forked from SPC/spc-site
45 lines
2.4 KiB
Markdown
45 lines
2.4 KiB
Markdown
---
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type: project
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title: KMath
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order: 1
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language: en
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image:
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path: images/projects/KMath.png
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position: right
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---
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[](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub)
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[](https://zenodo.org/badge/latestdoi/129486382)
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[](https://search.maven.org/search?q=g:%22space.kscience%22)
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[Repository and documentation](https://github.com/mipt-npm/kmath)
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Could be pronounced as `key-math`. The **K**otlin **Math**ematics library was initially intended as a Kotlin-based
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analog to Python's NumPy library. Later we found that kotlin is much more flexible language and allows superior
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architecture designs. In contrast to `numpy` and `scipy` it is modular and has a lightweight core. The `numpy`-like
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experience could be achieved with [kmath-for-real](/kmath-for-real) extension module.
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[Documentation site (**WIP**)](https://mipt-npm.github.io/kmath/)
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## Publications and talks
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* [A conceptual article about context-oriented design](https://proandroiddev.com/an-introduction-context-oriented-programming-in-kotlin-2e79d316b0a2)
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* [Another article about context-oriented design](https://proandroiddev.com/diving-deeper-into-context-oriented-programming-in-kotlin-3ecb4ec38814)
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* [ACAT 2019 conference paper](https://aip.scitation.org/doi/abs/10.1063/1.5130103)
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## Goal
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* Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM, JS and Native)
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* Provide basic multiplatform implementations for those abstractions (without significant performance optimization).
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* Provide bindings and wrappers with those abstractions for popular optimized platform libraries.
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## Non-goals
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* Be like NumPy. It was the idea at the beginning, but we decided that we can do better in API.
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* Provide the best performance out of the box. We have specialized libraries for that. Need only API wrappers for them.
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* Cover all cases as immediately and in one bundle. We will modularize everything and add new features gradually.
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* Provide specialized behavior in the core. API is made generic on purpose, so one needs to specialize for types, like
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for `Double` in the core. For that we will have specialization modules like `kmath-for-real`, which will give better
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experience for those, who want to work with specific types. |