Description: Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. The style is friendly and approachable and cartoon characters guide the way.Inside this book, readers will finddetailed descriptions of algorithms,implementations in Julia that illustrate concepts and allow readers to explore methods on their own, andillustrations and graphics that emphasize core concepts and demonstrate algorithms. Numerical Linear Algebra with Julia is a textbook for undergraduate and graduate students. It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. The book may also serve as a reference for researchers in various fields such as computational engineering, statistics, data-science, and machine learning, who depend on numerical solvers in linear algebra.
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Location: Hillsdale, NSW
End Time: 2024-11-04T23:22:29.000Z
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EAN: 9781611976540
UPC: 9781611976540
ISBN: 9781611976540
MPN: N/A
Book Title: Numerical Linear Algebra with Julia (Other Titles
Item Height: 3 cm
Item Length: 25.7 cm
Item Weight: 0.87 kg
Item Width: 17.9 cm
Number of Pages: 277 Pages
Publication Name: Numerical Linear Algebra with Julia
Language: English
Publisher: Society for Industrial AND Applied Mathematics
Publication Year: 2021
Subject: General
Type: Textbook
Author: Mary Wootters, Eric Darve
Subject Area: Mathematics
Series: Other Titles in Applied Mathematics Ser.
Format: Trade Paperback
