Added in API level 35

Summary: Nested Classes | Methods

RandomGenerator

public interface RandomGenerator

java.util.random.RandomGenerator

Known indirect subclasses

Random, RandomGenerator.ArbitrarilyJumpableGenerator, RandomGenerator.JumpableGenerator, RandomGenerator.LeapableGenerator, RandomGenerator.SplittableGenerator, RandomGenerator.StreamableGenerator, SecureRandom, SplittableRandom, ThreadLocalRandom

Random	An instance of this class is used to generate a stream of pseudorandom numbers; its period is only 2⁴⁸.
RandomGenerator.ArbitrarilyJumpableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily jump forward, by an arbitrary amount, to a distant point in the state cycle.
RandomGenerator.JumpableGenerator	This interface is designed to provide a common protocol for objects that generate pseudorandom values and can easily jump forward, by a moderate amount (ex.
RandomGenerator.LeapableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily not only jump but also leap forward, by a large amount (ex.
RandomGenerator.SplittableGenerator	This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can be split into two objects (the original one and a new one) each of which obey that same protocol (and therefore can be recursively split indefinitely).
RandomGenerator.StreamableGenerator	The `StreamableGenerator` interface augments the `RandomGenerator` interface to provide methods that return streams of `RandomGenerator` objects.
SecureRandom	This class provides a cryptographically strong random number generator (RNG).
SplittableRandom	A generator of uniform pseudorandom values (with period 2⁶⁴) applicable for use in (among other contexts) isolated parallel computations that may generate subtasks.
ThreadLocalRandom	A random number generator (with period 2⁶⁴) isolated to the current thread.

The RandomGenerator interface is designed to provide a common protocol for objects that generate random or (more typically) pseudorandom sequences of numbers (or Boolean values). Such a sequence may be obtained by either repeatedly invoking a method that returns a single pseudorandomly chosen value, or by invoking a method that returns a stream of pseudorandomly chosen values.

Ideally, given an implicitly or explicitly specified range of values, each value would be chosen independently and uniformly from that range. In practice, one may have to settle for some approximation to independence and uniformity.

In the case of int, long, and boolean values, if there is no explicit specification of range, then the range includes all possible values of the type. In the case of float and double values, first a value is always chosen uniformly from the set of 2^w values between 0.0 (inclusive) and 1.0 (exclusive), where w is 23 for float values and 52 for double values, such that adjacent values differ by 2^−w (notice that this set is a subset of the set of all representable floating-point values between 0.0 (inclusive) and 1.0 (exclusive)); then if an explicit range was specified, then the chosen number is computationally scaled and translated so as to appear to have been chosen approximately uniformly from that explicit range.

Each method that returns a stream produces a stream of values each of which is chosen in the same manner as for a method that returns a single pseudorandomly chosen value. For example, if r implements RandomGenerator, then the method call r.ints(100) returns a stream of 100 int values. These are not necessarily the exact same values that would have been returned if instead r.nextInt() had been called 100 times; all that is guaranteed is that each value in the stream is chosen in a similar pseudorandom manner from the same range.

Every object that implements the RandomGenerator interface by using a pseudorandom algorithm is assumed to contain a finite amount of state. Using such an object to generate a pseudorandomly chosen value alters its state by computing a new state as a function of the current state, without reference to any information other than the current state. The number of distinct possible states of such an object is called its period. (Some implementations of the RandomGenerator interface may be truly random rather than pseudorandom, for example relying on the statistical behavior of a physical object to derive chosen values. Such implementations do not have a fixed period.)

As a rule, objects that implement the RandomGenerator interface need not be thread-safe. It is recommended that multithreaded applications use either ThreadLocalRandom or (preferably) pseudorandom number generators that implement the SplittableGenerator or JumpableGenerator interface.

Objects that implement RandomGenerator are typically not cryptographically secure. Consider instead using SecureRandom to get a cryptographically secure pseudorandom number generator for use by security-sensitive applications. Note, however, that SecureRandom does implement the RandomGenerator interface, so that instances of SecureRandom may be used interchangeably with other types of pseudorandom generators in applications that do not require a secure generator.

Unless explicit stated otherwise, the use of null for any method argument will cause a NullPointerException.

