Polynomial and Spline Approximation

Polynomial and Spline Approximation
Author :
Publisher : Springer
Total Pages : 344
Release :
ISBN-10 : UCAL:B5008706
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Polynomial and Spline Approximation by : B.N. Sahney

Download or read book Polynomial and Spline Approximation written by B.N. Sahney and published by Springer. This book was released on 1979-05-31 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Calgary, Canada, August 26-September 2, 1978


Polynomial and Spline Approximation Related Books

Methods Of Shape-preserving Spline Approximation
Language: en
Pages: 356
Authors: Boris I Kvasov
Categories: Mathematics
Type: BOOK - Published: 2000-07-24 - Publisher: World Scientific

DOWNLOAD EBOOK

This book aims to develop algorithms of shape-preserving spline approximation for curves/surfaces with automatic choice of the tension parameters. The resulting
Polynomial and Spline Approximation
Language: en
Pages: 344
Authors: B.N. Sahney
Categories: Mathematics
Type: BOOK - Published: 1979-05-31 - Publisher: Springer

DOWNLOAD EBOOK

Proceedings of the NATO Advanced Study Institute, Calgary, Canada, August 26-September 2, 1978
The Theory of Splines and Their Applications
Language: en
Pages: 304
Authors: J. Harold Ahlberg
Categories: Spline theory
Type: BOOK - Published: 1967 - Publisher:

DOWNLOAD EBOOK

The theory of splines and their applications.
Interpolating Cubic Splines
Language: en
Pages: 247
Authors: Gary D. Knott
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

A spline is a thin flexible strip composed of a material such as bamboo or steel that can be bent to pass through or near given points in the plane, or in 3-spa
Handbook of Nature-Inspired and Innovative Computing
Language: en
Pages: 0
Authors: Albert Y. Zomaya
Categories: Computers
Type: BOOK - Published: 2008-11-01 - Publisher: Springer

DOWNLOAD EBOOK

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks,