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etk4j

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Engineering Toolkit for Java

// repository documentation

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# ETK4J

[![Java CI with Maven](https://github.com/StaticBeagle/ETK4J/actions/workflows/maven.yml/badge.svg)](https://github.com/StaticBeagle/ETK4J/actions/workflows/maven.yml)

## Engineering Toolkit for Java

The purpose of this project is to create a library that can be used to prototype solutions to engineering problems. One 
of the main goals of the library is to be a 100% in Java. Some algorithms in the library are not state-of-the-art, but 
they should be good enough in terms of accuracy and speed for many applications.

The linear algebra part of the library is based on [Jama](https://math.nist.gov/javanumerics/jama/).
The main difference between [Jama](https://math.nist.gov/javanumerics/jama/) and this project is that the internal
representation of the data was changed from a 2D array of doubles to a 1D array of doubles and the values are accessed
using an offset. Other matrix methods were added as well.

The library also uses code translated from [SciPy](https://scipy.org/) and [NumPy](https://numpy.org/). 
Please see [SciPy](https://github.com/StaticBeagle/ETK4J/blob/master/SciPy).

Last but not least, this project includes code that was translated from [numal](https://github.com/JeffBezanson/numal),
and also from [Math.NET](https://www.mathdotnet.com/) please see [Math.NET](https://github.com/StaticBeagle/ETK4J/blob/master/Math.NET.txt).

Arrays are mainly used throughout the library in order to use native doubles but the use of `List`s is encouraged.

There's a set of examples that show how to use some classes contained in the library. The examples
can be found in:

src/main/java

## Maven Central

ETK4J can be included from Maven Central.

Maven

```xml
<dependency>
    <groupId>com.wildbitsfoundry</groupId>
    <artifactId>etk4j</artifactId>
    <version>2.2.3</version>
</dependency>
```
Gradle
```bash
implementation 'com.wildbitsfoundry:etk4j:2.2.3'
```

Requirements
---
JDK 1.8+

etk4j

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