parallel programming: Prove that there cannot be a deadlock if resources are linearly ordered and processes always acquire them in order.
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Prove that there cannot be a deadlock if resources are linearly ordered and processes always acquire them in order.
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- Explain the procedure that allows all the processes to get their resource allocation for the following graphDo the following problems:(a) Convert it to the matrix representation (i.e., Allocation, Request and Available).(b) Do a step-by-step execution of the deadlock detection algorithm. For each step, add and remove the directed edges, and redraw the resource allocation graph.(c) Is there a deadlock? If there is a deadlock, which processes are involved?The problem states that there are five philosophers sitting around a circular table. The philosophers must alternatively think and eat. Each philosopher has a bowl of food in front of them, and they require a fork in each hand to eat. However, there are only five forks available. You need to design a solution where each philosopher can eat their food without causing a deadlock.
- Consider a scheduling problem, where there are five activities to be scheduled in four time slots. Suppose we represent the activities by the variables A, B, C, D, and E, where the domain of each variable is {1, 2, 3, 4} and the constraints are A > D, D > E, C ̸= A, C > E, C ̸= D, B ≥ A, B ̸= C, and C ̸= D + 1. Show how backtracking solves this problem. To do this, you should draw the searchtree generated to find all answers. Indicate clearly the valid schedule(s) aka solution(s).Make sure you choose a reasonable variable (and value) ordering if needed, and mention them explicitly.Solutions to a dynamic programming problem have (at minimum) three things: – A recurrence relation – A brief description of what your recurrence function represents and what each case represents. – A brief description of the memory element/storage and how it’s filled in. – Always give complete solutions, not just examples.– Always declare all your variables, in English. In particular, always describe the specific - problem your algorithm is supposed to solve. – Never use weak induction.Consider a state space where the start state is number 1 and each state k has two successors: numbers 2k and 2k + 1. Draw the portion of the state space for states 1 to 15. Suppose the goal state is 11. List the order in which nodes will be visited for iterative deepening search.
- can you please help me understand how resource allocation graph algorithm becomes a deadlock avoidance? no handwritten answers please, no one worded, one phrased, or one sentenced answers too pleaseAssume a generic recursive relation is defined as : A[i] = p*A[i-1] + q where p and q are coefficients of the relation. Write a function that takes the first three numbers in this relation as a list, such as [A[0], A[1], A[2]] and computes p and q, and returns A[3]. For example, given [1,3,5] your function should return 7, because the numbers 1,3,5 are produced by the series: A[i] = A[i-1] + 2 where p is 1 and q is 2, and then the next number in the series becomes 7. You can assume that p and q are always integers. You can also assume that p and q are determinable in any test case. PhytonAssume a generic recursive relation is defined as : A[i] = p*A[i-1] + q where p and q are coefficients of the relation. Write a function that takes the first three numbers in this relation as a list, such as [A[0], A[1], A[2]] and computes p and q, and returns A[3]. For example, given [1,3,5] your function should return 7, because the numbers 1,3,5 are produced by the series: A[i] = A[i-1] + 2 where p is 1 and q is 2, and then the next number in the series becomes 7. You can assume that p and q are always integers. You can also assume that p and q are determinable in any test case. """ def recursionSolver(values): return # Remove this line to answer this question.
- Assume a generic recursive relation is defined as :A[i] = p*A[i-1] + qwhere p and q are coefficients of the relation. Write a function that takes the first three numbers in this relation as a list,such as [A[0], A[1], A[2]]and computes p and q, and returns A[3]. For example, given [1,3,5] your function should return 7, because the numbers 1,3,5 are produced by the series:A[i] = A[i-1] + 2where p is 1 and q is 2, and then the next number in the series becomes 7. You can assume that p and q are always integers. You can also assume that p and q are determinable in any test case.""" def recursionSolver(values):return # Remove this line to answer this question. İn python.Answer the given question with a proper explanation and step-by-step solution. You are asked to pick up a project on building highways to connect all cities in the country. The cost of building a highway between two cites i and j is c(i, j) > 0. If you were in charge from the beginning, this would have been a minimum spanning tree problem and could be solve easily with the algorithms covered in class. Since you pick it up halfway, however, some suboptimal choices have already been made by your predecessor. In other words, highways were already built between some pairs of cities. Design an algorithm to find a cost minimizing set of highways to built subject to the choices already made. Do not copy others.If the problem can be addressed by devising optimal subproblem solutions, it has the attribute. Memory, greedy subproblems, overlapping subproblems