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  /external/llvm/utils/lit/utils/
README.txt 2 distribution.
  /external/pcre/dist/
COPYING 3 Please see the file LICENCE in the PCRE distribution for licensing details.
  /external/curl/packages/EPM/
README 1 EPM is a free Unix software/file packaging program that generates distribution
4 * Generate portable script-based distribution packages complete with
8 * Provide a complete, cross-platform software distribution solution for your
  /prebuilts/eclipse/maven/apache-maven-3.2.1/
NOTICE 2 Apache Maven Distribution
  /toolchain/binutils/binutils-2.25/ld/scripttempl/
vanilla.sc 4 # Copying and distribution of this file, with or without modification,
st2000.sc 3 # Copying and distribution of this file, with or without modification,
10 Copying and distribution of this script, with or without modification,
  /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
PascalDistribution.java 17 package org.apache.commons.math.distribution;
20 * The Pascal distribution. The Pascal distribution is a special case of the
21 * Negative Binomial distribution where the number of successes parameter is an
24 * There are various ways to express the probability mass and distribution
25 * functions for the Pascal distribution. The convention employed by the
33 * Negative Binomial Distribution</a></li>
43 * Access the number of successes for this distribution.
50 * Access the probability of success for this distribution.
57 * Change the number of successes for this distribution
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PoissonDistribution.java 17 package org.apache.commons.math.distribution;
22 * Interface representing the Poisson Distribution.
28 * Poisson distribution</a></li>
37 * Get the mean for the distribution.
39 * @return the mean for the distribution.
44 * Set the mean for the distribution.
56 * Calculates the Poisson distribution function using a normal approximation.
59 * @return the distribution function value calculated using a normal approximation
BinomialDistribution.java 17 package org.apache.commons.math.distribution;
20 * The Binomial Distribution.
26 * Binomial Distribution</a></li>
34 * Access the number of trials for this distribution.
40 * Access the probability of success for this distribution.
46 * Change the number of trials for this distribution.
54 * Change the probability of success for this distribution.
CauchyDistribution.java 18 package org.apache.commons.math.distribution;
21 * Cauchy Distribution.
27 * Cauchy Distribution</a></li>
38 * @return median for this distribution
44 * @return scale parameter for this distribution
50 * @param median for this distribution
58 * @param s scale parameter for this distribution
NormalDistribution.java 18 package org.apache.commons.math.distribution;
21 * Normal (Gauss) Distribution.
27 * Normal Distribution</a></li>
36 * @return mean for this distribution
41 * @param mean for this distribution
48 * @return standard deviation for this distribution
53 * @param sd standard deviation for this distribution
Distribution.java 17 package org.apache.commons.math.distribution;
26 public interface Distribution {
29 * to this distribution, this method returns P(X &le; x). In other words,
30 * this method represents the (cumulative) distribution function, or
31 * CDF, for this distribution.
33 * @param x the value at which the distribution function is evaluated.
35 * distribution takes a value less than or equal to <code>x</code>
43 * to this distribution, this method returns P(x0 &le; X &le; x1).
47 * @return the probability that a random variable with this distribution
CauchyDistributionImpl.java 18 package org.apache.commons.math.distribution;
28 * {@link org.apache.commons.math.distribution.CauchyDistribution}.
45 /** The median of this distribution. */
48 /** The scale of this distribution. */
55 * Creates cauchy distribution with the medain equal to zero and scale
63 * Create a cauchy distribution using the given median and scale.
64 * @param median median for this distribution
65 * @param s scale parameter for this distribution
72 * Create a cauchy distribution using the given median and scale.
73 * @param median median for this distribution
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PoissonDistributionImpl.java 17 package org.apache.commons.math.distribution;
51 /** Distribution used to compute normal approximation. */
55 * Holds the Poisson mean for the distribution.
73 * Create a new Poisson distribution with the given the mean. The mean value
84 * Create a new Poisson distribution with the given mean, convergence criterion
99 * Create a new Poisson distribution with the given mean and convergence criterion.
