func mNormInf(A *cmat.FloatMatrix) float64 {
var amax float64 = 0.0
var row cmat.FloatMatrix
arows, _ := A.Size()
for k := 0; k < arows; k++ {
row.Row(A, k)
rmax := blasd.ASum(&row)
if rmax > amax {
amax = rmax
}
}
return amax
}
func mNorm1(A *cmat.FloatMatrix) float64 {
var amax float64 = 0.0
var col cmat.FloatMatrix
_, acols := A.Size()
for k := 0; k < acols; k++ {
col.Column(A, k)
cmax := blasd.ASum(&col)
if cmax > amax {
amax = cmax
}
}
return amax
}
/*
* Compute matrix and vector norms.
*
* Arguments
* X A real valued matrix or vector
*
* norm Norm to compute
* NORM_ONE, NORM_TWO, NORM_INF
*
* Note: matrix NORM_TWO not yet implemented.
*/
func NormP(X *cmat.FloatMatrix, norm Norms) float64 {
if X.IsVector() {
switch norm {
case NORM_ONE:
return blasd.ASum(X)
case NORM_TWO:
return blasd.Nrm2(X)
case NORM_INF:
return blasd.Amax(X)
}
return 0.0
}
switch norm {
case NORM_ONE:
return mNorm1(X)
case NORM_TWO:
return 0.0
case NORM_INF:
return mNormInf(X)
}
return 0.0
}
