We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£51.81
CRC Press Numerical Linear Approximation in C (Chapman & Hall/Crc Numerical Analysis and Scientific Computing)
Price data last checked 72 day(s) ago - refreshing...
Price History & Forecast
Last 19 days • 19 data points (No recent data available)
Price Distribution
Price distribution over 19 days • 1 price levels
Price Analysis
Most common price: £52 (19 days, 100.0%)
Price range: £52 - £52
Price levels: 1 different prices over 19 days
Description
Product Description Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined systems of consistent linear equations that are subject to different constraints on the elements of the unknown solution vector. Except in the preliminary section, all chapters include the C functions of the algorithms, along with drivers that contain numerous test case examples and results. The accompanying CD-ROM also provides the algorithms written in C code as well as the test drivers. To use the software, it is not required to understand the theory behind each function. About the Author Abdelmalek, Nabih; Malek, William A.
Product Specifications
- Brand
- CRC Press
- Format
- paperback
- ASIN
- 036738731X
- Domain
- Amazon UK
- Release Date
- 23 October 2019
- Listed Since
- 08 August 2019
Barcode
No barcode data available