Summary

Nested classes
`interface`	`RandomGenerator.ArbitrarilyJumpableGenerator` This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily jump forward, by an arbitrary amount, to a distant point in the state cycle.
`interface`	`RandomGenerator.JumpableGenerator` This interface is designed to provide a common protocol for objects that generate pseudorandom values and can easily jump forward, by a moderate amount (ex.
`interface`	`RandomGenerator.LeapableGenerator` This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can easily not only jump but also leap forward, by a large amount (ex.
`interface`	`RandomGenerator.SplittableGenerator` This interface is designed to provide a common protocol for objects that generate sequences of pseudorandom values and can be split into two objects (the original one and a new one) each of which obey that same protocol (and therefore can be recursively split indefinitely).
`interface`	`RandomGenerator.StreamableGenerator` The `StreamableGenerator` interface augments the `RandomGenerator` interface to provide methods that return streams of `RandomGenerator` objects.

Public methods
`default DoubleStream`	`doubles(long streamSize, double randomNumberOrigin, double randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `double` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default DoubleStream`	`doubles(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `double` values.
`default DoubleStream`	`doubles()` Returns an effectively unlimited stream of pseudorandomly chosen `double` values.
`default DoubleStream`	`doubles(double randomNumberOrigin, double randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `double` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`static RandomGenerator`	`getDefault()` Returns a `RandomGenerator` meeting the minimal requirement of having an algorithm whose state bits are greater than or equal 64.
`default IntStream`	`ints(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `int` values.
`default IntStream`	`ints(int randomNumberOrigin, int randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `int` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default IntStream`	`ints()` Returns an effectively unlimited stream of pseudorandomly chosen `int` values.
`default IntStream`	`ints(long streamSize, int randomNumberOrigin, int randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `int` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default boolean`	`isDeprecated()` Return true if the implementation of RandomGenerator (algorithm) has been marked for deprecation.
`default LongStream`	`longs(long streamSize)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `long` values.
`default LongStream`	`longs()` Returns an effectively unlimited stream of pseudorandomly chosen `long` values.
`default LongStream`	`longs(long randomNumberOrigin, long randomNumberBound)` Returns an effectively unlimited stream of pseudorandomly chosen `long` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default LongStream`	`longs(long streamSize, long randomNumberOrigin, long randomNumberBound)` Returns a stream producing the given `streamSize` number of pseudorandomly chosen `long` values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).
`default boolean`	`nextBoolean()` Returns a pseudorandomly chosen `boolean` value.
`default void`	`nextBytes(byte[] bytes)` Fills a user-supplied byte array with generated byte values pseudorandomly chosen uniformly from the range of values between -128 (inclusive) and 127 (inclusive).
`default double`	`nextDouble()` Returns a pseudorandom `double` value between zero (inclusive) and one (exclusive).
`default double`	`nextDouble(double bound)` Returns a pseudorandomly chosen `double` value between zero (inclusive) and the specified bound (exclusive).
`default double`	`nextDouble(double origin, double bound)` Returns a pseudorandomly chosen `double` value between the specified origin (inclusive) and the specified bound (exclusive).
`default double`	`nextExponential()` Returns a nonnegative `double` value pseudorandomly chosen from an exponential distribution whose mean is 1.
`default float`	`nextFloat(float origin, float bound)` Returns a pseudorandomly chosen `float` value between the specified origin (inclusive) and the specified bound (exclusive).
`default float`	`nextFloat()` Returns a pseudorandom `float` value between zero (inclusive) and one (exclusive).
`default float`	`nextFloat(float bound)` Returns a pseudorandomly chosen `float` value between zero (inclusive) and the specified bound (exclusive).
`default double`	`nextGaussian(double mean, double stddev)` Returns a `double` value pseudorandomly chosen from a Gaussian (normal) distribution with a mean and standard deviation specified by the arguments.
`default double`	`nextGaussian()` Returns a `double` value pseudorandomly chosen from a Gaussian (normal) distribution whose mean is 0 and whose standard deviation is 1.
`default int`	`nextInt(int origin, int bound)` Returns a pseudorandomly chosen `int` value between the specified origin (inclusive) and the specified bound (exclusive).
`default int`	`nextInt()` Returns a pseudorandomly chosen `int` value.
`default int`	`nextInt(int bound)` Returns a pseudorandomly chosen `int` value between zero (inclusive) and the specified bound (exclusive).
`default long`	`nextLong(long origin, long bound)` Returns a pseudorandomly chosen `long` value between the specified origin (inclusive) and the specified bound (exclusive).
`default long`	`nextLong(long bound)` Returns a pseudorandomly chosen `long` value between zero (inclusive) and the specified bound (exclusive).
`abstract long`	`nextLong()` Returns a pseudorandomly chosen `long` value.
`static RandomGenerator`	`of(String name)` Returns an instance of `RandomGenerator` that utilizes the `name` algorithm.

