Golang matrix.FloatNormal函数代码示例

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本文整理汇总了Golang中github.com/henrylee2cn/algorithm/matrix.FloatNormal函数的典型用法代码示例。如果您正苦于以下问题：Golang FloatNormal函数的具体用法？Golang FloatNormal怎么用？Golang FloatNormal使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。

在下文中一共展示了FloatNormal函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Golang代码示例。

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)
	   }
	*/
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:25，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:10，代码来源: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)
	}
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:25，代码来源: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)
	}
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:34，代码来源: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))

}

开发者ID:sguzwf，项目名称:algorithm，代码行数:26，代码来源: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))

}

开发者ID:sguzwf，项目名称:algorithm，代码行数:35，代码来源: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)
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:59，代码来源: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)
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:58，代码来源: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
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源:symperf.go

示例16: CTestSymmLower

func CTestSymmLower(m, n, p int) (fnc func(), A, B, C *matrix.FloatMatrix) {
	A = matrix.FloatNormalSymmetric(m, matrix.Upper)
	B = matrix.FloatNormal(m, n)
	C = matrix.FloatZeros(m, n)
	fnc = func() {
		matops.MultSym(C, A, B, 1.0, 1.0, matops.LEFT|matops.LOWER)
	}
	return fnc, A, B, C
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:9，代码来源:symperf.go

示例17: _TestRank

func _TestRank(t *testing.T) {
	bM := M * 100
	bN := N * 100
	//bP := 5

	A := matrix.FloatWithValue(bM, bN, 1.0)
	A0 := matrix.FloatWithValue(bM, bN, 1.0)
	X := matrix.FloatNormal(bM, 1)
	Y := matrix.FloatNormal(bN, 1)

	Ar := A.FloatArray()
	Xr := X.FloatArray()
	Yr := Y.FloatArray()

	blas.GerFloat(X, Y, A0, 1.0)

	DRankMV(Ar, Xr, Yr, 1.0, A.LeadingIndex(), 1, 1, 0, bN, 0, bM, 4, 4)
	t.Logf("GER A0 == A1: %v\n", A0.AllClose(A))
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:19，代码来源:trank_test.go

示例18: _TestMultTransABig

func _TestMultTransABig(t *testing.T) {
	bM := 100*M + 3
	bN := 100*N + 3
	bP := 100*P + 3
	D := matrix.FloatNormal(bM, bP)
	E := matrix.FloatNormal(bP, bN)
	C0 := matrix.FloatZeros(bM, bN)
	C1 := matrix.FloatZeros(bM, bN)
	Dt := D.Transpose()

	Dr := Dt.FloatArray()
	Er := E.FloatArray()
	C1r := C1.FloatArray()

	blas.GemmFloat(Dt, E, C0, 1.0, 1.0, linalg.OptTransA)

	DMult(C1r, Dr, Er, 1.0, 1.0, TRANSA, bM, bM, bP, bP, 0, bN, 0, bM, 32, 32, 32)
	t.Logf("C0 == C1: %v\n", C0.AllClose(C1))
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:19，代码来源:tmult_test.go

示例19: _TestMultTransASmall

func _TestMultTransASmall(t *testing.T) {
	bM := 7
	bN := 7
	bP := 7
	D := matrix.FloatNormal(bM, bP)
	E := matrix.FloatNormal(bP, bN)
	C0 := matrix.FloatWithValue(bM, bN, 0.0)
	C1 := C0.Copy()
	Dt := D.Transpose()

	Dr := Dt.FloatArray()
	Er := E.FloatArray()
	C1r := C1.FloatArray()
	blas.GemmFloat(Dt, E, C0, 1.0, 1.0, linalg.OptTransA)
	t.Logf("blas: C=D*E\n%v\n", C0)

	DMult(C1r, Dr, Er, 1.0, 1.0, TRANSA, bM, bM, bP, bP, 0, bN, 0, bM, 4, 4, 4)
	t.Logf("C0 == C1: %v\n", C0.AllClose(C1))
	t.Logf("C1: C1=D*E\n%v\n", C1)
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:20，代码来源:tmult_test.go

示例20: _TestMultBig

func _TestMultBig(t *testing.T) {
	bM := 100*M + 3
	bN := 100*N + 3
	bP := 100*P + 3
	D := matrix.FloatNormal(bM, bP)
	E := matrix.FloatNormal(bP, bN)
	C0 := matrix.FloatZeros(bM, bN)
	C1 := matrix.FloatZeros(bM, bN)

	Dr := D.FloatArray()
	Er := E.FloatArray()
	C1r := C1.FloatArray()

	blas.GemmFloat(D, E, C0, 1.0, 1.0)
	//t.Logf("blas: C=D*E\n%v\n", C0)

	DMult(C1r, Dr, Er, 1.0, 1.0, NOTRANS, bM, bM, bP, bP, 0, bN, 0, bM, 32, 32, 32)
	res := C0.AllClose(C1)
	t.Logf("C0 == C1: %v\n", res)
}

开发者ID:sguzwf，项目名称:algorithm，代码行数:20，代码来源:tmult_test.go

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