【算直方图最大矩形面积】了解即可

Given n non-negative integers representing the histogram's bar height where the width of each bar is 1, find the area of largest rectangle in the histogram.

Above is a histogram where width of each bar is 1, given height = [2,1,5,6,2,3].

The largest rectangle is shown in the shaded area, which has area = 10 unit.

For example,
Given heights = [2,1,5,6,2,3],
return 10.

package go.jacob.day702;
 
import java.util.Stack;
 
public class Demo2 {
 
	/*
	 * Runtime: 24 ms.Your runtime beats 67.12 % of java submissions.
	 */
	public int largestRectangleArea(int[] heights) {
		if (heights == null || heights.length < 1)
			return 0;
 
		Stack<Integer> stack = new Stack<Integer>();
		stack.push(-1);
		int max = 0;
		for (int i = 0; i < heights.length; i++) {
			// 把堆栈中比heights[i]大的元素都pop出,并计算面积
			while (stack.peek() != -1 && heights[i] < heights[stack.peek()]) {
				int top = stack.pop();
				// 面积计算公式:(i - 1-stack.peek() ) * heights[top])
				max = Math.max(max, (i - 1 - stack.peek()) * heights[top]);
			}
			stack.push(i);
		}
		while (stack.peek() != -1) {
			int top = stack.pop();
			max = Math.max(max, (heights.length - 1 - stack.peek()) * heights[top]);
		}
		return max;
	}
}

变形题:maximal rectangle 

把每一行作为x轴起点,看成求直方图中最大矩形面积问题


    public int maximalRectangle(char[][] matrix) {
        if (matrix == null || matrix.length == 0 || matrix[0].length == 0)
            return 0;
        int m = matrix.length, n = matrix[0].length;
        int max = 0;
        int[] h = new int[n];
        for (int i = 0; i < m; i++) {
            Stack<Integer> stack = new Stack<Integer>();
            stack.push(-1);
            for (int j = 0; j < n; j++) {
                if (matrix[i][j] == '1')
                    h[j] += 1;
                else
                    h[j] = 0;
 
            }
            for (int j = 0; j < n; j++) {
                while (stack.peek() != -1 && h[j] < h[stack.peek()]) {
                    int top = stack.pop();
                    max = Math.max(max, (j - 1 - stack.peek()) * h[top]);
                }
                stack.push(j);
            }
            while (stack.peek() != -1) {
                int top = stack.pop();
                max = Math.max(max, (n - 1 - stack.peek()) * h[top]);
            }
        }
        return max;
    }

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转载自blog.csdn.net/m0_38033475/article/details/92562474
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