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Fundamentals of Numerical Computation - Julia Edition (Hardcover) Loot Price: R2,549
Discovery Miles 25 490
You Save: R288 (10%)
Fundamentals of Numerical Computation - Julia Edition (Hardcover): Tobin A. Driscoll, Richard J. Braun

Fundamentals of Numerical Computation - Julia Edition (Hardcover)

Tobin A. Driscoll, Richard J. Braun

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Was R2,837 Loot Price R2,549 Discovery Miles 25 490 | Repayment Terms: R239 pm x 12* You Save R288 (10%)

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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.

General

Imprint: Society For Industrial & Applied Mathematics,U.S.
Country of origin: United States
Release date: March 2022
Authors: Tobin A. Driscoll • Richard J. Braun
Dimensions: 187 x 262 x 40mm (L x W x T)
Format: Hardcover
Pages: 586
ISBN-13: 978-1-61197-700-4
Categories: Books > Computing & IT > General
Books > Professional & Technical > Technology: general issues > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Infinite series
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 1-61197-700-2
Barcode: 9781611977004

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