Sleipnir Python API
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jormungandr.optimization Namespace Reference

Classes

class  DynamicsType
 
class  EqualityConstraints
 
class  ExitStatus
 
class  InequalityConstraints
 
class  IterationInfo
 
class  OCP
 
class  Problem
 
class  TimestepMethod
 
class  TranscriptionMethod
 

Functions

 multistart (solve, initial_guesses)
 

Function Documentation

◆ multistart()

jormungandr.optimization.multistart (   solve,
  initial_guesses 
)
Solves an optimization problem from different starting points in parallel,
then returns the solution with the lowest cost.

Each solve is performed on a separate thread. Solutions from successful
solves are always preferred over solutions from unsuccessful solves, and
cost (lower is better) is the tiebreaker between successful solves.

Parameter ``solve``:
    A user-provided function that takes a decision variable initial guess
    and returns a MultistartResult.

Parameter ``initial_guesses``:
    A list of decision variable initial guesses to try.