题目地址:https://leetcode-cn.com/problems/max-difference-you-can-get-from-changing-an-integer/题目描述给你一个整数 num 。你可以对它进行如下步骤恰好 两次 :选择一个数字 x (0 <= x <= 9). 选择另一个数字 y (0 <= y <= 9) 。数字 y 可以等于 x。 将num 中所有出现 x 的数位都用 y...
Let a and b be the results of applying the operations to num the first and second times, respectively. Return the max difference between a and b. Example 1: Input: num = 555 Output: 888 Explanation: The first time pick x = 5 and y = 9 and store the new integer in a. The second...
The input array will only contain0and1. The length of input array is a positive integer and will not exceed 10,000 思路:count存储当前连续1的数量,max为最大连续1的数量,遍历数组,遇见0便取count与max的较大者,遇见1则将count加1。要注意最后末尾的1。
The naive solution is brute-force, which is O((mn)^2). In order to be more efficient, I tried something similar to Kadane's algorithm. The only difference is that here we have upper bound restriction K. First, How to find the max sum rectangle in 2D array? The naive way is O(N^...
Is there any difference between this algorithm and Container With Most Water aside from the fact that i ==j? When does that solution fail? Thanks! https://leetcode.com/problems/container-with-most-water/ 2 Reply Share Report ...
findTheDifference.java │ ├── groupAnagrams.java │ ├── groupShiftedStrings.java │ ├── islandPerimeter.java │ ├── loggerRateLimiter.java │ ├── maximumSizeSubarraySumEqualsK.java │ ├── minimumWindowSubstring.java │ ├── sparseMatrixMultiplication.java │ ├── strobogram...
Finally, the code returns the value stored in the bottom-right corner of the dp array, which represents the maximum number of uncrossed lines or the length of the LCS. The bottom-up dynamic programming approach discussed in this blog post provides an effic...
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DIFFERENCE BETWEEN SOFTMAX FUNCTION AND SIGMOID FUNCTION 二者主要的区别见于, softmax 用于多分类,sigmoid 则主要用于二分类: ... The Softmax function and its derivative https://eli.thegreenplace.net/2016/the-softmax-function-and-its-derivative/ Eli Bendersky's website ... sigmoid function和soft...