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Minor documentation update

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Alexander Nozik 2018-08-24 21:11:59 +03:00
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18
README.md
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@ -6,15 +6,29 @@ and `scipy` it is modular and has a lightweight core.
* **Algebra**
* Mathematical operation entities like rings, spaces and fields with (**TODO** add example to wiki)
* Basic linear algebra operations (summs products, etc) backed by `Space` API.
* Basic linear algebra operations (sums products, etc) backed by `Space` API.
* [In progress] advanced linear algebra operations like matrix inversions.
* **Array-like structures** Full support of numpy-like ndarray including mixed ariphmetic operations and function operations
* **Array-like structures** Full support of numpy-like ndarray including mixed arithmetic operations and function operations
on arrays and numbers just like it works in python (with benefit of static type checking).
## Planned features
* **Common mathematics** It is planned to gradually wrap most parts of [Apache commons-math](http://commons.apache.org/proper/commons-math/)
library in kotlin code and maybe rewrite some parts to better suite kotlin programming paradigm. There is no fixed priority list for that. Feel free
to submit a future request if you want something to be done first.
* **Expressions** Expressions are one of the ultimate goals of kmath. It is planned to be able to write some mathematical
expression once an then apply it to different types of objects by providing different context. Exception could be used
for a wide variety of purposes from high performance calculations to code generation.
* **Messaging** A mathematical notation to support multilanguage and multinod communication for mathematical tasks.
## Multi-platform support
KMath is developed as a multi-platform library, which means that most of interfaces are declared in common module.
Implementation is also done in common module wherever it is possible. In some cases features are delegated to
platform even if they could be done in common module because of platform performance optimization.
Currently the main focus of development is the JVM platform, contribution of implementations for Kotlin - Native and
Kotlin - JS is welcome.
## Performance
The calculation performance is one of major goals of KMath in the future, but in some cases it is not possible to achieve

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kmath-common/src/main/kotlin/scientifik/kmath/operations/Algebra.kt
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@ -3,6 +3,8 @@ package scientifik.kmath.operations
/**
* The generic mathematics elements which is able to store its context
* @param T the self type of the element
* @param S the type of mathematical context for this element
*/
interface MathElement<T, S>{
/**