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‎LICENSE‎

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Original file line numberDiff line numberDiff line change
@@ -4,10 +4,10 @@ Copyright (c) 2016 Jason Park
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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in the Software without restriction, including without limiting the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
10-
furnished to do so, subject to the following conditions:
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furnished to do so, subjected to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.

‎README.md‎

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# Algorithm Visualizer
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[![Join the chat at https://gitter.im/parkjs814/AlgorithmVisualizer](https://badges.gitter.im/parkjs814/AlgorithmVisualizer.svg)](https://gitter.im/parkjs814/AlgorithmVisualizer?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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[![OpenCollective](https://opencollective.com/algorithmvisualizer/backers/badge.svg)](#backers)
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[![OpenCollective](https://opencollective.com/algorithmvisualizer/sponsors/badge.svg)](#sponsors)
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http://parkjs814.github.io/AlgorithmVisualizer
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![Algorithm Visualizer](http://i.giphy.com/3o6EhJFgsyShX6MHeM.gif)
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Check out [**Wiki**](https://github.com/parkjs814/AlgorithmVisualizer/wiki) to add more algorithms!
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### Contributing
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If you run _Algorithm Visualizer_ locally and files are not loaded because Cross-Origin Requests are blocked, use [http-server](https://github.com/indexzero/http-server) or [SimpleHTTPServer](https://docs.python.org/2/library/simplehttpserver.html) to resolve the issue. [(Issue #2)](https://github.com/parkjs814/AlgorithmVisualizer/issues/2)
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If in need of any help check out or [**Wiki**](https://github.com/parkjs814/AlgorithmVisualizer/wiki) or join our [Gitter](https://gitter.im/parkjs814/AlgorithmVisualizer?utm_source=share-link&utm_medium=link&utm_campaign=share-link) chatroom!
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### Backers
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Support us with a monthly donation and help us continue our activities. [[Become a backer](https://opencollective.com/algorithmvisualizer#backer)]
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<a href="https://opencollective.com/algorithmvisualizer/backer/0/website" target="_blank"><img src="https://opencollective.com/algorithmvisualizer/backer/0/avatar.svg"></a>
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### Sponsors
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Become a sponsor and get your logo on our README on Github with a link to your site. [[Become a sponsor](https://opencollective.com/algorithmvisualizer#sponsor)]
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### Run it locally
11-
If you run _Algorithm Visualizer_ locally and files are not loaded because Cross-Origin Requests are blocked, use [http-server](https://github.com/indexzero/http-server) to resolve the issue. [(Issue #2)](https://github.com/parkjs814/AlgorithmVisualizer/issues/2)
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‎algorithm/category.json‎

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"dijkstra": "Dijkstra",
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"bellman_ford": "Bellman-Ford",
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"floyd_warshall": "Floyd-Warshall",
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"topological_sort": "Topological-Sort"
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"topological_sort": "Topological-Sort",
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"bridges": "Find-Bridges"
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}
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},
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"mst": {
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"name": "Minimum Spanning Tree",
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"list": {
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"prim": "Prim's Algorithm"
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"prim": "Prim's Algorithm",
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"kruskal": "Kruskal's Algorithm"
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}
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},
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"search": {
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"bubble": "Bubble Sort",
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"quick": "Quicksort",
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"merge": "Mergesort",
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"heap" : "Heap Sort"
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"heap" : "Heap Sort",
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"radix" : "Radix Sort"
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}
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},
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"string": {
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"etc": {
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"name": "Uncategorized",
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"list": {
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"dp": "Dynamic Programming",
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"scratch_paper": "<i class='fa fa-code'></i> Scratch Paper"
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"dp": "Dynamic Programming"
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}
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}
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}

‎algorithm/etc/dp/desc.json‎

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"fibonacci": "Fibonacci Sequence",
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"sliding_window": "Finding the largest sum of three contiguous number",
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"max_sum_path": "Finding the maximum sum in a path from (0, 0) to (N-1, M-1) when can only move to right or down",
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"longest_increasing_subsequence": "Find the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order"
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"longest_increasing_subsequence": "Find the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order",
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"max_subarray": "Find the sum of the maximum Subarray in the given Array",
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"knapsack_problem": "Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible."
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}
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}

‎algorithm/etc/dp/fibonacci/code.js‎

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tracer._pace(300);
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for (var i = 2; i < index; i++) {
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D[i] = D[i - 2] + D[i - 1];
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tracer._selectSet([i - 2, i - 1]);
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tracer._notify(i);
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tracer._deselectSet([i - 2, i - 1]);
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tracer._select(i - 2, i - 1)._wait();
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tracer._notify(i, D[i])._wait();
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tracer._denotify(i);
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tracer._deselect(i - 2, i - 1);
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}

