本文整理了Java中org.apache.mahout.math.jet.random.Gamma.randomDouble()方法的一些代码示例，展示了Gamma.randomDouble()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Gamma.randomDouble()方法的具体详情如下：
包路径：org.apache.mahout.math.jet.random.Gamma
类名称：Gamma
方法名：randomDouble

Gamma.randomDouble介绍

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代码示例

代码示例来源：origin: apache/mahout

b = 1.0 + 0.36788794412 * alpha;              // Step 1
while (true) {
 double p = b * randomDouble();
 if (p <= 1.0) {                       // Step 2. Case gds <= 1
  gds = Math.exp(Math.log(p) / alpha);
  if (Math.log(randomDouble()) <= -gds) {
   return gds / rate;
  if (Math.log(randomDouble()) <= (alpha - 1.0) * Math.log(gds)) {
   return gds / rate;
double v1;
do {
 v1 = 2.0 * randomDouble() - 1.0;
 double v2 = 2.0 * randomDouble() - 1.0;
 v12 = v1 * v1 + v2 * v2;
} while (v12 > 1.0);
double u = randomDouble();
if (d * u <= t * t * t) {
 return gds / rate;
 double e;
 do {
  e = -Math.log(randomDouble());
  u = randomDouble();
  u = u + u - 1.0;
  sign_u = u > 0 ? 1.0 : -1.0;

代码示例来源：origin: cloudera/mahout

b = 1.0 + 0.36788794412 * alpha;              // Step 1
while (true) {
 double p = b * randomDouble();
 if (p <= 1.0) {                       // Step 2. Case gds <= 1
  gds = Math.exp(Math.log(p) / alpha);
  if (Math.log(randomDouble()) <= -gds) {
   return gds / rate;
  if (Math.log(randomDouble()) <= (alpha - 1.0) * Math.log(gds)) {
   return gds / rate;
double v1;
do {
 v1 = 2.0 * randomDouble() - 1.0;
 double v2 = 2.0 * randomDouble() - 1.0;
 v12 = v1 * v1 + v2 * v2;
} while (v12 > 1.0);
double u = randomDouble();
if (d * u <= t * t * t) {
 return gds / rate;
 double e;
 do {
  e = -Math.log(randomDouble());
  u = randomDouble();
  u = u + u - 1.0;
  sign_u = u > 0 ? 1.0 : -1.0;

代码示例来源：origin: org.apache.mahout/mahout-math

b = 1.0 + 0.36788794412 * alpha;              // Step 1
while (true) {
 double p = b * randomDouble();
 if (p <= 1.0) {                       // Step 2. Case gds <= 1
  gds = Math.exp(Math.log(p) / alpha);
  if (Math.log(randomDouble()) <= -gds) {
   return gds / rate;
  if (Math.log(randomDouble()) <= (alpha - 1.0) * Math.log(gds)) {
   return gds / rate;
double v1;
do {
 v1 = 2.0 * randomDouble() - 1.0;
 double v2 = 2.0 * randomDouble() - 1.0;
 v12 = v1 * v1 + v2 * v2;
} while (v12 > 1.0);
double u = randomDouble();
if (d * u <= t * t * t) {
 return gds / rate;
 double e;
 do {
  e = -Math.log(randomDouble());
  u = randomDouble();
  u = u + u - 1.0;
  sign_u = u > 0 ? 1.0 : -1.0;