Fundamentals of Numerical Computation – Julia Edition
Julia Edition
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42 519 Ft (40 495 Ft + 5% VAT)
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42 519 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher MP–SIA SIAM – Society for Industrial and Applied M
- Date of Publication 30 November 2022
- ISBN 9781611977004
- Binding Hardback
- No. of pages586 pages
- Size 258x177x38 mm
- Weight 1568 g
- Language English 416
Categories
Short description:
Julia is an open-source and fast-growing programming language for scientific computing that offers clarity and ease of use for beginners but also speed and power for advanced applications. Fundamentals of Numerical Computation: Julia Edition provides a complete solution for teaching Julia in the context of numerical methods.
MoreLong description:
Julia is an open-source and fast-growing programming language for scientific computing that offers clarity and ease of use for beginners but also speed and power for advanced applications. Fundamentals of Numerical Computation: Julia Edition provides a complete solution for teaching Julia in the context of numerical methods. It introduces the mathematics and use of algorithms for the fundamental problems of numerical computation: linear algebra, finding roots, approximating data and functions, and solving differential equations. A clear progression from simple to more advanced methods allows for use in either a one-semester course or a two-semester sequence.
The book includes
- more than 40 functions and 160 examples fully coded in Julia and available for download,
- online supplemental content including tested source materials for student projects and in-class labs related to every chapter, and
- over 600 exercises, evenly split between mathematical and computational work, and solutions to most exercises for instructors.