions. Scilab is used as alternate software to MATLAB. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit Scilab's extensive capabilities for tackling engineering problems. The 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. In-depth coverage is given to input/output, data structure a topic fundamental to many engineering applications. Book introduce the numerical analysis. Books also show the capability of SCILAB in 2D and 3D plotting. This book is based on the most recent version of Scilab (5.5) and a great deal of care has been put into communicating the best practices relevant to the current software. Scilab is available for Windows/ Mac and Linux but this book is written as platform independent. * Presents programming concepts and Scilab built-in functions and developing scripts. * Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning * Sections on common pitfalls and programming guidelines direct students towards best practice The books is 248 pages with the ten different chapter like 1. Scilab: An Introduction 2. Arrays: Vector Matrix 3. Mathematical Operation with Arrays 4. Using Script Files and Managing Data 5. Two-Dimensional Plots 6. Programming in Scilab 7. User-Defined Function and Function Library 8. Polynomials, Curve Fittings, and Interpolation 9. Application in Numerical Analysis 10. Three-Dimensional Plots. A-1 XCOS A-2 ATOMS
Download or read book Feedback Systems written by Karl Johan Åström and published by Princeton University Press. This book was released on 2021-02-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Download or read book Modeling and Simulation in Scilab Scicos with ScicosLab 4 4 written by Stephen L. Campbell and published by Springer Science & Business Media. This book was released on 2006-10-12 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scilab and its Scicos block diagram graphical editor, with a special emphasis on modeling and simulation tools. The first part is a detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated through numerous examples, and all code used in the book is available to the reader.
Download or read book Engineering and Scientific Computing with Scilab written by Claude Gomez and published by Springer Science & Business Media. This book was released on 1999-07-01 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplementary files run on UNIX and Windows 95/98/NT
Download or read book Introduction to Xcos written by Rachna Verma and published by Independently Published. This book was released on 2020-08 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Xcos is a very powerful and open source block-based modeling and simulation system for dynamical systems. Its capabilities are comparable to commercially available block-based modeling and simulation tools, including Simulink(R), one of the most popular commercial tool. Xcos is useful for modeling continuous and discrete dynamical systems. Further, it provides facilities to seamlessly integrate continuous and discrete components in a single model, making it capable to handle hybrid dynamical systems. Xcos provides a modular approach to model complex dynamical systems using a block diagram editor. Xcos contains a rich library of commonly used blocks, arranged in various palettes for the convenience of searching them, for elementary operations needed to construct models of many dynamical systems. These blocks can be dragged and dropped into the model editor to create a simulation model. For advanced users, Xcos provides facilities to create new blocks and to create their own libraries to further extend the capabilities of Xcos. Since Xcos is available free of cost to everyone across the globe and is continuously upgraded by a strong team of open source developers, it is suitable for all undergraduate students, researchers, professors and professionals in any field of Science and Engineering. Further, many commercial developers are also using it to reduce their project cost and has reported many successful applications.Starting from the basic concepts, the book gradually builds advanced concepts, making it suitable for freshmen and professionals. The Xcos models of all the examples included in this book are available at https: //github.com/arvindrachna/Introduction_to_Xcos. The book consists of the following 15 chapters: Chapter 1: Introduction to XcosChapter 2: Sources PaletteChapter 3: Sinks PaletteChapter 4: Mathematical Operations PaletteChapter 5: Matrix Operation PaletteChapter 6: Signal Routing PaletteChapter 7: Event Handling PaletteChapter 8: Integer PaletteChapter 9: Continuous Time Systems PaletteChapter 10: Discrete Time Systems PaletteChapter 11: Discontinuities PaletteChapter 12: Port and Subsystem PaletteChapter 13: User-Defined Functions Palette and Construction of a New BlockChapter 14: Illustrative Solutions of Differential Equations using XcosChapter 15: Modelica based blocks in Xcos
Download or read book An Introduction to Scientific Computing written by Ionut Danaila and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online.
Download or read book Introduction to MATLAB for Engineers and Scientists written by Sandeep Nagar and published by Apress. This book was released on 2017-11-27 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Python for Scientists written by John M. Stewart and published by Cambridge University Press. This book was released on 2017-07-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Download or read book SCILAB A Free Software To MATLAB written by Achuthsankar S Nair and published by S. Chand Publishing. This book was released on 2012 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductio To Scilab | The Scilab Environment | Scalars & Vectors | Matrices | Programming In Scilab | Polynomials | Menus And Dialog Boxes | Graphic Output | String Handling Functions | Statitics | Image Processing Using | Scicos Tool Box Functions | Scicos Visual Editor
