《漫画算法》源码整理-6
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判断链表有环
public class LinkedListCycle
/**
* 判断是否有环
* @param head 链表头节点
*/
public static boolean isCycle(Node head)
Node p1 = head;
Node p2 = head;
while (p2!=null && p2.next!=null)
p1 = p1.next;
p2 = p2.next.next;
if(p1 == p2)
return true;
return false;
/**
* 链表节点
*/
private static class Node
int data;
Node next;
Node(int data)
this.data = data;
public static void main(String[] args) throws Exception
Node node1 = new Node(5);
Node node2 = new Node(3);
Node node3 = new Node(7);
Node node4 = new Node(2);
Node node5 = new Node(6);
node1.next = node2;
node2.next = node3;
node3.next = node4;
node4.next = node5;
node5.next = node2;
System.out.println(isCycle(node1));
最小数栈
import java.util.Stack;
public class MinStack
private Stack<Integer> mainStack = new Stack<Integer>();
private Stack<Integer> minStack = new Stack<Integer>();
/**
* 入栈操作
* @param element 入栈的元素
*/
public void push(int element)
mainStack.push(element);
//如果辅助栈为空,或新元素小于等于辅助栈栈顶,则新元素压入辅助栈
if (minStack.empty() || element <= minStack.peek())
minStack.push(element);
/**
* 出栈操作
*/
public Integer pop()
//如果出栈元素和辅助栈栈顶元素值相等,辅助栈出栈
if (mainStack.peek().equals(minStack.peek()))
minStack.pop();
return mainStack.pop();
/**
* 获取栈的最小元素
*/
public int getMin() throws Exception
if (mainStack.empty())
throw new Exception("stack is empty");
return minStack.peek();
public static void main(String[] args) throws Exception
MinStack stack = new MinStack();
stack.push(4);
stack.push(9);
stack.push(7);
stack.push(3);
stack.push(8);
stack.push(5);
System.out.println(stack.getMin());
stack.pop();
stack.pop();
stack.pop();
System.out.println(stack.getMin());
最大公约数
public class GreatestCommonDivisor
public static int getGreatestCommonDivisor(int a, int b)
int big = a>b ? a:b;
int small = a<b ? a:b;
if(big%small == 0)
return small;
for(int i= small/2; i>1; i--)
if(small%i==0 && big%i==0)
return i;
return 1;
public static int getGreatestCommonDivisorV2(int a, int b)
int big = a>b ? a:b;
int small = a<b ? a:b;
if(big%small == 0)
return small;
return getGreatestCommonDivisorV2(big%small, small);
public static int getGreatestCommonDivisorV3(int a, int b)
if(a == b)
return a;
int big = a>b ? a:b;
int small = a<b ? a:b;
return getGreatestCommonDivisorV3(big - small, small);
public static int gcd(int a, int b)
if(a == b)
return a;
if((a&1)==0 && (b&1)==0)
return gcd(a >> 1, b >> 1)<<1;
else if((a&1)==0 && (b&1)!=0)
return gcd(a >> 1, b);
else if((a&1)!=0 && (b&1)==0)
return gcd(a, b >> 1);
else
int big = a>b ? a:b;
int small = a<b ? a:b;
return gcd(big - small, small);
public static void main(String[] args)
System.out.println(gcd(25, 5));
System.out.println(gcd(100, 80));
System.out.println(gcd(27, 14));
2的幂
public class PowerOf2
public static boolean isPowerOf2(int num)
int temp = 1;
while(temp<=num)
if(temp == num)
return true;
temp = temp*2;
return false;
public static boolean isPowerOf2V2(int num)
int temp = 1;
while(temp<=num)
if(temp == num)
return true;
temp = temp<<1;
return false;
public static boolean isPowerOf2V3(int num)
return (num&num-1) == 0;
public static void main(String[] args)
System.out.println(isPowerOf2V3(32));
System.out.println(isPowerOf2V3(19));
最大有序距离
public class MaxSortedDistance
public static int getMaxSortedDistance(int[] array)
//1.得到数列的最大值和最小值
int max = array[0];
int min = array[0];
for(int i=1; i<array.length; i++)
if(array[i] > max)
max = array[i];
if(array[i] < min)
min = array[i];
int d = max - min;
//如果max和min相等,说明数组所有元素都相等,返回0
if(d == 0)
return 0;
//2.初始化桶
int bucketNum = array.length;
Bucket[] buckets = new Bucket[bucketNum];
for(int i = 0; i < bucketNum; i++)
buckets[i] = new Bucket();
//3.遍历原始数组,确定每个桶的最大最小值
for(int i = 0; i < array.length; i++)
//确定数组元素所归属的桶下标
int index = ((array[i] - min) * (bucketNum-1) / d);
