func _TestBKpivot1U(t *testing.T) {
Ldata := [][]float64{
[]float64{7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0},
[]float64{1.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0},
[]float64{1.0, 2.0, 5.0, 4.0, 3.0, 5.0, 1.0},
[]float64{1.0, 2.0, 3.0, 4.0, 3.0, 2.0, 1.0},
[]float64{1.0, 5.0, 3.0, 4.0, 3.0, 2.0, 1.0},
[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 2.0, 1.0},
[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 1.0}}
Bdata := [][]float64{
[]float64{10.0, 20.0},
[]float64{10.0, 20.0},
[]float64{10.0, 20.0},
[]float64{10.0, 20.0},
[]float64{10.0, 20.0},
[]float64{10.0, 20.0},
[]float64{10.0, 20.0}}
A := matrix.FloatMatrixFromTable(Ldata, matrix.RowOrder)
X := matrix.FloatMatrixFromTable(Bdata, matrix.RowOrder)
N := A.Rows()
B := matrix.FloatZeros(N, 2)
MultSym(B, A, X, 1.0, 0.0, UPPER|LEFT)
//t.Logf("initial B:\n%v\n", B)
//N := 8
//A := matrix.FloatUniformSymmetric(N)
W := matrix.FloatWithValue(A.Rows(), 5, 0.0)
nb := 0
ipiv := make([]int, N, N)
L, _ := DecomposeBK(A.Copy(), W, ipiv, UPPER, nb)
t.Logf("ipiv: %v\n", ipiv)
t.Logf("L:\n%v\n", L)
nb = 4
//ipiv0 := make([]int, N, N)
//L0, _ := DecomposeBK(A.Copy(), W, ipiv0, LOWER, nb)
//t.Logf("ipiv: %v\n", ipiv0)
//t.Logf("L:\n%v\n", L0)
//B0 := B.Copy()
//SolveBK(B0, L0, ipiv0, LOWER)
//t.Logf("B0:\n%v\n", B0)
ipiv2 := make([]int32, N, N)
lapack.SytrfFloat(A, ipiv2, linalg.OptUpper)
t.Logf("ipiv2: %v\n", ipiv2)
t.Logf("lapack A:\n%v\n", A)
//lapack.Sytrs(A, B, ipiv2, linalg.OptLower)
//t.Logf("lapack B:\n%v\n", B)
//t.Logf("B == B0: %v\n", B.AllClose(B0))
}
func ldlbkDecomposeUpperTest(A *matrix.FloatMatrix, t *testing.T) {
TriU(A)
N := A.Cols()
nb := 0
W := matrix.FloatZeros(A.Rows(), 5)
ipiv := make([]int, N, N)
L, _ := DecomposeBK(A.Copy(), W, ipiv, UPPER, nb)
t.Logf("L:\n%v\n", L)
t.Logf("unblked ipiv: %v\n", ipiv)
ipiv0 := make([]int, N, N)
nb = 4
L0, _ := DecomposeBK(A.Copy(), W, ipiv0, UPPER, nb)
t.Logf("L:\n%v\n", L0)
t.Logf("blked ipiv: %v\n", ipiv0)
ipiv2 := make([]int32, N, N)
lapack.SytrfFloat(A, ipiv2, linalg.OptUpper)
t.Logf("lapack A:\n%v\n", A)
t.Logf("lapack ipiv: %v\n", ipiv2)
}