scholarly journals Pressure Change Leak Detection Based on Lagrange Interpolation Formula

2017 ◽  
Vol 10 (5) ◽  
pp. 338-343 ◽  
Author(s):  
Masatsugu OHNO ◽  
Kei NAKATSUMA ◽  
Yasutaka OHSHIMA ◽  
Ippei TORIGOE
Keyword(s):  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Pressure Change ◽  
Leak Detection ◽  
Lagrange Interpolation Formula

scholarly journals Approximate Solution Technique for Singular Fredholm Integral Equations of the First Kind with Oscillatory Kernels

2019 ◽  
pp. 1-9
Author(s):  
Vivian Ndfutu Nfor ◽  
George Emese Okecka
Keyword(s):  
Approximate Solution ◽  
Integral Equations ◽  
Legendre Polynomials ◽  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Verification And Validation ◽  
Solution Technique ◽  
Fredholm Integral Equations ◽  
Lagrange Interpolation Formula ◽  
Interpolation Nodes

An efficient quadrature formula was developed for evaluating numerically certain singular Fredholm integral equations of the first kind with oscillatory trigonometric kernels.  The method is based on the Lagrange interpolation formula and the orthogonal polynomial considered are the Legendre polynomials whose zeros served as interpolation nodes. A test example was provided for the verification and validation of the rule developed. The results showed the convergence of the solution and can be improved by increasing n.

scholarly journals Bivariate Interpolation in Rectangular Form

2020 ◽  
pp. 329-335
Author(s):  
Daw San San Nwe ◽  
Daw Hla Yin Moe ◽  
Daw Zin Nwe Khaing
Keyword(s):  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Single Variable ◽  
Bivariate Interpolation ◽  
Independent Variables ◽  
Rectangular Form ◽  
Lagrange Interpolation Formula ◽  
Independent Variable ◽  
Two Independent Variables

The purpose of this paper is to derive lagrange interpolation formula for a single variable and two independent variables. Firstly, single variable interpolation is derived and then two independent variable interpolation derived. Some practical problems are computed by virtue of these interpolation formula.

scholarly journals Bivariate Interpolation in Triangular Form

2020 ◽  
pp. 219-227
Author(s):  
Daw San San Nwe ◽  
Daw Hla Yin Moe ◽  
Daw Lin Lin Aye ◽  
Daw Zin Nwe Khaing
Keyword(s):  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Single Variable ◽  
Bivariate Interpolation ◽  
Triangular Form ◽  
Independent Variables ◽  
Lagrange Interpolation Formula ◽  
Independent Variable ◽  
Two Independent Variables

The purpose of this paper is to derive lagrange interpolation formula for a single variable and two independent variables in triangular form. Firstly, single variable interpolation is derived and then two independent variable interpolation derived in triangular form. In this paper, we derived the formula of three points of fit approximation, six points of fit approximation and ten points of fit approximation with their examples respectively. And also derived the approximation using a general triangular form of points with examples.

scholarly journals Scattered data points best interpolation as a problem of the best recovery in the sense of Sard

Filomat ◽  
2009 ◽  
Vol 23 (2) ◽  
pp. 28-33
Author(s):  
Natasha Danailova
Keyword(s):  
Lagrange Interpolation ◽  
Linear Functional ◽  
Interpolation Formula ◽  
Scattered Data ◽  
The Best Approximation ◽  
Software Product ◽  
Data Points ◽  
Lagrange Interpolation Formula ◽  
The Difference ◽  
Bivariate Functions

The problem of the best recovery in the sense of Sard of a linear functional Lf on the basis of information T(f) = {Ljf,j = 1, 2,... N} is studied. It is shown that in the class of bivariate functions with restricted (n,m) -derivative, known on the (n,m)-grid lines, the problem of the best recovery of a linear functional leads to the best approximation of L(KnKm) in the space S = span Lj(Kn_Km), j=1; 2,...N}, where Kn(x,t) = K(x,t)- Lxn(K(.,t):x) is the difference between the truncated power kernel K(x,t) = (x-t)n-1+ =(n-1)! and its Lagrange interpolation formula. In particular, the best recovery of a bivariate function is considered, if scattered data points and blending grid are given. An algorithm is designed and realized using the software product MATLAB.

Sign in / Sign up

Export Citation Format

Share Document