ordered
hmatrix
| ordered | hmatrix | |
|---|---|---|
| - | 2 | |
| 0 | 378 | |
| - | 0.0% | |
| 0.0 | 3.4 | |
| almost 13 years ago | 2 months ago | |
| Haskell | Haskell | |
| LicenseRef-OtherLicense | BSD 3-clause "New" or "Revised" License |
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ordered
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Tracking mentions began in Dec 2020.
hmatrix
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Rust concepts I wish I learned earlier
Two things that might help Rust a lot despite the complexity is the tooling and the ecosystem. Cargo is good, the compiler is extremely helpful, and there are a lot of crates to build on for all sorts of tasks.
For example, if I need to use simulated annealing to solve an optimization problem, there already exist libraries that implement that algorithm well.[1] Unfortunately, the Haskell library for this seems to be unmaintained[2] and so does the OCaml library that I can find.[3] Similarly, Agda, Idris, and Lean 4 all seem like great languages. But not having libraries for one's tasks is a big obstacle to adoption.
Nim looks very promising. (Surprisingly so to me.) Hopefully they will succeed at gaining wider recognition and growing a healthy ecosystem.
[1] E.g., https://github.com/argmin-rs/argmin
[2] https://hackage.haskell.org/package/hmatrix-gsl-0.19.0.1 was released in 2018. (Although there are newer commits in the GitHub repo, https://github.com/haskell-numerics/hmatrix. Not too sure what is going on.)
[3] https://github.com/khigia/ocaml-anneal
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Numpy style linear algebra
hmatrix covers the essentials; less feature-complete than python/matlab, partly because several orders of magnitudes less people use it, partly because it's meant as the "essential core".
What are some alternatives?
linear - Low-dimensional linear algebra primitives for Haskell.
hTensor - Multidimensional arrays and simple tensor computations
mwc-random - A very fast Haskell library for generating high quality pseudo-random numbers.
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.
hmatrix-repa - Compatability between hmatrix and repa matrices and vectors
sbvPlugin - Formally prove properties of Haskell programs using SBV/SMT.
math-functions - Special mathematical functions
ad - Automatic Differentiation
hmatrix-quadprogpp - bindings to quadprog++
computational-algebra - General-Purpose Computer Algebra System as an EDSL in Haskell
hmatrix-nipals - Haskell library for Nonlinear Iterative Partial Least Squares method for Principal Components Analysis on large datasets