A B C D E F G J L M N P R S T U W

A

accepts() - Method in class adams.data.conversion.RandomizeArray
Returns the class that is accepted as input.
accepts() - Method in class adams.data.conversion.RandomizeCollection
Returns the class that is accepted as input.
adams.data.conversion - package adams.data.conversion
 
adams.data.random - package adams.data.random
 
aTipText() - Method in class adams.data.random.Beta
Returns the tip text for this property.

B

Beta - Class in adams.data.random
Generates random numbers from a Beta random variable.
Beta() - Constructor for class adams.data.random.Beta
 
beta(double, double) - Method in class adams.data.random.Random
Generate a random number from a beta random variable.
BIG_PRIME - Static variable in class edu.cornell.lassp.houle.RngPack.Ranmar
The 46,009,220nd prime number, he largest prime less than 9*108.
bTipText() - Method in class adams.data.random.Beta
Returns the tip text for this property.

C

Cauchy - Class in adams.data.random
Generates random numbers from a cauchy random variable with specified mean and standard deviation.
Cauchy() - Constructor for class adams.data.random.Cauchy
 
cauchy(double, double) - Method in class adams.data.random.Random
Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf).
check() - Method in class adams.data.random.Beta
Performs optional checks.
check() - Method in class adams.data.random.Cauchy
Performs optional checks.
check() - Method in class adams.data.random.ChiSquare
Performs optional checks.
check() - Method in class adams.data.random.Exponential
Performs optional checks.
check() - Method in class adams.data.random.JMathArrayInt
Performs optional checks.
check() - Method in class adams.data.random.LogNormal
Performs optional checks.
check() - Method in class adams.data.random.Normal
Performs optional checks.
check() - Method in class adams.data.random.Triangular
Performs optional checks.
check() - Method in class adams.data.random.Uniform
Performs optional checks.
check() - Method in class adams.data.random.Weibull
Performs optional checks.
chi2(int) - Method in class adams.data.random.Random
Generate a random number from a Chi-2 random variable.
ChiSquare - Class in adams.data.random
Random generator that generates random doubles (0-1) using Java's java.util.Random class.
ChiSquare() - Constructor for class adams.data.random.ChiSquare
 
choose(int) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 
choose(int, int) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 
ClockSeed(Date) - Static method in class edu.cornell.lassp.houle.RngPack.RandomSeedable
Return a long integer seed given a date
ClockSeed() - Static method in class edu.cornell.lassp.houle.RngPack.RandomSeedable
Return a long integer seed calculated from the date.
clone() - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 
coin() - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 
coin(double) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 

D

defineOptions() - Method in class adams.data.conversion.RandomizeArray
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.conversion.RandomizeCollection
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.Beta
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.ChiSquare
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.Exponential
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.JMathArrayInt
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.Triangular
Adds options to the internal list of options.
defineOptions() - Method in class adams.data.random.Uniform
Adds options to the internal list of options.
DEFSEED - Static variable in class edu.cornell.lassp.houle.RngPack.Ranmar
Default seed.
degreesFreedomTipText() - Method in class adams.data.random.ChiSquare
Returns the tip text for this property.
dirac(double[], double[]) - Method in class adams.data.random.Random
Generate a random number from a discrete random variable.
doConvert() - Method in class adams.data.conversion.RandomizeArray
Performs the actual conversion.
doConvert() - Method in class adams.data.conversion.RandomizeCollection
Performs the actual conversion.
doNext() - Method in class adams.data.random.Beta
Returns the next random number.
doNext() - Method in class adams.data.random.Cauchy
Returns the next random number.
doNext() - Method in class adams.data.random.ChiSquare
Returns the next random number.
doNext() - Method in class adams.data.random.Exponential
Returns the next random number.
doNext() - Method in class adams.data.random.JMathArrayInt
Returns the next random number.
doNext() - Method in class adams.data.random.LogNormal
Returns the next random number.
doNext() - Method in class adams.data.random.Normal
Returns the next random number.
doNext() - Method in class adams.data.random.Triangular
Returns the next random number.
doNext() - Method in class adams.data.random.Uniform
Returns the next random number.
doNext() - Method in class adams.data.random.Weibull
Returns the next random number.

