本文整理汇总了Golang中github.com/henrylee2cn/algorithm/matrix.FloatZeros函数的典型用法代码示例。如果您正苦于以下问题:Golang FloatZeros函数的具体用法?Golang FloatZeros怎么用?Golang FloatZeros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FloatZeros函数的15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,您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: _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)
}
}
示例2: F1
func (gp *gpConvexProg) F1(x *matrix.FloatMatrix) (f, Df *matrix.FloatMatrix, err error) {
f = nil
Df = nil
err = nil
f = matrix.FloatZeros(gp.mnl+1, 1)
Df = matrix.FloatZeros(gp.mnl+1, gp.n)
y := gp.g.Copy()
blas.GemvFloat(gp.F, x, y, 1.0, 1.0)
for i, s := range gp.ind {
start := s[0]
stop := s[1]
// yi := exp(yi) = exp(Fi*x+gi)
ymax := maxvec(y.FloatArray()[start:stop])
// ynew = exp(y[start:stop] - ymax)
ynew := matrix.Exp(matrix.FloatVector(y.FloatArray()[start:stop]).Add(-ymax))
y.SetIndexesFromArray(ynew.FloatArray(), matrix.Indexes(start, stop)...)
// fi = log sum yi = log sum exp(Fi*x+gi)
ysum := blas.AsumFloat(y, &la.IOpt{"n", stop - start}, &la.IOpt{"offset", start})
f.SetIndex(i, ymax+math.Log(ysum))
blas.ScalFloat(y, 1.0/ysum, &la.IOpt{"n", stop - start}, &la.IOpt{"offset", start})
blas.GemvFloat(gp.F, y, Df, 1.0, 0.0, la.OptTrans, &la.IOpt{"m", stop - start},
&la.IOpt{"incy", gp.mnl + 1}, &la.IOpt{"offseta", start},
&la.IOpt{"offsetx", start}, &la.IOpt{"offsety", i})
}
return
}
示例3: _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)
}
}
示例4: TestQRSmal
func TestQRSmal(t *testing.T) {
data := [][]float64{
[]float64{12.0, -51.0, 4.0},
[]float64{6.0, 167.0, -68.0},
[]float64{-4.0, 24.0, -41.0}}
A := matrix.FloatMatrixFromTable(data, matrix.RowOrder)
T := matrix.FloatZeros(A.Cols(), A.Cols())
T0 := T.Copy()
M := A.Rows()
//N := A.Cols()
Tau := matrix.FloatZeros(M, 1)
X, _ := DecomposeQR(A.Copy(), Tau, nil, 0)
t.Logf("A\n%v\n", A)
t.Logf("X\n%v\n", X)
t.Logf("Tau\n%v\n", Tau)
Tau0 := matrix.FloatZeros(M, 1)
lapack.Geqrf(A, Tau0)
t.Logf("lapack X\n%v\n", A)
t.Logf("lapack Tau\n%v\n", Tau0)
unblkQRBlockReflector(X, Tau, T)
t.Logf("T:\n%v\n", T)
V := TriLU(X.Copy())
lapack.LarftFloat(V, Tau, T0)
t.Logf("T0:\n%v\n", T0)
}
示例5: _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)
}
*/
}
示例6: TestMultQT
func TestMultQT(t *testing.T) {
M := 60
N := 40
K := 30
nb := 12
A := matrix.FloatUniform(M, N)
B := matrix.FloatUniform(M, K)
W := matrix.FloatZeros(N, nb)
T := matrix.FloatZeros(N, N)
// QR = Q*R
QR, err := DecomposeQRT(A.Copy(), T, W, nb)
if err != nil {
t.Logf("decompose-err: %v\n", err)
}
// compute: B - Q*Q.T*B = 0
// X = Q*Q.T*B
X := B.Copy()
MultQT(X, QR, T, W, LEFT|TRANS, nb)
MultQT(X, QR, T, W, LEFT, nb)
B.Minus(X)
// ||B - Q*Q.T*B||_1
nrm := NormP(B, NORM_ONE)
t.Logf("||B - Q*Q.T*B||_1: %e\n", nrm)
}
示例7: 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))
}
示例8: TestSolveLeastSquaresQRT
func TestSolveLeastSquaresQRT(t *testing.T) {
M := 60
N := 40
K := 30
nb := 12
