java problem!
Show step! and explain!
![Question 5 [10 marks] 3.2.24 Prove that no compare-based algorithm can build a BST using fewer than lg(N N lg N compares.](http://img.homeworklib.com/questions/be5950a0-4558-11eb-932b-ff7a3059b20f.png?x-oss-process=image/resize,w_560)
Assume that the comparison based algorithm is represented as A.
.Proof of the complexity is explained below:
By combining all the information together, the following is obtained:
n! <= Count of the leaves of the decision tree
<= 2height of the decision tree
<= 2CA(n)
Therefore,
CA(n) >= lg(n!) =
Use the following, to obtain the inequality:
nn/2 <= n! <= nn
The above implies the following:
lg n! >= lg(nn/2)
= (n/2) lg n
=
Hence, the complexity of the comparison based algorithm
is no longer than
.
java problem! Show step! and explain! Prove that no compare-based algorithm can build a BST using...
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Using sorting as an algorithm solving specific problem and compare their method of solving it and performances’ tradeoffs in terms of its time complexity. compare its performance using different approaches (three approaches) such as (divide and conquer, dynamic programming, brute force, greedy approach ). show which approach solve the problem best. Use sorting as an example and compare .
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I need help with my discrete math problem. can you
show me step by step process . Thanks in advance
3. Give a big-O estimate and a pair of witnesses for the number additions used in this segment of an algorithm. t:= 0 for i:=1 ton for j := 1 to n-i t:=t+i+j
can someone show me how todo this problem step by step
and explain? im lost. ive also attached the answers from the back
of the book. there has to be a way where i dont have to use coding
i.e. matlab in order to solve this problem
please show by using the following version of induction:
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Dijkstra's Algorithm
Using the following graph, please answer each question below.
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***** Can you please show, explain how the problem was solved for each step****** Suppose that we wish to expand (x + y + z)17. What is the coefficient of x3y4z10 ?
4.11.3
P4.11.3 Prove the claim at the end of the section about the Euclidean Algorithm and Fibonaci numbers. Specifically, prove that if positive naturals a and b are each at most F(n), then the Euclidean Algorithm performs at most n -2 divisions. (You may assume that n >2) P4.11.4 Suppose we want to lay out a full undirected binary tree on an integrated circuit chip, wi 4.11.3 The Speed of the Euclidean Algorithm Here is a final problem from number...