Given two strings A and B and the following operations can be performed on A. Find a minimum numberof operations required to make A and B equal. (Please Design a dynamic programming algorithmthat can use the following operations to make A equals to B and analyze the complexity. Assume the sizeof the string is n.). When designing the dynamic programming algorithm, please describe the size anddimensionality of the dynamic programming table, and explicitly formulate the recurrence relationship.1. Insert2. Delete3. Replace

The objective of the question is to design a dynamic programming algorithm to find the minimum…

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Given two strings A and B and the following operations can be performed on A. Find a minimum number of operations required to make A and B equal. (Please Design a dynamic programming algorithm that can use the following operations to make A equals to B and analyze the complexity. Assume the size of the string is n.). When designing the dynamic programming algorithm, please describe the size and dimensionality of the dynamic programming table, and explicitly formulate the recurrence relationship. 1. Insert 2. Delete 3. Replace
Dynamic Programming "Tower of Babylon": 1. Find the height of the tallest tower using 2 blocks with the following sizes: [20, 29, 29] and [42, 38, 42] 2. Explain the time complexity of the dynamic programming for this problem. (Need to show the complexity for the main steps.)
You, Alice and Bob are working on recursive search algorithms and have been studying a variant of binary search called trinary search. Alice has created the following pseudocode for this algorithm: TSearch (A[a...b], t) If a b return -1 Let p1= a + Floor ((b-a)/3) If A[p1] t return pl If A[p1]> t return TSearch (A [a...p1-1],t) Let p2= a + Ceiling (2(b a)/3) If A [p2] t return p2 = If A [p2] > t return TSearch (A [p1+1...p2-1],t) Return TSearch (A [p2+1...b],t) EndTSearch JL 17
1. Suppose you are responsible for organizing and determining the results of an election. An election has a winner if one person gets at least half of the votes. For an election with n voters and k candidates, design a divide and conquer algorithm to determine if the election has a winner and finds that winner. Your algorithm should run in O(nlogn) and is allowed to use 0(1) extra memory.
Assume the following scoring matrix. A T C G - A 1 -1 -1 -2 -1 T 1 -1 -1 -1 C 2 -1 -1 G 1 -1 Fill out the dynamic programming table for the global alignment between sequences v = TAGCTCCG and w = GCATCCA using the scoring matrix above. Use the following recursive scoring formula. w= G C A T C C A 0 1 2 3 4 5 6 7 v= 0 T 1 A 2 G 3 C 4 T 5 C 6 C 7 G 8 What is the score and global alignment between v and w?
big o notation time complexity for question 4 & 5
Refer to image and show example of output!
Exercise 10 (This is the rod cutting problem from Section 15.1 in the textbook.) Design a dynamic programming algorithm for the following problem. A rod has length n and a segment of length i costs p[i] dollars. The costs p[i] are known for all i = 1,..., n. The problem is to determine what is the maximum revenue a company can obtain by cutting the rod and selling the segments obtained after the cutting. For the dynamic programming solution, we define the subproblems r[i] =max revenue by cutting a rod of length i. (a) How much is r[0]? (b) Give a recurrence formula that calculates r[i] as a function of r[j], for j
Questions: PLease answer all and for 2a write pseudocode not explanantion. (a) Write pseudocode following the above intuition. (b) Determine the worst-case asymptotic run time of this algorithm and explain why this is the worst case. (c) Assume that the sizes of L and R are equal at each step of the algorithm. Find a recurrence relation describing the run time in this case. (d) Given this recurrence relation, what is the asymptotic run time of the algorithm? Be sure to justify your answer using the master theorem.
please send handwritten solution for part 2 complete ! \ Discrete Math recursive problem. The textbook the question is referencing is from Discrete Mathematics with Applications by Susan Epp, 5th Edition
big O notation time complexity any of the following
Computer Applications in Analysis Homework 4 – Roots You will submit: (i) the source code (.m file), (ii) the screenshots that show the output. Solve the task 5.19 from the textbook: Mechanical engineers, as well as most other engineers, use thermodynamics extensively in their work. The following polynomial can be used to relate the zero-pressure specific heat of dry air C, kJ/(kg K) to temperature (K): C, = 0.99403 + 1.671 * 10-4 * T + 9.7215 * 10-8 * T2 – 9.5838 * 10-11 * T3 + 1.9520 * 10-14 * T4 Develop a plot of C, versus a range of T = 0 to 1200 K, and then use bisection to determine the temperature that corresponds to a specific heat of 1.1 kJ/(kg K).

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