An infinite sequence is defined as follows: A₁ = 1, i ≤ 0, Ai = A[i/p] -x+ A[i/q]-y, i ≥ 1 Find the value of An. Solve the problem for n = 10000000000000, p = 2, q = 2, x = 123, y = 1234566
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![An infinite sequence is defined as follows:
A₁ = 1, i ≤ 0,
Ai = A[i/p] -x+ A[i/q]_y, i ≥ 1
Find the value of An. Solve the problem for n = 10000000000000, p = 2, q = 2, x = 123, y = 1234566](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F539731a7-40ac-449f-affb-c6462b1c4f0e%2Fcaa7406b-3648-4326-a9a0-1d0efded9e62%2Frbx9qbf_processed.png&w=3840&q=75)
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- The algorithm of Euclid computes the greatest common divisor (GCD) of two integer numbers a and b. The following pseudo-code is the original version of this algorithm. Algorithm Euclid(a,b)Require: a, b ≥ 0Ensure: a = GCD(a, b) while b ̸= 0 do t ← b b ← a mod b a ← tend whilereturn a We want to estimate its worst case running time using the big-Oh notation. Answer the following questions: a. Let x be a integer stored on n bits. How many bits will you need to store x/2? b. We note that if a ≥ b, then a mod b < a/2. Assume the values of the input integers a and b are encoded on n bits. How many bits will be used to store the values of a and b at the next iteration of the While loop? c. Deduce from this observation, the maximal number iterations of the While loop the algorithm will do.The travel time function of an algorithm has the form: f(n) = 3n^2+4n+8.a. Determine the values of c and n0, so that big-oh O(n^2) satisfies the rule f(n) <= cg(n); n≥n0,b. Show (picture) the graphs of f(n) and g(n).Consider the problem of making change for n cents using the fewest number of coins. Assume that we live in a country where coins come in k dierent denominations c1, c2, . . . , ck, such that the coin values are positive integers, k ≥ 1, and c1 = 1, i.e., there are pennies, so there is a solution for every value of n. For example, in case of the US coins, k = 4, c1 = 1, c2 = 5, c3 = 10, c4 = 25, i.e., there are pennies, nickels, dimes, and quarters. To give optimal change in the US for n cents, it is sufficient to pick as many quarters as possible, then as many dimes as possible, then as many nickels as possible, and nally give the rest in pennies. Design a bottom-up (non-recursive) O(nk)-time algorithm that makes change for any set of k different coin denominations. Write down the pseudocode and analyze its running time. Argue why your choice of the array and the order in which you fill in the values is the correct one. Notice how it is a lot easier to analyze the running time of…
- Consider the problem of making change for n cents using the fewest number of coins. Assume that we live in a country where coins come in k dierent denominations c1, c2, . . . , ck, such that the coin values are positive integers, k ≥ 1, and c1 = 1, i.e., there are pennies, so there is a solution for every value of n. For example, in case of the US coins, k = 4, c1 = 1, c2 = 5, c3 = 10, c4 = 25, i.e., there are pennies, nickels, dimes, and quarters. To give optimal change in the US for n cents, it is sufficient to pick as many quarters as possible, then as many dimes as possible, then as many nickels as possible, and nally give the rest in pennies. Design a bottom-up (non-recursive) O(nk)-time algorithm that makes change for any set of k different coin denominations. Write down the pseudocode and analyze its running time. Argue why your choice of the array and the order in which you ll in the values is the correct one.Consider the problem of making change for n cents using the fewest number of coins. Assume that we live in a country where coins come in k dierent denominations c1, c2, . . . , ck, such that the coin values are positive integers, k ≥ 1, and c1 = 1, i.e., there are pennies, so there is a solution for every value of n. For example, in case of the US coins, k = 4, c1 = 1, c2 = 5, c3 = 10, c4 = 25, i.e., there are pennies, nickels, dimes, and quarters. To give optimal change in the US for n cents, it is sufficient to pick as many quarters as possible, then as many dimes as possible, then as many nickels as possible, and nally give the rest in pennies. Prove that the coin changing problem exhibits optimal substructure. Design a recursive backtracking (brute-force) algorithm that returns the minimum number of coins needed to make change for n cents for any set of k different coin denominations. Write down the pseudocode and prove that your algorithm is correct.PLEASE HELP ME. kindly show all your work 1. Prove that∀k ∈ N, 1k + 2k + · · · + nk ∈ Θ(nk+1). 2. Suppose that the functions f1, f2, g1, g2 : N → R≥0 are such that f1 ∈ Θ(g1) and f2 ∈ Θ(g2).Prove that (f1 + f2) ∈ Θ(max{g1, g2}). Here (f1 + f2)(n) = f1(n) + f2(n) and max{g1, g2}(n) = max{g1(n), g2(n)}. 3. Let n ∈ N \ {0}. Describe the largest set of values n for which you think 2n < n!. Use induction toprove that your description is correct.Here m! stands for m factorial, the product of first m positive integers. 4. Prove that log2 n! ∈ O(n log2 n). Thank you. But please show all work and all steps
- Suppose that an algorithm has runtime 20 n3 for n <= 100. For n>100, the slowest cases for each n take time 2 n2 log n. The fastest cases for each n take time 10 n2. That is, for n>100, runtime is between 10 n2 and 2 n2 log n. Which of the following are known to be true of the worst-case runtime for the algorithm? (Check all that apply, which may be more than one in a row.) O( n2 ) O( n2 log n ) O( n3 ) None of these Ω( n2 ) Ω( n2 log n ) Ω( n3 ) None of these Θ( n2 ) Θ( n2 log n ) Θ( n3 ) None of these Which of the following are known to be true of the average-case runtime? O( n2 ) O( n2 log n ) O( n3 ) None of these Ω( n2 ) Ω( n2 log n ) Ω( n3 ) None of these Θ( n2 ) Θ( n2 log n ) Θ( n3 ) None of these [Each row must have at least one answer checked.] ComposeA cyclic permutation is a circular shift. For example, cdefgab is a cyclic permutation of abcdefg. The cyclic permutation problem is as follows. Input: two strings x and y, both of length n. Question: Is y a cyclic permutation of x? Describe a linear (O(n)) time algorithm for the cyclic permutation problemCorrect answer will be upvoted else downvoted. Computer science. Allow us to signify by d(n) the amount of all divisors of the number n, for example d(n)=∑k|nk. For instance, d(1)=1, d(4)=1+2+4=7, d(6)=1+2+3+6=12. For a given number c, track down the base n to such an extent that d(n)=c. Input The principal line contains one integer t (1≤t≤104). Then, at that point, t experiments follow. Each experiment is characterized by one integer c (1≤c≤107). Output For each experiment, output: "- 1" in case there is no such n that d(n)=c; n, in any case.
- The given time complexity is: m T(m-1) + ca > 1 cb = 0 expanding using substitution: m T(m-1) + ca m[(m-1) T(m-2) + ca]+ ca m(m-1) T(m-2) + mca + ca m(m-1) [(m-2) T(m-3) + ca] + mca + ca m(m-1)(m-2) T(m-3) + m(m-1)ca + mca + ca what is the time complexity? form an expression for adding all the caGive an example of a function f(n) such that f(n) ∈ O(n √ n) and f(n) ∈ Ω(n log n)) but f(n) ∈/ Θ(n √ n) and f(n) ∈/ Θ(n log n)). 2. Prove that if f(n) ∈ O(g(n)) and f(n) ∈ O(h(n)), then f(n) ^2 ∈ O(g(n) × h(n)). 3. By using the definition of Θ prove that 4√ 7n^3 − 6n^2 + 5n − 3 ∈ Θ(n 1.5 )Fermat's "Little" Theorem states that whenever n is prime and a is an integer, a^n−1≡1modn Then 281825≡ 263 mod827. c) If a=146 and n=331, then efficiently compute 146332≡ mod331Use The Extended Euclidean Algorithm to compute281^1≡362 mod827. Then 281^825≡???mod827. c) If a=146 and n=331, then efficiently compute146^332≡ ???mod331