PROGRAMS CONCERNING MATRICES IN C/C++

Choose a source program (*.cpp) by clicking the appropriate button.

BASIS.H BASIS_R.CPP SYSMAT.H SYSMAT.CPP SYSMAT.TXT TDLITTL.CPP TLINEAR.CPP TLINEAR.TXT LU.CPP TEST_LU.CPP NSBSLV.CPP INV_LU.CPP HOUSEHOLDER.CPP LU.TXT FBAND.CPP FBANDO.CPP TBAND.CPP CG.H CG.CPP CGTST1.CPP TSPARSE.CPP SYSLIN.CPP TSYMSOL.CPP FCHOLY.H FCHOLY.CPP TCHOLY.CPP CHOLES.CPP FSEIDEL.CPP FSEIDEL.TXT TSEIDEL2.CPP DPLE.CPP DETER.CPP DETER1.CPP MAT10.DAT DETER2.CPP TFINDDET.CPP CARPOL.CPP UCOMPLEX1.H UCOMPLEX1.CPP CARPOL1.CPP CARPOL2.CPP CARPOL3.CPP TRIDIAG.CPP TSVBKSB.CPP TPWM.CPP TPWIMGT.CPP UJACOBI.CPP TUJACOBI.CPP ELPROTD.PDF ELPROTD.CPP TTQL2.CPP ELPRO.CPP TTRED2.CPP TEST_HQR.CPP FEIGEN.CPP TEST1_HQR.CPP TEPHJ.CPP TVANDER.CPP TOEPLITZ.CPP VMBLOCK.H VMBLOCK.CPP

Program Description Header file called by program below Basic routines for programs concerning matrices Header file called by program below Solving a linear matrix system AX=B by Gauss-Jordan Method Explanation File of program above (Sysmat) Solve a Linear System By Direct Factorization Solve a Linear System By Triangularization Method Explanation File of Program above (Tlinear) LU decomposition routines called by program below Solving a linear matrix system AX=B By LU decomposition Solving a banded linear system AX=B By LU decomposition Inversion of a real square matrix by LU decomposition Inversion of a real square matrix by Householder's method NEW Explanation File of LU Method NEW Linear banded system using pivots Linear banded system without using pivots Solving a linear matrix system AX=B for a band matrix Header file called by program below Solving a symmetric linear system by Conjugate Gradient method Demonstration program of Conjugate Gradient method Conjugate Gradient method for a sparse symmetric linear system Solving a symmetric linear system by Gauss method Solving a symmetric linear system by SYMSOL Header file called by program below Cholesky method routines called by program below Solving a symmetric linear system by Cholesky method Inversion of a symmetric positive definite matrix by Cholesky method Function Seidel used by program below Explanation File for iterative Gauss Seidel method NEW Solve a linear system by iterative Gauss Seidel method Solve AX = B using a partial pivoting algorithm and reduced storage Determinant of a real square matrix by Gauss method Determinant of a real square matrix by LU decomposition method Example data file for program below Determinant of a real square matrix by a recursive method based on Kramer's rule Calculate the determinant of a real square matrix using Function FindDet NEW Characteristic polynomial of a real square tridiagonal matrix Header file of module below Module concerning complex numbers used by program below Characteristic polynomial of a complex square matrix Characteristic polynomial of a real square matrix Characteristic polynomial of a real symmetric square matrix Solving a tridiagonal linear system Solving a linear system AX=B by the Singular Value Decomposition Method Greatest eigenvalue of a real square matrix by the power method Smallest eigenvalue of a real square matrix by the Gauss and power methods Function Jacobi used by program below Eigenvalues and eigenvectors of a real symmetric square matrix by Jacobi's method Explanation file of program below(ELPROTD) NEW Eigenvalues and eigenvectors of a real tridiagonal square matrix Find Eigenvalues and Eigenvectors of a symmetric tridiagonal matrix using QL method Eigenvalues and eigenvectors of a real square matrix by Rutishauser's method and inverse iteration method Find Eigenvalues and Eigenvectors of a symmetric real matrix using Householder reduction and QL method Eigenvalues of a non symmetric real matrix by HQR algorithm Module used by program below Eigenvalues and eigenvectors of a non symmetric real matrix by HQR algorithm Calculate eigenvalues and eigenvectors of a Square Hermitian Matrix By Jacobi's Method Solve a Vandermonde linear system NEW Solve a Toeplitz linear system NEW Header file called by program below Routines to dynamically allocate matrices and vectors used by programs concerning matrices

RETURN