Optimization class
Optimization algorithms for finding minima of functions.
Constructors
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Static Methods
-
bfgs(
Function f, Function gradient, List< num> x0, {int maxIter = 1000, double tolerance = 1e-6}) → OptimizationResult - Minimizes a function using BFGS (Broyden-Fletcher-Goldfarb-Shanno) method.
-
conjugateGradient(
Function f, Function gradient, List< num> x0, {int maxIter = 1000, double tolerance = 1e-6}) → OptimizationResult - Minimizes a function using Conjugate Gradient method (Fletcher-Reeves).
-
gradientDescent(
Function f, Function gradient, List< num> x0, {double learningRate = 0.01, int maxIter = 1000, double tolerance = 1e-6}) → OptimizationResult - Minimizes a function using Gradient Descent.
-
nelderMead(
Function f, List< num> x0, {int maxIter = 1000, double tolerance = 1e-6}) → OptimizationResult - Minimizes a function using Nelder-Mead simplex method (derivative-free).
-
penaltyMethod(
Function f, List< Function> constraints, List<num> x0, {double penalty = 10.0, int maxIter = 1000, double tolerance = 1e-6}) → OptimizationResult - Minimizes a constrained function using penalty method.