hub / github.com/andeya/algorithm / CpCustomKKT

Function CpCustomKKT

cvx/cp.go:509–593 · view source on GitHub ↗

Solves a convex optimization problem with a linear objective minimize f0(x) subject to fk(x) <= 0, k = 1, ..., mnl G*x <= h A*x = b. using custom solver for KKT equations.

(F ConvexProg, G, h, A, b *matrix.FloatMatrix, dims *sets.DimensionSet,
	kktsolver KKTCpSolver, solopts *SolverOptions)

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers

nothing calls this directly

Calls 10

checkConeLpDimensionsFunction · 0.85

newEpigraphFunction · 0.85

cp_problemFunction · 0.85

SumSquaredMethod · 0.80

F0Method · 0.65

ColsMethod · 0.65

SetMethod · 0.65

RowsMethod · 0.65

SizeMatchMethod · 0.65

SumMethod · 0.45

Tested by

no test coverage detected