Miscellaneous
Copyright (C) 2017-2024 Vincent A. Cicirello.
Website: https://rho-mu.cicirello.org/
API documentation: https://rho-mu.cicirello.org/api/
Publications About the Library | |
---|---|
Packages and Releases | |
Build Status | |
JaCoCo Test Coverage | |
Security | |
DOI | |
Other Information | |
Support |
If you use this library in your research, please cite the following paper:
Cicirello, V. A., (2022). ρμ: A Java library of randomization enhancements and other math utilities. Journal of Open Source Software, 7(76), 4663, https://doi.org/10.21105/joss.04663.
ρμ is a Java library of Randomization enHancements and Other Math Utilities (rho mu). It includes implementations of various algorithms for efficiently randomly sampling combinations of indexes into arrays and other sequential structures. It also includes efficient implementations of random number generation from distributions other than uniform, such as Gaussian, Cauchy, etc. Additionally, it includes implementations of other math functions that are either needed by the randomization utilities, or which are needed by some of our other projects.
Much of the core randomization enhancements is in a pair of utility classes: RandomIndexer
and
RandomVariates
. Beginning with v2.0.0, the ρμ library was revised to utilize Java 17's
hierarchy of random number generator interfaces (i.e., RandomGenerator
and its subinterfaces).
Specifically, ρμ now provides a class EnhancedRandomGenerator
that wraps an instance
of RandomGenerator
while also implementing RandomGenerator
, enabling adding the enhanced
randomization features to any of Java 17's many random number generators, while also serving
as a drop-in replacement. Additionally, ρμ provides a hierarchy of such wrapper classes,
corresponding to Java 17's hierarchy of random number generator interfaces.
Some of the randomization enhancements include:
RandomGenerator
classes,
such as Binomial and Cauchy random vaiables.nextBiasedInt
methods that sacrifices uniformity for speed by excluding the
rejection sampling necessary to ensure uniformity, as well as a biasedInts
methods for generating streams
of such integers.The ρμ library is a dependency of some of our other projects, including JavaPermutationTools and Chips-n-Salsa.
The rest of this README is organized as follows:
This class diagram summarizes the public classes of ρμ in relation to Java 17's
hierarchy of RandomGenerator
interfaces. Note that for brevity in the diagram, methods are
omitted. Each class and interface in the diagram is a clickable link to the javadoc page
that documents it either within the documentation of ρμ
for the classes of the ρμ library, or within the Java 17 API documentation for Java's RandomGenerator
interfaces.
classDiagram
class Statistics
class MatrixOps
class JacobiDiagonalization
class MathFunctions
class RandomGenerator
<<interface>> RandomGenerator
class StreamableGenerator
<<interface>> StreamableGenerator
RandomGenerator <|-- StreamableGenerator
class SplittableGenerator
<<interface>> SplittableGenerator
StreamableGenerator <|-- SplittableGenerator
class JumpableGenerator
<<interface>> JumpableGenerator
StreamableGenerator <|-- JumpableGenerator
class LeapableGenerator
<<interface>> LeapableGenerator
JumpableGenerator <|-- LeapableGenerator
class ArbitrarilyJumpableGenerator
<<interface>> ArbitrarilyJumpableGenerator
LeapableGenerator <|-- ArbitrarilyJumpableGenerator
class EnhancedRandomGenerator
EnhancedRandomGenerator : -RandomGenerator generator
RandomGenerator <|.. EnhancedRandomGenerator
class RandomVariates
class IndexPair
class RandomSampler
class RandomIndexer
class Shuffler
class IndexTriple
RandomIndexer <.. EnhancedRandomGenerator
RandomIndexer <.. RandomSampler
RandomSampler <.. RandomIndexer
RandomSampler <.. EnhancedRandomGenerator
RandomIndexer <.. Shuffler
Shuffler <.. EnhancedRandomGenerator
RandomVariates <.. EnhancedRandomGenerator
RandomVariates <.. RandomSampler
IndexPair <.. EnhancedRandomGenerator
IndexPair <.. RandomIndexer
IndexTriple <.. RandomIndexer
IndexTriple <.. EnhancedRandomGenerator
class EnhancedStreamableGenerator
EnhancedStreamableGenerator : -StreamableGenerator generator
EnhancedRandomGenerator <|-- EnhancedStreamableGenerator
StreamableGenerator <|.. EnhancedStreamableGenerator
class EnhancedSplittableGenerator
EnhancedSplittableGenerator : -SplittableGenerator generator
EnhancedStreamableGenerator <|-- EnhancedSplittableGenerator
SplittableGenerator <|.. EnhancedSplittableGenerator
class EnhancedJumpableGenerator
EnhancedJumpableGenerator : -JumpableGenerator generator
EnhancedStreamableGenerator <|-- EnhancedJumpableGenerator
JumpableGenerator <|.. EnhancedJumpableGenerator
class EnhancedLeapableGenerator
EnhancedLeapableGenerator : -LeapableGenerator generator
EnhancedJumpableGenerator <|-- EnhancedLeapableGenerator
LeapableGenerator <|.. EnhancedLeapableGenerator
class EnhancedArbitrarilyJumpableGenerator
EnhancedArbitrarilyJumpableGenerator : -ArbitrarilyJumpableGenerator generator
EnhancedLeapableGenerator <|-- EnhancedArbitrarilyJumpableGenerator
ArbitrarilyJumpableGenerator <|.. EnhancedArbitrarilyJumpableGenerator
link RandomIndexer "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/RandomIndexer.html"
link RandomVariates "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/RandomVariates.html"
link RandomSampler "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/RandomSampler.html"
link EnhancedRandomGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedRandomGenerator.html"
link EnhancedStreamableGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedStreamableGenerator.html"
link EnhancedSplittableGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedSplittableGenerator.html"
link EnhancedJumpableGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedJumpableGenerator.html"
link EnhancedLeapableGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedLeapableGenerator.html"
link EnhancedArbitrarilyJumpableGenerator "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/EnhancedArbitrarilyJumpableGenerator.html"
link RandomGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.html"
link StreamableGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.StreamableGenerator.html"
link SplittableGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.SplittableGenerator.html"
link JumpableGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.JumpableGenerator.html"
link LeapableGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.LeapableGenerator.html"
link ArbitrarilyJumpableGenerator "https://docs.oracle.com/en/java/javase/17/docs/api/java.base/java/util/random/RandomGenerator.ArbitrarilyJumpableGenerator.html"
link MathFunctions "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/MathFunctions.html"
link Statistics "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/stats/Statistics.html"
link MatrixOps "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/la/MatrixOps.html"
link JacobiDiagonalization "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/la/JacobiDiagonalization.html"
link IndexPair "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/IndexPair.html"
link IndexTriple "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/IndexTriple.html"
link Shuffler "https://rho-mu.cicirello.org/api/org.cicirello.rho_mu/org/cicirello/math/rand/Shuffler.html"
We currently support Java 17+. Our development process utilizes OpenJDK 17, and all jar files released via Maven Central, GitHub Packages, and GitHub Releases are built with a Java 17 target. See the following table for a mapping between library version and minimum supported Java version.
version | Java requirements |
---|---|
2.w.x to 4.y.z | Java 17+ |
1.x.y | Java 11+ |
ρμ uses Semantic Versioning with version numbers of the form: MAJOR.MINOR.PATCH, where differences in MAJOR correspond to incompatible API changes, differences in MINOR correspond to introduction of backwards compatible new functionality, and PATCH corresponds to backwards compatible bug fixes.
The ρμ library is built using Maven. The root of the
repository contains a Maven pom.xml
. To build the library,
execute mvn package
at the root of the repository, which
will compile all classes, run all tests, run javadoc, and generate
jar files of the library, the sources, and the javadocs. The file names
make this distinction explicit. All build outputs will then
be found in the directory target
.
To include generation of a code coverage report during the build,
execute mvn package -Pcoverage
at the root of the repository to
enable a Maven profile that executes JaCoCo during the test phase.
To run all static analysis tools (i.e., SpotBugs, Find Security Bugs,
refactor-first), execute mvn package -Panalysis
to enable a Maven
profile that executes the various static analysis tools that we are
using. The SpotBugs html report will be found in the target
directory,
or you can use the SpotBugs GUI with: mvn spotbugs:gui -Panalysis
. The
refactor-first report will be found in the target/site
directory.
To run all of the above: mvn package -P "analysis,coverage"
.
The examples directory contains source code of a few example programs demonstrating how to use various features of the library. The source code of the examples is commented with explanations where appropriate.
Some of our other projects make extensive use of this library. You may consult the source code of JavaPermutationTools and/or Chips-n-Salsa for additional real code examples. For example Chips-n-Salsa is a library of parallel and adaptive stochastic local search algorithms, and as such requires extensive use of random number generation.
This library provides a Java module, org.cicirello.rho_mu
. To use in your project,
add the following to your module-info.java
:
module your.module.name.here {
requires org.cicirello.rho_mu;
}
Prebuilt artifacts are regularly published to Maven Central and GitHub Packages. In most cases, you'll want to use Maven Central. Releases are published to GitHub Packages mainly as a fall-back in the unlikely scenario that Maven Central is unavailable.
Add this to the dependencies section of your pom.xml, replacing the version number with the version that you want to use.
<dependency>
<groupId>org.cicirello</groupId>
<artifactId>rho-mu</artifactId>
<version>4.0.0</version>
</dependency>
If you'd prefer to import from GitHub Packages, rather than Maven Central, then: (1) add the dependency as indicated in previous section above, and (2) add the following to the repositories section of your pom.xml:
<repository>
<id>github</id>
<name>GitHub cicirello Apache Maven Packages</name>
<url>https://maven.pkg.github.com/cicirello/rho-mu</url>
</repository>
Note that GitHub Packages requires authenticating to GitHub. Thus, it is likely less convenient than importing from Maven Central. We mainly provide this option as a backup source of artifacts.
If you don't use a dependency manager that supports importing from Maven Central, or if you simply prefer to download manually, prebuilt jars are also attached to each GitHub Release. However, be sure to also download required versions of dependencies. You should really be using a dependency manager to ensure that you get this right.
The ρμ library is licensed under the GNU General Public License 3.0.
If you would like to contribute to ρμ in any way, such as reporting bugs, suggesting new functionality, or code contributions such as bug fixes or implementations of new functionality, then start by reading the contribution guidelines. This project has adopted the Contributor Covenant Code of Conduct.