MCPcopy Create free account
hub / github.com/cmower/optas / MixedIntegerNonlinearCostNonlinearConstrained

Class MixedIntegerNonlinearCostNonlinearConstrained

optas/optimization.py:533–568  ·  view source on GitHub ↗

Nonlinear mixed-integer optimization problem. min f(x, z; p) x,z subject to k(x, z; p) = M(p).x + L(p).z + c(p) >= 0 a(x, z; p) = A(p).x + G(p).z + b(p) == 0 g(x, z; p) >= 0, and h(x, z; p) == 0

Source from the content-addressed store, hash-verified

source not stored for this graph (policy: none)

Callers 1

buildMethod · 0.85

Calls

no outgoing calls

Tested by

no test coverage detected