polynomial
units
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| polynomial | units | |
|---|---|---|
| - | 1 | |
| 19 | 94 | |
| - | - | |
| 0.0 | 5.3 | |
| about 2 years ago | 2 months ago | |
| Haskell | Haskell | |
| LicenseRef-PublicDomain | BSD 3-clause "New" or "Revised" License |
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polynomial
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units
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Frink is a programming language designed to make physical calculations simple
It seems to me that Haskell would be a great language for such a thing, ensuring correctness at compile time through the type system, e.g. using the units package https://hackage.haskell.org/package/units https://github.com/goldfirere/units/tree/master/units
It even has nice features like: "The laws of nature have dimensions, and they hold true regardless of the units used. For example, the gravitational force between two bodies is (gravitational constant) * (mass 1) * (mass 2) / (distance between body 1 and 2)^2, regardless of whether the distance is given in meters or feet or centimeters. In other words, every law of nature is unit-polymorphic."
"The units package supports unit-polymorphic programs ..."
What are some alternatives?
eigen - Haskel binding for Eigen library. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
smtlib2 - SMTLib2 interface implementation for Haskell
foldl-statistics - An reimplementation of the Statistics.Sample Haskell module using the foldl package
uncertain - Manipulating numbers with inherent measurement/experimental uncertainty.
dimensional - Dimensional library variant built on Data Kinds, Closed Type Families, TypeNats (GHC 7.8+).
monte-carlo - A Monte Carlo monad and transformer for Haskell.
estimator - State-space estimation algorithms and models
bayes-stack - Framework for Gibbs sampling of probabilistic models
matrix - A Haskell native implementation of matrices and their operations.
nimber - Finite nimber arithmetic
hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.