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The class 'JSEvaluator' in this project allows us to interpret expressions in JScript, allowing us to use parameters in the server at runtime.
For example:
({@ 1} + {@ 2}) / 100;
Parameter {@ 1} : 36
Parameter {@ 2}: 45
Result of the expression: 0.81
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Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.
Game Toolbox is a C# assembly designed to facilitate the creation of games and game prototypes. It contains no graphics code, does not depend on XNA, and is Mono-compatible. It provides implementations of A*, GOAP, a genetic algorithm, and more.
ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programming logic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.
Shears is a C# library for list processing, combinatorial problems, and functional programming. It is intended to be useful for everyday coding, with an emphasis on producing brief, readable code. It's also lots of fun!
Use, study and develop advanced digital halftoning algorithms with Halftone Laboratory, a GIMP plug-in backed by a highly modular and extensible library. It uses .NET/Mono and GIMP#.
Many people love programming contests. There are tons of contests or online judges like TopCoder, UVA, SPOJ, etc. This project's goal is to store and keep track of what a programmer have done and studied so far.
A .net implementation of a framework for genetic algorithms. This tool enables programmers to write the "core" of their problem and have a genetic algorithm immediately setup for solving it.
"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.
Alternative approach to minimum redundancy coding (fixed-length) without using tree data structures. The main advantages are simplicity and flexibility.
GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.