Analysis of Numerical Measure and Numerical Integration Based on Measure
Author(s) -
Yinkun Wang,
Jianshu Luo,
Xiangling Chen
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/474089
Subject(s) - measure (data warehouse) , mathematics , numerical integration , lagrange polynomial , convergence (economics) , numerical analysis , interpolation (computer graphics) , singularity , function (biology) , mathematical analysis , computer science , polynomial , animation , computer graphics (images) , evolutionary biology , economics , biology , economic growth , database
We present a convergence analysis for a general numerical method to estimate measure function. By combining Lagrange interpolation, we propose a specific method for approximating the measure function and analyze the convergence order. Further, we analyze the error bound of numerical measure integration and prove that the numerical measure integration can decrease the singularity for singular integrals. Numerical examples are presented to confirm the theoretical results
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom