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ALGORITHM QUESTIONS

Interview stumper: friends of friends of friends
Interview stumper: friends of friends of friends
this will help One interesting approach is to translate the friend graph into an adjacency matrix, and then raise the matrix to the 5th power. This gives you an adjacency matrix containing counts of the number of paths-of-length-5 between each node.N
TAG : algorithm
Date : November 29 2020, 01:01 AM , By : ddd
Computing the union and intersection of two unsorted arrays in O(nlogm) time
Computing the union and intersection of two unsorted arrays in O(nlogm) time
This might help you As vivek_23 said, you can do better using a hash table with high probability. However, to achieve O(n log m), and assuming your sets are stored as arrays, you can sort A in O(m log m) time and then do n binary searches for each el
TAG : algorithm
Date : November 25 2020, 07:06 PM , By : Juancho Carvajal
Find medians in multiple sub ranges of a unordered list
Find medians in multiple sub ranges of a unordered list
it fixes the issue INTEGER ELEMENTS:If the type of your elements are integers, then the best way is to have a bucket for each number lies in any of your sub-ranges, where each bucket is used for counting the number its associated integer found in you
TAG : algorithm
Date : November 25 2020, 07:06 PM , By : Mochamad Tri Dharmaw
clustering words based on their char set
clustering words based on their char set
I hope this helps . For detecting anagrams you can use a hashing scheme based on the product of prime numbers A->2, B->3, C->5 etc. will give "abba" == "aabb" == 36 (but a different letter to primenumber mapping will be better) See my answer here.
TAG : algorithm
Date : November 25 2020, 01:01 AM , By : AlexAndr
How to divide a number into multiple parts(not equal) so that there sum is equal to input?
How to divide a number into multiple parts(not equal) so that there sum is equal to input?
around this issue Simple approach exploits "trial and error" method. Suitable for reasonable small input values.Note - it might work long time when n is close to p*maxx. If such case is possible, it would more wise to distribute "holes" rather than "
TAG : algorithm
Date : November 24 2020, 05:44 AM , By : Ngai Fong
Efficient algorithm for finding repeating bit patterns?
Efficient algorithm for finding repeating bit patterns?
will help you If you have a large collection of strings and want to find long substrings common to all of those strings, you might want to consider building a generalized suffix tree for all of the strings. Once you have done so, you can find all sub
TAG : algorithm
Date : November 24 2020, 05:44 AM , By : Steve
confusion about dijkstra algorithm?
confusion about dijkstra algorithm?
Any of those help Dijkstra algorithm can work on a graph of some negative edges sometimes,like:
TAG : algorithm
Date : November 24 2020, 05:44 AM , By : Bruce Lees Nunchaku
Connected components in organized 3d point cloud data
Connected components in organized 3d point cloud data
should help you out As @Amro pointed out, DBSCAN is the algorithm you should study. It is a clustering based on ''density-connected'' components.Also note the GDBSCAN variant (Generalized DBSCAN). You are not restricted to primitive distances such as
TAG : algorithm
Date : November 24 2020, 05:44 AM , By : Kemal Tuna
Worst case NlogN algorithm for Nuts and bolts matching
Worst case NlogN algorithm for Nuts and bolts matching
should help you out Yes, as of 1995 there are worst-case O(n log n)-time algorithms known for this problem, but they appear to be quite complicated. Here are two citations from Jeff Erickson's algorithm notes:
TAG : algorithm
Date : November 24 2020, 01:01 AM , By : user2957689
Is recursion or stack necessary for factorial time complexity algorithms?
Is recursion or stack necessary for factorial time complexity algorithms?
Any of those help I have a set with elements. I need to generate all the permutations of those elements. , The answer to
TAG : algorithm
Date : November 24 2020, 01:01 AM , By : user2957636
hashing mechanism to hash an input (0 to 2^32 - 1) to a fixed possibly 12 character hash
hashing mechanism to hash an input (0 to 2^32 - 1) to a fixed possibly 12 character hash
With these it helps Using md5 and chopping off most of it is not a good idea, because there is no guarantee that you would get a unique cache. Besides, you have much easier alternatives available to you, because you have a lot more bits than you need
TAG : algorithm
Date : November 24 2020, 01:01 AM , By : user2957406
Time Complexity Of This Code Snippet
Time Complexity Of This Code Snippet
will be helpful for those in need Well, I'm not sure, but I'll give it a shot. The factorial is, in essence, a gamma function. And gamma function is defined not only for natural numbers, but also for real numbers. So, there is, in theory, a inverse g
TAG : algorithm
Date : November 23 2020, 01:01 AM , By : user2957317
Number of Triangles Containing The Point (0,0)
Number of Triangles Containing The Point (0,0)
To fix this issue Let there be a triangle with 3 points p1=(x_1,y_1),p2=(x_2,y_2) and p3=(x_3,y_3). Let p1,p2,p3 be the position vectors.If origin lies within, then cross product of any one position vector with other two will be different in sign ( o
TAG : algorithm
Date : November 22 2020, 10:38 AM , By : Anchorer
Finding a maximal sorted subsequence
Finding a maximal sorted subsequence
To fix the issue you can do Assume that we're given a set of pairs S={(x_1,y_1),...,(x_n,y_n)} of integers. What is the most efficient way of computing a maximal sequence of elements (a_1,b_1),...,(a_m,b_m) in S with the property that , Yes, it is po
TAG : algorithm
Date : November 22 2020, 01:01 AM , By : user2954353
Merging Binary search tree
Merging Binary search tree
hope this fix your issue If the trees are not balanced, or the result shouldn't be balanced that's quite easy:
TAG : algorithm
Date : November 19 2020, 01:01 AM , By : user2952739
Travel the checkerboard from top left to bottom right with lowest cost
Travel the checkerboard from top left to bottom right with lowest cost
Hope this helps The following algorithm can be used provided that every cost is >= 0
TAG : algorithm
Date : November 18 2020, 11:13 AM , By : user2951577
Dynamic Programming solving an algorithm
Dynamic Programming solving an algorithm
To fix the issue you can do Your task is similiar to fibonnaci :) First i will explain you fibonacci.F(1) = 1
TAG : algorithm
Date : November 17 2020, 11:55 AM , By : NBStudios
How can a heap be used to optimizie Prim's minimum spanning tree algorithm?
How can a heap be used to optimizie Prim's minimum spanning tree algorithm?
I hope this helps . It is possible to solve this problem efficiently(in O(n log n) time), but it is not that easy. Just using the Prim's algorithm with a heap does not help(it actually makes it even slower), because its time complexity is O(E log V),
TAG : algorithm
Date : November 17 2020, 04:28 AM , By : paurinaasg
Partitioning an array into 3 sets
Partitioning an array into 3 sets
Does that help here is brute-force java solution you can use, note - complexity of this solution is O(3^N), which is very very slow
TAG : algorithm
Date : November 17 2020, 04:28 AM , By : user2949819
Confusion about the combine step in Merge Sort Code
Confusion about the combine step in Merge Sort Code
I wish this help you When the two recursive sort routines return, you can safely assume that they have sorted their parts. The merge step combines these two sorted sub arrays. If the input is 3 5 1 8 2, the first recursive call sorts the first half a
TAG : algorithm
Date : November 17 2020, 01:00 AM , By : user2949374
Efficient way to look up dictionary
Efficient way to look up dictionary
I wish this helpful for you It really depends on how large your document is, whether your keyword list is static, and whether you need to find multi-word phrases. The naive way to do it is to look up every word from the document in the dictionary. Be
TAG : algorithm
Date : November 14 2020, 04:48 PM , By : Tuấn Tưng Tửng
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