if(buckets[index].min==null || buckets[index].min>array[i])
buckets[index].min = array[i];
if(buckets[index].max==null || buckets[index].max<array[i])
buckets[index].max = array[i];
//4.遍历桶,找到最大差值
int leftMax = buckets[0].max;
int maxDistance = 0;
for (int i=1; i<buckets.length; i++)
if (buckets[i].min == null)
continue;
if (buckets[i].min - leftMax > maxDistance)
maxDistance = buckets[i].min - leftMax;
leftMax = buckets[i].max;
return maxDistance;
/**
* 桶
*/
private static class Bucket
Integer min;
Integer max;
public static void main(String[] args)
int[] array = new int[] 2,6,3,4,5,10,9;
System.out.println(getMaxSortedDistance(array));
用栈实现队列
import java.util.Stack;
public class StackQueue
private Stack<Integer> stackA = new Stack<Integer>();
private Stack<Integer> stackB = new Stack<Integer>();
/**
* 入队操作
* @param element 入队的元素
*/
public void enQueue(int element)
stackA.push(element);
/**
* 出队操作
*/
public Integer deQueue()
if(stackB.isEmpty())
if(stackA.isEmpty())
return null;
transfer();
return stackB.pop();
/**
* 栈A元素转移到栈B
*/
private void transfer()
while (!stackA.isEmpty())
stackB.push(stackA.pop());
public static void main(String[] args) throws Exception
StackQueue stackQueue = new StackQueue();
stackQueue.enQueue(1);
stackQueue.enQueue(2);
stackQueue.enQueue(3);
System.out.println(stackQueue.deQueue());
System.out.println(stackQueue.deQueue());
stackQueue.enQueue(4);
System.out.println(stackQueue.deQueue());
System.out.println(stackQueue.deQueue());
最近数字
import java.util.Arrays;
public class FindNearestNumber
public static int[] findNearestNumber(int[] numbers)
//1.从后向前查看逆序区域,找到逆序区域的前一位,也就是数字置换的边界
int index = findTransferPoint(numbers);
//如果数字置换边界是0,说明整个数组已经逆序,无法得到更大的相同数字组成的整数,返回null
if(index == 0)
return null;
//2.把逆序区域的前一位和逆序区域中刚刚大于它的数字交换位置
//拷贝入参,避免直接修改入参
int[] numbersCopy = Arrays.copyOf(numbers, numbers.length);
exchangeHead(numbersCopy, index);
//3.把原来的逆序区域转为顺序
reverse(numbersCopy, index);
return numbersCopy;
private static int findTransferPoint(int[] numbers)
for(int i=numbers.length-1; i>0; i--)
if(numbers[i] > numbers[i-1])
return i;
return 0;
private static int[] exchangeHead(int[] numbers, int index)
int head = numbers[index-1];
for(int i=numbers.length-1; i>0; i--)
if(head < numbers[i])
numbers[index-1] = numbers[i];
numbers[i] = head;
break;
return numbers;
private static int[] reverse(int[] num, int index)
for(int i=index,j=num.length-1; i<j; i++,j--)
int temp = num[i];
num[i] = num[j];
num[j] = temp;
return num;
public static void main(String[] args)
int[] numbers = 1,2,3,4,5;
//打印12345之后的10个全排列整数
for(int i=0; i<10;i++)
numbers = findNearestNumber(numbers);
outputNumbers(numbers);
//输出数组
private static void outputNumbers(int[] numbers)
for(int i : numbers)
System.out.print(i);
System.out.println();
删除整数的k个数字,获得删除后的最小值
public class RemoveKDigits
/**
* 删除整数的k个数字,获得删除后的最小值
* @param num 原整数
* @param k 删除数量
*/
public static String removeKDigits(String num, int k)
for(int i=0; i<k; i++)
boolean hasCut = false;
//从左向右遍历,找到比自己右侧数字大的数字并删除
for(int j=0; j<num.length()-1;j++)
if(num.charAt(j) > num.charAt(j+1))
num = num.substring(0, j) + num.substring(j+1,num.length());
hasCut = true;
break;
//如果没有找到要删除的数字,则删除最后一个数字
if(!hasCut)
num = num.substring(0, num.length()-1);
//清除整数左侧的数字0
int start = 0;
for(int j=0; j<num.length()-1; j++)
if(num.charAt(j) != '0')
break;
start++;
num = num.substring(start, num.length()) ;
//如果整数的所有数字都被删除了,直接返回0
if(num.length() == 0)
return "0";
return num;
/**
* 删除整数的k个数字,获得删除后的最小值
* @param num 原整数
* @param k 删除数量
*/
public static String removeKDigitsV2(String num, int k)
//新整数的最终长度 = 原整数长度 - k
int newLength = num.length() - k;
//创建一个栈,用于接收所有的数字
char[] stack = new char[num.length()];
int top = 0;
for (int i = 0; i < num.length(); ++i)
//遍历当前数字
char c = num.charAt(i);
//当栈顶数字大于遍历到的当前数字,栈顶数字出栈(相当于删除数字)
