Scientific Computing With Matlab And Octave

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Scientific Computing with MATLAB and Octave

Author : Alfio Quarteroni
Publisher : Springer Science & Business Media
ISBN 13 : 3642124305
Total Pages : 366 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Scientific Computing with MATLAB and Octave by : Alfio Quarteroni

Download or read book Scientific Computing with MATLAB and Octave written by Alfio Quarteroni and published by Springer Science & Business Media. This book was released on 2010-05-30 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface to the First Edition This textbook is an introduction to Scienti?c Computing. We will illustrate several numerical methods for the computer solution of c- tain classes of mathematical problems that cannot be faced by paper and pencil. We will show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of di?erential equations. With this aim, in Chapter 1 we will illustrate the rules of the game thatcomputersadoptwhenstoringandoperatingwith realandcomplex numbers, vectors and matrices. In order to make our presentation concrete and appealing we will 1 adopt the programming environment MATLAB as a faithful c- panion. We will gradually discover its principal commands, statements and constructs. We will show how to execute all the algorithms that we introduce throughout the book. This will enable us to furnish an - mediate quantitative assessment of their theoretical properties such as stability, accuracy and complexity. We will solve several problems that will be raisedthrough exercises and examples, often stemming from s- ci?c applications.

Scientific Computing With Matlab And Octave, 2Nd Ed

Author : Quarteroni
Publisher :
ISBN 13 : 9788184894301
Total Pages : 334 pages
Book Rating : 4.8/5 (943 download)

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Book Synopsis Scientific Computing With Matlab And Octave, 2Nd Ed by : Quarteroni

Download or read book Scientific Computing With Matlab And Octave, 2Nd Ed written by Quarteroni and published by . This book was released on 2009-11-01 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Programming for Computations - MATLAB/Octave

Author : Svein Linge
Publisher : Springer
ISBN 13 : 3319324527
Total Pages : 228 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Programming for Computations - MATLAB/Octave by : Svein Linge

Download or read book Programming for Computations - MATLAB/Octave written by Svein Linge and published by Springer. This book was released on 2016-08-01 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Scientific Computing with MATLAB

Author : Alfio Quarteroni
Publisher : Springer Science & Business Media
ISBN 13 : 3642593399
Total Pages : 270 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Scientific Computing with MATLAB by : Alfio Quarteroni

Download or read book Scientific Computing with MATLAB written by Alfio Quarteroni and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of differential equations. To make the presentation concrete and appealing, the programming environment Matlab is adopted as a faithful companion.

Introduction to GNU Octave

Author : Jason Lachniet
Publisher : Lulu.com
ISBN 13 : 0359329640
Total Pages : 156 pages
Book Rating : 4.3/5 (593 download)

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Book Synopsis Introduction to GNU Octave by : Jason Lachniet

Download or read book Introduction to GNU Octave written by Jason Lachniet and published by Lulu.com. This book was released on 2018-11-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brief introduction to scientific computing with GNU Octave. Designed as a textbook supplement for freshman and sophomore level linear algebra and calculus students.

Scientific Computing

Author : Timo Heister
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110988453
Total Pages : 184 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Scientific Computing by : Timo Heister

Download or read book Scientific Computing written by Timo Heister and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-04-03 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics.

Numerical Computing with MATLAB

Author : Cleve B. Moler
Publisher : SIAM
ISBN 13 : 0898716608
Total Pages : 340 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Numerical Computing with MATLAB by : Cleve B. Moler

Download or read book Numerical Computing with MATLAB written by Cleve B. Moler and published by SIAM. This book was released on 2010-08-12 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.

Essential MATLAB and Octave

Author : Jesus Rogel-Salazar
Publisher : CRC Press
ISBN 13 : 1482234645
Total Pages : 288 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Essential MATLAB and Octave by : Jesus Rogel-Salazar

Download or read book Essential MATLAB and Octave written by Jesus Rogel-Salazar and published by CRC Press. This book was released on 2014-11-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Two Popular Programming Languages in a Single Volume Widely used by scientists and engineers, well-established MATLAB® and open-source Octave are similar software programs providing excellent capabilities for data analysis, visualization, and more. By means of straightforward explanations and examples from different areas in mathematics, engineering, finance, and physics, Essential MATLAB and Octave explains how MATLAB and Octave are powerful tools applicable to a variety of problems. This text provides an introduction that reveals basic structures and syntax, demonstrates the use of functions and procedures, outlines availability in various platforms, and highlights the most important elements for both programs. Effectively Implement Models and Prototypes Using Computational Models This text requires no prior knowledge. Self-contained, it allows the reader to use the material whenever needed rather than follow a particular order. Compatible with both languages, the book material incorporates commands and structures that allow the reader to gain a greater awareness of MATLAB and Octave, write their own code, and implement their scripts and programs within a variety of applicable fields. It is always made clear when particular examples apply only to MATLAB or only to Octave, allowing the book to be used flexibly depending on readers’ requirements. Includes brief, simple code that works in both MATLAB and Octave Provides exercise sections at the end of each chapter Introduces framed examples and discussions with a scientific twist Exercises are provided at the end of each chapter Essential MATLAB and Octave offers an introductory course in MATLAB and Octave programming and is an authoritative resource for students in physics, mathematics, statistics, engineering, and any other subjects that require the use of computers to solve numerical problems.

