本文整理汇总了Golang中github.com/henrylee2cn/algorithm/matrix.FloatMatrix.Add方法的典型用法代码示例。如果您正苦于以下问题:Golang FloatMatrix.Add方法的具体用法?Golang FloatMatrix.Add怎么用?Golang FloatMatrix.Add使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/henrylee2cn/algorithm/matrix.FloatMatrix
的用法示例。
在下文中一共展示了FloatMatrix.Add方法的6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: _TestPartition1Dh
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)
}
}
示例2: F1
func (F *cpProg) F1(xa MatrixVariable) (f MatrixVariable, Df MatrixVarDf, err error) {
f = nil
Df = nil
err = nil
x, x_ok := xa.(*epigraph)
if !x_ok {
err = errors.New("'x' argument not an epigraph")
}
var f0, Df0 *matrix.FloatMatrix
f0, Df0, err = F.convexF.F1(x.m())
if err != nil {
fmt.Printf("'cpProg.F1' error: %v\n%s\n", err, x)
return
}
f0.Add(-x.t(), 0)
f = &matrixVar{f0}
Df = &epigraphDf{Df0}
return
}
示例3: F2
func (F *cpProg) F2(xa MatrixVariable, z *matrix.FloatMatrix) (f MatrixVariable, Df MatrixVarDf, H MatrixVarH, err error) {
f = nil
Df = nil
H = nil
err = nil
x, x_ok := xa.(*epigraph)
if !x_ok {
err = errors.New("'x' argument not an epigraph")
return
}
var f0, Df0, H0 *matrix.FloatMatrix
f0, Df0, H0, err = F.convexF.F2(x.m(), z)
if err != nil {
return
}
f0.Add(-x.t(), 0)
f = &matrixVar{f0}
Df = &epigraphDf{Df0}
H = &epigraphH{H0}
return
}
示例4: _TestPartition2D
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)
}
示例5: unblockedLUpiv
// 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
}
示例6: coneqp_solver
//.........这里部分代码省略.........
if G == nil {
err = errors.New("'G' must be non-nil MatrixG interface.")
return
}
fG := func(x, y MatrixVariable, alpha, beta float64, trans la.Option) error {
return G.Gf(x, y, alpha, beta, trans)
}
// Check A and set defaults if it is nil
fA := func(x, y MatrixVariable, alpha, beta float64, trans la.Option) error {
return A.Af(x, y, alpha, beta, trans)
}
// Check b and set defaults if it is nil
if b == nil {
err = errors.New("'b' must be non-nil MatrixVariable interface.")
return
}
// kktsolver(W) returns a routine for solving 3x3 block KKT system
//
// [ 0 A' G'*W^{-1} ] [ ux ] [ bx ]
// [ A 0 0 ] [ uy ] = [ by ].
// [ G 0 -W' ] [ uz ] [ bz ]
if kktsolver == nil {
err = errors.New("nil kktsolver not allowed.")
return
}
ws3 := matrix.FloatZeros(cdim, 1)
wz3 := matrix.FloatZeros(cdim, 1)
checkpnt.AddMatrixVar("ws3", ws3)
checkpnt.AddMatrixVar("wz3", wz3)
//
res := func(ux, uy MatrixVariable, uz, us *matrix.FloatMatrix, vx, vy MatrixVariable, vz, vs *matrix.FloatMatrix, W *sets.FloatMatrixSet, lmbda *matrix.FloatMatrix) (err error) {
// Evaluates residual in Newton equations:
//
// [ vx ] [ vx ] [ 0 ] [ P A' G' ] [ ux ]
// [ vy ] := [ vy ] - [ 0 ] - [ A 0 0 ] * [ uy ]
// [ vz ] [ vz ] [ W'*us ] [ G 0 0 ] [ W^{-1}*uz ]
//
// vs := vs - lmbda o (uz + us).
// vx := vx - P*ux - A'*uy - G'*W^{-1}*uz
minor := checkpnt.MinorTop()
checkpnt.Check("00res", minor)
fP(ux, vx, -1.0, 1.0)
fA(uy, vx, -1.0, 1.0, la.OptTrans)
blas.Copy(uz, wz3)
scale(wz3, W, true, false)
fG(&matrixVar{wz3}, vx, -1.0, 1.0, la.OptTrans)
// vy := vy - A*ux
fA(ux, vy, -1.0, 1.0, la.OptNoTrans)
checkpnt.Check("50res", minor)
// vz := vz - G*ux - W'*us
fG(ux, &matrixVar{vz}, -1.0, 1.0, la.OptNoTrans)
blas.Copy(us, ws3)
scale(ws3, W, true, false)
blas.AxpyFloat(ws3, vz, -1.0)
// vs := vs - lmbda o (uz + us)
blas.Copy(us, ws3)