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Numerical Linear Algebra with Julia : Other Titles in Applied Mathematics - Eric Darve

Numerical Linear Algebra with Julia

By: Eric Darve, Mary Wootters

Paperback | 28 February 2022

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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 find
  • detailed descriptions of algorithms,
  • implementations in Julia that illustrate concepts and allow readers to explore methods on their own, and
  • illustrations 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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