while (top > 0 && stack[top-1] > c && k > 0)
top -= 1;
k -= 1;
//如果遇到数字0,且栈为空,0不入栈
if('0' == c && top == 0)
newLength--;
if(newLength <= 0)
return "0";
continue;
//遍历到的当前数字入栈
stack[top++] = c;
// 用栈构建新的整数字符串
return newLength<=0 ? "0" : new String(stack, 0, newLength);
public static void main(String[] args)
System.out.println(removeKDigits("1593212", 3));
System.out.println(removeKDigits("30200", 1));
System.out.println(removeKDigits("10", 2));
System.out.println(removeKDigits("541270936", 3));
System.out.println(removeKDigits("1593212", 4));
System.out.println(removeKDigits("1000020000000010", 2));
大整数求和
public class BigNumberSum
/**
* 大整数求和
* @param bigNumberA 大整数A
* @param bigNumberB 大整数B
*/
public static String bigNumberSum(String bigNumberA, String bigNumberB)
//1.把两个大整数用数组逆序存储,数组长度等于较大整数位数+1
int maxLength = bigNumberA.length() > bigNumberB.length() ? bigNumberA.length() : bigNumberB.length();
int[] arrayA = new int[maxLength+1];
for(int i=0; i< bigNumberA.length(); i++)
arrayA[i] = bigNumberA.charAt(bigNumberA.length()-1-i) - '0';
int[] arrayB = new int[maxLength+1];
for(int i=0; i< bigNumberB.length(); i++)
arrayB[i] = bigNumberB.charAt(bigNumberB.length()-1-i) - '0';
//2.构建result数组,数组长度等于较大整数位数+1
int[] result = new int[maxLength+1];
//3.遍历数组,按位相加
for(int i=0; i<result.length; i++)
int temp = result[i];
temp += arrayA[i];
temp += arrayB[i];
//判断是否进位
if(temp >= 10)
temp = temp-10;
result[i+1] = 1;
result[i] = temp;
//4.把result数组再次逆序并转成String
StringBuilder sb = new StringBuilder();
//是否找到大整数的最高有效位
boolean findFirst = false;
for (int i = result.length - 1; i >= 0; i--)
if(!findFirst)
if(result[i] == 0)
continue;
findFirst = true;
sb.append(result[i]);
return sb.toString();
public static void main(String[] args)
System.out.println(bigNumberSum("426709752318", "95481253129"));
获得金矿最优收益
public class GoldMining
/**
* 获得金矿最优收益
* @param w 工人数量
* @param p 金矿开采所需工人数量
* @param g 金矿储量
*/
public static int getBestGoldMiningV3(int w, int[] p, int[] g)
//创建当前结果
int[] results = new int[w+1];
//填充一维数组
for(int i=1; i<=g.length; i++)
for(int j=w; j>=1; j--)
if(j>=p[i-1])
results[j] = Math.max(results[j], results[j-p[i-1]]+ g[i-1]);
//返回最后一个格子的值
return results[w];
/**
* 获得金矿最优收益
* @param w 工人数量
* @param p 金矿开采所需工人数量
* @param g 金矿储量
*/
public static int getBestGoldMiningV2(int w, int[] p, int[] g)
//创建表格
int[][] resultTable = new int[g.length+1][w+1];
//填充表格
for(int i=1; i<=g.length; i++)
for(int j=1; j<=w; j++)
if(j<p[i-1])
resultTable[i][j] = resultTable[i-1][j];
else
resultTable[i][j] = Math.max(resultTable[i-1][j], resultTable[i-1][j-p[i-1]]+ g[i-1]);
//返回最后一个格子的值
return resultTable[g.length][w];
/**
* 获得金矿最优收益
* @param w 工人数量
* @param n 可选金矿数量
* @param p 金矿开采所需工人数量
* @param g 金矿储量
*/
public static int getBestGoldMining(int w, int n, int[] p, int[] g)
if(w==0 || n==0)
return 0;
if(w<p[n-1])
return getBestGoldMining(w, n-1, p, g);
return Math.max(getBestGoldMining(w, n-1, p, g), getBestGoldMining(w-p[n-1], n-1, p, g)+g[n-1]);
public static void main(String[] args)
int w = 10;
int[] p = 5, 5, 3, 4 ,3;
int[] g = 400, 500, 200, 300 ,350;
System.out.println("最优收益:" + getBestGoldMining(w, g.length, p, g));
找到缺失的数字
public class FindLostNum
public static int[] findLostNum(int[] array)
//用于存储两个出现奇数次的整数
int result[] = new int[2];
//第一次整体异或
int xorResult = 0;
for(int i=0;i<array.length;i++)
xorResult^=array[i];
//如果异或结果为0,说明输入数组不符合题目
if(xorResult == 0)
return null;
//确定两个整数的不同位,以此来做分组
int separator = 1;
while (0==(xorResult&separator))
separator<<=1;
//第二次分组异或
for(int i=0;i<array.length;i++)
if(0==(array[i]&separator))
result[0]^=array[i];
else
result[1]^=array[i];
return result;
public static void main(String[] args)
int[] array = 4,1,2,2,5,1,4,3;
int[] result = findLostNum(array);
System.out.println(result[0] + "," + result[1]);
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