File:SPFADemo.gif

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SPFADemo.gif (521 × 518 pixels, file size: 6.47 MB, MIME type: image/gif, looped, 139 frames, 1 min 10 s)

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Summary

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Description
English: A demo of Dijkstra's algorithm based on Euclidean distance. Red lines are the shortest path covering. Blue lines are where relaxing happens.
Date
Source Own work
Author Shiyu Ji

Python 3 Code

[edit]
'''
Shortest path covering (SVG) using SP Faster algorithm with queue.
Firstly use this code to generate SVG frames.
Then transform to bitmaps and convert to GIF.
'''

# range size
N = 500
margin = 20

def norm(px, py):
    return ((px[0]-py[0])**2+(px[1]-py[1])**2)**.5

def saveToSVG(nFrames, points, edges, firmed, relaxing):
    f = open('demo_'+'0'*(3-len(str(nFrames)))+str(nFrames)+'.svg', 'w')
    f.write("<svg xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n")
    for p in points:
        f.write("<circle cx=\"" +str(p[0]+margin)+ "\" cy=\""+ str(N-p[1]+margin) +"\" r=\"5\" fill=\"white\" stroke=\"black\"/>\n")
    for i in range(len(edges)):
        for j in edges[i]:
            f.write("<line x1=\"" +str(points[i][0]+margin)+ "\" y1=\""+ str(N-points[i][1]+margin) +"\" x2=\"" + str(points[j][0]+margin) + "\" y2=\"" + str(N-points[j][1]+margin) + "\" stroke=\"grey\" stroke-width=\".5\"/>\n")
    for L in firmed:
        f.write("<line x1=\"" +str(L[0][0]+margin)+ "\" y1=\""+ str(N-L[0][1]+margin) +"\" x2=\"" + str(L[1][0]+margin) + "\" y2=\"" + str(N-L[1][1]+margin) + "\" stroke=\"red\" stroke-width=\"5\"/>\n")
    for L in relaxing:
        f.write("<line x1=\"" +str(L[0][0]+margin)+ "\" y1=\""+ str(N-L[0][1]+margin) +"\" x2=\"" + str(L[1][0]+margin) + "\" y2=\"" + str(N-L[1][1]+margin) + "\" stroke=\"blue\" stroke-width=\"5\"/>\n")
    f.write("</svg>\n")
    f.close()

def generatePoints(n):
    import random as r
    r.seed(10)
    
    res = []
    for i in range(n):
        pt = [r.randint(0,N) for _ in [0, 1]]
        if [pt] not in res:
            res += [pt]
    return res

# heuristic: neighbor with radius e.g. N/3
def generateEdges(n, points):
    import random as r
    r.seed(10)
    edges = []
    for i in range(n):
        dst = []
        for j in range(n):
            if i!=j and norm(points[i], points[j]) < N/3:
                dst.append(j);
        edges.append(dst)
    return edges

def spfa(n, points, edges):
    nframe = 0
    dist = [float("inf") for i in range(n)]
    prev = [-1 for _ in range(n)]
    cover = []
    dist[0] = 0.0
    Q = [0]
    while len(Q)>0:
        u = Q[0]
        Q.pop(0)
        if prev[u]!=-1:
            cover.append([points[prev[u]], points[u]])
        saveToSVG(nframe, points, edges, cover, [])
        nframe+=1
        for i in edges[u]:
            if i!=u and dist[i] > dist[u] + norm(points[i], points[u]):
                dist[i] = dist[u] + norm(points[i], points[u])
                prev[i] = u
                if i not in set(Q): Q.append(i)
                for k in range(len(cover)):
                    if cover[k][1] == points[i]:
                        cover.pop(k)
                        break
                saveToSVG(nframe, points, edges, cover, [[points[u], points[i]]])
                nframe+=1
    
    return dist, prev

# test 50 points temporarily
n = 50
pts = generatePoints(n)
es = generateEdges(n, pts)
spfa(n, pts, es)

Licensing

[edit]
I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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Date/TimeThumbnailDimensionsUserComment
current13:22, 28 December 2016Thumbnail for version as of 13:22, 28 December 2016521 × 518 (6.47 MB)Shiyu Ji (talk | contribs)User created page with UploadWizard

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