£77.20

Fundamentals of Numerical Computation: Julia Edition

Applied Mathematics

Price data last checked 90 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 1 days • 1 data points (No recent data available)

Historical

Generating forecast...

Not enough data points to display chart (need at least 2 points)

Price Distribution

Price distribution over 1 days • 1 price levels

Days at Price

Price Analysis

Most common price: £77 (1 days, 100.0%)

Price range: £77 - £77

Price levels: 1 different prices over 1 days

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.

Product Specifications

Format: Hardcover
ASIN: 1611977002
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 30 November 2022
Listed Since: 27 May 2022

Barcode

No barcode data available

Fundamentals of Numerical Computation: Julia Edition

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language

Numerical Linear Algebra with Julia (Other Titles in Applied Mathematics)

Fundamentals of Numerical Computation

Julia as a Second Language: General Purpose Programming with a Taste of Data Science

Practical Julia: A Hands-On Introduction for Scientific Minds

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence (Springer Series in the Data Sciences)

Methods in Computational Science (Computational Science and Engineering)

Introduction to Modern Scientific Programming and Numerical Methods

Julia - Bit by Bit: Programming for Beginners (Undergraduate Topics in Computer Science)

Numerical Analysis: Theory and Experiments

Numerical Analysis: Mathematics of Scientific Computing (Pure and Applied Undergraduate Texts)

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques

Scientific Computing: Vol. I - Linear and Nonlinear Equations: 18 (Texts in Computational Science and Engineering, 18)

Data Science with Julia

Numerical Analysis for Applied Science (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)

Numerical Computation in Science and Engineering

Introduction To Numerical Computation, An (Second Edition)

Fundamentals of Computational Methods for Engineers

Explorations In Numerical Analysis

Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

Computational Discovery on Jupyter

An Introduction to Numerical Methods and Analysis

Introduction to the Tools of Scientific Computing: 25 (Texts in Computational Science and Engineering, 25)

Numerical Analysis and Scientific Computation (Textbooks in Mathematics)