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epanet-haskell
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| build | epanet-haskell | |
|---|---|---|
| 1 | - | |
| 230 | 1 | |
| - | - | |
| 2.8 | 0.0 | |
| about 2 months ago | over 10 years ago | |
| TeX | C | |
| MIT License | GNU General Public License v3.0 only |
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I skimmed the paper - this is interesting on many aspects but I liked the breadth of what they analyzed... they use Excel as one of the examples!
I know it is a valuable skill to be able to efficiently break down problems into abstractions but I suspect you would still end up with "porcelain"[0] that would hide so much of this it might not be worth it. Or maybe it is so generic it becomes a standard of sorts (or certainly a standard way of doing things) with flavors of implementations on top of it?
In the conclusion they say:
> ... a simple recombination leads to a design for a monadic suspending cloud build system ...
Totally over my head as I still don't grok monads despite my belief I use them or something very close to them all the time without realizing it. I could not implement one. Anyway, I digress... neat paper and I will keep working on digesting it.
[0] https://git-scm.com/book/en/v2/Git-Internals-Plumbing-and-Po...
epanet-haskell
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Tracking mentions began in Dec 2020.
What are some alternatives?
spacefill - Space-filling curves
arithmoi - Number theory: primes, arithmetic functions, modular computations, special sequences
text-metrics - Calculate various string metrics efficiently in Haskell
pathfinding - Haskell pathfinding library
funsat - An efficient, embeddable DPLL SAT solver in Haskell
learning-hmm - Yet another Haskell library for hidden Markov models
cmaes - CMA-ES wrapper in Haskell
ADPfusionSet - dynamic programming for set data structures
nonlinear-optimization-ad - Several Haskell packages for numerical optimizations.
graph-generators - A Haskell library for creating random Data.Graph instances using several pop
GraphSCC - Tarjan's algorithm for computing strongly connected components
primesieve - A collection of packages related to math, algorithms and science, in Haskell.