GitHub - BDanielCS/Radiation-Pocket-Locator: MLH Prime submission. 3d graph with basic graph functionality. Also contains cluster and distribution analytics

BDanielCS / Radiation-Pocket-Locator Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

MLH Prime submission. 3d graph with basic graph functionality. Also contains cluster and distribution analytics

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Improvements_for_futuretxt.txt		Improvements_for_futuretxt.txt
RadiationGraph.cpp		RadiationGraph.cpp
Radiaton Pocket Locator.sln		Radiaton Pocket Locator.sln
Radiaton Pocket Locator.vcxproj		Radiaton Pocket Locator.vcxproj
Radiaton Pocket Locator.vcxproj.filters		Radiaton Pocket Locator.vcxproj.filters
ReadMe.txt		ReadMe.txt
ToDo.txt		ToDo.txt
Utility.cpp		Utility.cpp
Utility.h		Utility.h
execute.cpp		execute.cpp
radiationgraph.h		radiationgraph.h
stdafx.cpp		stdafx.cpp
stdafx.h		stdafx.h
targetver.h		targetver.h

Repository files navigation

========================================================================
    CONSOLE APPLICATION : Radiaton Pocket Locator Project Overview
                            @author = Brandon Daniel
========================================================================

Radiation Graph as Designed During the MLH Prime Hackathon

 =======================================================================
                            RADIATION GRAPH
 =======================================================================
 
    Aims to create a versatile and efficent graph-based API in order to perform
analysis on radiation pockets in 3D space.  Standard graph operations are 
implemented with the exception of the periodic sweeper.   Parallel cleaning 
of removed nodes happens in systematic intervals in order to minimize the 
amount of time during traversal and maximize performance in terms of insertions.

    Implemted clustering feature in order to focus on more densely/strongly
connected areas of the graph.  Feature is aimed towards use during analysis.

=========================================================================
                                Analysis
=========================================================================

Post agregation of data, statistic analysis can be performed on any of the
sectors of 3D space.  Confidence intervals around all desired estimators 
can be drawn to make assumptions about the distribution of radiation on
a given surface.