Public methods

doubles

Added in API level 35

public DoubleStream doubles (long streamSize, 
                double randomNumberOrigin, 
                double randomNumberBound)

Returns a stream producing the given streamSize number of pseudorandomly chosen double values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextDouble(randomNumberOrigin, randomNumberBound).

Parameters
`streamSize`	`long`: the number of values to generate
`randomNumberOrigin`	`double`: the least value that can be produced
`randomNumberBound`	`double`: the upper bound (exclusive) for each value produced

Returns
`DoubleStream`	a stream of pseudorandomly chosen `double` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `streamSize` is less than zero, or `randomNumberOrigin` is not finite, or `randomNumberBound` is not finite, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`

doubles

Added in API level 35

public DoubleStream doubles (long streamSize)

Returns a stream producing the given streamSize number of pseudorandomly chosen double values.

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextDouble().

Parameters
`streamSize`	`long`: the number of values to generate

Returns
`DoubleStream`	a stream of pseudorandomly chosen `double` values

Throws
`IllegalArgumentException`	if `streamSize` is less than zero

doubles

Added in API level 35

public DoubleStream doubles ()

Returns an effectively unlimited stream of pseudorandomly chosen double values.

Implementation Note:

It is permitted to implement this method in a manner equivalent to doubles (Long.MAX_VALUE).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextDouble().

Returns
`DoubleStream`	a stream of pseudorandomly chosen `double` values

doubles

Added in API level 35

public DoubleStream doubles (double randomNumberOrigin, 
                double randomNumberBound)

Returns an effectively unlimited stream of pseudorandomly chosen double values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Note:

It is permitted to implement this method in a manner equivalent to doubles (Long.MAX_VALUE, randomNumberOrigin, randomNumberBound).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextDouble(randomNumberOrigin, randomNumberBound).

Parameters
`randomNumberOrigin`	`double`: the least value that can be produced
`randomNumberBound`	`double`: the upper bound (exclusive) for each value produced

Returns
`DoubleStream`	a stream of pseudorandomly chosen `double` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `randomNumberOrigin` is not finite, or `randomNumberBound` is not finite, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`

getDefault

Added in API level 35

public static RandomGenerator getDefault ()

Returns a RandomGenerator meeting the minimal requirement of having an algorithm whose state bits are greater than or equal 64.

Implementation Requirements:

Since algorithms will improve over time, there is no guarantee that this method will return the same algorithm over time.
The default implementation selects L32X64MixRandom.

Returns
`RandomGenerator`	a `RandomGenerator`

ints

Added in API level 35

public IntStream ints (long streamSize)

Returns a stream producing the given streamSize number of pseudorandomly chosen int values.

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextInt().

Parameters
`streamSize`	`long`: the number of values to generate

Returns
`IntStream`	a stream of pseudorandomly chosen `int` values

Throws
`IllegalArgumentException`	if `streamSize` is less than zero

ints

Added in API level 35

public IntStream ints (int randomNumberOrigin, 
                int randomNumberBound)

Returns an effectively unlimited stream of pseudorandomly chosen int values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Note:

It is permitted to implement this method in a manner equivalent to ints (Long.MAX_VALUE, randomNumberOrigin, randomNumberBound).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextInt(randomNumberOrigin, randomNumberBound).

Parameters
`randomNumberOrigin`	`int`: the least value that can be produced
`randomNumberBound`	`int`: the upper bound (exclusive) for each value produced

Returns
`IntStream`	a stream of pseudorandomly chosen `int` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `randomNumberOrigin` is greater than or equal to `randomNumberBound`

ints

Added in API level 35

public IntStream ints ()

Returns an effectively unlimited stream of pseudorandomly chosen int values.

Implementation Note:

It is permitted to implement this method in a manner equivalent to ints (Long.MAX_VALUE).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextInt().

Returns
`IntStream`	a stream of pseudorandomly chosen `int` values

ints

Added in API level 35

public IntStream ints (long streamSize, 
                int randomNumberOrigin, 
                int randomNumberBound)

Returns a stream producing the given streamSize number of pseudorandomly chosen int values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextInt(randomNumberOrigin, randomNumberBound).

