Fitting Smooth Functions to Data

Fitting Smooth Functions to Data
Author :
Publisher : American Mathematical Soc.
Total Pages : 160
Release :
ISBN-10 : 9781470461300
ISBN-13 : 1470461307
Rating : 4/5 (307 Downloads)

Book Synopsis Fitting Smooth Functions to Data by : Charles Fefferman

Download or read book Fitting Smooth Functions to Data written by Charles Fefferman and published by American Mathematical Soc.. This book was released on 2020-10-27 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introductory text that charts the recent developments in the area of Whitney-type extension problems and the mathematical aspects of interpolation of data. It provides a detailed tour of a new and active area of mathematical research. In each section, the authors focus on a different key insight in the theory. The book motivates the more technical aspects of the theory through a set of illustrative examples. The results include the solution of Whitney's problem, an efficient algorithm for a finite version, and analogues for Hölder and Sobolev spaces in place of Cm. The target audience consists of graduate students and junior faculty in mathematics and computer science who are familiar with point set topology, as well as measure and integration theory. The book is based on lectures presented at the CBMS regional workshop held at the University of Texas at Austin in the summer of 2019.

Fitting Smooth Functions to Data Related Books

Fitting Smooth Functions to Data
Language: en
Pages: 160
Authors: Charles Fefferman
Categories: Education
Type: BOOK - Published: 2020-10-27 - Publisher: American Mathematical Soc.

GET EBOOK

This book is an introductory text that charts the recent developments in the area of Whitney-type extension problems and the mathematical aspects of interpolati
Fitting Smooth Functions to Data
Language: en
Pages:
Authors: Charles Fefferman
Categories: Electronic books
Type: BOOK - Published: 2020 - Publisher:

GET EBOOK

This book is an introductory text that charts the recent developments in the area of Whitney-type extension problems and the mathematical aspects of interpolati
Introduction to Data Science
Language: en
Pages: 836
Authors: Rafael A. Irizarry
Categories: Mathematics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

GET EBOOK

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis ch
Functional Data Analysis
Language: en
Pages: 464
Authors: James Ramsay
Categories: Mathematics
Type: BOOK - Published: 2005-06-08 - Publisher: Springer Science & Business Media

GET EBOOK

This is the second edition of a highly succesful book which has sold nearly 3000 copies world wide since its publication in 1997. Many chapters will be rewritte
Fitting Models to Biological Data Using Linear and Nonlinear Regression
Language: en
Pages: 352
Authors: Harvey Motulsky
Categories: Mathematics
Type: BOOK - Published: 2004-05-27 - Publisher: Oxford University Press

GET EBOOK

Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by th