Introduction To Scientific Programming

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Introduction to Scientific Programming with Python

Joakim Sundnes
Introduction to Scientific Programming with Python Book PDF

Author : Joakim Sundnes
Publisher : Unknown
Page : 157 pages
File Size : 55,8 Mb
Release : 2020
Category : Computer programming
ISBN : 9783030503567

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Introduction to Scientific Programming with Python by Joakim Sundnes Pdf

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

Introduction to Scientific Programming and Simulation Using R

Owen Jones,Robert Maillardet,Andrew Robinson
Introduction to Scientific Programming and Simulation Using R Book PDF

Author : Owen Jones,Robert Maillardet,Andrew Robinson
Publisher : CRC Press
Page : 599 pages
File Size : 49,9 Mb
Release : 2014-06-12
Category : Mathematics
ISBN : 9781466570016

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Introduction to Scientific Programming and Simulation Using R by Owen Jones,Robert Maillardet,Andrew Robinson Pdf

Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,

A Primer on Scientific Programming with Python

Hans Petter Langtangen
A Primer on Scientific Programming with Python Book PDF

Author : Hans Petter Langtangen
Publisher : Springer
Page : 942 pages
File Size : 51,5 Mb
Release : 2016-07-28
Category : Computers
ISBN : 9783662498873

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A Primer on Scientific Programming with Python by Hans Petter Langtangen Pdf

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

An Introduction to Scientific Computation and Programming

Daniel Kaplan
An Introduction to Scientific Computation and Programming Book PDF

Author : Daniel Kaplan
Publisher : Cengage Learning
Page : 564 pages
File Size : 47,5 Mb
Release : 2004
Category : Computers
ISBN : PSU:000055802475

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An Introduction to Scientific Computation and Programming by Daniel Kaplan Pdf

This book provides students with the modern skills and concepts needed to be able to use the computer expressively in scientific work. The author takes an integrated approach by covering programming, important methods and techniques of scientific computation (graphics, the organization of data, data acquisition, numerical methods, etc.) and the organization of software. Balancing the best of the teach-a-package and teach-a-language approaches, the book teaches general-purpose language skills and concepts, and also takes advantage of existing package-like software so that realistic computations can be performed.

Introduction to the Tools of Scientific Computing

Einar Smith
Introduction to the Tools of Scientific Computing Book PDF

Author : Einar Smith
Publisher : Springer Nature
Page : 344 pages
File Size : 52,6 Mb
Release : 2020-12-02
Category : Mathematics
ISBN : 9783030608088

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Introduction to the Tools of Scientific Computing by Einar Smith Pdf

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts. In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing. The fact that different languages are studied and compared also makes the book useful for mathematicians and practitioners trying to decide which programming language to use for which purposes.

Introduction to Scientific and Technical Computing

Frank T. Willmore,Eric Jankowski,Coray Colina
Introduction to Scientific and Technical Computing Book PDF

Author : Frank T. Willmore,Eric Jankowski,Coray Colina
Publisher : CRC Press
Page : 266 pages
File Size : 46,6 Mb
Release : 2016-08-19
Category : Computers
ISBN : 9781315351858

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Introduction to Scientific and Technical Computing by Frank T. Willmore,Eric Jankowski,Coray Colina Pdf

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

Learning Scientific Programming with Python

Christian Hill
Learning Scientific Programming with Python Book PDF

Author : Christian Hill
Publisher : Cambridge University Press
Page : 572 pages
File Size : 54,5 Mb
Release : 2020-11-12
Category : Science
ISBN : 9781108787468

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Learning Scientific Programming with Python by Christian Hill Pdf

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Elegant SciPy

Juan Nunez-Iglesias,Stéfan van der Walt,Harriet Dashnow
Elegant SciPy Book PDF

Author : Juan Nunez-Iglesias,Stéfan van der Walt,Harriet Dashnow
Publisher : "O'Reilly Media, Inc."
Page : 277 pages
File Size : 54,8 Mb
Release : 2017-08-11
Category : Computers
ISBN : 9781491922958

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Elegant SciPy by Juan Nunez-Iglesias,Stéfan van der Walt,Harriet Dashnow Pdf

Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write elegant code that’s clear, concise, and efficient at executing the task at hand. Throughout the book, you’ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you’ll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. Explore the NumPy array, the data structure that underlies numerical scientific computation Use quantile normalization to ensure that measurements fit a specific distribution Represent separate regions in an image with a Region Adjacency Graph Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform Solve sparse matrix problems, including image segmentations, with SciPy’s sparse module Perform linear algebra by using SciPy packages Explore image alignment (registration) with SciPy’s optimize module Process large datasets with Python data streaming primitives and the Toolz library

Scientific Programming

Jorge Alberto Calvo
Scientific Programming Book PDF

Author : Jorge Alberto Calvo
Publisher : Cambridge Scholars Publishing
Page : 562 pages
File Size : 46,7 Mb
Release : 2018-12-19
Category : Computers
ISBN : 9781527523845

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Scientific Programming by Jorge Alberto Calvo Pdf

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.

