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Golang matrix.FloatNormal函數代碼示例

本文整理匯總了Golang中github.com/henrylee2cn/algorithm/matrix.FloatNormal函數的典型用法代碼示例。如果您正苦於以下問題：Golang FloatNormal函數的具體用法？Golang FloatNormal怎麽用？Golang FloatNormal使用的例子？那麽, 這裏精選的函數代碼示例或許可以為您提供幫助。


在下文中一共展示了FloatNormal函數的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Golang代碼示例。

示例1: _TestMultMV

func _TestMultMV(t *testing.T) {
	bM := 100 * M
	bN := 100 * N
	A := matrix.FloatNormal(bM, bN)
	X := matrix.FloatNormal(bN, 1)
	Y1 := matrix.FloatZeros(bM, 1)
	Y0 := matrix.FloatZeros(bM, 1)

	Ar := A.FloatArray()
	Xr := X.FloatArray()
	Y1r := Y1.FloatArray()

	blas.GemvFloat(A, X, Y0, 1.0, 1.0)

	DMultMV(Y1r, Ar, Xr, 1.0, 1.0, NOTRANS, 1, A.LeadingIndex(), 1, 0, bN, 0, bM, 32, 32)
	t.Logf("Y0 == Y1: %v\n", Y0.AllClose(Y1))
	/*
	   if ! Y0.AllClose(Y1) {
	       y0 := Y0.SubMatrix(0, 0, 2, 1)
	       y1 := Y1.SubMatrix(0, 0, 2, 1)
	       t.Logf("y0=\n%v\n", y0)
	       t.Logf("y1=\n%v\n", y1)
	   }
	*/
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:25，代碼來源:tmult_test.go

示例2: CTestGemv

func CTestGemv(m, n, p int) (fnc func(), A, X, Y *matrix.FloatMatrix) {
	A = matrix.FloatNormal(m, n)
	X = matrix.FloatNormal(n, 1)
	Y = matrix.FloatZeros(m, 1)
	fnc = func() {
		blas.GemvFloat(A, X, Y, 1.0, 1.0)
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mvperf.go

示例3: TestTemplate

func TestTemplate(m, n, p int) (fnc func(), A, X, Y *matrix.FloatMatrix) {
	A = matrix.FloatNormal(m, n)
	X = matrix.FloatNormal(n, 1)
	Y = matrix.FloatZeros(m, 1)
	fnc = func() {
		// test core here
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mvperf.go

示例4: TestTemplate

func TestTemplate(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormal(m, p)
	B = matrix.FloatNormal(p, n)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		// test core here
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mmperf.go

示例5: MMTestMultTransAB

func MMTestMultTransAB(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormal(p, m)
	B = matrix.FloatNormal(n, p)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		matops.Mult(C, A, B, 1.0, 1.0, matops.TRANSA|matops.TRANSB)
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mmperf.go

示例6: MMTestMult

func MMTestMult(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormal(m, p)
	B = matrix.FloatNormal(p, n)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		matops.Mult(C, A, B, 1.0, 1.0, matops.NOTRANS)
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mmperf.go

示例7: CTestMVMultTransA

func CTestMVMultTransA(m, n, p int) (fnc func(), A, X, Y *matrix.FloatMatrix) {
	A = matrix.FloatNormal(n, m)
	X = matrix.FloatNormal(n, 1)
	Y = matrix.FloatZeros(m, 1)
	fnc = func() {
		matops.MVMultTransA(Y, A, X, 1.0, 1.0)
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:mvperf.go

示例8: CTestGemvTransA

func CTestGemvTransA(m, n, p int) (fnc func(), A, X, Y *matrix.FloatMatrix) {
	A = matrix.FloatNormal(n, m)
	X = matrix.FloatNormal(n, 1)
	Y = matrix.FloatZeros(m, 1)
	A = A.Transpose()
	fnc = func() {
		blas.GemvFloat(A, X, Y, 1.0, 1.0, linalg.OptTrans)
	}
	return
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:10，代碼來源:mvperf.go