E

edu.cornell.lassp.houle.RngPack - package edu.cornell.lassp.houle.RngPack
 
Exponential - Class in adams.data.random
Generates random numbers from an Exponential random variable (Mean = 1/lambda, variance = 1/lambda^2).
Exponential() - Constructor for class adams.data.random.Exponential
 
exponential(double) - Method in class adams.data.random.Random
Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2).

F

f(double) - Method in interface adams.data.random.Random.Function
 

G

gaussian() - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
gaussian() uses the Box-Muller algorithm to transform raw()'s into gaussian deviates.
gaussian(double) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 
generates() - Method in class adams.data.conversion.RandomizeArray
Returns the class that is generated as output.
generates() - Method in class adams.data.conversion.RandomizeCollection
Returns the class that is generated as output.
getA() - Method in class adams.data.random.Beta
Returns the first parameter for the beta random variable.
getB() - Method in class adams.data.random.Beta
Returns the second parameter for the beta random variable.
getDefaultMean() - Method in class adams.data.random.Weibull
Returns the default mean to use.
getDegreesFreedom() - Method in class adams.data.random.ChiSquare
Returns the degrees of freedom to use.
getLambda() - Method in class adams.data.random.Exponential
Returns the first parameter for the beta random variable.
getMaxValue() - Method in class adams.data.random.JMathArrayInt
Returns the maximum value of the numbers to generate.
getMaxValue() - Method in class adams.data.random.Triangular
Returns the maximum value of the numbers to generate.
getMaxValue() - Method in class adams.data.random.Uniform
Returns the maximum value of the numbers to generate.
getMinValue() - Method in class adams.data.random.JMathArrayInt
Returns the minimum value of the numbers to generate.
getMinValue() - Method in class adams.data.random.Triangular
Returns the minimum value of the numbers to generate.
getMinValue() - Method in class adams.data.random.Uniform
Returns the minimum value of the numbers to generate.
getSeed() - Method in class adams.data.conversion.RandomizeArray
Returns the seed value.
getSeed() - Method in class adams.data.conversion.RandomizeCollection
Returns the seed value.
globalInfo() - Method in class adams.data.conversion.RandomizeArray
Returns a string describing the object.
globalInfo() - Method in class adams.data.conversion.RandomizeCollection
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Beta
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Cauchy
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.ChiSquare
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Exponential
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.JMathArrayInt
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.LogNormal
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Normal
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Triangular
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Uniform
Returns a string describing the object.
globalInfo() - Method in class adams.data.random.Weibull
Returns a string describing the object.

J

JMathArrayInt - Class in adams.data.random
Random generator that generates random integers using JMathArray's randInt method.
JMathArrayInt() - Constructor for class adams.data.random.JMathArrayInt
 

L

lambdaTipText() - Method in class adams.data.random.Exponential
Returns the tip text for this property.
LogNormal - Class in adams.data.random
Generates random numbers from a log normal distribution with specified mean and standard deviation.
LogNormal() - Constructor for class adams.data.random.LogNormal
 
logNormal(double, double) - Method in class adams.data.random.Random
Generate a random number from a LogNormal random variable.

