£54.27

About as cheap as it gets — within 5% of the all-time low it hit 2 months ago.

£54 today · all-time low £54 (Aug 2026) · usually £54

World Scientific Publishing Company Explorations In Numerical Analysis: Python Edition

View at Amazon

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 68 days · 68 data points (no recent data)

Historical
Generating forecast…
£54.30 £54.19 £54.21 £54.24 £54.26 £54.29 £54.31 25 July 2026 10 August 2026 27 August 2026 13 September 2026 30 September 2026
View at Amazon ↗

Price data last checked 23 day(s) ago - will refresh soon

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↑ Price chart
when this has been cheap or pricey
↑ Forecast
where the price is heading next
↓ Statistics
all-time high & low, recent range
↑ Price alert
name your number, we'll email you

Price Distribution

Price distribution over 68 days • 1 price levels

Days at Price
68 days 0 17 34 51 68 £54 Days at Price

Price Analysis

Most common price: £54 (68 days, 100.0%)

Price range: £54 - £54

Price levels: 1 different prices over 68 days

Description

This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations. Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language. This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 January 2021
Listed Since
10 September 2020

Barcode

No barcode data available