示例9: _TestMultMVTransA

func _TestMultMVTransA(t *testing.T) {
	bM := 1000 * M
	bN := 1000 * N
	A := matrix.FloatNormal(bN, bM)
	X := matrix.FloatWithValue(bN, 1, 1.0)
	Y1 := matrix.FloatZeros(bM, 1)
	Y0 := matrix.FloatZeros(bM, 1)

	Ar := A.FloatArray()
	Xr := X.FloatArray()
	Y1r := Y1.FloatArray()

	blas.GemvFloat(A, X, Y0, 1.0, 1.0, linalg.OptTrans)

	DMultMV(Y1r, Ar, Xr, 1.0, 1.0, TRANSA, 1, A.LeadingIndex(), 1, 0, bN, 0, bM, 4, 4)
	ok := Y0.AllClose(Y1)
	t.Logf("Y0 == Y1: %v\n", ok)
	if !ok {
		var y1, y0 matrix.FloatMatrix
		Y1.SubMatrix(&y1, 0, 0, 5, 1)
		t.Logf("Y1[0:5]:\n%v\n", y1)
		Y0.SubMatrix(&y0, 0, 0, 5, 1)
		t.Logf("Y0[0:5]:\n%v\n", y0)
	}
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:25，代碼來源:tmult_test.go

示例10: _TestMultSymmLowerSmall

func _TestMultSymmLowerSmall(t *testing.T) {
	//bM := 5
	bN := 7
	bP := 7
	Adata := [][]float64{
		[]float64{1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0}}

	A := matrix.FloatMatrixFromTable(Adata, matrix.RowOrder)
	B := matrix.FloatNormal(bN, bP)
	C0 := matrix.FloatZeros(bN, bP)
	C1 := matrix.FloatZeros(bN, bP)

	Ar := A.FloatArray()
	Br := B.FloatArray()
	C1r := C1.FloatArray()

	blas.SymmFloat(A, B, C0, 1.0, 1.0, linalg.OptLower, linalg.OptRight)

	DMultSymm(C1r, Ar, Br, 1.0, 1.0, LOWER|RIGHT, bN, A.LeadingIndex(), bN,
		bN, 0, bP, 0, bN, 2, 2, 2)
	ok := C0.AllClose(C1)
	t.Logf("C0 == C1: %v\n", ok)
	if !ok {
		t.Logf("A=\n%v\n", A)
		t.Logf("blas: C=A*B\n%v\n", C0)
		t.Logf("C1: C1 = A*X\n%v\n", C1)
	}
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:34，代碼來源:tmult_test.go

示例11: _TestLDLnoPiv

func _TestLDLnoPiv(t *testing.T) {
	N := 42
	nb := 8

	A0 := matrix.FloatUniform(N, N)
	A := matrix.FloatZeros(N, N)
	Mult(A, A0, A0, 1.0, 1.0, TRANSB)

	B := matrix.FloatNormal(A.Rows(), 2)
	w := matrix.FloatWithValue(A.Rows(), 2, 1.0)

	// B0 = A*B
	B0 := B.Copy()

	nb = 2
	L, _ := DecomposeLDLnoPiv(A.Copy(), w, LOWER, nb)
	Mult(B0, A, B, 1.0, 0.0, NOTRANS)
	SolveLDLnoPiv(B0, L, LOWER)
	t.Logf("L*D*L.T: ||B - A*X||_1: %e\n", NormP(B0.Minus(B), NORM_ONE))

	U, _ := DecomposeLDLnoPiv(A.Copy(), w, UPPER, nb)
	Mult(B0, A, B, 1.0, 0.0, NOTRANS)
	SolveLDLnoPiv(B0, U, UPPER)
	t.Logf("U*D*U.T: ||B - A*X||_1: %e\n", NormP(B0.Minus(B), NORM_ONE))

