C# Class SwarmOps.Tools

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Méthodes publiques

Méthode	Description
ArrayToString ( double x ) : string	Convert an array of System.double values to a string.
ArrayToString ( double x, int digits ) : string	Convert an array of System.double values to a string.
ArrayToStringRaw ( double x ) : string	Convert an array of System.double values to a string. Not formatted like a C# array.
ArrayToStringRaw ( double x, int digits ) : string	Convert an array of System.double values to a string. Not formattet like a C# array.
BetterFeasible ( bool oldFeasible, bool newFeasible ) : bool	Return whether feasibility (constraint satisfaction) of new candidate solution is same as or better than feasibility of old candidate solution.
BetterFeasibleFitness ( bool oldFeasible, bool newFeasible, double oldFitness, double newFitness ) : bool	Return whether the new candidate solution is better than the old, depending on their feasibility (constraint satisfaction) and fitness.
BetweenBounds ( double x, double lower, double upper ) : bool	Return whether array of values is between lower and upper boundaries.
Bound ( double x, double lower, double upper ) : double	Bound a value between lower and upper boundaries.
Bound ( double &x, double lower, double upper ) : void	Bound array of values between lower and upper boundaries.
Denormalize ( double x ) : double	Return denormalized version of x. This is useful for avoiding expensive CPU usage when x underflows.
Denormalize ( double &x ) : void	Denormalize an array.
DenormalizeTruncate ( double x ) : double	If Abs(x) is below a limit then it is set to zero.
FormatNumber ( double d ) : string	Convert numeric value d to a string with convenient formatting.
FormatPercent ( double d ) : string	Convert numeric value d to a percentage string, e.g. d==0.253212 returns string "25.32%"
Initialize ( double &x, double value ) : void	Initialize array with value.
InitializeRange ( double &x, double lower, double upper ) : void	Initialize array with the range between the boundaries. That is, x[i] = upper[i]-lower[i].
InitializeUniform ( double &x, double lower, double upper ) : void	Initialize array with uniform random values between given boundaries.
NewMatrix ( int dim1, int dim2 ) : double[][]	Allocate and return a new matrix double[dim1][dim2].
Norm ( double x ) : double	Euclidian norm (or length) of a numeric vector.
NumberToString ( double x, int digits ) : string	Convert a double-value to a string, formatted for array output.
PrintNewline ( ) : void	Print a newline to Console.
PrintParameters ( Problem problem, double parameters ) : void	Print parameters using names associated with an optimization problem.
PrintSolution ( double parameters, double fitness, double fitnessLimit, bool oldFeasible, bool newFeasible, bool formatAsArray ) : void	Print parameters, fitness and feasibility to Console, and print a marking if fitness was an improvement to fitnessLimit.
Sample ( double x, double range ) : double	Pick a uniform random sample from [x-range, x+range].
SampleBounded ( double x, double range, double lowerBound, double upperBound ) : double	First bound the sampling range [x-range, x+range] using lowerBound and upperBound respectively, and then pick a uniform random sample from the bounded range. This avoids samples being boundary points.

Method Details

ArrayToString() public static méthode

Convert an array of System.double values to a string.

public static ArrayToString ( double x ) : string
x	double	Array of values to be converted to string.
Résultat	string

ArrayToString() public static méthode

Convert an array of System.double values to a string.

public static ArrayToString ( double x, int digits ) : string
x	double	Array of values to be converted to string.
digits	int	Number of digits for each value.
Résultat	string

ArrayToStringRaw() public static méthode

Convert an array of System.double values to a string. Not formatted like a C# array.

public static ArrayToStringRaw ( double x ) : string
x	double	Array of values to be converted to string.
Résultat	string

ArrayToStringRaw() public static méthode

Convert an array of System.double values to a string. Not formattet like a C# array.

public static ArrayToStringRaw ( double x, int digits ) : string
x	double	Array of values to be converted to string.
digits	int	Number of digits for each value.
Résultat	string

BetterFeasible() public static méthode

Return whether feasibility (constraint satisfaction) of new candidate solution is same as or better than feasibility of old candidate solution.

public static BetterFeasible ( bool oldFeasible, bool newFeasible ) : bool
oldFeasible	bool	Feasibility of old candidate solution.
newFeasible	bool	Feasibility of new candidate solution.
Résultat	bool

BetterFeasibleFitness() public static méthode

Return whether the new candidate solution is better than the old, depending on their feasibility (constraint satisfaction) and fitness.