Parameters
`streamSize`	`long`: the number of values to generate
`randomNumberOrigin`	`int`: the least value that can be produced
`randomNumberBound`	`int`: the upper bound (exclusive) for each value produced

Returns
`IntStream`	a stream of pseudorandomly chosen `int` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `streamSize` is less than zero, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`

isDeprecated

Added in API level 35

public boolean isDeprecated ()

Return true if the implementation of RandomGenerator (algorithm) has been marked for deprecation.

Implementation Note:

Random number generator algorithms evolve over time; new algorithms will be introduced and old algorithms will lose standing. If an older algorithm is deemed unsuitable for continued use, it will be marked as deprecated to indicate that it may be removed at some point in the future.

Implementation Requirements:

The default implementation checks for the @Deprecated annotation.

Returns
`boolean`	true if the implementation of RandomGenerator (algorithm) has been marked for deprecation

longs

Added in API level 35

public LongStream longs (long streamSize)

Returns a stream producing the given streamSize number of pseudorandomly chosen long values.

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextLong().

Parameters
`streamSize`	`long`: the number of values to generate

Returns
`LongStream`	a stream of pseudorandomly chosen `long` values

Throws
`IllegalArgumentException`	if `streamSize` is less than zero

longs

Added in API level 35

public LongStream longs ()

Returns an effectively unlimited stream of pseudorandomly chosen long values.

Implementation Note:

It is permitted to implement this method in a manner equivalent to longs (Long.MAX_VALUE).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextLong().

Returns
`LongStream`	a stream of pseudorandomly chosen `long` values

longs

Added in API level 35

public LongStream longs (long randomNumberOrigin, 
                long randomNumberBound)

Returns an effectively unlimited stream of pseudorandomly chosen long values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Note:

It is permitted to implement this method in a manner equivalent to longs (Long.MAX_VALUE, randomNumberOrigin, randomNumberBound).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextLong(randomNumberOrigin, randomNumberBound).

Parameters
`randomNumberOrigin`	`long`: the least value that can be produced
`randomNumberBound`	`long`: the upper bound (exclusive) for each value produced

Returns
`LongStream`	a stream of pseudorandomly chosen `long` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `randomNumberOrigin` is greater than or equal to `randomNumberBound`

longs

Added in API level 35

public LongStream longs (long streamSize, 
                long randomNumberOrigin, 
                long randomNumberBound)

Returns a stream producing the given streamSize number of pseudorandomly chosen long values, where each value is between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation produces a sequential stream that repeatedly calls nextLong(randomNumberOrigin, randomNumberBound).

Parameters
`streamSize`	`long`: the number of values to generate
`randomNumberOrigin`	`long`: the least value that can be produced
`randomNumberBound`	`long`: the upper bound (exclusive) for each value produced

Returns
`LongStream`	a stream of pseudorandomly chosen `long` values, each between the specified origin (inclusive) and the specified bound (exclusive)

Throws
`IllegalArgumentException`	if `streamSize` is less than zero, or `randomNumberOrigin` is greater than or equal to `randomNumberBound`

nextBoolean

Added in API level 35

public boolean nextBoolean ()

Returns a pseudorandomly chosen boolean value.

The default implementation tests the high-order bit (sign bit) of a value produced by nextInt(), on the grounds that some algorithms for pseudorandom number generation produce values whose high-order bits have better statistical quality than the low-order bits.

Implementation Requirements:

The default implementation produces a result based on the sign bit of a number generated by nextInt().

Returns
`boolean`	a pseudorandomly chosen `boolean` value

nextBytes

Added in API level 35

public void nextBytes (byte[] bytes)

Fills a user-supplied byte array with generated byte values pseudorandomly chosen uniformly from the range of values between -128 (inclusive) and 127 (inclusive).

Implementation Note:

Algorithm used to fill the byte array;

void nextBytes(byte[] bytes) {
               int i = 0;
               int len = bytes.length;
               for (int words = len >> 3; words--> 0; ) {
                   long rnd = nextLong();
                   for (int n = 8; n--> 0; rnd >>>= Byte.SIZE)
                       bytes[i++] = (byte)rnd;
               }
               if (i < len)
                   for (long rnd = nextLong(); i < len; rnd >>>= Byte.SIZE)
                       bytes[i++] = (byte)rnd;
           }

Implementation Requirements:

The default implementation produces results from repeated calls to nextLong().

Parameters
`bytes`	`byte`: the byte array to fill with pseudorandom bytes

Throws
`NullPointerException`	if bytes is null

nextDouble

Added in API level 35

public double nextDouble ()

Returns a pseudorandom double value between zero (inclusive) and one (exclusive).

Implementation Requirements:

The default implementation uses the 53 high-order bits from a call to nextLong().

