https://github.com/incaseoftrouble/jbdd

Efficient pure Java implementation of (Binary) Decision Diagrams
https://github.com/incaseoftrouble/jbdd

bdds binary-decision-diagrams java

Last synced: 2 months ago
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Efficient pure Java implementation of (Binary) Decision Diagrams

• Host: GitHub
• URL: https://github.com/incaseoftrouble/jbdd
• Owner: incaseoftrouble
• License: gpl-3.0
• Created: 2017-06-23T09:51:27.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-06-23T17:17:57.000Z (6 months ago)
• Last Synced: 2024-06-23T18:32:27.071Z (6 months ago)
• Topics: bdds, binary-decision-diagrams, java
• Language: Java
• Homepage:
• Size: 403 KB
• Stars: 5
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE
  • Authors: AUTHORS

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README

        
# JBDD

![Build Status](https://github.com/incaseoftrouble/jbdd/actions/workflows/build.yml/badge.svg)

JBDD (Java Binary Decision Diagrams) is (yet another) native implementation of (Reduced Ordered) BDDs in Java.

It is loosely inspired by [JDD](https://bitbucket.org/vahidi/jdd/wiki/Home), but completely rewritten from scratch, since JDD contained some bugs and was missing features like, for example, substitution.

The design goals are simplicity, performance, and no dependencies.

## Performance

Internally, JBDD does not use any objects, only primitive arrays, and uses manual memory management.

JBDD also provides an object-oriented interface with automatic reference management through weak references (instead of `finalize()`, which has a hefty performance penalty).

The overhead incurred by the object-oriented interface largely depends on the number of referenced objects, but was hardly measurable in several synthetic benchmarks.

Compared to other libraries, JBDD beats most Java implementations and even is on-par or faster than established, C-based libraries such as BuDDy.

(Measured on several synthetic benchmarks.)

## Features

Some more fancy BDD features and variants are missing.

Most notably, these are ZDDs, MTBDDs, and variable reordering.

They might get added over time, but if you require such features, consider using optimized implementations like [CUDD](http://vlsi.colorado.edu/~fabio/), [BuDDy](http://buddy.sourceforge.net/manual/main.html) or [Sylvan](http://fmt.cs.utwente.nl/tools/sylvan/) instead.

## Usage

You can either build the jar using gradle (see below) or fetch it from maven central:

```xml

  de.tum.in

  jbdd

  0.6.0

```

and for gradle:

```kotlin

// https://mvnrepository.com/artifact/de.tum.in/jbdd

implementation("de.tum.in:jbdd:0.6.0")

```

## Building

Build the project using gradle.

All dependencies are downloaded automatically.

    $ ./gradlew build

Or, if you are on windows,

    # gradlew.bat build

## Referencing

If you use JBDD for your experiments, I would appreciate a citation akin to the following.

```

@misc{jbdd,

    author = {Tobias Meggendorfer},

    title = {{JBDD}: A Java {BDD} Library},

    howpublished = "\url{https://github.com/incaseoftrouble/jbdd}",

    year = 2017

}

```