First Semester In Numerical Analysis With Python PDF Download
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| Author | : Yaning Liu |
| Publisher | : |
| Total Pages | : 0 |
| Release | : |
| Genre | : Analysis |
| ISBN | : |
Download First Semester in Numerical Analysis with Python Book in PDF, ePub and Kindle
The book is based on "First semester in Numerical Analysis with Julia", written by Giray Ökten. The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index, a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based interactive development environment for Python as well as many other programming languages, was used throughout the book and is recommended to the readers for easy code development, graph visualization and reproducibility.
| Author | : Giray Ökten |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Julia (Computer programming language) |
| ISBN | : |
Download First Semester in Numerical Analysis with Julia Book in PDF, ePub and Kindle
| Author | : Jaan Kiusalaas |
| Publisher | : Cambridge University Press |
| Total Pages | : 437 |
| Release | : 2013-01-21 |
| Genre | : Computers |
| ISBN | : 1107033853 |
Download Numerical Methods in Engineering with Python 3 Book in PDF, ePub and Kindle
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
| Author | : James V. Lambers |
| Publisher | : |
| Total Pages | : 674 |
| Release | : 2021 |
| Genre | : Electronic books |
| ISBN | : 9789811227943 |
Download Explorations in Numerical Analysis Book in PDF, ePub and Kindle
"This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations. Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language. This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra"--
| Author | : Qingkai Kong |
| Publisher | : Academic Press |
| Total Pages | : 482 |
| Release | : 2020-11-27 |
| Genre | : Technology & Engineering |
| ISBN | : 0128195509 |
Download Python Programming and Numerical Methods Book in PDF, ePub and Kindle
Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice Summaries at the end of each chapter allow for quick access to important information Includes code in Jupyter notebook format that can be directly run online
| Author | : George A. Anastassiou |
| Publisher | : Springer |
| Total Pages | : 321 |
| Release | : 2015-04-11 |
| Genre | : Mathematics |
| ISBN | : 3319167391 |
Download Numerical Analysis Using Sage Book in PDF, ePub and Kindle
This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application. Answers may be verified using Sage. The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as Mathematica®. Sage is open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiarity with any programming language is a plus. Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc. All Sage code that is presented in the text is openly available on SpringerLink.com.
| Author | : William Miles |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 308 |
| Release | : 2023-03-06 |
| Genre | : Computers |
| ISBN | : 3110776936 |
Download Numerical Methods with Python Book in PDF, ePub and Kindle
Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others. The text could be used by students and lecturers for courses in Python, Numerical Methods, or as a first course in Data Science.
| Author | : Svein Linge |
| Publisher | : Springer Nature |
| Total Pages | : 350 |
| Release | : 2019-10-30 |
| Genre | : Computers |
| ISBN | : 3030168778 |
Download Programming for Computations - Python Book in PDF, ePub and Kindle
This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed 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 students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.
| Author | : Alex Gezerlis |
| Publisher | : Cambridge University Press |
| Total Pages | : 706 |
| Release | : 2023-05-31 |
| Genre | : Science |
| ISBN | : 1009303848 |
Download Numerical Methods in Physics with Python Book in PDF, ePub and Kindle
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
| Author | : Svein Linge |
| Publisher | : Springer |
| Total Pages | : 244 |
| Release | : 2016-07-25 |
| Genre | : Computers |
| ISBN | : 3319324284 |
Download Programming for Computations - Python Book in PDF, ePub and Kindle
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.
