• 4 BFS & Topological Algorithm


    127. Topological Sorting

    https://www.lintcode.com/problem/topological-sorting/description?_from=ladder&&fromId=1

    1. 用Map来存储入度。可以用数组来存吗?不可以。

    Map<DirectedGraphNode, Integer> map,为什么要用map来存而不是数组来存呢?因为数组记录的都是Integer

    2. 将入度为0的结点压入 queue 中。同时,将入度为0的结点存到result里

    3. 遍历queue中的元素,遍历元素的neighbor,把对应 neighbor 的入度减一。当入度为0,将结点存到 result 里。

    /**
     * Definition for Directed graph.
     * class DirectedGraphNode {
     *     int label;
     *     ArrayList<DirectedGraphNode> neighbors;
     *     DirectedGraphNode(int x) { label = x; neighbors = new ArrayList<DirectedGraphNode>(); }
     * };
     */
    
    public class Solution {
        /*
         * @param graph: A list of Directed graph node
         * @return: Any topological order for the given graph.
         */
        public ArrayList<DirectedGraphNode> topSort(ArrayList<DirectedGraphNode> graph) {
            // write your code here
            ArrayList<DirectedGraphNode> result = new ArrayList<>();
            Map<DirectedGraphNode, Integer> map = new HashMap<>();
            for(DirectedGraphNode node: graph) {
                for(DirectedGraphNode neighbor: node.neighbors) {
                    if(map.containsKey(neighbor)) {
                        map.put(neighbor, map.get(neighbor) + 1);
                    } else {
                        map.put(neighbor, 1);
                    }
                }
            }
            Queue<DirectedGraphNode> queue = new LinkedList<>();
            for(DirectedGraphNode node: graph) {
                if(!map.containsKey(node)) {
                    queue.offer(node);
                    result.add(node);
                }
            }
            while(!queue.isEmpty()) {
                DirectedGraphNode curr = queue.poll();
                for(DirectedGraphNode neighbor: curr.neighbors) {
                    map.put(neighbor, map.get(neighbor) - 1);
                    if(map.get(neighbor) == 0) {
                        queue.offer(neighbor);
                        result.add(neighbor);
                    }
                }
            }
            return result;
        }
    }

    7. Serialize and Deserialize Binary Tree

    https://www.lintcode.com/problem/serialize-and-deserialize-binary-tree/description?_from=ladder&&fromId=1

    Serialize:

    1. 从根结点开始,将所有的左孩子,右孩子以及叶子结点,压入queue中。

    2. 从queue中移除一些不需要存储的元素。

    3. 进行append操作

    Deserialize:

    /**
     * Definition of TreeNode:
     * public class TreeNode {
     *     public int val;
     *     public TreeNode left, right;
     *     public TreeNode(int val) {
     *         this.val = val;
     *         this.left = this.right = null;
     *     }
     * }
     */
    
    
    public class Solution {
        /**
         * This method will be invoked first, you should design your own algorithm 
         * to serialize a binary tree which denote by a root node to a string which
         * can be easily deserialized by your own "deserialize" method later.
         */
        public String serialize(TreeNode root) {
            // write your code here
            if(root == null) {
                return "{}";
            }
            ArrayList<TreeNode> queue = new ArrayList<>();
            queue.add(root);
            for(int i = 0; i < queue.size(); i++) {
                TreeNode curr = queue.get(i);
                if(curr == null) {
                    continue;
                }
                queue.add(curr.left);
                queue.add(curr.right);
            }
            while(queue.get(queue.size() - 1) == null) {
                queue.remove(queue.size() - 1);
            }
            StringBuilder sb = new StringBuilder();
            sb.append("{");
            sb.append(queue.get(0).val);
            for(int i = 1; i < queue.size(); i++) {
                TreeNode curr = queue.get(i);
                if(curr == null) {
                    sb.append(",#");
                } else {
                    sb.append(",");
                    sb.append(curr.val);
                }
            }
            sb.append("}");
            return sb.toString();
        }
    
        /**
         * This method will be invoked second, the argument data is what exactly
         * you serialized at method "serialize", that means the data is not given by
         * system, it's given by your own serialize method. So the format of data is
         * designed by yourself, and deserialize it here as you serialize it in 
         * "serialize" method.
         */
        public TreeNode deserialize(String data) {
            // write your code here
            if(data.equals("{}")) {
                return null;
            }
            String[] vals = data.substring(1, data.length() - 1).split(",");
            ArrayList<TreeNode> queue = new ArrayList<>();
            TreeNode root = new TreeNode(Integer.parseInt(vals[0]));
            queue.add(root);
            int index = 0;
            boolean isLeftChild = true;
            for(int i = 1; i < vals.length; i++) {
                if(!vals[i].equals("#")) {
                    TreeNode node = new TreeNode(Integer.parseInt(vals[i]));
                    if(isLeftChild) {
                        queue.get(index).left = node;
                    } else {
                        queue.get(index).right = node;
                    }
                    queue.add(node);
                }
                if(!isLeftChild) {
                    index++;
                }
                isLeftChild =  !isLeftChild;
            }
            return root;
        }
    }
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  • 原文地址:https://www.cnblogs.com/jenna/p/10801530.html
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