classSolution{publicint[] searchRange(int[] nums,inttarget) {if(nums ==null|| nums.length ==0)returnnewint[]{-1,-1};//int[] res = new int[];intleft=0;intright=nums.length -1;while(left <= right) {intmid=(left + right) /2;if(nums[mid] == target) {inti=mid;intj=mid;...
as we mentioned before, the binary search idea can happens almost anywhere, like implement pow(x, n) function and search rotated array, and many other unexpected, not so explicit senerio. we need to dig deeper to that binary search, and especially, the boundary problems, those are really p...
You are a product manager and currently leading a team to develop a new product. Since each version is developed based on the previous version, all the versions after a bad version are also bad. Suppose you havenversions[1, 2, ..., n]and you want to find out the first bad one, whi...
Latin American Symposium on Theoretical InformaticsW. Gasarch and K. S. Guimar˜aes. Binary search and recursive graph problems. Theoretical Computer Science, 181:119-139, 1997.Gasarch WI,Guimaraes KS.BINARY SEARCH AND RECURSIVE GRAPH PROBLEMS. Theoretical Computer Science . 1997...
Here is a ternary search problem which involve floating point calculations:Link →Reply sbansal1999 2 years ago,#| +1 You can visit theEDUsection with thislinkand then enter theITMO Academy: pilot course. Visit the Binary Search Practice of Step 2, Problems B and D are based on Floating ...
However, some experiments [28] have demonstrated that true decomposition based on interactive learning is a promising method for enhancing the ability of CCEAs to solve large-scale problems. At present, the most widely studied decomposition method based on interaction learning is the perturbation ...
Based on this, a binary moth search algorithm based on self-learning (SLMS) is proposed to solve MKP. The basic idea is to utilize useful information from the one which is better than itself. The main contributions of this work can be summarized in the following aspects. Firstly, a new ...
I used ceil(log2√b + log2log2√b - 2) for calculating k, which is based on the suggestion in Section 3.1 of this paper by Ravi Montenegro and Prasad Tetali. When deciding on the amount of jumps N that the tame kangaroo is to make, I used the suggestion from the challenge descrip...
NANN is a flexible, high-performance framework for large-scale retrieval problems based on TensorFlow. Background NANN has been deeply cultivated and widely applied since 2021 in Alibaba, which supports many businesses such as Taobao display advertising, Taobao search advertising, and Shenma search. ...
That is it has to be able to recursively track it’s thought process and control its direction instead of mindlessly going through the whole search space. → Reply » » » » » klimandr 3 years ago, # ^ | +9 Well... Unfortunately ML currently is based on trying to ...