}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:26，代碼來源:ldl_test.go

示例12: TestUpdateTrmMV

func TestUpdateTrmMV(t *testing.T) {
	//bM := 5
	bN := 8
	//bP := 4
	nb := 4
	X := matrix.FloatNormal(bN, 1)
	//B := matrix.FloatNormal(bP, bN)
	Y := X.Copy()
	C0 := matrix.FloatZeros(bN, bN)
	C2 := matrix.FloatZeros(bN, bN)
	C1 := matrix.FloatZeros(bN, bN)

	Xr := X.FloatArray()
	Yr := Y.FloatArray()
	C1r := C1.FloatArray()
	C0r := C0.FloatArray()
	C2r := C2.FloatArray()

	// no transpose
	DRankMV(C1r, Xr, Yr, 1.0, C1.LeadingIndex(), 1, 1,
		0, bN, 0, bN, nb, nb)
	DTrmUpdMV(C0r, Xr, Yr, 1.0, LOWER, C0.LeadingIndex(), 1, 1,
		0, bN, nb)
	DTrmUpdMV(C2r, Xr, Yr, 1.0, UPPER, C2.LeadingIndex(), 1, 1,
		0, bN, nb)

	t.Logf("C1:\n%v\nC0:\n%v\nC2:\n%v\n", C1, C0, C2)
	// C0 == C2.T
	t.Logf("C0 == C2.T: %v\n", C0.AllClose(C2.Transpose()))
	// C1 == C1 - C2 + C0.T
	Cn := matrix.Minus(C1, C2)
	Cn.Plus(C0.Transpose())
	t.Logf("C1 == C1 - C2 + C0.T: %v\n", Cn.AllClose(C1))

}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:35，代碼來源:tmult_test.go

示例13: TestLDLlower

func TestLDLlower(t *testing.T) {
	/*
	   Ldata := [][]float64{
	    []float64{7.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0},
	    []float64{7.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0},
	    []float64{7.0, 6.0, 5.0, 0.0, 0.0, 0.0, 0.0},
	    []float64{7.0, 6.0, 5.0, 4.0, 0.0, 0.0, 0.0},
	    []float64{7.0, 6.0, 5.0, 4.0, 6.0, 0.0, 0.0},
	    []float64{7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 0.0},
	    []float64{7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0}}
	   A := matrix.FloatMatrixFromTable(Ldata, matrix.RowOrder)
	   N := A.Rows()
	*/
	N := 7
	nb := 0

	A0 := matrix.FloatUniform(N, N)
	A := matrix.FloatZeros(N, N)
	Mult(A, A0, A0, 1.0, 1.0, TRANSB)

	B := matrix.FloatNormal(A.Rows(), 2)
	B0 := B.Copy()
	B1 := B.Copy()
	Mult(B0, A, B, 1.0, 0.0, NOTRANS)
	_, _, _ = B0, B1, A0

	ipiv := make([]int, N, N)
	L, _ := DecomposeLDL(A.Copy(), nil, ipiv, LOWER, 0)
	//t.Logf("unblk: ipiv = %v\n", ipiv)
	//t.Logf("unblk: L\n%v\n", L)

	ApplyRowPivots(B, ipiv, FORWARD)
	MultTrm(B, L, 1.0, LOWER|UNIT|TRANSA)
	MultDiag(B, L, LEFT)
	MultTrm(B, L, 1.0, LOWER|UNIT)
	ApplyRowPivots(B0, ipiv, FORWARD)
	t.Logf(" unblk: L*D*L.T %d pivots: ||A*B - L*D*L.T*B||_1: %e\n",
		NumPivots(ipiv), NormP(B.Minus(B0), NORM_ONE))
	t.Logf("pivots: %v\n", ipiv)

	nb = 4
	w := matrix.FloatWithValue(A.Rows(), nb, 1.0)
	L, _ = DecomposeLDL(A.Copy(), w, ipiv, LOWER, nb)
	//t.Logf("blk: ipiv = %v\n", ipiv)
	//t.Logf("blk: L\n%v\n", L)