M

m_A - Variable in class adams.data.random.Beta
the first parameter of the beta random variable.
m_B - Variable in class adams.data.random.Beta
the second parameter of the beta random variable.
m_DegreesFreedom - Variable in class adams.data.random.ChiSquare
the degrees of freedom to use.
m_Lambda - Variable in class adams.data.random.Exponential
the lambda parameter.
m_MaxValue - Variable in class adams.data.random.JMathArrayInt
the maximum value for the numbers to generate.
m_MaxValue - Variable in class adams.data.random.Triangular
the maximum value for the numbers to generate.
m_MaxValue - Variable in class adams.data.random.Uniform
the maximum value for the numbers to generate.
m_MinValue - Variable in class adams.data.random.JMathArrayInt
the minimum value for the numbers to generate.
m_MinValue - Variable in class adams.data.random.Triangular
the minimum value for the numbers to generate.
m_MinValue - Variable in class adams.data.random.Uniform
the minimum value for the numbers to generate.
m_RandEngine - Variable in class adams.data.random.Random
the random number generator.
m_Random - Variable in class adams.data.random.Beta
the random number generator to use.
m_Random - Variable in class adams.data.random.Cauchy
the actual generator.
m_Random - Variable in class adams.data.random.ChiSquare
the random number generator to use.
m_Random - Variable in class adams.data.random.Exponential
the random number generator to use.
m_Random - Variable in class adams.data.random.JMathArrayInt
the random number generator to use.
m_Random - Variable in class adams.data.random.LogNormal
the actual generator.
m_Random - Variable in class adams.data.random.Normal
the actual generator.
m_Random - Variable in class adams.data.random.Triangular
the random number generator to use.
m_Random - Variable in class adams.data.random.Uniform
the random number generator to use.
m_Random - Variable in class adams.data.random.Weibull
the actual generator.
m_Seed - Variable in class adams.data.conversion.RandomizeArray
the seed value.
m_Seed - Variable in class adams.data.conversion.RandomizeCollection
the seed value.
maxValueTipText() - Method in class adams.data.random.JMathArrayInt
Returns the tip text for this property.
maxValueTipText() - Method in class adams.data.random.Triangular
Returns the tip text for this property.
maxValueTipText() - Method in class adams.data.random.Uniform
Returns the tip text for this property.
minValueTipText() - Method in class adams.data.random.JMathArrayInt
Returns the tip text for this property.
minValueTipText() - Method in class adams.data.random.Triangular
Returns the tip text for this property.
minValueTipText() - Method in class adams.data.random.Uniform
Returns the tip text for this property.

N

Normal - Class in adams.data.random
Generates random numbers from a normal distribution with specified mean and standard deviation.
Normal() - Constructor for class adams.data.random.Normal
 
normal(double, double) - Method in class adams.data.random.Random
Generate a random number from a Gaussian (Normal) random variable.

P

powlaw(double, double) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
generate a power-law distribution with exponent alpha and lower cutoff cut

R

randInt(int, int) - Method in class adams.data.random.Random
Generate a random integer.
Random - Class in adams.data.random
Based on JMathArray's org.math.array.util.Random class.
Random() - Constructor for class adams.data.random.Random
Initializes the random number generator with a default (but fixed) seed value.
Random(long) - Constructor for class adams.data.random.Random
Initializes the random number generator with the specified seed value.
Random.Function - Interface in adams.data.random
Based on JMathArray's org.math.array.util.Function.
RandomElement - Class in edu.cornell.lassp.houle.RngPack
RandomElement is an abstract class that encapsulates random number generators.
RandomElement() - Constructor for class edu.cornell.lassp.houle.RngPack.RandomElement
 
RandomizeArray - Class in adams.data.conversion
Randomizes the order of the elements in the array.
The random number generator gets initialized every time with the given seed.
RandomizeArray() - Constructor for class adams.data.conversion.RandomizeArray
 
RandomizeCollection - Class in adams.data.conversion
Randomizes the order of the elements in the collection.
The random number generator gets initialized every time with the given seed.
RandomizeCollection() - Constructor for class adams.data.conversion.RandomizeCollection
 
RandomSeedable - Class in edu.cornell.lassp.houle.RngPack
RandomSeedable is an abstract class that extends the RandomElement class to include the ability to automatically generate a valid long seed from the clock.
RandomSeedable() - Constructor for class edu.cornell.lassp.houle.RngPack.RandomSeedable
 
