Symbolic Algorithm for Mixed Interpolation Problem

Srinivasarao Thota

ISBN 10: 6204209329 / ISBN 13: 9786204209326

Published by LAP LAMBERT Academic Publishing Okt 2021, 2021

About this Item

Neuware -Symbolic computation is playing the central role to solve the mathematical equations, especially the boundary value problems for differential equations. The symbolic computation is an important tool in scientific field, which is also known as computer algebra. In twenty-th century, the science and technology had a very swift progress in various fields, especially in computing, the subfield of scientific and technological computing. One of the biggest successes in the research of symbolic computation is the development of significant software systems. In some applications, for example the orbit problems, quantum mechanical problems and solving differential and integral equations (second kind of Fredholm) numerically, it is appropriate to consider mixed interpolation instead of polynomial interpolation. Polynomial interpolation problem will become a special case of the mixed interpolation problem if we replace the certain terms of the mixed interpolation problem. This book extends the theory of mixed interpolation to the situation where the interpolation conditions are not only of the functional or differential type, but also of the integral type.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.

Seller Inventory # 9786204209326

Bibliographic Details

• Title: Symbolic Algorithm for Mixed Interpolation Problem
• Publisher: LAP LAMBERT Academic Publishing Okt 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 6204209329
• ISBN 13: 9786204209326
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Symbolic computation is playing the central role to solve the mathematical equations, especially the boundary value problems for differential equations. The symbolic computation is an important tool in scientific field, which is also known as computer algebra. In twenty-th century, the science and technology had a very swift progress in various fields, especially in computing, the subfield of scientific and technological computing. One of the biggest successes in the research of symbolic computation is the development of significant software systems. In some applications, for example the orbit problems, quantum mechanical problems and solving differential and integral equations (second kind of Fredholm) numerically, it is appropriate to consider mixed interpolation instead of polynomial interpolation. Polynomial interpolation problem will become a special case of the mixed interpolation problem if we replace the certain terms of the mixed interpolation problem. This book extends the theory of mixed interpolation to the situation where the interpolation conditions are not only of the functional or differential type, but also of the integral type.