Let {a1,a2,...,ak} be a set of activities, where, a1 has the largest (latest) start time.
Prove there is an optimal solution to the activity selection problem that contains a1.
As per your requirement the below one is solution please follow it
For the activity selection problem the algorithm is
I) Sort the activities by their finishing time.(if finish time same so choose one smallest start time).
II) Pick up th first activity and include it
III) For all remaining activity check the start time of new activity from the finish time of current activity. If start time is greater or equal to finish time of current include the activity and change the current start time and finish time
to this activity.
a1 largest start time.
Case 1: If finish time of other activitiy/es is smaller than a1 start time both a1 and that activity is included.
Case 2 : If finish time of other activity/es is greater than a1 finish time then a1 is included( that activity excluded) since next activity to be included start time of new activity compared to current finish time
and new activity becomes current.
Let {a1,a2,...,ak} be a set of activities, where, a1 has the largest (latest) start time. Prove...
Let A1, A2, ...An Prove : P(Un k=1 Ak) = P9A1) + P(A1c
......
Problem 4.Let A1, A2, . . . , An be events. Prove
Activity D is the immediate predecessor of activities K and M. If the latest start time of K is at the end of day 99 and the latest start time of M is at the end of day 106, the latest finish time of D should be at the end of day
(a) Let R be a commutative ring. Given a finite subset {ai, a2, , an} of R, con- sider the set {rial + r202 + . . . + rnan I ri, r2, . . . , rn є R), which we denote by 〈a1, a2 , . . . , Prove that 〈a1, a2, . . . , an〉 įs an ideal of R. (If an ideal 1 = 〈a1, аг, . . . , an) for some a,...
Let
A = ( a1 0 ... 0
0 a2 ... 0
... ... ...
0 0 an)
be an n * n matrix, where a1, a2, . . . , an are
nonzero real numbers.
(a) Find the general solution to the system of equations ->
->
x' = A * x
(b) Solve the initial value problem x1(0) =
x2(0) = · · · = xn(0) = k, for some constant
k.
(c) Solve the initial value problem
(x1(0) x2(0)...
Let s = {k=1CkXAz be a simple function, where {A1, A2, ... , An} are disjoint. Prove that for every p>0, |CK|PXAR
Consider the following set of activities: Time Predecessor Activity Required Activities A 5 None B 4 A C 5 B D 8 B E 9 C F 6 C,D G 8 D H 3 E,F,G a. Draw the CPM network for this problem. b. Calculate and summarize the earliest and latest start and finish times, the slack for each activity, and the critical activities. c. What is the earliest time that the project can be completed? d. If the project needed to be completed...
Consider the following variation on the Activity Selection Problem.You have a resource that may be used for activities 24 hours a day,ever day.Activities repeat that may be used for activities repeat on a daily basis. As in the original problem, each activity has a start time and as end time.If an activity is selected, it will exclusively use the resource during the duration between the start and end time(i.e., no other activity may be scheduled during this time). Note that...
You are given a set of integer numbers A = {a1, a2, ..., an}, where 1 ≤ ai ≤ m for all 1 ≤ i ≤ n and for a given positive integer m. Give an algorithm which determines whether you can represent a given positive integer k ≤ nm as a sum of some numbers from A, if each number from A can be used at most once. Your algorithm must have O(nk) time complexity.
Instead of always selecting the first activity to finish, select the last activity to start that is compatible with all previously selected activities. Accomplish this by implementing a greedy algorithm in either Python or C++. This is similar to a first-to-start algorithm, but in reverse; the goal is to select the start-times that appear later. See the example below and ensure that your output matches the example below. Include a verbal description of your algorithm, pseudocode and analysis of the...
7. Given a set of n activities with start time and finish time F; of an i activity. Find the maximum size set of mutually compatible activities. Implement following string matching algorithms and analyze time complexities: 8. a) Naïve method b) Rabin karp Algorithm c) Finite state Automaton algorithm 9. A hash table is a data structure used to implement an associative array, al structure that can map keys to values. Implement Hashing using Linear and Quadratic Probing.