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**v3.20** *1 December 2017*
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# Build [![Travis](https://travis-ci.org/lakshmiDRIP/DROP.svg)](https://travis-ci.org/lakshmiDRIP/DROP)
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# License [![Main](https://img.shields.io/badge/license-Apache-blue.svg)](https://github.com/lakshmiDRIP/DROP/blob/master/LICENSE)
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# Notice [![Join the chat at https://gitter.im/lakshmiDRIPDROP](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/lakshmiDRIPDROP?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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# Code Analyzer [![Codacy Badge](https://api.codacy.com/project/badge/Grade/7270e4b57c50483699448bf32721ab10)](https://www.codacy.com/app/lakshmiDRIP/DROP?utm_source=github.com&utm_medium=referral&utm_content=DROP/DROP&utm_campaign=Badge_Grade)[![codecov.io](http://codecov.io/github/lakshmiDRIP/DROP/coverage.svg?branch=master)](https://codecov.io/gh/lakshmiDRIP/DROP/branch/master)[![Coverity Scan Build Status](https://scan.coverity.com/projects/lakshmidrip-drop)](https://scan.coverity.com/projects/14574)
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# DROP [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
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DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning.
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DROP is composed of four main libraries:
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* [Numerical Optimization] (https://lakshmidrip.github.io/DROP/NumericalOptimizerModule.html)
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* [Statistical Learning] (https://lakshmidrip.github.io/DROP/StatisticalLearningModule.html)
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# Build [![Travis](https://travis-ci.org/lakshmiDRIP/DROP.svg)](https://travis-ci.org/lakshmiDRIP/DROP)
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# License [![Main](https://img.shields.io/badge/license-Apache-blue.svg)](https://github.com/lakshmiDRIP/DROP/blob/master/LICENSE)
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# Notice [![Join the chat at https://gitter.im/lakshmiDRIPDROP](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/lakshmiDRIPDROP?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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# Code Analyzer [![Codacy Badge](https://api.codacy.com/project/badge/Grade/7270e4b57c50483699448bf32721ab10)](https://www.codacy.com/app/lakshmiDRIP/DROP?utm_source=github.com&utm_medium=referral&utm_content=DROP/DROP&utm_campaign=Badge_Grade)[![codecov.io](http://codecov.io/github/lakshmiDRIP/DROP/coverage.svg?branch=master)](https://codecov.io/gh/lakshmiDRIP/DROP/branch/master)[![Coverity Scan Build Status](https://scan.coverity.com/projects/lakshmidrip-drop)](https://scan.coverity.com/projects/14574)
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# Curation [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
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## Installation
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Installation is as simple as building a jar and dropping into the classpath. There are no other dependencies.
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## Samples
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* The Java sample suite is also available as part of the development load.
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* The Excel samples are present on their own folder.
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* Test data is present in the Daemons folder.
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## Documentation
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* The API Javadoc is available as part of the main development load.
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* External Reference Publications in the corresponding folder
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* User guide is a work in progress!
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## Licence
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Apache 2.0
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## Contact
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