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* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.commons.math3.random;
import java.io.Serializable;
import org.apache.commons.math3.util.FastMath;
This abstract class implements the WELL class of pseudo-random number generator
from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
This generator is described in a paper by François Panneton,
Pierre L'Ecuyer and Makoto Matsumoto Improved
Long-Period Generators Based on Linear Recurrences Modulo 2 ACM
Transactions on Mathematical Software, 32, 1 (2006). The errata for the paper
are in wellrng-errata.txt.
See Also: Since: 2.2
/** This abstract class implements the WELL class of pseudo-random number generator
* from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
* <p>This generator is described in a paper by François Panneton,
* Pierre L'Ecuyer and Makoto Matsumoto <a
* href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng.pdf">Improved
* Long-Period Generators Based on Linear Recurrences Modulo 2</a> ACM
* Transactions on Mathematical Software, 32, 1 (2006). The errata for the paper
* are in <a href="http://www.iro.umontreal.ca/~lecuyer/myftp/papers/wellrng-errata.txt">wellrng-errata.txt</a>.</p>
* @see <a href="http://www.iro.umontreal.ca/~panneton/WELLRNG.html">WELL Random number generator</a>
* @since 2.2
*/
public abstract class AbstractWell extends BitsStreamGenerator implements Serializable {
Serializable version identifier. /** Serializable version identifier. */
private static final long serialVersionUID = -817701723016583596L;
Current index in the bytes pool. /** Current index in the bytes pool. */
protected int index;
Bytes pool. /** Bytes pool. */
protected final int[] v;
Index indirection table giving for each index its predecessor taking table size into account. /** Index indirection table giving for each index its predecessor taking table size into account. */
protected final int[] iRm1;
Index indirection table giving for each index its second predecessor taking table size into account. /** Index indirection table giving for each index its second predecessor taking table size into account. */
protected final int[] iRm2;
Index indirection table giving for each index the value index + m1 taking table size into account. /** Index indirection table giving for each index the value index + m1 taking table size into account. */
protected final int[] i1;
Index indirection table giving for each index the value index + m2 taking table size into account. /** Index indirection table giving for each index the value index + m2 taking table size into account. */
protected final int[] i2;
Index indirection table giving for each index the value index + m3 taking table size into account. /** Index indirection table giving for each index the value index + m3 taking table size into account. */
protected final int[] i3;
Creates a new random number generator.
The instance is initialized using the current time plus the
system identity hash code of this instance as the seed.
Params: - k – number of bits in the pool (not necessarily a multiple of 32)
- m1 – first parameter of the algorithm
- m2 – second parameter of the algorithm
- m3 – third parameter of the algorithm
/** Creates a new random number generator.
* <p>The instance is initialized using the current time plus the
* system identity hash code of this instance as the seed.</p>
* @param k number of bits in the pool (not necessarily a multiple of 32)
* @param m1 first parameter of the algorithm
* @param m2 second parameter of the algorithm
* @param m3 third parameter of the algorithm
*/
protected AbstractWell(final int k, final int m1, final int m2, final int m3) {
this(k, m1, m2, m3, null);
}
Creates a new random number generator using a single int seed.
Params: - k – number of bits in the pool (not necessarily a multiple of 32)
- m1 – first parameter of the algorithm
- m2 – second parameter of the algorithm
- m3 – third parameter of the algorithm
- seed – the initial seed (32 bits integer)
/** Creates a new random number generator using a single int seed.
* @param k number of bits in the pool (not necessarily a multiple of 32)
* @param m1 first parameter of the algorithm
* @param m2 second parameter of the algorithm
* @param m3 third parameter of the algorithm
* @param seed the initial seed (32 bits integer)
*/
protected AbstractWell(final int k, final int m1, final int m2, final int m3, final int seed) {
this(k, m1, m2, m3, new int[] { seed });
}
Creates a new random number generator using an int array seed.
Params: - k – number of bits in the pool (not necessarily a multiple of 32)
- m1 – first parameter of the algorithm
- m2 – second parameter of the algorithm
- m3 – third parameter of the algorithm
- seed – the initial seed (32 bits integers array), if null
the seed of the generator will be related to the current time
/** Creates a new random number generator using an int array seed.
