
Kronecker Product Operations to Find Functions of Higher Dimensions Using Least Squares Method
Author(s) -
Sudad Ibraheem,
Amaal Mohammed
Publication year - 2021
Publication title -
magallaẗ kulliyyaẗ al-rāfidayn al-ǧāmi'aẗ al-'ulūm/maǧallaẗ kulliyyaẗ al-rāfidayn al-ǧāmiʻaẗ li-l-ʻulūm
Language(s) - English
Resource type - Journals
eISSN - 2790-2293
pISSN - 1681-6870
DOI - 10.55562/jrucs.v31i1.347
Subject(s) - kronecker delta , kronecker product , interpolation (computer graphics) , product (mathematics) , function (biology) , mathematics , square (algebra) , least squares function approximation , algorithm , computer science , statistics , artificial intelligence , geometry , motion (physics) , physics , quantum mechanics , evolutionary biology , estimator , biology
In this work, we have describe the application of kronecker product operation to interpolation the functions of higher dimensions ( 3 and 4-variables function) by using least square method . Several examples are given to illustrate which is used to define and specialize the method. A comparison between the exact function and interpolation function depending on least square errors.