111 * Create a new Poisson distribution with the given mean and maximum number of iterations.
124 * Create a new Poisson distribution with the given the mean. The mean value
128 * @param z a normal distribution used to compute normal approximations.
141 * Get the Poisson mean for the distribution
    [all...]
DiscreteDistribution.java 17 package org.apache.commons.math.distribution;
25 public interface DiscreteDistribution extends Distribution {
28 * to this distribution, this method returns P(X = x). In other words, this
29 * method represents the probability mass function, or PMF for the distribution.
TDistribution.java 17 package org.apache.commons.math.distribution;
20 * Student's t-Distribution.
25 * <li><a href="http://mathworld.wolfram.com/Studentst-Distribution.html">
26 * Student's t-Distribution</a></li>
  /packages/inputmethods/LatinIME/native/jni/tests/suggest/core/layout/
normal_distribution_2d_test.cpp 33 const NormalDistribution2D distribution(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
38 // The probability density of the point near the distribution center is larger than the
39 // probability density of the point that is far from distribution center.
40 EXPECT_GE(distribution.getProbabilityDensity(SMALL_COORDINATE, SMALL_COORDINATE),
41 distribution.getProbabilityDensity(LARGE_COORDINATE, LARGE_COORDINATE));
45 EXPECT_GE(distribution.getProbabilityDensity(LARGE_COORDINATE, SMALL_COORDINATE),
46 distribution.getProbabilityDensity(SMALL_COORDINATE, LARGE_COORDINATE));
52 const NormalDistribution2D distribution(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
58 // The probability density of the rotated distribution at the point and the probability
59 // density of the original distribution at the rotated point are the same
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  /prebuilts/tools/common/m2/repository/antlr/antlr/2.7.7/
antlr-2.7.7.pom 18 <distribution>repo</distribution>
  /external/iproute2/netem/
pareto.c 2 * Pareto distribution table generator
23 printf("# This is the distribution table for the pareto distribution.\n");
  /prebuilts/tools/common/m2/repository/javax/annotation/jsr250-api/1.0/
jsr250-api-1.0.pom 15 <name>COMMON DEVELOPMENT AND DISTRIBUTION LICENSE (CDDL) Version 1.0</name>
17 <distribution>repo</distribution>
  /packages/inputmethods/LatinIME/native/jni/tests/dictionary/utils/
bloom_filter_test.cpp 38 // Use the uniform integer distribution [0, TEST_RANDOM_DATA_MAX].
39 std::uniform_int_distribution<int> distribution(0, TEST_RANDOM_DATA_MAX);
40 auto randomNumberGenerator = std::bind(distribution, std::mt19937());
55 // Use the uniform integer distribution [0, 1].
56 std::uniform_int_distribution<int> distribution(0, 1);
57 auto randomBitGenerator = std::bind(distribution, std::mt19937());
  /external/apache-commons-math/src/main/java/org/apache/commons/math/random/
EmpiricalDistribution.java 30 * empirical probability distribution</a> -- a probability distribution derived
32 * of the population distribution that the data come from.<p>
34 * <i>distribution digests</i>, that describe empirical distributions and
36 * <li>loading the distribution from a file of observed data values</li>
41 * <li>generating random values from the distribution</li>
46 * generated will follow the distribution of the values in the file.</p>
53 * Computes the empirical distribution from the provided
61 * Computes the empirical distribution from the input file.
69 * Computes the empirical distribution using data read from a URL
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  /prebuilts/tools/common/m2/repository/javax/inject/javax.inject/1/
javax.inject-1.pom 14 <distribution>repo</distribution>
  /prebuilts/tools/common/m2/repository/nekohtml/nekohtml/1.9.6.2/
nekohtml-1.9.6.2.pom 12 <distribution>repo</distribution>
  /external/clang/test/Index/Inputs/CommentXML/
valid-availability-attr-01.xml 5 <Availability distribution="OS X">

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