* @param k number of bits in the pool (not necessarily a multiple of 32)
* @param m1 first parameter of the algorithm
* @param m2 second parameter of the algorithm
* @param m3 third parameter of the algorithm
* @param seed the initial seed (32 bits integers array), if null
* the seed of the generator will be related to the current time
*/
protected AbstractWell(final int k, final int m1, final int m2, final int m3, final int[] seed) {
// the bits pool contains k bits, k = r w - p where r is the number
// of w bits blocks, w is the block size (always 32 in the original paper)
// and p is the number of unused bits in the last block
final int w = 32;
final int r = (k + w - 1) / w;
this.v = new int[r];
this.index = 0;
// precompute indirection index tables. These tables are used for optimizing access
// they allow saving computations like "(j + r - 2) % r" with costly modulo operations
iRm1 = new int[r];
iRm2 = new int[r];
i1 = new int[r];
i2 = new int[r];
i3 = new int[r];
for (int j = 0; j < r; ++j) {
iRm1[j] = (j + r - 1) % r;
iRm2[j] = (j + r - 2) % r;
i1[j] = (j + m1) % r;
i2[j] = (j + m2) % r;
i3[j] = (j + m3) % r;
}
// initialize the pool content
setSeed(seed);
}
Creates a new random number generator using a single long seed.
Params: - k – number of bits in the pool (not necessarily a multiple of 32)
- m1 – first parameter of the algorithm
- m2 – second parameter of the algorithm
- m3 – third parameter of the algorithm
- seed – the initial seed (64 bits integer)
/** Creates a new random number generator using a single long seed.
* @param k number of bits in the pool (not necessarily a multiple of 32)
* @param m1 first parameter of the algorithm
* @param m2 second parameter of the algorithm
* @param m3 third parameter of the algorithm
* @param seed the initial seed (64 bits integer)
*/
protected AbstractWell(final int k, final int m1, final int m2, final int m3, final long seed) {
this(k, m1, m2, m3, new int[] { (int) (seed >>> 32), (int) (seed & 0xffffffffl) });
}
Reinitialize the generator as if just built with the given int seed.
The state of the generator is exactly the same as a new
generator built with the same seed.
Params: - seed – the initial seed (32 bits integer)
/** Reinitialize the generator as if just built with the given int seed.
* <p>The state of the generator is exactly the same as a new
* generator built with the same seed.</p>
* @param seed the initial seed (32 bits integer)
*/
@Override
public void setSeed(final int seed) {
setSeed(new int[] { seed });
}
Reinitialize the generator as if just built with the given int array seed.
The state of the generator is exactly the same as a new
generator built with the same seed.
Params: - seed – the initial seed (32 bits integers array). If null
the seed of the generator will be the system time plus the system identity
hash code of the instance.
/** Reinitialize the generator as if just built with the given int array seed.
* <p>The state of the generator is exactly the same as a new
* generator built with the same seed.</p>
* @param seed the initial seed (32 bits integers array). If null
* the seed of the generator will be the system time plus the system identity
* hash code of the instance.
*/
@Override
public void setSeed(final int[] seed) {
if (seed == null) {
setSeed(System.currentTimeMillis() + System.identityHashCode(this));
return;
}
System.arraycopy(seed, 0, v, 0, FastMath.min(seed.length, v.length));
if (seed.length < v.length) {
for (int i = seed.length; i < v.length; ++i) {
final long l = v[i - seed.length];
v[i] = (int) ((1812433253l * (l ^ (l >> 30)) + i) & 0xffffffffL);
}
}
index = 0;
clear(); // Clear normal deviate cache
}
Reinitialize the generator as if just built with the given long seed.
The state of the generator is exactly the same as a new
generator built with the same seed.
Params: - seed – the initial seed (64 bits integer)
/** Reinitialize the generator as if just built with the given long seed.
* <p>The state of the generator is exactly the same as a new
* generator built with the same seed.</p>
* @param seed the initial seed (64 bits integer)
*/
@Override
public void setSeed(final long seed) {
setSeed(new int[] { (int) (seed >>> 32), (int) (seed & 0xffffffffl) });
}
{@inheritDoc} /** {@inheritDoc} */
@Override
protected abstract int next(final int bits);
}