Ranmar - Class in edu.cornell.lassp.houle.RngPack
RANMAR is a lagged Fibonacci generator proposed by Marsaglia and Zaman and is a good research grade generator.
Ranmar(int) - Constructor for class edu.cornell.lassp.houle.RngPack.Ranmar
Initialize Ranmar with a specified integer seed
Ranmar(long) - Constructor for class edu.cornell.lassp.houle.RngPack.Ranmar
Initialize Ranmar with a specified long seed
Ranmar() - Constructor for class edu.cornell.lassp.houle.RngPack.Ranmar
Initialize Ranmar with a default seed taken from Marsaglia and Zaman's paper.
Ranmar(Date) - Constructor for class edu.cornell.lassp.houle.RngPack.Ranmar
Seed RANMAR from the clock.
raw() - Method in class adams.data.random.Random
Generate a random number between 0 and 1.
raw() - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
The abstract method that must be defined to make a working RandomElement.
raw(double[], int) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
Fill part or all of an array with doubles.
raw(double[]) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
Fill an entire array with doubles.
raw() - Method in class edu.cornell.lassp.houle.RngPack.Ranmar
The generator
raw(double[], int) - Method in class edu.cornell.lassp.houle.RngPack.Ranmar
A version of the generator for filling arrays, inlined for speed
rejection(Random.Function, double, double, double) - Method in class adams.data.random.Random
Generate a random number from a random variable definied by its density function, using the rejection technic.
reset() - Method in class adams.data.random.Beta
Resets the generator.
reset() - Method in class adams.data.random.Cauchy
Resets the generator.
reset() - Method in class adams.data.random.ChiSquare
Resets the generator.
reset() - Method in class adams.data.random.Exponential
Resets the generator.
reset() - Method in class adams.data.random.JMathArrayInt
Resets the generator.
reset() - Method in class adams.data.random.LogNormal
Resets the generator.
reset() - Method in class adams.data.random.Normal
Resets the generator.
reset() - Method in class adams.data.random.Triangular
Resets the generator.
reset() - Method in class adams.data.random.Uniform
Resets the generator.
reset() - Method in class adams.data.random.Weibull
Resets the generator.

S

seedTipText() - Method in class adams.data.conversion.RandomizeArray
Returns the tip text for this property.
seedTipText() - Method in class adams.data.conversion.RandomizeCollection
Returns the tip text for this property.
setA(double) - Method in class adams.data.random.Beta
Sets the first parameter for the beta random variable.
setB(double) - Method in class adams.data.random.Beta
Sets the second parameter for the beta random variable.
setDegreesFreedom(int) - Method in class adams.data.random.ChiSquare
Sets the degrees of freedom to use.
setLambda(double) - Method in class adams.data.random.Exponential
Sets the first parameter for the beta random variable.
setMaxValue(int) - Method in class adams.data.random.JMathArrayInt
Sets the maximum value of the numbers to generate.
setMaxValue(double) - Method in class adams.data.random.Triangular
Sets the maximum value of the numbers to generate.
setMaxValue(double) - Method in class adams.data.random.Uniform
Sets the maximum value of the numbers to generate.
setMinValue(int) - Method in class adams.data.random.JMathArrayInt
Sets the minimum value of the numbers to generate.
setMinValue(double) - Method in class adams.data.random.Triangular
Sets the minimum value of the numbers to generate.
setMinValue(double) - Method in class adams.data.random.Uniform
Sets the minimum value of the numbers to generate.
setSeed(long) - Method in class adams.data.conversion.RandomizeArray
Sets the seed value.
setSeed(long) - Method in class adams.data.conversion.RandomizeCollection
Sets the seed value.

T

triangular(double, double) - Method in class adams.data.random.Random
Generate a random number from a symetric triangular random variable.
triangular(double, double, double) - Method in class adams.data.random.Random
Generate a random number from a non-symetric triangular random variable.
Triangular - Class in adams.data.random
Generates random numbers from a symetric triangular random variable.
Triangular() - Constructor for class adams.data.random.Triangular
 

U

uniform(double, double) - Method in class adams.data.random.Random
Generate a random number from a uniform random variable.
Uniform - Class in adams.data.random
Generates random numbers from a uniform random variable.
Uniform() - Constructor for class adams.data.random.Uniform
 
uniform(double, double) - Method in class edu.cornell.lassp.houle.RngPack.RandomElement
 

W

weibull(double, double) - Method in class adams.data.random.Random
Generate a random number from a Weibull random variable.
Weibull - Class in adams.data.random
Generates random numbers from a Weibull random variable with specified mean and standard deviation.
Weibull() - Constructor for class adams.data.random.Weibull
 

A B C D E F G J L M N P R S T U W

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