XLPack 7.0
XLPack Numerical Library (Excel VBA) Reference Manual
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◆ Dposv()

Sub Dposv ( Uplo As  String,
N As  Long,
A() As  Double,
B() As  Double,
Info As  Long,
Optional Nrhs As  Long = 1 
)

(Simple driver) Solution to system of linear equations AX = B for a symmetric positive definite matrix

Purpose
This routine computes the solution to a real system of linear equations
A * X = B,
where A is an n x n symmetric positive definite matrix and X and B are n x nrhs matrices.

The Cholesky decomposition is used to factor A as
A = U^T*U, if Uplo = "U", or
A = L*L^T, if Uplo = "L",
where U is an upper triangular matrix and L is a lower triangular matrix. The factored form of A is then used to solve the system of equations A * X = B.
Parameters
[in]Uplo= "U": Upper triangle of A is stored.
= "L": Lower triangle of A is stored.
[in]NNumber of linear equations, i.e., order of the matrix A. (N >= 0) (If N = 0, returns without computation)
[in,out]A()Array A(LA1 - 1, LA2 - 1) (LA1 >= N, LA2 >= N)
[in] N x N symmetric positive definite matrix A. The upper or lower triangular part is to be referenced in accordance with Uplo.
[out] If Info = 0, the factor U or L from the Cholesky factorization A = U^T*U or A = L*L^T.
[in,out]B()Array B(LB1 - 1, LB2 - 1) (LB1 >= max(1, N), LB2 >= Nrhs) (2D array) or B(LB - 1) (LB >= max(1, N), Nrhs = 1) (1D array)
[in] N x Nrhs matrix of right hand side matrix B.
[out] If Info = 0, the N x Nrhs solution matrix X.
[out]Info= 0: Successful exit.
= -1: The argument Uplo had an illegal value. (Uplo <> "U" nor "L")
= -2: The argument N had an illegal value. (N < 0)
= -3: The argument A() is invalid.
= -4: The argument B() is invalid.
= -6: The argument Nrhs had an illegal value. (Nrhs < 0)
= i > 0: The leading minor of order i of A is not positive definite, so the factorization could not be completed, and the solution has not been computed.
[in]Nrhs(Optional)
Number of right hand sides, i.e., number of columns of the matrix B. (Nrhs >= 0) (If Nrhs = 0, returns without computation) (default = 1)
Reference
LAPACK
Example Program
Solve the system of linear equations Ax = B and estimate the reciprocal of the condition number (RCond) of A, where A is symmetric positive definite and
( 2.2 -0.11 -0.32 ) ( -1.566 )
A = ( -0.11 2.93 0.81 ), B = ( -2.8425 )
( -0.32 0.81 2.37 ) ( -1.1765 )
Sub Ex_Dposv()
Const N = 3
Dim A(N - 1, N - 1) As Double, B(N - 1) As Double
Dim ANorm As Double, RCond As Double, Info As Long
A(0, 0) = 2.2
A(1, 0) = -0.11: A(1, 1) = 2.93
A(2, 0) = -0.32: A(2, 1) = 0.81: A(2, 2) = 2.37:
B(0) = -1.566: B(1) = -2.8425: B(2) = -1.1765
ANorm = Dlansy("1", "L", N, A())
Call Dposv("L", N, A(), B(), Info)
If Info = 0 Then Call Dpocon("L", N, A(), ANorm, RCond, Info)
Debug.Print "X =", B(0), B(1), B(2)
Debug.Print "RCond =", RCond
Debug.Print "Info =", Info
End Sub
Function Dlansy(Norm As String, Byval Uplo As String, N As Long, A() As Double, Optional Info As Long) As Double
One norm, Frobenius norm, infinity norm, or largest absolute value of any element of a real symmetric...
Sub Dpocon(Uplo As String, N As Long, A() As Double, ANorm As Double, RCond As Double, Info As Long)
Condition number of a symmetric positive definite matrix
Sub Dposv(Uplo As String, N As Long, A() As Double, B() As Double, Info As Long, Optional Nrhs As Long=1)
(Simple driver) Solution to system of linear equations AX = B for a symmetric positive definite matri...
Example Results
X = -0.8 -0.92 -0.29
RCond = 0.446791078068956
Info = 0