Add ES6 Examples to all chapters (#38)
* add ES6 example for binary search * add ES6 example for selection sort * add ES6 example for countdown * add ES6 example for greet * add ES6 example for factorial * edit ES6 example for quicksort * add ES6 example for loop sum * add ES6 example for recursive sum * add ES6 example for recursive count * add ES6 example for recursive max * add ES6 example for price of groceries * add ES6 example for check voter * add ES6 example for breadth-first search * add ES6 example for dijkstras algorithm * edit ES6 example for dijkstras algorithm * edit ES6 example for set covering * add ES6 example for longest common subsequence
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committed by
Aditya Bhargava
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1a81d3e6b2
commit
ec2890a93d
72
07_dijkstras_algorithm/ES6/01_dijkstras_algorithm.js
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72
07_dijkstras_algorithm/ES6/01_dijkstras_algorithm.js
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// the graph
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const graph = {};
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graph.start = {};
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graph.start.a = 6;
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graph.start.b = 2;
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graph.a = {};
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graph.a.fin = 1;
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graph.b = {};
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graph.b.a = 3;
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graph.b.fin = 5;
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graph.fin = {};
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// The costs table
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const costs = {};
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costs.a = 6;
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costs.b = 2;
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costs.fin = Infinity;
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// the parents table
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const parents = {};
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parents.a = 'start';
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parents.b = 'start';
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parents.fin = null;
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let processed = [];
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const findLowestCostNode = (itCosts) => {
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let lowestCost = Infinity;
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let lowestCostNode = null;
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Object.keys(itCosts).forEach((node) => {
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const cost = itCosts[node];
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// If it's the lowest cost so far and hasn't been processed yet...
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if (cost < lowestCost && (processed.indexOf(node) === -1)) {
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// ... set it as the new lowest-cost node.
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lowestCost = cost;
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lowestCostNode = node;
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}
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});
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return lowestCostNode;
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};
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let node = findLowestCostNode(costs);
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while (node !== null) {
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const cost = costs[node];
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// Go through all the neighbors of this node
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const neighbors = graph[node];
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Object.keys(neighbors).forEach((n) => {
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const newCost = cost + neighbors[n];
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// If it's cheaper to get to this neighbor by going through this node
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if (costs[n] > newCost) {
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// ... update the cost for this node
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costs[n] = newCost;
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// This node becomes the new parent for this neighbor.
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parents[n] = node;
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}
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});
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// Mark the node as processed
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processed = processed.concat(node);
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// Find the next node to process, and loop
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node = findLowestCostNode(costs);
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}
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console.log('Cost from the start to each node:');
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console.log(costs); // { a: 5, b: 2, fin: 6 }
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