Returns
`double`	a pseudorandom `double` value between zero (inclusive) and one (exclusive)

nextDouble

Added in API level 35

public double nextDouble (double bound)

Returns a pseudorandomly chosen double value between zero (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that bound is a positive finite double. Then invokes nextDouble(), scaling the result so that the final result lies between 0.0 (inclusive) and bound (exclusive).

Parameters
`bound`	`double`: the upper bound (exclusive) for the returned value. Must be positive and finite

Returns
`double`	a pseudorandomly chosen `double` value between zero (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `bound` is not both positive and finite

nextDouble

Added in API level 35

public double nextDouble (double origin, 
                double bound)

Returns a pseudorandomly chosen double value between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that origin and bound are positive finite doubles. Then calls nextDouble(), scaling and translating the result so that the final result lies between origin (inclusive) and bound (exclusive).

Parameters
`origin`	`double`: the least value that can be returned
`bound`	`double`: the upper bound (exclusive) for the returned value

Returns
`double`	a pseudorandomly chosen `double` value between the origin (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `origin` is not finite, or `bound` is not finite, or `origin` is greater than or equal to `bound`

nextExponential

Added in API level 35

public double nextExponential ()

Returns a nonnegative double value pseudorandomly chosen from an exponential distribution whose mean is 1.

Implementation Requirements:

The default implementation uses McFarland's fast modified ziggurat algorithm (largely table-driven, with rare cases handled by computation and rejection sampling). Walker's alias method for sampling a discrete distribution also plays a role.

Returns
`double`	a nonnegative `double` value pseudorandomly chosen from an exponential distribution

nextFloat

Added in API level 35

public float nextFloat (float origin, 
                float bound)

Returns a pseudorandomly chosen float value between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that origin and bound are positive finite floats. Then invokes nextFloat(), scaling and translating the result so that the final result lies between origin (inclusive) and bound (exclusive).

Parameters
`origin`	`float`: the least value that can be returned
`bound`	`float`: the upper bound (exclusive)

Returns
`float`	a pseudorandomly chosen `float` value between the origin (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `origin` is not finite, or `bound` is not finite, or `origin` is greater than or equal to `bound`

nextFloat

Added in API level 35

public float nextFloat ()

Returns a pseudorandom float value between zero (inclusive) and one (exclusive).

Implementation Requirements:

The default implementation uses the 24 high-order bits from a call to nextInt().

Returns
`float`	a pseudorandom `float` value between zero (inclusive) and one (exclusive)

nextFloat

Added in API level 35

public float nextFloat (float bound)

Returns a pseudorandomly chosen float value between zero (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that bound is a positive finite float. Then invokes nextFloat(), scaling the result so that the final result lies between 0.0f (inclusive) and bound (exclusive).

Parameters
`bound`	`float`: the upper bound (exclusive) for the returned value. Must be positive and finite

Returns
`float`	a pseudorandomly chosen `float` value between zero (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `bound` is not both positive and finite

nextGaussian

Added in API level 35

public double nextGaussian (double mean, 
                double stddev)

Returns a double value pseudorandomly chosen from a Gaussian (normal) distribution with a mean and standard deviation specified by the arguments.

Implementation Requirements:

The default implementation uses McFarland's fast modified ziggurat algorithm (largely table-driven, with rare cases handled by computation and rejection sampling). Walker's alias method for sampling a discrete distribution also plays a role.

Parameters
`mean`	`double`: the mean of the Gaussian distribution to be drawn from
`stddev`	`double`: the standard deviation (square root of the variance) of the Gaussian distribution to be drawn from

Returns
`double`	a `double` value pseudorandomly chosen from the specified Gaussian distribution

Throws
`IllegalArgumentException`	if `stddev` is negative

nextGaussian

Added in API level 35

public double nextGaussian ()

Returns a double value pseudorandomly chosen from a Gaussian (normal) distribution whose mean is 0 and whose standard deviation is 1.

Implementation Requirements:

The default implementation uses McFarland's fast modified ziggurat algorithm (largely table-driven, with rare cases handled by computation and rejection sampling). Walker's alias method for sampling a discrete distribution also plays a role.

Returns
`double`	a `double` value pseudorandomly chosen from a Gaussian distribution

nextInt

Added in API level 35

public int nextInt (int origin, 
                int bound)

Returns a pseudorandomly chosen int value between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that origin and bound are positive ints. Then invokes nextInt(), limiting the result to be greater that or equal origin and less than bound. If bound is a power of two then limiting is a simple masking operation. Otherwise, the result is re-calculated by invoking nextInt() until the result is greater than or equal origin and less than bound.

