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Deterministic Monte-Carlo-Like without memory constraints.

Project Description

ConteMarlo A “Monte-Carlo-Like” tester. https://pypi.python.org/pypi/contemarlo/ -Ryan Birmingham

The concept is simple (and probably already done better): detailed Monte-Carlo but without the randomness or memory dependence. Despite the memory independence, generators default to safe mode not to flood memory.

I to construct tests, so I know I don’t break things.

Classes:
Resolver - A generator for the next distribution value pair Resolver_md - A multidimensional abstraction of Resolver Distribution - A distribution, domain [0,1]
Release History

Release History

This version
History Node

1.0.0

History Node

0.1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
contemarlo-1.0.0.zip (5.8 kB) Copy SHA256 Checksum SHA256 Source Sep 19, 2016

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