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package class25;
import java.util.Stack;
public class Code02_AllTimesMinToMax {
public static int max1(int[] arr) {
int max = Integer.MIN_VALUE;
for (int i = 0; i < arr.length; i++) {
for (int j = i; j < arr.length; j++) {
int minNum = Integer.MAX_VALUE;
int sum = 0;
for (int k = i; k <= j; k++) {
sum += arr[k];
minNum = Math.min(minNum, arr[k]);
}
max = Math.max(max, minNum * sum);
}
}
return max;
}
public static int max2(int[] arr) {
int size = arr.length;
int[] sums = new int[size];
sums[0] = arr[0];
for (int i = 1; i < size; i++) {
sums[i] = sums[i - 1] + arr[i];
}
int max = Integer.MIN_VALUE;
Stack<Integer> stack = new Stack<Integer>();
for (int i = 0; i < size; i++) {
while (!stack.isEmpty() && arr[stack.peek()] >= arr[i]) {
int j = stack.pop();
max = Math.max(max, (stack.isEmpty() ? sums[i - 1] : (sums[i - 1] - sums[stack.peek()])) * arr[j]);
}
stack.push(i);
}
while (!stack.isEmpty()) {
int j = stack.pop();
max = Math.max(max, (stack.isEmpty() ? sums[size - 1] : (sums[size - 1] - sums[stack.peek()])) * arr[j]);
}
return max;
}
public static int[] gerenareRondomArray() {
int[] arr = new int[(int) (Math.random() * 20) + 10];
for (int i = 0; i < arr.length; i++) {
arr[i] = (int) (Math.random() * 101);
}
return arr;
}
public static void main(String[] args) {
int testTimes = 2000000;
System.out.println("test begin");
for (int i = 0; i < testTimes; i++) {
int[] arr = gerenareRondomArray();
if (max1(arr) != max2(arr)) {
System.out.println("FUCK!");
break;
}
}
System.out.println("test finish");
}
// 本题可以在leetcode上找到原题
// 测试链接 : https://leetcode.com/problems/maximum-subarray-min-product/
// 注意测试题目数量大,要取模,但是思路和课上讲的是完全一样的
// 注意溢出的处理即可也就是用long类型来表示累加和
// 还有优化就是,你可以用自己手写的数组栈,来替代系统实现的栈,也会快很多
public static int maxSumMinProduct(int[] arr) {
int size = arr.length;
long[] sums = new long[size];
sums[0] = arr[0];
for (int i = 1; i < size; i++) {
sums[i] = sums[i - 1] + arr[i];
}
long max = Long.MIN_VALUE;
int[] stack = new int[size];
int stackSize = 0;
for (int i = 0; i < size; i++) {
while (stackSize != 0 && arr[stack[stackSize - 1]] >= arr[i]) {
int j = stack[--stackSize];
max = Math.max(max,
(stackSize == 0 ? sums[i - 1] : (sums[i - 1] - sums[stack[stackSize - 1]])) * arr[j]);
}
stack[stackSize++] = i;
}
while (stackSize != 0) {
int j = stack[--stackSize];
max = Math.max(max,
(stackSize == 0 ? sums[size - 1] : (sums[size - 1] - sums[stack[stackSize - 1]])) * arr[j]);
}
return (int) (max % 1000000007);
}
}