Homework Answers
C1 and C2 are constant time take for operations like comparisons and modulo operations.
we get 2 recurrence relations,one for odd and one for even.
Time taken for even case and odd case is almost same.You can solve any one of the equation to get the upper bound of the function.
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Compute the recurrence relation, T(n), for the following function, solve it, and give a e bound....
Solve the recurrence relation T(n)=T(n1/2)+1 and give a Θ bound. Assume that T (n) is constant for sufficiently small n....
Solve the recurrence relation T(n)=T(n1/2)+1 and give a Θ bound. Assume that T (n) is constant for sufficiently small n. Can you show a verification of the recurrence relation? I've not been able to solve the verification part so far note: n1/2 is square root(n)
Given these methods: METHOD math1: public int math1( int n ) { if (n <= 1) { return 1; } // if...
Given these methods: METHOD math1: public int math1( int n ) { if (n <= 1) { return 1; } // if else { return ( n * 2 ) + math1( n-1 ); } // else } // math1 METHOD math2: public int math2( int n ) { if (n <= 1) { return 1; } // if else { return n + math1( n ) * math2( n/2 ); } // else } // math2 (a) Set up...
Solve the recurrence relation T(n) = 2T(n / 2) + 3n where T(1) = 1 and...
Solve the recurrence relation T(n) = 2T(n / 2) + 3n where T(1) = 1 and k n = 2 for a nonnegative integer k. Your answer should be a precise function of n in closed form. An asymptotic answer is not acceptable. Justify your solution.
From the code below with Binary Search Tree recurrence T(n)=? use the recursion method and substitution method to solve the recurrence. Find the tightest bound g(n) for T(n) you can for which T(n)= O(...
From the code below with Binary Search Tree recurrence T(n)=?
use the recursion method and substitution method to solve the
recurrence. Find the tightest bound g(n) for T(n) you can for which
T(n)= O(g(n)). Explain your answer and use recursion tree
method.
void insert(int data) {
struct node *tempNode = (struct node*) malloc(sizeof(struct node));
struct node *current;
struct node *parent;
tempNode->data = data;
tempNode->leftChild = NULL;
tempNode->rightChild = NULL;
//if tree is empty
if(root == NULL) {
root = tempNode;...
1. Solve the recurrence relation T(n) = 2T(n/2) + n, T(1) = 1 and prove your...
1. Solve the recurrence relation T(n) = 2T(n/2) + n, T(1) = 1 and prove your result is correct by induction. What is the order of growth? 2. I will give you a shortcut for solving recurrence relations like the previous problem called the Master Theorem. Suppose T(n) = aT(n/b) + f(n) where f(n) = Θ(n d ) with d≥0. Then T(n) is: • Θ(n d ) if a < bd • Θ(n d lg n) if a = b...
2.5. Solve the following recurrence relations and give a Θ bound for each of them. (e)...
2.5. Solve the following recurrence relations and give a Θ bound
for each of them.
(e) T(n) 8T(n/2) n (f) T(n) = 49T(n/25) + n3/2 log n (g) T(n) = T(n-1) + 2 (h) T(n) T(n 1)ne, where c 21 is a constant (i) T(n) = T(n-1) + c", where c > 1 is some constant (j) T(n) = 2T(n-1) + 1 (k) T(n) T(vn) +1
3. Determine the asymptotic complexity of the function defined by the recurrence relation. Justify your solution...
3. Determine the asymptotic complexity of the function defined by the recurrence relation. Justify your solution using expansion/substitution and upper and/or lower bounds, when necessary. You may not use the Master Theorem as justification of your answer. Simplify and express your answer as O(n*) or O(nk log2 n) whenever possible. If the algorithm is exponential just give exponential lower bounds c) T(n) T(n-4) cn, T(0) c' d) T(n) 3T(n/3) c, T() c' e) T(n) T(n-1)T(n-4)clog2n, T(0) c'
3. Determine the...
*algorithm analysis and design* Solve the following recurrence relation T(n) = Tỉn/2) + 1 Using: 1-Recurrence...
*algorithm analysis and design*
Solve the following recurrence relation T(n) = Tỉn/2) + 1 Using: 1-Recurrence Tree. 2-Master Therom.
Algorithm Question: Problem 3. Solve the recurrence relation T(n) = 2T(n/2) + lg n, T(1) 0.
Algorithm Question:
Problem 3. Solve the recurrence relation T(n) = 2T(n/2) + lg n, T(1) 0.
Use the Frobenius method to solve: xy"-2y'+y "=0 . Find index r and recurrence relation. Compute...
Use the Frobenius method to solve: xy"-2y'+y "=0 . Find index r
and recurrence relation. Compute the first 5 terms a0 −
a4 using the recurrence relation for each solution and
index r.
4 Use the Frobenius method to solve: xy"-2y + y =0. Find index r and recurrence relation. Compute the first 5 terms (a, - a.) using the recurrence relation for each solution and index r.
From the code below with Binary Search Tree recurrence T(n)=?
use the recursion method and substitution method to solve the
recurrence. Find the tightest bound g(n) for T(n) you can for which
T(n)= O(g(n)). Explain your answer and use recursion tree
method.
void insert(int data) {
struct node *tempNode = (struct node*) malloc(sizeof(struct node));
struct node *current;
struct node *parent;
tempNode->data = data;
tempNode->leftChild = NULL;
tempNode->rightChild = NULL;
//if tree is empty
if(root == NULL) {
root = tempNode;...
2.5. Solve the following recurrence relations and give a Θ bound
for each of them.
(e) T(n) 8T(n/2) n (f) T(n) = 49T(n/25) + n3/2 log n (g) T(n) = T(n-1) + 2 (h) T(n) T(n 1)ne, where c 21 is a constant (i) T(n) = T(n-1) + c", where c > 1 is some constant (j) T(n) = 2T(n-1) + 1 (k) T(n) T(vn) +1
3. Determine the asymptotic complexity of the function defined by the recurrence relation. Justify your solution using expansion/substitution and upper and/or lower bounds, when necessary. You may not use the Master Theorem as justification of your answer. Simplify and express your answer as O(n*) or O(nk log2 n) whenever possible. If the algorithm is exponential just give exponential lower bounds c) T(n) T(n-4) cn, T(0) c' d) T(n) 3T(n/3) c, T() c' e) T(n) T(n-1)T(n-4)clog2n, T(0) c'
3. Determine the...
*algorithm analysis and design*
Solve the following recurrence relation T(n) = Tỉn/2) + 1 Using: 1-Recurrence Tree. 2-Master Therom.
Algorithm Question:
Problem 3. Solve the recurrence relation T(n) = 2T(n/2) + lg n, T(1) 0.
Use the Frobenius method to solve: xy"-2y'+y "=0 . Find index r
and recurrence relation. Compute the first 5 terms a0 −
a4 using the recurrence relation for each solution and
index r.
4 Use the Frobenius method to solve: xy"-2y + y =0. Find index r and recurrence relation. Compute the first 5 terms (a, - a.) using the recurrence relation for each solution and index r.
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