Package jdistlib.math
Class LinPack
java.lang.Object
jdistlib.math.LinPack
Routines that I took from LINPACK library. So far, only dpbfa and dpbsl are taken. I hand-translated them from FORTRAN. I don't change the method names, just in case if you people are familiar with it already. Also, please pay attention to the parameter names. I removed all superfluous indices.
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic final intdpbfa(double[][] abd, int m) dpbfa factors a double precision symmetric positive definite matrix stored in band form.static final voiddpbsl(double[][] abd, int m, double[] b) dpbsl solves the double precision symmetric positive definite band system a*x = b using the factors computed by dpbco or dpbfa.
-
Constructor Details
-
LinPack
public LinPack()
-
-
Method Details
-
dpbsl
public static final void dpbsl(double[][] abd, int m, double[] b) dpbsl solves the double precision symmetric positive definite band system a*x = b using the factors computed by dpbco or dpbfa.
(Taken from LINPACK_D)
On return
error condition a division by zero will occur if the input factor contains a zero on the diagonal. technically this indicates singularity but it is usually caused by improper subroutine arguments. it will not occur if the subroutines are called correctly and info == 0 . to compute inverse(a) * c where c is a matrix with p columns call dpbco(abd,lda,n,rcond,z,info) if (rcond is too small .or. info .ne. 0) go to ... do 10 j = 1, p call dpbsl(abd,lda,n,c(1,j)) 10 continue linpack. this version dated 08/14/78 cleve moler, university of new mexico, argonne national lab.- Parameters:
abd- Banded matrix. (the output from dpbco or dpbfa)m- Band width (the number of diagonals above the main diagonal)b- the Y vector. Holds the output after the routine ends. (the right hand side vector)
-
dpbfa
public static final int dpbfa(double[][] abd, int m) dpbfa factors a double precision symmetric positive definite matrix stored in band form.
dpbfa is usually called by dpbco, but it can be called directly with a saving in time if rcond is not needed.
(Taken from LINPACK_D)
on entry abd double precision(lda, n) the matrix to be factored. the columns of the upper triangle are stored in the columns of abd and the diagonals of the upper triangle are stored in the rows of abd . see the comments below for details. lda integer the leading dimension of the array abd. lda must be >= m + 1 n integer the order of the matrix a . m integer the number of diagonals above the main diagonal. 0 <= m < n on return abd an upper triangular matrix r , stored in band form, so that a = trans(r)*r . info integer = 0 for normal return. = k if the leading minor of order k is not positive definite. band storage if a is a symmetric positive definite band matrix, the following program segment will set up the input. m = (band width above diagonal) do 20 j = 1, n i1 = max0(1, j-m) do 10 i = i1, j k = i-j+m+1 abd(k,j) = a(i,j) 10 continue 20 continue linpack. this version dated 08/14/78 . cleve moler, university of new mexico, argonne national lab. begin block with ...exits to 40- Parameters:
abd- Banded matrixm- Band width
-