A := matrix.FloatUniform(M, N)
B := matrix.FloatZeros(M, K)
X0 := matrix.FloatUniform(N, K)
// B = A*X0
Mult(B, A, X0, 1.0, 0.0, NOTRANS)
W := matrix.FloatZeros(N, nb)
T := matrix.FloatZeros(N, N)
QR, err := DecomposeQRT(A, T, W, nb)
if err != nil {
t.Logf("decompose error: %v\n", err)
}
// B' = A.-1*B
err = SolveQRT(B, QR, T, W, NOTRANS, nb)
// expect B[0:N, 0:K] == X0, B[N:M, 0:K] == 0.0
var Xref matrix.FloatMatrix
Bref := matrix.FloatZeros(M, K)
Bref.SubMatrix(&Xref, 0, 0, N, K)
Xref.Plus(X0)
Bref.Minus(B)
t.Logf("\nmin ||B - A*X0||\n\twhere B = A*X0\n")
t.Logf("||B - A*X0||_1 ~~ 0.0: %e\n", NormP(Bref, NORM_ONE))
}
示例9: runTest
func runTest(A *matrix.FloatMatrix, ntest, LB int) time.Duration {
var W *matrix.FloatMatrix = nil
var mintime time.Duration
N := A.Cols()
tau := matrix.FloatZeros(N, 1)
if LB > 0 {
W = matrix.FloatZeros(A.Rows(), LB)
}
fnc := func() {
_, ERRmatops = matops.DecomposeQR(A, tau, W, LB)
}
A0 := A.Copy()
for n := 0; n < ntest; n++ {
if n > 0 {
// restore original A
A0.CopyTo(A)
tau.Scale(0.0)
}
mperf.FlushCache()
time0 := mperf.Timeit(fnc)
if n == 0 || time0 < mintime {
mintime = time0
}
if verbose {
fmt.Printf("%.4f ms\n", time0.Seconds()*1000.0)
}
}
return mintime
}
示例10: Gp
//
// Solves a geometric program
//
// minimize log sum exp (F0*x+g0)
// subject to log sum exp (Fi*x+gi) <= 0, i=1,...,m
// G*x <= h
// A*x = b
//
func Gp(K []int, F, g, G, h, A, b *matrix.FloatMatrix, solopts *SolverOptions) (sol *Solution, err error) {
if err = checkArgK(K); err != nil {
return
}
l := sumdim(K)
if F == nil || F.Rows() != l {
err = errors.New(fmt.Sprintf("'F' must matrix with %d rows", l))
return
}
if g == nil || !g.SizeMatch(l, 1) {
err = errors.New(fmt.Sprintf("'g' must matrix with size (%d,1)", l))
return
}
n := F.Cols()
if G == nil {
G = matrix.FloatZeros(0, n)
}
if h == nil {
h = matrix.FloatZeros(0, 1)
}
if G.Cols() != n {
err = errors.New(fmt.Sprintf("'G' must matrix with size %d columns", n))
return
}
ml := G.Rows()
if h == nil || !h.SizeMatch(ml, 1) {
err = errors.New(fmt.Sprintf("'h' must matrix with size (%d,1)", ml))
return
}
if A == nil {
A = matrix.FloatZeros(0, n)
}
if b == nil {
b = matrix.FloatZeros(0, 1)
}
if A.Cols() != n {
err = errors.New(fmt.Sprintf("'A' must matrix with size %d columns", n))
return
}
p := A.Rows()
if b == nil || !b.SizeMatch(p, 1) {
err = errors.New(fmt.Sprintf("'b' must matrix with size (%d,1)", p))
return
}
dims := sets.NewDimensionSet("l", "q", "s")
dims.Set("l", []int{ml})
gpProg := createGpProg(K, F, g)
return Cp(gpProg, G, h, A, b, dims, solopts)
}
示例11: maxStep
// Returns min {t | x + t*e >= 0}, where e is defined as follows
//
// - For the nonlinear and 'l' blocks: e is the vector of ones.
// - For the 'q' blocks: e is the first unit vector.
// - For the 's' blocks: e is the identity matrix.
//
// When called with the argument sigma, also returns the eigenvalues
// (in sigma) and the eigenvectors (in x) of the 's' components of x.
