Open Source C++ UML Tools for BSD
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C++ UML Tools for BSD
Browse free open source C++ UML Tools for BSD and projects below. Use the toggles on the left to filter open source C++ UML Tools for BSD by OS, license, language, programming language, and project status.
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EcoLab is a C++ based Agent Based Modelling system, with emphasis on high performance computing for scaling to large simulations.
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Quan is designed to model physical quantities in C++ programs. Advantages include automated dimensional analysis checking, automatic unit conversions, self documentation of code.
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That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other Open Source projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.
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C++ library for calculating the light propagation through large and very small structures (sub wavelength). The used method is the Fourier Modal Method. It can be solve one and two dimensional dielectric structures such as gratings, waveguides etc.
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Generates and simulates realistic traffic patterns. Focuses on detailed zone model & simplistic characters living at designated zones. Easy-to-use plugin for city and traffic simulators. Demo uses Ogre 3D.
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Java Fuzzy Editor is a basic editor to allow creation of fuzzy based rules. It will save to serveral formats including to source code in several languages.
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The MuDiSP3 is a set of C++ classes acting as a framework for the execution of Digital Signal Processing (DSP) simulations. The entire simulated system is represented by a "System" class which inherits his properties from a general purpose DSP. The user c
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SYSTEM FOR DESIGNING AND SIMULATE CONCURRENT AND DISTRIBUTED PROGRAMS IN CLUSTER ARCHITECTURE Provides graphical interface for configuring relationships between cooperating, abstract processes and simulate it in real cluster environment, using MPI.
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Travel Market Simulator
Travel Market Simulator
That project aims at studying the impact of IT systems interactions on traveller demand and airline revenues. Passenger demand is generated (Monte Carlo) and injected into simulated CRS and airline IT systems. Differential analysis is then performed on various changes compared to a bottom line scenario. -
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This project aims to model parasites in order to assist in the analysis and prediction of their behavior.
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