# Largest Rectangle in histogram

Source: Internet
Author: User

Problem description

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 the where width of each bar is 1, given height = `[2,1,5,6,2,3]` .

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

For example,
Given height = `[2,1,5,6,2,3]` ,
Return `10` .

Solution Ideas

Clever use of auxiliary stacks.

(1) stored in the stack is the subscript of non-descending elements in the process of array traversal;

(2) If the current element of the traverse is smaller than the top element of the stack, the index element of the top value (subscript) of the stack is popped, as the height, the width depends on whether the stack is empty, or if NULL is the subscript value, otherwise the subscript of the current traverse minus the top value of the stack and then minus 1;

(3) The traversal ends, and if there are elements inside the stack, the calculation continues.

The time/Space complexity is O (n).

Program

`public class Solution {public    int largestrectanglearea (int[] height) {        if (height = = NULL | | height.length = = 0) {            return 0;        }                stack<integer> s = new stack<> ();        int max = 0;                for (int i = 0, I <= height.length; i++) {            int cur = i = = height.length? -1:height[i];//Trick while            (!s.is Empty () && cur < Height[s.peek ()]) {                int h = height[s.pop ()];                int w = S.isempty ()? I:i-S.peek ()-1;                max = Math.max (max, H * w);            }            S.push (i);        }                return max;}    }`

Maximal Rectangle

Problem description

Given a 2D binary matrix filled with 0 's and 1 ' s, find the largest rectangle containing all ones and return to its area.

Solution Ideas

Assume that the number of rows in the matrix is n and the number of columns is M.

First, the matrix is converted to n rectangle, and then the above method is used to calculate max and finally output the N max.

Program

`public class Solution {public int maximalrectangle (char[][] matrix) {if (Matrix = = NULL | | matrix.length = = 0 ||        Matrix[0].length = = 0) {return 0;        } int[][] Nums = transform (matrix);                int max = 0;        for (int i = 0; i < matrix.length; i++) {max = Math.max (max, Getmaxrectangle (Nums[i]));    } return max;        } private int Getmaxrectangle (int[] nums) {if (nums = = NULL | | nums.length = 0) {return 0;        } stack<integer> s = new stack<> ();                int max = 0;            for (int i = 0; I <= nums.length; i++) {int cur = i = = nums.length? -1:nums[i];                while (!s.isempty () && cur < Nums[s.peek ()]) {int h = nums[s.pop ()]; int w = S.isempty ()?                I:i-S.peek ()-1;            max = Math.max (max, H * w);        } s.push (i); } RetuRN Max; }//Transform to Single rectangle private int[][] transform (char[][] matrix) {int n = matrix.length, M        = Matrix[0].length;        int[][] Nums = new Int[n][m];        First row for (int j = 0; J < m; J + +) {Nums[0][j] = matrix[0][j]-' 0 '; }//other for (int i = 1, i < n; i++) {for (int j = 0; J < m; J + +) {Nums[i ][J] = matrix[i][j] = = ' 0 '?            0:NUMS[I-1][J] + 1;    }} return nums; }}`

Largest Rectangle in histogram

Related Keywords:

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

## A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

• #### Sales Support

1 on 1 presale consultation

• #### After-Sales Support

24/7 Technical Support 6 Free Tickets per Quarter Faster Response

• Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.