1.3 Define what Big-O notation is and explain its role in evaluating efficiencies of algorithms. Critically evaluate the implemented algorithms efficiencies using Big-O notation (Report).
Q: Question 1. Efficiency Analysis of Non-Recursive Algorithms CLO 2.1: PLO S1: 50 2 Consider the…
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Q: SumDouble.java 1 /** 2 3 4 5 "/ 6 public class SumDouble 7 { 8 9 10 BHABHEKASSEN222222 11 12 13 14…
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Q: e given functions by their asymptotic )ifi≤j.
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A: The question has been answered in step2
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A: I have answered the question in step 2.
Q: Algorithm 18.6: (P₁, 1st, cnt) agaDivide (Pold, d)
A: algorithm for given function step by step given in next step
Q: Do Left Factoring to the production above! b. Continue to eliminate forms of Left Recursion!
A: a. Doing Left Factoring X → Pc | Pd | XZ | Qp | Qop P → aB Q → Z Y → cX | dY | YY Z → a | b
Q: Compute the computational complexity of the following code snippets (in “Big-O” notation): (a) for…
A: Please refer to the following step for the complete solution to the problem above.
Q: a) AlgorithmX(n) 1. xfl 2. for i 1 to n² 3. x←max(x,i) 4. for j1 to n² 5. x←max(x.j) 6. return x b)…
A: a) Answer: The Big O analysis for the given code snippet is O(n^2), which means that the time…
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A: The recursively sequence defined as follows:given the two instructions in mathematical language. =…
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A: As the time complexity of insertion time is O (n) the option may not be the correct answer.
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A: Consider the given Series :
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A: here have to determent about space complexity and time complexity of given problem.
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Q: answer
A: Let see the solution:
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A:
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A: 2 question answer
Q: i. E → int | int + E|int – E | E – (E) A → A +B|B В — int | (4) ii.
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A: Let's understand step by step : Big - O Notation : Here f(n) = O(g(n)) f(n) is order of g(n) if…
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Q: 2. The function f is defined for non-negative integers a and b recursively as follows: f (a, b) ={…
A:
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- Count the balls off the brass monkey def pyramid_blocks(n, m, h): Mysteries of the pyramids have fascinated humanity through the ages. Instead of packing your machete and pith helmet to trek through deserts and jungles to raid the hidden treasures of the ancients like Indiana Croft, or by gaining visions of enlightenment by intensely meditating under the apex set over a square base like Deepak Veidt, this problem deals with truncated brass monkeys of layers of discrete uniform spheres, in spirit of that spherical cow running in a vacuum. Given that the top layer of the truncated brass monkey consists of n rows and m columns of spheres, and each solid layer immediately below the one above it always contains one more row and one more column, how many spheres in total make up this truncated brass monkey that has h layers?This problem could be solved in a straightforward brute force fashion by mechanistically tallying up the spheres through these layers. However, the fair and just reward…Please help me answer the following question.Your post is appropriate and correct, except for one statement which is inconsistent: "The space complexity is O(n), no extra space us needed. " O(n) contradicts no extra space. Please clarify. Class, As interaction contribution, you may try to answer the following question: Q: Indeed, the complexity is Theta(n^2) . However, there is a difference in number of operations. While comparisons are n^2 always (all cases), the number of assignments is different (having cases). Try to discuss the cases from assignments perspective. ------------------------------------------------------------------------------------------------------*** Context: ***In the Selection Sort algorithm, we first find the smallest element and bring it to the array position 0.Next, we bring the second smallest element and put it in the position 1...etc. By the ith iteration, the with smallest element comes at the ith position. We will need (n-1) iterations in total. When…Code: num:=1; while(num=0) { |} num=num+1; Refer to the code given above, identify what is the computational problem of this code and explain in detail based on your understanding of complexity theory.
- Write a JAVA program to simulate page replacement algorithmsa) Optimal Write a JAVA program to simulate producer-consumer problem using semaphores. Write a JAVA program to simulate the concept of Dining-Philosophers problem.Q20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 40} B = {-7, -6, -5, ..., 30} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set() for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the array print(n) What value is printed as a result of executing this algorithm?Complete the following analysis of an algorithm such that the time complexity, T(n), of the given algorithm is determined. The analysis uses instruction count (i.e. number of times the statement is executed) as the measure for the analysis. The instruction count of each instruction in the algorithm is indicated at the right of the statement after the //. You should replace each of the question marks(?) by the corresponding instruction count in order to complete the analysis. The total instruction count is obtained by adding all the instruction counts. Note that in this exercise, the binary search algorithm is analyzed in a case where the item to be searched is assumed to be NOT found in the sorted array (i.e. Worst Case Analysis). // Worst Case Analysis (e.g., item not in array)int binarySearch(item, sortedArray) { // Instruction Countint low = 0; // 1int high = sortedArray.length - 1; // 1int mid = 0; // 1while (low <= high) { // ≈ log(n) + 1mid = (low + high) / 2; // ≈ log(n)if…
- Question 3 Q20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 45}B = {-7, -6, -5, ..., 29} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm?Q20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 46}B = {-7, -6, -5, ..., 27} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm?Count the balls off the brass monkey def pyramid_blocks(n, m, h): Mysteries of the pyramids have fascinated humanity through the ages. Instead of packing your machete and pith helmet to trek through deserts and jungles to raid the hidden treasures of the ancients like Indiana Croft, or by gaining visions of enlightenment by intensely meditating under the apex set over a square base like Deepak Veidt, this problem deals with truncated brass monkeys of layers of discrete uniform spheres, in spirit of that spherical cow running in a vacuum. Given that the top layer of the truncated brass monkey consists of n rows and m columns of spheres, and each solid layer immediately below the one above it always contains one more row and one more column, how many spheres in total make up this truncated brass monkey that has h layers? This problem could be solved in a straightforward brute force fashion by mechanistically tallying up the spheres through these layers. However, the fair and just…
- Multithreading is more common than having a large number of processes running at the same time. Explain?20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 45}B = {-7, -6, -5, ..., 27} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm?Data structures. Using Java code, declare any objects that your algorithm allocates. Comment each variable and specify how much memory it consumes in the worst case. You may use any of the libraries that we have considered in this course (either algs4.jar or java.util versions). Here is an illustrative example of the expected format: // the missing string to return // Theta(k) memory StringBuilder missing; Algorithm. Describe you algorithm, using either English prose or Java code (or a combination of the two).