‎algorithm/etc/dp/knapsack_problem/code.js‎

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for ( var i = 0; i <= N; i++ ) {
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for( var j = 0; j <= W; j++ ) {
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if( i === 0 || j === 0 ) {
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/*
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If we have no items or maximum weight we can take in collection is 0
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then the total weight in our collection is 0
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*/
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DP[i][0] = 0;
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tracer._notify( i, j, DP[i][j])._wait();
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tracer._denotify( i, j);
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} else if ( wt[i-1] <= j ) { // take the current item in our collection
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dataViewer1._select(i-1)._wait();
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dataViewer2._select(i-1)._wait();
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tracer._select( i-1, j)._wait();
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var A = val[i - 1] + DP[i - 1][j - wt[i - 1]];
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var B = DP[i - 1][j];
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/*
21+
find the maximum of these two values
22+
and take which gives us a greater weight
23+
*/
24+
if (A > B) {
25+
DP[i][j] = A;
26+
tracer._notify( i, j, DP[i][j])._wait();
27+
} else {
28+
DP[i][j] = B;
29+
tracer._notify( i, j, DP[i][j])._wait();
30+
}
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32+
tracer._deselect( i-1, j);
33+
tracer._denotify( i, j);
34+
dataViewer2._deselect(i-1);
35+
dataViewer1._deselect(i-1);
36+
37+
} else { // leave the current item from our collection
38+
39+
DP[i][j] = DP[i - 1][j];
40+
tracer._notify( i, j, DP[i][j])._wait();
41+
tracer._denotify( i, j);
42+
}
43+
}
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}
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logger._print(' Best value we can achieve is ' + DP[N][W]);

‎algorithm/etc/dp/knapsack_problem/data.js‎

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1+
var val = [1,4,5,7]; // The value of all available items
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var wt = [1,3,4,5]; // The weights of available items
3+
var W = 7; // The maximum weight we can carry in our collection
4+
var N = val.length;
5+
var DP = new Array(N+1);
6+
7+
for (var i = 0; i < N + 1; i++) {
8+
DP[i] = new Array(W+1);
9+
for (var j = 0; j < W + 1; j++) {
10+
DP[i][j] = 0;
11+
}
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}
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var tracer = new Array2DTracer()._setData(DP);
15+
var dataViewer1 = new Array1DTracer()._setData(val);
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var dataViewer2 = new Array1DTracer()._setData(wt);
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var logger = new LogTracer();

‎algorithm/etc/dp/longest_increasing_subsequence/code.js‎

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Original file line numberDiff line numberDiff line change
@@ -1,31 +1,30 @@
1-
tracer._pace(500);
2-
3-
// Initialize LIS values for all indexes
4-
for( var i = 0; i < 20; i++) {
5-
LIS[i] = 1;
1+
// Initialize LIS values for all indexes
2+
for (var i = 0; i < A.length; i++) {
3+
LIS[i] = 1;
64
}
75

8-
tracer._print( 'Calculating Longest Increasing Subsequence values in bottom up manner ');
6+
logger._print('Calculating Longest Increasing Subsequence values in bottom up manner ');
97
// Compute optimized LIS values in bottom up manner
10-
for( var i = 1; i < 10; i++) {
11-
tracer._select(i) ;
12-
tracer._print( ' LIS['+i+'] = ' + LIS[i]);
13-
for( var j =0; j < i; j++) {
14-
tracer._notify(j);
15-
if( A[i] > A[j] && LIS[i] < LIS[j] + 1) {
16-
LIS[i] = LIS[j] + 1;
17-
tracer._print( ' LIS['+i+'] = ' + LIS[i]);
18-
}
19-
}
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tracer._deselect(i);
8+
for (var i = 1; i < A.length; i++) {
9+
tracer._select(i);
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logger._print(' LIS[' + i + '] = ' + LIS[i]);
11+
for (var j = 0; j < i; j++) {
12+
tracer._notify(j)._wait();
13+
tracer._denotify(j);
14+
if (A[i] > A[j] && LIS[i] < LIS[j] + 1) {
15+
LIS[i] = LIS[j] + 1;
16+
logger._print(' LIS[' + i + '] = ' + LIS[i]);
17+
}
18+
}
19+
tracer._deselect(i);
2120
}
2221

2322
// Pick maximum of all LIS values
24-
tracer._print( 'Now calculate maximum of all LIS values ');
23+
logger._print('Now calculate maximum of all LIS values ');
2524
var max = LIS[0];
26-
for( var i = 1; i < 10; i++) {
27-
if(max < LIS[i]) {
25+
for (var i = 1; i < A.length; i++) {
26+
if (max < LIS[i]) {
2827
max = LIS[i];
2928
}
3029
}
31-
tracer._print('Longest Increasing Subsequence = max of all LIS = ' + max);
30+
logger._print('Longest Increasing Subsequence = max of all LIS = ' + max);

‎algorithm/etc/dp/longest_increasing_subsequence/data.js‎

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@@ -1,4 +1,5 @@
11
var tracer = new Array1DTracer();
2+
var logger = new LogTracer();
23
var A = Array1D.random(10, 0, 10);
3-
var LIS = new Array(10);
4+
var LIS = new Array(A.length);
45
tracer._setData(A);

‎algorithm/etc/dp/max_subarray/code.js‎

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1+
var maxSubarraySum = (function maxSubarray(array) {
2+
var maxSoFar = 0,
3+
maxEndingHere = 0;
4+
5+
logger._print('Initializing maxSoFar = 0 & maxEndingHere = 0');
6+
7+
for (var i = 0; i < array.length; i++) {
8+
tracer._select(i);
9+
logger._print(maxEndingHere + ' + ' + array[i]);
10+
maxEndingHere += array[i];
11+
logger._print('=> ' + maxEndingHere);
12+
13+
if (maxEndingHere < 0) {
14+
logger._print('maxEndingHere is negative, set to 0');
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maxEndingHere = 0;
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}
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if (maxSoFar < maxEndingHere) {
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logger._print('maxSoFar < maxEndingHere, setting maxSoFar to maxEndingHere (' + maxEndingHere + ')');
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maxSoFar = maxEndingHere;
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}
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tracer._wait();
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tracer._deselect(i);
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}
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return maxSoFar;
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})(D);
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logger._print('Maximum Subarray\'s Sum is: ' + maxSubarraySum);

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