nonlinear-optimization
Various iterative algorithms for optimization of nonlinear functions. (by meteficha)
mwc-random
A very fast Haskell library for generating high quality pseudo-random numbers. (by haskell)
nonlinear-optimization | mwc-random | |
---|---|---|
- | 1 | |
7 | 54 | |
- | - | |
2.1 | 0.0 | |
12 months ago | 5 months ago | |
C | Haskell | |
LicenseRef-GPL | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nonlinear-optimization
Posts with mentions or reviews of nonlinear-optimization.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning nonlinear-optimization yet.
Tracking mentions began in Dec 2020.
mwc-random
Posts with mentions or reviews of mwc-random.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Probabilistic Programming in Haskell
Sampling is the easy part ;) BTW there were already basic Haskell libraries for random sampling : `mwc-random` (https://hackage.haskell.org/package/mwc-random), `splitmix-distributions` https://hackage.haskell.org/package/splitmix-distributions-1.0.0/docs/System-Random-SplitMix-Distributions.html
What are some alternatives?
When comparing nonlinear-optimization and mwc-random you can also consider the following projects:
mcmc-types - Common types for sampling.
mwc-probability - A probability distribution type layered on top of mwc-random.
dimensions - Many-dimensional type-safe numeric ops
simd - simple interface to ghc's simd vector support
linearEqSolver - Solve systems of linear equations, using SMT solvers.
Decimal
nimber - Finite nimber arithmetic
equational-reasoning - Agda-style equational reasoning in Haskell
th-cas - Compile time CAS(Computer Algebra System) for Haskell
hermit - Haskell Equational Reasoning Model-to-Implementation Tunnel
manifold-random - Coordinate-free hypersurfaces as Haskell types
nonlinear-optimization vs mcmc-types
mwc-random vs mwc-probability
nonlinear-optimization vs dimensions
mwc-random vs mcmc-types
nonlinear-optimization vs simd
mwc-random vs linearEqSolver
nonlinear-optimization vs Decimal
mwc-random vs nimber
nonlinear-optimization vs equational-reasoning
mwc-random vs th-cas
nonlinear-optimization vs hermit
mwc-random vs manifold-random