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In numerical linear algebra, the tridiagonal matrix algorithm, also known as the Thomas algorithm (named after Llewellyn Thomas), is a simplified form of Gaussian elimination that can be used to solve tridiagonal systems of equations.
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In numerical linear algebra, the tridiagonal matrix algorithm, also known as the Thomas algorithm (named after Llewellyn Thomas), is a simplified form of Gaussian elimination that can be used to solve tridiagonal systems of equations. A tridiagonal system for n unknowns may be written as
npm install tdma
Using coefficientMatrix
consttdma=require('tdma');constcoefficientMatrix=[[2,3,0,0],[6,3,9,0],[0,2,5,2],[0,0,4,3]];constrigthHandSideVector=[21,69,34,22];constanswer=tdma.solver(coefficientMatrix,rigthHandSideVector);console.log(answer);
Using Diagonals
consttdma=require('tdma');consta=[0,6,2,4];constb=[2,3,5,3];constc=[3,9,2,0];constd=[21,69,34,22];constanswer=tdma.tdma(a,b,c,d);console.log(answer);
The forward sweep consists of modifying the coefficients as follows, denoting the new coefficients with primes:
and
The solution is then obtained by back substitution:
The method above preserves the original coefficient vectors. If this is not required, then a much simpler form of the algorithm is
followed by the back substitution
Reference:https://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm
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In numerical linear algebra, the tridiagonal matrix algorithm, also known as the Thomas algorithm (named after Llewellyn Thomas), is a simplified form of Gaussian elimination that can be used to solve tridiagonal systems of equations.
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