	// B2 = A*B1 == A*B
	B2 := B1.Copy()
	Mult(B2, A, B1, 1.0, 0.0, NOTRANS)

	ApplyRowPivots(B1, ipiv, FORWARD)
	MultTrm(B1, L, 1.0, LOWER|UNIT|TRANSA)
	MultDiag(B1, L, LEFT)
	MultTrm(B1, L, 1.0, LOWER|UNIT)
	ApplyRowPivots(B2, ipiv, FORWARD)
	t.Logf("   blk: L*D*L.T %d pivots: ||A*B - L*D*L.T*B||_1: %e\n",
		NumPivots(ipiv), NormP(B2.Minus(B1), NORM_ONE))
	t.Logf("pivots: %v\n", ipiv)
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:59，代碼來源:ldl_test.go

示例14: _TestSyrk2Small

func _TestSyrk2Small(t *testing.T) {
	//bN := 7
	Udata3 := [][]float64{
		[]float64{2.0, 2.0, 2.0},
		[]float64{0.0, 3.0, 3.0},
		[]float64{0.0, 0.0, 4.0}}

	Udata := [][]float64{
		[]float64{1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0},
		[]float64{0.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0},
		[]float64{0.0, 0.0, 3.0, 3.0, 3.0, 3.0, 3.0},
		[]float64{0.0, 0.0, 0.0, 4.0, 4.0, 4.0, 4.0},
		[]float64{0.0, 0.0, 0.0, 0.0, 5.0, 5.0, 5.0},
		[]float64{0.0, 0.0, 0.0, 0.0, 0.0, 6.0, 6.0},
		[]float64{0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 7.0}}
	U := matrix.FloatMatrixFromTable(Udata, matrix.RowOrder)
	U3 := matrix.FloatMatrixFromTable(Udata3, matrix.RowOrder)
	_ = U
	_ = U3

	Ldata3 := [][]float64{
		[]float64{1.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 0.0},
		[]float64{1.0, 2.0, 3.0}}

	Ldata := [][]float64{
		[]float64{1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0}}
	L := matrix.FloatMatrixFromTable(Ldata, matrix.RowOrder)
	L3 := matrix.FloatMatrixFromTable(Ldata3, matrix.RowOrder)
	_ = L
	_ = L3

	Adata := [][]float64{
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0},
		[]float64{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0}}
	Bdata := [][]float64{
		[]float64{7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0},
		[]float64{7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0}}
	_ = Bdata
	A := matrix.FloatMatrixFromTable(Adata)
	//B := matrix.FloatMatrixFromTable(Bdata);
	B := matrix.FloatNormal(7, 2)
	t.Logf("-- SYR2K UPPER --")
	syrk2Test(t, U.Copy(), A, B, UPPER, 4, 2)
	t.Logf("-- SYR2K LOWER --")
	syrk2Test(t, L.Copy(), A, B, LOWER, 4, 2)
	t.Logf("-- SYR2K UPPER, TRANSA --")
	//t.Logf("A: \n%v\n", A.Transpose())
	syrk2Test(t, U.Copy(), A.Transpose(), B.Transpose(), UPPER|TRANSA, 4, 2)
	t.Logf("-- SYR2K LOWER, TRANS --")
	syrk2Test(t, L.Copy(), A.Transpose(), B.Transpose(), LOWER|TRANSA, 4, 2)
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:58，代碼來源:trank_test.go

示例15: CTestBlasUp

func CTestBlasUp(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormalSymmetric(m, matrix.Lower)
	B = matrix.FloatNormal(m, n)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		blas.SymmFloat(A, B, C, 1.0, 1.0, linalg.OptUpper)
	}
	return fnc, A, B, C
}
開發者ID:sguzwf，項目名稱:algorithm，代碼行數:9，代碼來源:symperf.go


注：本文中的github.com/henrylee2cn/algorithm/matrix.FloatNormal函數示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。