예제 #1
0
func _TestPartition1Dh(t *testing.T) {
	var AL, AR, A0, a1, A2 matrix.FloatMatrix
	A := matrix.FloatZeros(1, 6)
	partition1x2(&AL, &AR, A, 0, pRIGHT)
	t.Logf("m(AL)=%d, m(AR)=%d\n", AL.Cols(), AR.Cols())
	for AL.Cols() < A.Cols() {
		AR.Add(1.0)
		t.Logf("m(AR)=%d; %v\n", AR.Cols(), AR)
		repartition1x2to1x3(&AL, &A0, &a1, &A2, A, 1, pRIGHT)
		t.Logf("m(A0)=%d, m(A2)=%d, a1=%.1f\n", A0.Cols(), A2.Cols(), a1.Float())
		continue1x3to1x2(&AL, &AR, &A0, &a1, A, pRIGHT)
	}
}
예제 #2
0
func _TestPartition2D(t *testing.T) {
	var ATL, ATR, ABL, ABR, As matrix.FloatMatrix
	var A00, a01, A02, a10, a11, a12, A20, a21, A22 matrix.FloatMatrix

	A := matrix.FloatZeros(6, 6)
	As.SubMatrixOf(A, 1, 1, 4, 4)
	As.SetIndexes(1.0)
	partition2x2(&ATL, &ATR, &ABL, &ABR, &As, 0)
	t.Logf("ATL:\n%v\n", &ATL)

	for ATL.Rows() < As.Rows() {
		repartition2x2to3x3(&ATL,
			&A00, &a01, &A02,
			&a10, &a11, &a12,
			&A20, &a21, &A22, &As, 1)
		t.Logf("m(a12)=%d [%d], m(a11)=%d\n", a12.Cols(), a12.NumElements(), a11.NumElements())
		a11.Add(1.0)
		a21.Add(-2.0)

		continue3x3to2x2(&ATL, &ATR, &ABL, &ABR, &A00, &a11, &A22, &As)
	}
	t.Logf("A:\n%v\n", A)
}
예제 #3
0
파일: lu.go 프로젝트: hrautila/matops
// unblocked LU decomposition with pivots: FLAME LU variant 3
func unblockedLUpiv(A *matrix.FloatMatrix, p *pPivots) error {
	var err error
	var ATL, ATR, ABL, ABR matrix.FloatMatrix
	var A00, a01, A02, a10, a11, a12, A20, a21, A22 matrix.FloatMatrix
	var AL, AR, A0, a1, A2, aB1, AB0 matrix.FloatMatrix
	var pT, pB, p0, p1, p2 pPivots

	err = nil
	partition2x2(
		&ATL, &ATR,
		&ABL, &ABR, A, 0, 0, pTOPLEFT)
	partition1x2(
		&AL, &AR, A, 0, pLEFT)
	partitionPivot2x1(
		&pT,
		&pB, p, 0, pTOP)

	for ATL.Rows() < A.Rows() && ATL.Cols() < A.Cols() {
		repartition2x2to3x3(&ATL,
			&A00, &a01, &A02,
			&a10, &a11, &a12,
			&A20, &a21, &A22 /**/, A, 1, pBOTTOMRIGHT)
		repartition1x2to1x3(&AL,
			&A0, &a1, &A2 /**/, A, 1, pRIGHT)
		repartPivot2x1to3x1(&pT,
			&p0, &p1, &p2 /**/, p, 1, pBOTTOM)

		// apply previously computed pivots
		applyPivots(&a1, &p0)

		// a01 = trilu(A00) \ a01 (TRSV)
		MVSolveTrm(&a01, &A00, 1.0, LOWER|UNIT)
		// a11 = a11 - a10 *a01
		a11.Add(Dot(&a10, &a01, -1.0))
		// a21 = a21 -A20*a01
		MVMult(&a21, &A20, &a01, -1.0, 1.0, NOTRANS)

		// pivot index on current column [a11, a21].T
		aB1.SubMatrixOf(&ABR, 0, 0, ABR.Rows(), 1)
		pivotIndex(&aB1, &p1)

		// pivots to current column
		applyPivots(&aB1, &p1)

		// a21 = a21 / a11
		InvScale(&a21, a11.Float())

		// apply pivots to previous columns
		AB0.SubMatrixOf(&ABL, 0, 0)
		applyPivots(&AB0, &p1)
		// scale last pivots to origin matrix row numbers
		p1.pivots[0] += ATL.Rows()

		continue3x3to2x2(
			&ATL, &ATR,
			&ABL, &ABR, &A00, &a11, &A22, A, pBOTTOMRIGHT)
		continue1x3to1x2(
			&AL, &AR, &A0, &a1, A, pRIGHT)
		contPivot3x1to2x1(
			&pT,
			&pB, &p0, &p1, p, pBOTTOM)
	}
	if ATL.Cols() < A.Cols() {
		applyPivots(&ATR, p)
		SolveTrm(&ATR, &ATL, 1.0, LEFT|UNIT|LOWER)
	}
	return err
}