Numerical Linear Algebra with Julia - Rilegato

Eric Darve (author) & Mary Wootters (author)

Rilegato

ISBN 10: 1611976545 ISBN 13: 9781611976540

Casa editrice: River Publishers, 2021

Riassunto

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.

Dettagli dell'edizione

• Editore: River Publishers
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1611976545
• ISBN 13: 9781611976540
• Rilegatura: Copertina rigida
• Numero di pagine: 277
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile