Module optimize 

Optimization and root finding.

Structs

GradientDescent

The method of gradient descent.

NewtonRaphson

The Newton-Raphson method.

Tolerances

Absolute error tolerances.

Enums

EqualityConstraint

Possible equality constraints.

LineSearch

Available line search algorithms.

LineSearchError

Possible errors encountered during line search.

OptimizationError

Possible errors encountered during optimization.

SolveStrategy

Possible strategies for problems split into global and local variables.

TrustRegion

How far a step is trusted to follow the model it was built from.

Traits

FirstOrderOptimization

First-order optimization algorithms.

FirstOrderRootFinding

First-order root-finding algorithms.

FirstOrderRootFindingBlock

First-order root-finding algorithms for problems split into global and local variables.

FirstOrderRootFindingIncremental

First-order root-finding algorithms that hand out each increment before applying it.

SecondOrderOptimization

Second-order optimization algorithms.

SecondOrderOptimizationBlock

Second-order optimization algorithms for problems split into global and local variables.

SecondOrderOptimizationIncremental

Second-order optimization algorithms that hand out each increment before applying it.

ZerothOrderRootFinding

Zeroth-order root-finding algorithms.

Type Aliases

StepSize

The step size taking a decrement of type D to an increment of X.