A B C D E F G H I L M N O P R S U X

A

add(O, double) - Method in class mikera.randomz.ProbabilityPicker

B

best(int, int, int) - Static method in class mikera.util.Rand

sum of best r from n s-sided dice

binary(double) - Static method in class mikera.util.Rand

binarySample(float[], int, int) - Static method in class mikera.util.Rand

binarySample(double[], int, int) - Static method in class mikera.util.Rand

Randomises the temp array to 0.0 or 1.0 according to the probabilities in the array

binomialChance(int, int, double) - Static method in class mikera.util.Rand

C

chance(double) - Static method in class mikera.util.Rand

Returns true with a given probability

chance(float) - Static method in class mikera.util.Rand

Returns true with a given probability

childIndex(int, int) - Static method in class mikera.randomz.ProbabilityPicker

chooseIntegers(int[], int, int, int) - Static method in class mikera.util.Rand

Chooses a set of distinct integers from a range 0 to maxValue-1 Resulting integers are sorted

combinations(int, int) - Static method in class mikera.util.Rand

cumulativeBinomialChance(int, int, double) - Static method in class mikera.util.Rand

Returns the probability of up to r successes in n trials, each with probability of success p

D

d(int, int) - Static method in class mikera.util.Rand

Calculates the sum of (number) x (sides)-sided dice

d(int) - Static method in class mikera.util.Rand

simulates a dice roll with the given number of sides

d10() - Static method in class mikera.util.Rand

d100() - Static method in class mikera.util.Rand

d12() - Static method in class mikera.util.Rand

d20() - Static method in class mikera.util.Rand

d3() - Static method in class mikera.util.Rand

d4() - Static method in class mikera.util.Rand

d6() - Static method in class mikera.util.Rand

d8() - Static method in class mikera.util.Rand

E

equals(Object) - Method in class mikera.util.Random

equals(Random) - Method in class mikera.util.Random

exp(double) - Static method in class mikera.util.Rand

Returns a random sample from an exponential distribution

F

factorial(int) - Static method in class mikera.util.Rand

factorialRatio(int, int) - Static method in class mikera.util.Rand

Calculates n!/r! Avoids the overhead of calculating the terms which cancel out

fillBinary(float[], int, int) - Static method in class mikera.util.Rand

fillBinary(double[], int, int, double) - Static method in class mikera.util.Rand

fillGaussian(float[], int, int, float, float) - Static method in class mikera.util.Rand

fillGaussian(double[], int, int, double, double) - Static method in class mikera.util.Rand

fillUniform(float[], int, int) - Static method in class mikera.util.Rand

G

geom(double) - Static method in class mikera.util.Rand

Returns a sample from a Geometric distribution Discrete distribution with decay rate p Mean = (1-p) / p Probability mass function for each integer output k = p.(1-p)^k

get(O) - Method in class mikera.randomz.ProbabilityPicker

getCount() - Method in class mikera.randomz.ProbabilityPicker

getGenerator() - Static method in class mikera.randomz.Randomz

Creates a random number generator

getIndex(O) - Method in class mikera.randomz.ProbabilityPicker

getSeed() - Method in class mikera.util.Random

getTotal() - Method in class mikera.randomz.ProbabilityPicker

H

hashCode() - Method in class mikera.util.Random

I

indexFromWeights(double[]) - Static method in class mikera.util.Rand

L

logProbabilityChance(double, double) - Static method in class mikera.randomz.Probabilities

Calculate chance of lp0 being chosen vs lp1 both expressed in log probabilities

M

mikera.randomz - package mikera.randomz

mikera.util - package mikera.util

N

n(double, double) - Static method in class mikera.util.Rand

Generates a normal distributed number with the given mean and standard deviation

next(int) - Method in class mikera.util.Random

nextBoolean() - Static method in class mikera.util.Rand

Sample a random boolean value with 50% chance

nextByte() - Static method in class mikera.util.Rand

Sample a random (signed) byte

nextChar() - Static method in class mikera.util.Rand

Sample a random char

nextDouble() - Static method in class mikera.util.Rand

Returns standard double in range [0..1)

nextFloat() - Static method in class mikera.util.Rand

Sample a random float in range [0..1)

nextGaussian() - Static method in class mikera.util.Rand

nextInt() - Static method in class mikera.util.Rand

Sample a random signed 32-bit integer

nextLetter() - Static method in class mikera.util.Rand

Sample a random lowercase letter

nextLetterString(int) - Static method in class mikera.util.Rand

nextLong() - Static method in class mikera.util.Rand

Gets a long random value

nextLong() - Method in class mikera.util.Random

nextShort() - Static method in class mikera.util.Rand

Sample a random signed short value

nextString() - Static method in class mikera.util.Rand

O

order(int) - Static method in class mikera.randomz.ProbabilityPicker

otherIndex(int, int) - Static method in class mikera.util.Rand

Return a random index between 0 and max (exclusive) not equal to i

P

parentIndex(int) - Static method in class mikera.randomz.ProbabilityPicker

pick() - Method in class mikera.randomz.ProbabilityPicker

Picks a random object

pick(T[]) - Static method in class mikera.util.Rand

Picks a random item from a given array

pick(List<T>) - Static method in class mikera.util.Rand

Picks a random item from a given list

pick(Collection<T>) - Static method in class mikera.util.Rand

Picks a random item from a given collection

po(double) - Static method in class mikera.util.Rand

Poisson distribution

po(int, int) - Static method in class mikera.util.Rand

Draw a sample from the possion distribution with parameter = numerator / denominator

Probabilities - Class in mikera.randomz

Probabilities() - Constructor for class mikera.randomz.Probabilities

ProbabilityPicker<O> - Class in mikera.randomz

ProbabilityPicker() - Constructor for class mikera.randomz.ProbabilityPicker

R

r(int) - Static method in class mikera.util.Rand

Random number from zero to s-1

Rand - Class in mikera.util

Rand() - Constructor for class mikera.util.Rand

randIntegers(int[], int, int, int) - Static method in class mikera.util.Rand

Creates a set of n random integers from a range of 0 to maxValue-1

Random - Class in mikera.util

Implementation of Random class using XORShift RNG

Random() - Constructor for class mikera.util.Random

Randomz - Class in mikera.randomz

Static method class for random functions

Randomz() - Constructor for class mikera.randomz.Randomz

range(int, int) - Static method in class mikera.util.Rand

Returns random number uniformly distributed in inclusive [n1, n2] range.

remove(Object) - Method in class mikera.randomz.ProbabilityPicker

round(double) - Static method in class mikera.util.Rand

Randomly rounds to the nearest integer

S

setSeed(long) - Method in class mikera.util.Random

shuffle(T[]) - Static method in class mikera.util.Rand

Randomly shuffles all elements in a given array

sig(float) - Static method in class mikera.util.Rand

logistic sigmoid probability

sigmoid(double) - Static method in class mikera.util.Rand

Sigmoid function

swap(int, int) - Method in class mikera.randomz.ProbabilityPicker

U

u() - Static method in class mikera.util.Rand

Sample a random uniform double in range [0..1)

u(double) - Static method in class mikera.util.Rand

Sample a random uniform double in range [0..max)

u(double, double) - Static method in class mikera.util.Rand

Sample a random uniform double in the range [min..max)

update(O, double) - Method in class mikera.randomz.ProbabilityPicker

X

xorShift32(int) - Static method in class mikera.util.Rand

XORShift algorithm - credit to George Marsaglia!

xorShift64(long) - Static method in class mikera.util.Rand

XORShift algorithm - very fast psuedo-random number generator Credit to George Marsaglia!

A B C D E F G H I L M N O P R S U X