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算法总结

算法总结

作者: 进击的诺基亚 | 来源:发表于2019-04-09 22:34 被阅读0次
    1. 基本排序算法
    2. 二叉树三种遍历方式
    3. 反转链表
    4. 反转链表的m到n个节点
    5. 股票买入卖出最大利润
    6. 全排列
    7. 去重的全排列
    8. LRU
    9. 从一个数组中找出和为T的组合

    基本排序算法

    快速排序:
    class Solution(object):
        def quickSort(self, arr, start, end):
            i = start
            j = end
            sp = arr[start]
    
            while i < j:
                while i < j and arr[j] >= sp:
                    j -= 1
                if i < j:
                    arr[i] = arr[j]
                    i += 1
                while i < j and arr[i] <= sp:
                    i += 1
                if i < j:
                    arr[j] = arr[i]
                    j -= 1
    
            arr[i] = sp
            if start < i-1:
                self.quickSort(arr, start, i - 1)
            if j+1 < end:
                self.quickSort(arr, j + 1, end)
    
    

    二叉树遍历

    前序遍历:
    public void PreOrderTraversal(BitNode root) {
        if (root != null) {
            System.out.print(root.data);
            PreOrderTraversal(root.left);
            PreOrderTraversal(root.right);
        }
    }
    
    深度优先搜索:
    public void DepthFirstSearch(BitNode root) {
        Stack<BitNode> nodeStack = new Stack<>();
        nodeStack.push(root);
        while (!nodeStack.empty()) {
            BitNode node = nodeStack.peek();
            System.out.print(root.data);
            nodeStack.pop();
            if (node.right != null) {
                nodeStack.push(node.right);
            }
            if (node.left != null) {
                nodeStack.push(node.left);
            }
        }
    }
    
    广度优先搜索:
    public void BreadthFirstSearch(BitNode root) {
        Queue<BitNode> nodeQueue = new PriorityQueue<>();
        nodeQueue.add(root);
        while (!nodeQueue.isEmpty()) {
            BitNode node = nodeQueue.peek();
            System.out.print(root.data);
            nodeQueue.poll();
            if (node.left != null) {
                nodeQueue.add(node.left);
            }
            if (node.right != null) {
                nodeQueue.add(node.right);
            }
        }
    }
    
    打印出二叉树所有路径
    class Solution {
        
        public List<List<Integer>> pathSum(TreeNode root, int sum) {
            List<List<Integer>> result= new ArrayList<>();
            List<Integer> path = new ArrayList<>();
            if (root!=null){
                paths(result, path, root, 0);
            }
            return result;
        }
    
        private void paths(List<List<Integer>> result, List<Integer> curPath,TreeNode root, int depth){
            curPath.add(depth, root.val);
            if (root.left == null && root.right == null){
                ArrayList<Integer> path=new ArrayList<>();
                for (int i=0; i<=depth; i++){
                    path.add(curPath.get(i));
                }
                result.add(path);
                return;
            }
    
            if (root.left!=null){
                paths(result, curPath, root.left, depth+1);
            }
            if (root.right!=null){
                paths(result, curPath, root.right, depth+1);
            }
    
        }
    
    }
    
    层次遍历
    class Solution {
        public List<List<Integer>> levelOrder(TreeNode root) {
            List<List<Integer>> result=new ArrayList<List<Integer>>();
            if(root==null){
                return result;
            }
            Queue<TreeNode> queue=new LinkedList<TreeNode>();
            queue.add(root);
            while(!queue.isEmpty()){
                List<Integer> list=new ArrayList<Integer>();
                for(int count=queue.size();count>0;count--){
                    TreeNode tempNode=queue.poll();
                    list.add(tempNode.val);
                    if(tempNode.left!=null){
                        queue.add(tempNode.left);
                    }
                    if(tempNode.right!=null){
                        queue.add(tempNode.right);
                    }
                }
                result.add(list);       
            }
            return result;
        }
    }
    
    

    反转链表

    反转链表:
    class Solution {
        public ListNode reverseList(ListNode head) {
            ListNode prev=null,curr=head,next=null;
            while(curr!=null){
                next=curr.next;
                curr.next=prev;
                prev=curr;
                curr=next;
            }
            return prev; 
        }
    }
    
