First Semester in Numerical Analysis with Python

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...

Full description

Saved in:
Bibliographic Details
Main Author: Liu, Yaning (Author)
Format: Electronic eBook
Language:English
Published: Denver, Colorado Auraria Institutional Repository
Series:Open textbook library.
Subjects:
Online Access:Access online version
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000 i 4500
001 OTLid0000925
003 MnU
005 20240122190403.0
006 m o d s
007 cr
008 201019suuuu mnu o 0 0 eng d
040 |a MnU  |b eng  |c MnU 
050 4 |a QA76 
050 4 |a QA76 
050 4 |a QA1 
050 4 |a QA299.6-433 
245 0 0 |a First Semester in Numerical Analysis with Python  |c Yaning Liu 
264 2 |a Minneapolis, MN  |b Open Textbook Library 
264 1 |a Denver, Colorado  |b Auraria Institutional Repository 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Open textbook library. 
505 0 |a 1 Introduction -- 2 Solutions of equations: Root-finding -- 3 Interpolation -- 4 Numerical Quadrature and Differentiation -- 5 Approximation Theory 
520 0 |a 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. 
542 1 |f Attribution-NonCommercial-ShareAlike 
546 |a In English. 
588 0 |a Description based on online resource 
650 0 |a Computer Science  |v Textbooks 
650 0 |a Programming Languages  |v Textbooks 
650 0 |a Mathematics  |v Textbooks 
650 0 |a Analysis  |v Textbooks 
700 1 |a Liu, Yaning  |e author 
710 2 |a Open Textbook Library  |e distributor 
856 4 0 |u https://open.umn.edu/opentextbooks/textbooks/925  |z Access online version