public static BetterFeasibleFitness ( bool oldFeasible, bool newFeasible, double oldFitness, double newFitness ) : bool
oldFeasible	bool	Feasibility of old candidate solution.
newFeasible	bool	Feasibility of new candidate solution.
oldFitness	double	Fitness of old candidate solution.
newFitness	double	Fitness of new candidate solution.
Résultat	bool

BetweenBounds() public static méthode

Return whether array of values is between lower and upper boundaries.

public static BetweenBounds ( double x, double lower, double upper ) : bool
x	double	Array of values to be bounded.
lower	double	Lower boundaries.
upper	double	Upper boundaries.
Résultat	bool

Bound() public static méthode

Bound a value between lower and upper boundaries.

public static Bound ( double x, double lower, double upper ) : double
x	double	Parameter to be bounded.
lower	double	Lower boundary.
upper	double	Upper boundary.
Résultat	double

Bound() public static méthode

Bound array of values between lower and upper boundaries.

public static Bound ( double &x, double lower, double upper ) : void
x	double	Array of values to be bounded.
lower	double	Lower boundaries.
upper	double	Upper boundaries.
Résultat	void

Denormalize() public static méthode

Return denormalized version of x. This is useful for avoiding expensive CPU usage when x underflows.

public static Denormalize ( double x ) : double
x	double
Résultat	double

Denormalize() public static méthode

Denormalize an array.

public static Denormalize ( double &x ) : void
x	double
Résultat	void

DenormalizeTruncate() public static méthode

If Abs(x) is below a limit then it is set to zero.

public static DenormalizeTruncate ( double x ) : double
x	double
Résultat	double

FormatNumber() public static méthode

Convert numeric value d to a string with convenient formatting.

public static FormatNumber ( double d ) : string
d	double
Résultat	string

FormatPercent() public static méthode

Convert numeric value d to a percentage string, e.g. d==0.253212 returns string "25.32%"

public static FormatPercent ( double d ) : string
d	double
Résultat	string

Initialize() public static méthode

Initialize array with value.

public static Initialize ( double &x, double value ) : void
x	double	Array to be initialized.
value	double	Value.
Résultat	void

InitializeRange() public static méthode

Initialize array with the range between the boundaries. That is, x[i] = upper[i]-lower[i].

public static InitializeRange ( double &x, double lower, double upper ) : void
x	double	Array to be initialized.
lower	double	Lower boundary.
upper	double	Upper boundary.
Résultat	void

InitializeUniform() public static méthode

Initialize array with uniform random values between given boundaries.

public static InitializeUniform ( double &x, double lower, double upper ) : void
x	double	Array to be initialized.
lower	double	Lower boundary.
upper	double	Upper boundary.
Résultat	void

NewMatrix() public static méthode

Allocate and return a new matrix double[dim1][dim2].

public static NewMatrix ( int dim1, int dim2 ) : double[][]
dim1	int
dim2	int
Résultat	double[][]

Norm() public static méthode

Euclidian norm (or length) of a numeric vector.

public static Norm ( double x ) : double
x	double
Résultat	double

NumberToString() public static méthode

Convert a double-value to a string, formatted for array output.

public static NumberToString ( double x, int digits ) : string
x	double	Value to convert.
digits	int	Number of digits.
Résultat	string

PrintNewline() public static méthode

Print a newline to Console.

public static PrintNewline ( ) : void
Résultat	void

PrintParameters() public static méthode

Print parameters using names associated with an optimization problem.

public static PrintParameters ( Problem problem, double parameters ) : void
problem	Problem	Optimization problem with associated parameter-names.
parameters	double	Parameters to be printed.
Résultat	void

PrintSolution() public static méthode

Print parameters, fitness and feasibility to Console, and print a marking if fitness was an improvement to fitnessLimit.

public static PrintSolution ( double parameters, double fitness, double fitnessLimit, bool oldFeasible, bool newFeasible, bool formatAsArray ) : void
parameters	double
fitness	double
fitnessLimit	double
oldFeasible	bool
newFeasible	bool
formatAsArray	bool
Résultat	void

Sample() public static méthode

Pick a uniform random sample from [x-range, x+range].

public static Sample ( double x, double range ) : double
x	double
range	double
Résultat	double

SampleBounded() public static méthode

First bound the sampling range [x-range, x+range] using lowerBound and upperBound respectively, and then pick a uniform random sample from the bounded range. This avoids samples being boundary points.

public static SampleBounded ( double x, double range, double lowerBound, double upperBound ) : double
x	double
range	double
lowerBound	double
upperBound	double
Résultat	double