    反转m到n个节点:
    class Solution {
        public ListNode reverseBetween(ListNode head, int m, int n) {
            ListNode dummy=new ListNode(0);
            dummy.next=head;
            ListNode mPre=dummy,nNext=null,curr=null,next=null,prev=null;
            
            for(int i=0;i<m-1;i++){
                mPre=mPre.next;
            }
            curr=mPre.next;
            for(int i=0;i<=n-m;i++){
                next=curr.next;
                curr.next=prev;
                prev=curr;
                curr=next;
                nNext=next;
            }
            mPre.next.next=nNext;
            mPre.next=prev;      
            return dummy.next;
        }
    }
    

    股票买入卖出最大利润

    全排列

    全排列:
    class Solution { 
         public List<List<Integer>> permute(int[] nums) {
            List<List<Integer>> res = new ArrayList<List<Integer>>();
            if(nums==null || nums.length==0) {
                return res;
            }
            range(nums,0,nums.length,res);
            return res;
        }
        
        public void range(int[] nums, int start, int length, List<List<Integer>> res){
            if (start == length-1){
                res.add(toArrayList(nums));
                return;
            }
            for (int i=start;i<nums.length;i++){
                int temp=nums[start];
                nums[start]=nums[i];
                nums[i]=temp;
                
                range(nums,start+1,length,res);
                
                nums[i]=nums[start];
                nums[start]=temp;
            }
        }
        
        public List<Integer> toArrayList(int[] nums){
            List<Integer> list = new ArrayList<Integer>();
            for(int i=0;i<nums.length;i++){
                list.add(nums[i]);
            }
            return list;
        }
    }
    
    去重的全排列:
    class Solution {
         public List<List<Integer>> permuteUnique(int[] nums) {
            List<List<Integer>> res = new ArrayList<List<Integer>>();
            if(nums==null || nums.length==0) {
                return res;
            }
             Arrays.sort(nums);
            range(nums,0,nums.length,res);
            return res;
        }
            
        public void range(int[] nums, int start, int length, List<List<Integer>> res){
            if (start == length-1){
                res.add(toArrayList(nums));
                return;
            }
            for (int i=start;i<nums.length;i++){
                boolean isSwap=true;
                for(int j=start;j<i;j++){
                    if(nums[j]==nums[i]){
                        isSwap=false;
                    }
                }
                
                if(!isSwap){
                    continue;
                }
                int temp=nums[start];
                nums[start]=nums[i];
                nums[i]=temp;
                
                range(nums,start+1,length,res);
                
                nums[i]=nums[start];
                nums[start]=temp;
            }
        }
        
        public List<Integer> toArrayList(int[] nums){
            List<Integer> list = new ArrayList<Integer>();
            for(int i=0;i<nums.length;i++){
                list.add(nums[i]);
            }
            return list;
        }
    }
    
    全组合
    public static void combination(char[] chars) {
        if (chars == null) return;
        int length = chars.length;
        int count = 1 << length;
        for (int i = 1; i < count; i++) {
            for (int j = 0; j < length; j++) {
                if ((i & (1 << j)) > 0) {
                    System.out.print(chars[j]);
                }
            }
            System.out.println();
        }
    }
    

    LRU

    public class LRUCache {
    
        private Map<Integer, Integer> map;
    
        public LRUCache(int capacity) {
            map = new LinkedHashMap<Integer, Integer>(capacity, 1.0f, true) {
                @Override
                protected boolean removeEldestEntry(Map.Entry eldest) {
                    return this.size() > capacity;
                }
            };
        }
    
        public int get(int key) {
            return map.getOrDefault(key, -1);
        }
    
        public void put(int key, int value) {
            map.put(key, value);
        }
    
    }
    

    多线程

    import java.util.concurrent.locks.Lock;
    import java.util.concurrent.locks.ReentrantLock;
    
    public class Main {
        private final Lock lock = new ReentrantLock();// 通过JDK5中的Lock锁来保证线程的访问的互斥
        private int state = 0;//通过state的值来确定是否打印
    
        class ThreadA extends Thread {
            @Override
            public void run() {
                for (int i = 0; i < 10; ) {
                    try {
                        lock.lock();
                        while (state % 3 == 0) {// 多线程并发,不能用if,必须用循环测试等待条件,避免虚假唤醒
                            System.out.print("A");
                            state++;
                            i++;
                        }
                    } finally {
                        lock.unlock();// unlock()操作必须放在finally块中
                    }
                }
            }
        }
    
        public static void main(String[] args) {
            Main m = new Main();
            m.new ThreadA().start();
        }
    }
    

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