| /prebuilts/misc/common/robolectric/3.1.1/lib/ |
| nekohtml-1.9.6.2.pom | 12 <distribution>repo</distribution>
|
| /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>
|
| /toolchain/binutils/binutils-2.27/ld/scripttempl/ |
| 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/ |
| 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
[all...] |
| 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>
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/ |
| __init__.py | 3 The main package for the Python Module Distribution Utilities. Normally
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Modules/expat/ |
| expat_config.h | 3 * distribution.
|
| /external/clang/test/Index/Inputs/CommentXML/ |
| valid-availability-attr-01.xml | 5 <Availability distribution="OS X">
|
| valid-availability-attr-02.xml | 5 <Availability distribution="OS X">
|
| /external/conscrypt/android-stub/ |
| build.gradle | 11 // Don't include this artifact in the distribution.
|
| /external/conscrypt/api-doclet/ |
| build.gradle | 7 // Don't include this artifact in the distribution.
|
| /external/conscrypt/benchmark-base/ |
| build.gradle | 12 // Don't include this artifact in the distribution.
|
| /external/fio/examples/ |
| zipf.fio | 1 # Example job file for using a zipf distribution instead
|
| /external/iproute2/netem/ |
| README.distribution | 1 Notes about distribution tables from Nistnet
3 I. About the distribution tables
5 The table used for "synthesizing" the distribution is essentially a scaled,
6 translated, inverse to the cumulative distribution function.
8 Here's how to think about it: Let F() be the cumulative distribution
9 function for a probability distribution X. We'll assume we've scaled
26 distribution has the same approximate "shape" as X, simply by letting
28 To see this, it's enough to show that Y's cumulative distribution function,
41 II. How to create distribution tables (in theory)
45 pareto distribution is one example of this. In other cases, an
[all...] |
| /external/iputils/ |
| in6_flowlabel.h | 1 /* The in6_flowlabel.h file in the iputils distribution exists to provide
|
| /external/libevent/include/event2/ |
| event-config.h | 11 # error No event-config.h suitable for this distribution.
|
| /external/llvm/utils/lit/utils/ |
| check-sdist | 23 # Create the source distribution.
24 echo "Creating source distribution."
28 # Creating list of files in source distribution.
29 echo "Creating source distribution file list."
|
| /external/python/cpython2/Lib/distutils/ |
| __init__.py | 3 The main package for the Python Module Distribution Utilities. Normally
|
| /external/python/cpython2/Modules/expat/ |
| expat_config.h | 3 * distribution.
|
| /external/python/cpython3/Lib/distutils/ |
| __init__.py | 3 The main package for the Python Module Distribution Utilities. Normally
|
| /external/python/cpython3/Modules/expat/ |
| expat_config.h | 3 * distribution.
|
| /external/skqp/third_party/etc1/ |
| README.google | 7 distribution.
|
