SymbolicRegressionFunctions

java.lang.Object
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- jcgp.backend.function.FunctionSet
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  - jcgp.backend.function.SymbolicRegressionFunctions
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```
public class SymbolicRegressionFunctions
-extends FunctionSet
```
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This class contains all symbolic regression functions - (defined as double functions in the classic CGP implementation) - in static nested classes. -
- This is the function set used by SymbolicRegressionProblem.
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Author:
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Eduardo Pedroni
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See Also:
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SymbolicRegressionProblem
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Nested Class Summary

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Nested Classes
Modifier and Type	Class and Description
`static class`	`SymbolicRegressionFunctions.Absolute` - Absolute returns the positive value of input 0. -
`static class`	`SymbolicRegressionFunctions.Addition` - Addition returns the sum of inputs 0 and 1. -
`static class`	`SymbolicRegressionFunctions.Cosine` - Cosine function, in radians. -
`static class`	`SymbolicRegressionFunctions.CosineAB` - Cosine of sum. -
`static class`	`SymbolicRegressionFunctions.Division` - Protected division, returns the quotient of input 0 (the dividend) and input 1 (the divisor). -
`static class`	`SymbolicRegressionFunctions.Exponential` - Exponential function. -
`static class`	`SymbolicRegressionFunctions.HyperbolicCosine` - Returns the hyperbolic cosine of input 0. -
`static class`	`SymbolicRegressionFunctions.HyperbolicSine` - Returns the hyperbolic sine of input 0. -
`static class`	`SymbolicRegressionFunctions.HyperbolicTangent` - Returns the hyperbolic tangent of input 0. -
`static class`	`SymbolicRegressionFunctions.Hypotenuse` - Hypotenuse function. -
`static class`	`SymbolicRegressionFunctions.LogBaseTen` - Protected log base 10 function. -
`static class`	`SymbolicRegressionFunctions.Multiplication` - Multiplication returns the product of inputs 0 and 1. -
`static class`	`SymbolicRegressionFunctions.NaturalLog` - Protected natural log function. -
`static class`	`SymbolicRegressionFunctions.Power` - Power function. -
`static class`	`SymbolicRegressionFunctions.Reciprocal` - Protected reciprocal function, returns (1 / input 0). -
`static class`	`SymbolicRegressionFunctions.Sine` - Sine function, in radians. -
`static class`	`SymbolicRegressionFunctions.SineAB` - Sine of sum. -
`static class`	`SymbolicRegressionFunctions.SquareRoot` - Protected square root function, returns the square root of the absolute - value of input 0. -
`static class`	`SymbolicRegressionFunctions.Subtraction` - Subtraction returns the difference between inputs 0 and 1. -
`static class`	`SymbolicRegressionFunctions.Tangent` - Protected tangent function, in radians. -

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Field Summary
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Fields
Modifier and Type Field and Description
static double DIVISION_LIMIT
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Fields
Modifier and Type	Field and Description
`static double`	`DIVISION_LIMIT`

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Constructor Summary
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Constructors
Constructor and Description
SymbolicRegressionFunctions() -
Creates a new instance of SymbolicRegressionFunctions.
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Constructors
Constructor and Description
`SymbolicRegressionFunctions()` - Creates a new instance of SymbolicRegressionFunctions. -

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Method Summary
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  Methods inherited from class jcgp.backend.function.FunctionSet
  -disableFunction, enableFunction, getAllowedFunction, getAllowedFunctionCount, getFunction, getMaxArity, getTotalFunctionCount, isEnabled
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  Methods inherited from class java.lang.Object
  -equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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  Field Detail
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    DIVISION_LIMIT
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```
public static final double DIVISION_LIMIT
```
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    See Also:
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    Constant Field Values
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  Constructor Detail
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    SymbolicRegressionFunctions
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```
public SymbolicRegressionFunctions()
```
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    Creates a new instance of SymbolicRegressionFunctions.
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Class SymbolicRegressionFunctions

Nested Class Summary

Field Summary

Constructor Summary

Method Summary

Methods inherited from class jcgp.backend.function.FunctionSet

Methods inherited from class java.lang.Object

Field Detail

DIVISION_LIMIT

Constructor Detail

SymbolicRegressionFunctions