Introduction to Scientific Computing and Data Analysis

Mark H. Holmes
Introduction to Scientific Computing and Data Analysis Book PDF

Author : Mark H. Holmes
Publisher : Springer Nature
Page : 563 pages
File Size : 52,8 Mb
Release : 2023-07-11
Category : Computers
ISBN : 9783031224300

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Introduction to Scientific Computing and Data Analysis by Mark H. Holmes Pdf

This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.

Introduction to High Performance Scientific Computing

Victor Eijkhout
Introduction to High Performance Scientific Computing Book PDF

Author : Victor Eijkhout
Publisher : Lulu.com
Page : 536 pages
File Size : 41,7 Mb
Release : 2010
Category : Algebras, Linear
ISBN : 9781257992546

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Introduction to High Performance Scientific Computing by Victor Eijkhout Pdf

This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

Guide to Scientific Computing in C++

Joe Pitt-Francis,Jonathan Whiteley
Guide to Scientific Computing in C Book PDF

Author : Joe Pitt-Francis,Jonathan Whiteley
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 53,5 Mb
Release : 2012-02-15
Category : Computers
ISBN : 9781447127369

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Guide to Scientific Computing in C++ by Joe Pitt-Francis,Jonathan Whiteley Pdf

This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.

Introduction to Scientific Computing

Charles F. Van Loan
Introduction to Scientific Computing Book PDF

Author : Charles F. Van Loan
Publisher : Pearson
Page : 388 pages
File Size : 54,6 Mb
Release : 2000
Category : Computers
ISBN : STANFORD:36105028540370

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Introduction to Scientific Computing by Charles F. Van Loan Pdf

Unique in content and approach, this book covers all the topics that are usually covered in an introduction to scientific computing--but folds in graphics and matrix-vector manipulation in a way that gets readers to appreciate the "connection" between continuous mathematics and computing. "MATLAB 5" is used "throughout" to encourage experimentation, and each chapter focuses on a different important theorem--allowing readers to appreciate the rigorous side of scientific computing. In addition to standard topical coverage, each chapter includes 1) a sketch of a "hard" problem that involves ill-conditioning, high dimension, etc.; 2)at least one theorem with both a rigorous proof and a "proof by MATLAB" experiment to bolster intuition; 3)at least one recursive algorithm; and 4)at least one connection to a real-world application. The book revolves around examples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Power Tools of the Trade. Polynomial Interpolation. Piecewise Polynomial Interpolation. Numerical Integration. Matrix Computations. Linear Systems. The QR and Cholesky Factorizations. Nonlinear Equations and Optimization. The Initial Value Problem. For engineers and mathematicians.

Scientific Programming and Computer Architecture

Divakar Viswanath
Scientific Programming and Computer Architecture Book PDF

Author : Divakar Viswanath
Publisher : MIT Press
Page : 625 pages
File Size : 51,6 Mb
Release : 2017-07-28
Category : Computers
ISBN : 9780262036290

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Scientific Programming and Computer Architecture by Divakar Viswanath Pdf

A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the computer. What makes computer programs fast or slow? To answer this question, we have to get behind the abstractions of programming languages and look at how a computer really works. This book examines and explains a variety of scientific programming models (programming models relevant to scientists) with an emphasis on how programming constructs map to different parts of the computer's architecture. Two themes emerge: program speed and program modularity. Throughout this book, the premise is to "get under the hood," and the discussion is tied to specific programs. The book digs into linkers, compilers, operating systems, and computer architecture to understand how the different parts of the computer interact with programs. It begins with a review of C/C++ and explanations of how libraries, linkers, and Makefiles work. Programming models covered include Pthreads, OpenMP, MPI, TCP/IP, and CUDA.The emphasis on how computers work leads the reader into computer architecture and occasionally into the operating system kernel. The operating system studied is Linux, the preferred platform for scientific computing. Linux is also open source, which allows users to peer into its inner workings. A brief appendix provides a useful table of machines used to time programs. The book's website (https://github.com/divakarvi/bk-spca) has all the programs described in the book as well as a link to the html text.

Scientific Computing - An Introduction using Maple and MATLAB

Walter Gander,Martin J. Gander,Felix Kwok
Scientific Computing An Introduction using Maple and MATLAB Book PDF

Author : Walter Gander,Martin J. Gander,Felix Kwok
Publisher : Springer Science & Business
Page : 905 pages
File Size : 44,6 Mb
Release : 2014-04-23
Category : Mathematics
ISBN : 9783319043258

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Scientific Computing - An Introduction using Maple and MATLAB by Walter Gander,Martin J. Gander,Felix Kwok Pdf

Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.