func maxStep(x *matrix.FloatMatrix, dims *sets.DimensionSet, mnl int, sigma *matrix.FloatMatrix) (rval float64, err error) {
/*DEBUGGED*/
rval = 0.0
err = nil
t := make([]float64, 0, 10)
ind := mnl + dims.Sum("l")
if ind > 0 {
t = append(t, -minvec(x.FloatArray()[:ind]))
}
for _, m := range dims.At("q") {
if m > 0 {
v := blas.Nrm2Float(x, &la_.IOpt{"offset", ind + 1}, &la_.IOpt{"n", m - 1})
v -= x.GetIndex(ind)
t = append(t, v)
}
ind += m
}
//var Q *matrix.FloatMatrix
//var w *matrix.FloatMatrix
ind2 := 0
//if sigma == nil && len(dims.At("s")) > 0 {
// mx := dims.Max("s")
// Q = matrix.FloatZeros(mx, mx)
// w = matrix.FloatZeros(mx, 1)
//}
for _, m := range dims.At("s") {
if sigma == nil {
Q := matrix.FloatZeros(m, m)
w := matrix.FloatZeros(m, 1)
blas.Copy(x, Q, &la_.IOpt{"offsetx", ind}, &la_.IOpt{"n", m * m})
err = lapack.SyevrFloat(Q, w, nil, 0.0, nil, []int{1, 1}, la_.OptRangeInt,
&la_.IOpt{"n", m}, &la_.IOpt{"lda", m})
if m > 0 && err == nil {
t = append(t, -w.GetIndex(0))
}
} else {
err = lapack.SyevdFloat(x, sigma, la_.OptJobZValue, &la_.IOpt{"n", m},
&la_.IOpt{"lda", m}, &la_.IOpt{"offseta", ind}, &la_.IOpt{"offsetw", ind2})
if m > 0 {
t = append(t, -sigma.GetIndex(ind2))
}
}
ind += m * m
ind2 += m
}
if len(t) > 0 {
rval = maxvec(t)
}
return
}
示例12: runCheck
// single invocation for matops and lapack functions
func runCheck(A *matrix.FloatMatrix, LB int) (bool, time.Duration, time.Duration) {
var W *matrix.FloatMatrix = nil
N := A.Cols()
tau := matrix.FloatZeros(N, 1)
if LB > 0 {
W = matrix.FloatZeros(A.Rows(), LB)
}
fnc := func() {
_, ERRmatops = matops.DecomposeQR(A, tau, W, LB)
}
if verbose && N < 10 {
fmt.Fprintf(os.Stderr, "A start:\n%v\n", A)
}
A0 := A.Copy()
tau0 := tau.Copy()
mperf.FlushCache()
time0 := mperf.Timeit(fnc)
if verbose && N < 10 {
fmt.Fprintf(os.Stderr, "A end:\n%v\n", A)
tau.SetSize(1, N, 1)
fmt.Fprintf(os.Stderr, "tau: %v\n", tau)
}
fn2 := func() {
ERRlapack = lapack.Geqrf(A0, tau0)
}
mperf.FlushCache()
time2 := mperf.Timeit(fn2)
if verbose && N < 10 {
fmt.Fprintf(os.Stderr, "A0 end:\n%v\n", A0)
tau0.SetSize(1, N, 1) // row vector
fmt.Fprintf(os.Stderr, "tau0: %v\n", tau0)
}
// now A == A0 && tau == tau0
ok := A.AllClose(A0)
oktau := tau.AllClose(tau0)
if !ok || !oktau {
// save result to globals
Rlapack = A0
Rmatops = A
TAUlapack = tau0
TAUmatops = tau
}
return ok && oktau, time0, time2
}
示例13: _TestBK2
func _TestBK2(t *testing.T) {
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}}
N := 7
A0 := matrix.FloatNormal(N, N)
A := matrix.FloatZeros(N, N)
// A is symmetric, posivite definite
Mult(A, A0, A0, 1.0, 1.0, TRANSB)
X := matrix.FloatMatrixFromTable(Bdata, matrix.RowOrder)
B := matrix.FloatZeros(N, 2)
MultSym(B, A, X, 1.0, 0.0, LOWER|LEFT)
t.Logf("initial B:\n%v\n", B)
nb := 0
W := matrix.FloatWithValue(A.Rows(), 5, 1.0)
A.SetAt(4, 1, A.GetAt(4, 1)+1.0)
A.SetAt(1, 4, A.GetAt(4, 1))
ipiv := make([]int, N, N)
L, _ := DecomposeBK(A.Copy(), W, ipiv, LOWER, nb)
t.Logf("ipiv: %v\n", ipiv)
t.Logf("L:\n%v\n", L)
ipiv0 := make([]int, N, N)
nb = 4
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.Sytrf(A, ipiv2, linalg.OptLower)
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))
}
示例14: runRefTest
func runRefTest(A *matrix.FloatMatrix, ntest, LB int) time.Duration {
var mintime time.Duration
N := A.Cols()
tau := matrix.FloatZeros(N, 1)
fnc := func() {
ERRlapack = lapack.Geqrf(A, tau)
}
A0 := A.Copy()
for n := 0; n < ntest; n++ {
if n > 0 {
// restore original A
A0.CopyTo(A)
tau.Scale(0.0)
}
mperf.FlushCache()
time0 := mperf.Timeit(fnc)
if n == 0 || time0 < mintime {
mintime = time0
}
}
return mintime
}
示例15: _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))
}