Sitewide Free Shipping - Limited Time Only - No Minimum Spend - T&C's Apply
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $0
Algorithms with JULIA : Optimization, Machine Learning, and Differential Equations Using the JULIA Language - Clemens Heitzinger

Algorithms with JULIA

Optimization, Machine Learning, and Differential Equations Using the JULIA Language

By: Clemens Heitzinger

eText | 12 December 2022

At a Glance

eText

$84.99

or 4 interest-free payments of $21.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation). JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system. Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.
on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionMathematicsCalculus & Mathematical AnalysisDifferential Calculus & EquationsNumerical Analysis

More in Calculus & Mathematical Analysis

Thinking in Calculus - Nick McIntyre

eBOOK

Thinking in Calculus

eBook

RRP $67.77

$54.99

19%
OFF
Alpha Calculus - Svetlin G. Georgiev

eTEXT

Alpha Calculus

eText

$375.10

By the numbers - Marvin Franklin

eBOOK

By the numbers

eBook

$5.99

This product is categorised by