Optimization Submodules

• klampt.math.optimize module
  • OptimizationProblem
    • OptimizationProblem.objective
    • OptimizationProblem.objectiveGrad
    • OptimizationProblem.bounds
    • OptimizationProblem.equalities
    • OptimizationProblem.equalityGrads
    • OptimizationProblem.inequalities
    • OptimizationProblem.inequalityGrads
    • OptimizationProblem.feasibilityTests
    • OptimizationProblem.setObjective()
    • OptimizationProblem.addEquality()
    • OptimizationProblem.addInequality()
    • OptimizationProblem.setBounds()
    • OptimizationProblem.setFeasibilityTest()
    • OptimizationProblem.addFeasibilityTest()
    • OptimizationProblem.setSymbolicObjective()
    • OptimizationProblem.addSymbolicConstraint()
    • OptimizationProblem.objectiveValue()
    • OptimizationProblem.feasible()
    • OptimizationProblem.equalityResidual()
    • OptimizationProblem.inequalityResidual()
    • OptimizationProblem.makeUnconstrained()
  • LocalOptimizer
    • LocalOptimizer.methodsAvailable()
    • LocalOptimizer.methodsAppropriate()
    • LocalOptimizer.setSeed()
    • LocalOptimizer.solve()
  • sample_range()
  • GlobalOptimizer
    • GlobalOptimizer.setSeed()
    • GlobalOptimizer.solve()
  • OptimizerParams
    • OptimizerParams.toJson()
    • OptimizerParams.fromJson()
    • OptimizerParams.solve()
  • OptimizationObjective
    • OptimizationObjective.expr
    • OptimizationObjective.type
    • OptimizationObjective.soft
    • OptimizationObjective.weight
    • OptimizationObjective.name
  • OptimizationProblemBuilder
    • OptimizationProblemBuilder.context
    • OptimizationProblemBuilder.objectives
    • OptimizationProblemBuilder.optimizationVariables
    • OptimizationProblemBuilder.addEquality()
    • OptimizationProblemBuilder.addInequality()
    • OptimizationProblemBuilder.addCost()
    • OptimizationProblemBuilder.addFeasibilityTest()
    • OptimizationProblemBuilder.setBounds()
    • OptimizationProblemBuilder.bind()
    • OptimizationProblemBuilder.unbind()
    • OptimizationProblemBuilder.bindVars()
    • OptimizationProblemBuilder.unbindVars()
    • OptimizationProblemBuilder.getVarValues()
    • OptimizationProblemBuilder.setVarValues()
    • OptimizationProblemBuilder.getVarVector()
    • OptimizationProblemBuilder.setVarVector()
    • OptimizationProblemBuilder.randomVarBinding()
    • OptimizationProblemBuilder.cost()
    • OptimizationProblemBuilder.equalityResidual()
    • OptimizationProblemBuilder.satisfiesEqualities()
    • OptimizationProblemBuilder.inequalityResidual()
    • OptimizationProblemBuilder.satisfiesInequalities()
    • OptimizationProblemBuilder.feasibilityTestsPass()
    • OptimizationProblemBuilder.inBounds()
    • OptimizationProblemBuilder.isFeasible()
    • OptimizationProblemBuilder.costSymbolic()
    • OptimizationProblemBuilder.equalityResidualSymbolic()
    • OptimizationProblemBuilder.inequalityResidualSymbolic()
    • OptimizationProblemBuilder.equalitySatisfiedSymbolic()
    • OptimizationProblemBuilder.inequalitySatisfiedSymbolic()
    • OptimizationProblemBuilder.feasibilityTestsPassSymbolic()
    • OptimizationProblemBuilder.inBoundsSymbolic()
    • OptimizationProblemBuilder.isFeasibleSymbolic()
    • OptimizationProblemBuilder.score()
    • OptimizationProblemBuilder.pprint()
    • OptimizationProblemBuilder.toJson()
    • OptimizationProblemBuilder.fromJson()
    • OptimizationProblemBuilder.preprocess()
    • OptimizationProblemBuilder.getBounds()
    • OptimizationProblemBuilder.getProblem()
    • OptimizationProblemBuilder.solve()
• klampt.math.rootfind module
  • setFTolerance()
  • setXTolerance()
  • setVectorField()
  • findRoots()
  • findRootsBounded()
  • destroy()
• klampt.math.vectorfield module
  • VectorFieldFunction
    • VectorFieldFunction.eval()
    • VectorFieldFunction.eval_i()
    • VectorFieldFunction.jacobian()
    • VectorFieldFunction.jacobian_ij()
    • VectorFieldFunction.num_vars()
    • VectorFieldFunction.num_fns()
    • VectorFieldFunction.jacobian_numeric()
  • CompositeVectorFieldFunction
    • CompositeVectorFieldFunction.eval()
    • CompositeVectorFieldFunction.eval_i()
    • CompositeVectorFieldFunction.jacobian()
    • CompositeVectorFieldFunction.jacobian_ij()

optimize	Classes to help set up and solve nonlinear, constrained optimization problems.
rootfind	Python interface to C++ nonlinear, multidimensional root finding routines
vectorfield	Helpers to make the rootfind module more convenient and Pythonic.