Hoping someone can give me some pointers with this entropy problem. Say X is chosen randomly from the uniform integer distribution 0-32 (inclusive).
I\'ve got the following recursion: T(n) = T(n/3) + T(2n/3) + O(n) The height of the tree would be log3/2 of 2.Now the recursion tree for this recurrence is not a complete binary tree.It has missing
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I\'m reviewing some old notes from my algorithms course and the dynami开发者_开发知识库c programming problems are seeming a bit tricky to me.I have a problem where we have an unlimited supply of coins
I am learning about recursion tree\'s and trying to figure out how the height of the tree is log b of n where n = 2 and one has 10 elements as input size. I am working with Merge sort.
Knowing that we can use Divide-and-Conquer algorithm to compute large exponents, for example 2 exp 100 = 2 exp(50) * 2 exp(50), which is quite more efficient, is this method efficient using roots? For
I\'m reviewing my old algorithms notes and have come across this proof.It was from an assignment I had and I got it correct, but I feel that the proof certainly lacks.
I have a set of intege开发者_如何学Crs. I want to find the longest increasing subsequence of that set using dynamic programming.OK, I will describe first the simplest solution which is O(N^2), where N
I\'m currently a senior in high school, about to matriculate and pursue a major in Computer Science (possibly dual-major with electrical engineering. Comments?). I already program regularly as a hobby
As the question s开发者_如何学Pythontates, does the integer-factorization problem fall into the class of NP-Complete problems?Factoring:
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