4 projects tagged "OS Independent"
Updated 06 Mar 2003
A practical lambda-calculator
| Pop | 28.64 |
|---|---|
| Vit | 2.18 |
A practical lambda-calculator is a normal-order evaluator for the untyped lambda-calculus, extended with convenient commands and shortcuts to make programming in it more productive. Shortcuts are distinguished constants that represent terms. Commands define new shortcuts, activate tracing of all reductions, compare terms modulo alpha-conversion, print all defined shortcuts and evaluation flags, etc. Terms to evaluate and commands are entered at a read-eval-print-loop (REPL) "prompt" or "included" from a file by a special command. A Haskell branch is an embedding of the lambda calculator (as a domain-specific language) into Haskell. The calculator can be used interactively within Hugs or GHCi.
Updated 05 Jun 2007
QuantLib
| Pop | 153.93 |
|---|---|
| Vit | 9.17 |
QuantLib is a cross-platform, quantitative finance C++ library for modeling, pricing, trading, and risk management in real-life. It is also wrapped as Python/Ruby/Scheme modules. Extensions for Excel, R, and Mathematica are available. Other such extensions are under consideration. QuantLib offers tools that are useful both for practical implementation and for advanced modeling. It features market conventions, yield curve models, solvers, PDEs, Monte Carlo (low-discrepancy included), exotic options, VAR, and so on.
Updated 16 Jan 2007
esra
| Pop | 27.57 |
|---|---|
| Vit | 2.45 |
Esra is a scriptable, scalable, and highly hackable molecular mechanics library for Java. Its primary purpose is the statistical analysis of trajectory data generated with packages such as GROMOS, GROMACS, or AMBER, but it can also be used as a standalone package for performing simple molecular dynamics and Monte-Carlo simulations. It can be scripted with Jython, Mathematica, or Matlab.
Updated 04 Apr 2006
GeneRecon
| Pop | 21.35 |
|---|---|
| Vit | 2.52 |
GeneRecon is a software package for linkage disequilibrium mapping using coalescent theory. It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. GeneRecon explicitly models the genealogy of a sample of the case chromosomes in the vicinity of a disease locus. Given case and control data in the form of genotype or haplotype information, it estimates a number of parameters, most importantly, the disease position.