Parameters
`origin`	`int`: the least value that can be returned
`bound`	`int`: the upper bound (exclusive) for the returned value

Returns
`int`	a pseudorandomly chosen `int` value between the origin (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `origin` is greater than or equal to `bound`

nextInt

Added in API level 35

public int nextInt ()

Returns a pseudorandomly chosen int value.

Implementation Requirements:

The default implementation uses the 32 high-order bits from a call to nextLong().

Returns
`int`	a pseudorandomly chosen `int` value

nextInt

Added in API level 35

public int nextInt (int bound)

Returns a pseudorandomly chosen int value between zero (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that bound is a positive int. Then invokes nextInt(), limiting the result to be greater than or equal zero and less than bound. If bound is a power of two then limiting is a simple masking operation. Otherwise, the result is re-calculated by invoking nextInt() until the result is greater than or equal zero and less than bound.

Parameters
`bound`	`int`: the upper bound (exclusive) for the returned value. Must be positive.

Returns
`int`	a pseudorandomly chosen `int` value between zero (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `bound` is not positive

nextLong

Added in API level 35

public long nextLong (long origin, 
                long bound)

Returns a pseudorandomly chosen long value between the specified origin (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that origin and bound are positive longs. Then invokes nextLong(), limiting the result to be greater than or equal origin and less than bound. If bound is a power of two then limiting is a simple masking operation. Otherwise, the result is re-calculated by invoking nextLong() until the result is greater than or equal origin and less than bound.

Parameters
`origin`	`long`: the least value that can be returned
`bound`	`long`: the upper bound (exclusive) for the returned value

Returns
`long`	a pseudorandomly chosen `long` value between the origin (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `origin` is greater than or equal to `bound`

nextLong

Added in API level 35

public long nextLong (long bound)

Returns a pseudorandomly chosen long value between zero (inclusive) and the specified bound (exclusive).

Implementation Requirements:

The default implementation checks that bound is a positive long. Then invokes nextLong(), limiting the result to be greater than or equal zero and less than bound. If bound is a power of two then limiting is a simple masking operation. Otherwise, the result is re-calculated by invoking nextLong() until the result is greater than or equal zero and less than bound.

Parameters
`bound`	`long`: the upper bound (exclusive) for the returned value. Must be positive.

Returns
`long`	a pseudorandomly chosen `long` value between zero (inclusive) and the bound (exclusive)

Throws
`IllegalArgumentException`	if `bound` is not positive

nextLong

Added in API level 35

public abstract long nextLong ()

Returns a pseudorandomly chosen long value.

Returns
`long`	a pseudorandomly chosen `long` value

of

Added in API level 35

public static RandomGenerator of (String name)

Returns an instance of RandomGenerator that utilizes the name algorithm.

Parameters
`name`	`String`: Name of random number generator algorithm

Returns
`RandomGenerator`	An instance of `RandomGenerator`

Throws
`NullPointerException`	if name is null
`IllegalArgumentException`	if the named algorithm is not found

RandomGenerator

Summary

Nested classes

Public methods

Public methods

doubles

Implementation Requirements:

doubles

Implementation Requirements:

doubles

Implementation Note:

Implementation Requirements:

doubles

Implementation Note:

Implementation Requirements:

getDefault

Implementation Requirements:

ints

Implementation Requirements:

ints

Implementation Note:

Implementation Requirements:

ints

Implementation Note:

Implementation Requirements:

ints

Implementation Requirements:

isDeprecated

Implementation Note:

Implementation Requirements:

longs

Implementation Requirements:

longs

Implementation Note:

Implementation Requirements:

longs

Implementation Note:

Implementation Requirements:

longs

Implementation Requirements:

nextBoolean

Implementation Requirements:

nextBytes

Implementation Note:

Implementation Requirements:

nextDouble

Implementation Requirements:

nextDouble

Implementation Requirements:

nextDouble

Implementation Requirements:

nextExponential

Implementation Requirements:

nextFloat

Implementation Requirements:

nextFloat

Implementation Requirements:

nextFloat

Implementation Requirements:

nextGaussian

Implementation Requirements:

nextGaussian

Implementation Requirements:

nextInt

Implementation Requirements:

nextInt

Implementation Requirements:

nextInt

Implementation Requirements:

nextLong

Implementation Requirements:

nextLong

Implementation Requirements:

nextLong

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