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hub / github.com/andeya/algorithm / ConeLp

Function ConeLp

cvx/conelp.go:124–224  ·  view source on GitHub ↗

Solves a pair of primal and dual cone programs minimize c'*x subject to G*x + s = h A*x = b s >= 0 maximize -h'*z - b'*y subject to G'*z + A'*y + c = 0 z >= 0. The inequalities are with respect to a cone C defined as the Cartesian product of N + M + 1 cones: C = C_0 x C_1 x .... x C_N x

(c, G, h, A, b *matrix.FloatMatrix, dims *sets.DimensionSet, solopts *SolverOptions,
	primalstart, dualstart *sets.FloatMatrixSet)

Source from the content-addressed store, hash-verified

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Callers 4

LpFunction · 0.85
SocpFunction · 0.85
SdpFunction · 0.85
TestConeLpFunction · 0.85

Calls 10

factorFunction · 0.85
conelp_problemFunction · 0.85
SumSquaredMethod · 0.80
SumPackedMethod · 0.80
ColsMethod · 0.65
RowsMethod · 0.65
SetMethod · 0.65
SizeMatchMethod · 0.65
SumMethod · 0.45
AtMethod · 0.45

Tested by 1

TestConeLpFunction · 0.68