Programming for Computations - Python

Author : Svein Linge
Publisher : Springer
ISBN 13 : 3319324284
Total Pages : 244 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Programming for Computations - Python by : Svein Linge

Download or read book Programming for Computations - Python written by Svein Linge and published by Springer. This book was released on 2016-07-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB

Author : Alain Vande Wouwer
Publisher : Springer
ISBN 13 : 3319067907
Total Pages : 406 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB by : Alain Vande Wouwer

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 406 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.

Scientific Computing with MATLAB

Author : Alfio Quarteroni
Publisher :
ISBN 13 : 9783642593406
Total Pages : 276 pages
Book Rating : 4.5/5 (934 download)

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Book Synopsis Scientific Computing with MATLAB by : Alfio Quarteroni

Download or read book Scientific Computing with MATLAB written by Alfio Quarteroni and published by . This book was released on 2004-06-24 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Octave

Author : Sandeep Nagar
Publisher : Apress
ISBN 13 : 1484232011
Total Pages : 219 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Introduction to Octave by : Sandeep Nagar

Download or read book Introduction to Octave written by Sandeep Nagar and published by Apress. This book was released on 2017-11-25 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Familiarize yourself with Octave 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 Octave, which can run MATLAB files without modification. Introduction to Octave 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 Octave arrays, functions, and loops Use Octave’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Octave Who This Book Is For Engineers, scientists, researchers, and students who are new to Octave. Some prior programming experience would be helpful but not required.

GNU Octave

Author : Jesper Schmidt Hansen
Publisher : Packt Publishing Ltd
ISBN 13 : 1849513333
Total Pages : 507 pages
Book Rating : 4.8/5 (495 download)

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Book Synopsis GNU Octave by : Jesper Schmidt Hansen

Download or read book GNU Octave written by Jesper Schmidt Hansen and published by Packt Publishing Ltd. This book was released on 2011-06-21 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, scientific computing and data analysis play an integral part in most scientific disciplines ranging from mathematics and biology to imaging processing and finance. With GNU Octave you have a highly flexible tool that can solve a vast number of such different problems as complex statistical analysis and dynamical system studies. The GNU Octave Beginner's Guide gives you an introduction that enables you to solve and analyze complicated numerical problems. The book is based on numerous concrete examples and at the end of each chapter you will find exercises to test your knowledge. It's easy to learn GNU Octave, with the GNU Octave Beginner's Guide to hand. Using real-world examples the GNU Octave Beginner's Guide will take you through the most important aspects of GNU Octave. This practical guide takes you from the basics where you are introduced to the interpreter to a more advanced level where you will learn how to build your own specialized and highly optimized GNU Octave toolbox package. The book starts by introducing you to work variables like vectors and matrices, demonstrating how to perform simple arithmetic operations on these objects before explaining how to use some of the simple functionality that comes with GNU Octave, including plotting. It then goes on to show you how to write new functionality into GNU Octave and how to make a toolbox package to solve your specific problem. Finally, it demonstrates how to optimize your code and link GNU Octave with C and C++ code enabling you to solve even the most computationally demanding tasks. After reading GNU Octave Beginner's Guide you will be able to use and tailor GNU Octave to solve most numerical problems and perform complicated data analysis with ease.

Learning MATLAB

Author : Walter Gander
Publisher : Springer
ISBN 13 : 3319253271
Total Pages : 149 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Learning MATLAB by : Walter Gander

Download or read book Learning MATLAB written by Walter Gander and published by Springer. This book was released on 2015-11-21 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.

Scientific Computing with MATLAB

Author : Dingyu Xue
Publisher : CRC Press
ISBN 13 : 1315362104
Total Pages : 586 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Scientific Computing with MATLAB by : Dingyu Xue

Download or read book Scientific Computing with MATLAB written by Dingyu Xue and published by CRC Press. This book was released on 2018-09-03 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.

A Primer on Scientific Programming with Python

Author : Hans Petter Langtangen
Publisher : Springer
ISBN 13 : 3662498871
Total Pages : 942 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis A Primer on Scientific Programming with Python by : Hans Petter Langtangen

Download or read book A Primer on Scientific Programming with Python written by Hans Petter Langtangen and published by Springer. This book was released on 2016-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Numeric Computation and Statistical Data Analysis on the Java Platform

Author : Sergei V. Chekanov
Publisher : Springer
ISBN 13 : 3319285319
Total Pages : 620 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Numeric Computation and Statistical Data Analysis on the Java Platform by : Sergei V. Chekanov

Download or read book Numeric Computation and Statistical Data Analysis on the Java Platform written by Sergei V. Chekanov and published by Springer. This book was released on 2016-03-23 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.