Accord.NET Framework
Framework modules
Accord.Math.Optimization
AugmentedLagrangian Class
AugmentedLagrangianStatus Enumeration
BaseGradientOptimizationMethod Class
BaseLeastSquaresMethod Class
BaseOptimizationMethod Class
BinarySearch Class
BoundedBroydenFletcherGoldfarbShanno Class
BoundedBroydenFletcherGoldfarbShannoInnerStatus Class
BoundedBroydenFletcherGoldfarbShannoStatus Enumeration
BrentSearch Class
BrentSearchStatus Enumeration
BroydenFletcherGoldfarbShanno Class
BroydenFletcherGoldfarbShannoStatus Enumeration
Cobyla Class
CobylaStatus Enumeration
ConjugateGradient Class
ConjugateGradientCode Enumeration
ConjugateGradientMethod Enumeration
ConstraintExtensions Class
ConstraintType Enumeration
FanChenLinQuadraticOptimization Class
GaussNewton Class
GoldfarbIdnani Class
GoldfarbIdnaniStatus Enumeration
GradientDescent Class
IConstraint Interface
IFunctionOptimizationMethod(TInput, TOutput) Interface
IGradientOptimizationMethod Interface
IGradientOptimizationMethod(TInput, TOutput) Interface
ILeastSquaresMethod Interface
IObjectiveFunction Interface
IOptimizationMethod Interface
IOptimizationMethod(TCode) Interface
IOptimizationMethod(TInput, TOutput) Interface
IOptimizationMethod(TInput, TOutput, TCode) Interface
LeastSquaresFunction Delegate
LeastSquaresGradientFunction Delegate
LevenbergMarquardt Class
LinearConstraint Class
LinearConstraintCollection Class
LineSearch Enumeration
LineSearchFailedException Class
Munkres Class
NelderMead Class
NelderMeadStatus Enumeration
NonlinearConjugateGradient Class
NonlinearConstraint Class
NonlinearObjectiveFunction Class
OptimizationProgressEventArgs Class
QuadraticConstraint Class
QuadraticObjectiveFunction Class
ResilientBackpropagation Class
Subplex Class
TrustRegionNewtonMethod Class
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LineSearch Enumeration
Line search algorithms.

Namespace:  Accord.Math.Optimization
Assembly:  Accord.Math (in Accord.Math.dll) Version: 3.8.0
Syntax
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public enum LineSearch
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Members
  Member nameValueDescription
Default0 More-Thuente method.
BacktrackingArmijo1 Backtracking method with the Armijo condition.
RegularWolfe2 Backtracking method with regular Wolfe condition.
StrongWolfe3 Backtracking method with strong Wolfe condition.
See Also