ExponentialInterpolation

java.lang.Object

toxi.math.ExponentialInterpolation

All Implemented Interfaces:: InterpolateStrategy

public class ExponentialInterpolation extends Object implements InterpolateStrategy

Exponential curve interpolation with adjustable exponent. Use exp in the following ranges to achieve these effects:

0.0 < x < 1.0 : ease in (steep changes towards b)
1.0 : same as LinearInterpolation
> 1.0 : ease-out (steep changes from a)

Constructor Summary

Constructors

Constructor

Description

ExponentialInterpolation()

Default constructor uses square parabola (exp=2)

ExponentialInterpolation(float exp)
Method Summary

Modifier and Type

Method

Description

double

interpolate(double a, double b, double f)

Implements an interpolation equation using double precision values.

float

interpolate(float a, float b, float f)

Implements an interpolation equation using float values.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details
- ExponentialInterpolation
  
  public ExponentialInterpolation()
  
  Default constructor uses square parabola (exp=2)
- ExponentialInterpolation
  
  public ExponentialInterpolation(float exp)
  
  Parameters:
  
  exp - curve exponent
Method Details
- interpolate
  
  public double interpolate(double a, double b, double f)
  
  Description copied from interface: InterpolateStrategy
  
  Implements an interpolation equation using double precision values.
  
  Specified by:
  
  interpolate in interface InterpolateStrategy
  
  Parameters:
  
  a - current value
  
  b - target value
  
  f - normalized interpolation factor (0.0 .. 1.0)
  
  Returns:
  
  interpolated value
- interpolate
  
  public float interpolate(float a, float b, float f)
  
  Description copied from interface: InterpolateStrategy
  
  Implements an interpolation equation using float values.
  
  Specified by:
  
  interpolate in interface InterpolateStrategy
  
  Parameters:
  
  a - current value
  
  b - target value
  
  f - normalized interpolation factor (0.0 .. 1.0)
  
  Returns:
  
  interpolated value