(a)
To show that there will always be a point where maximum overlap is an endpoint of one of the segments.
(a)
Explanation of Solution
Given Information: A point of maximum overlap in a set of intervals is a point with the largest number of intervals in the set that overlap it.
Explanation:
Consider that there is no point of maximum overlap in an endpoint of a segment. The maximum overlap occurs in the interior of m segments. Here, the point P is the intersection of those m points.
There must be another point
Hence, it is proved that the there is always a point where maximum overlap has an endpoint of the segment.
(b)
To show that there will always be a point where maximum overlap is an endpoint of one of the segments.
(b)
Explanation of Solution
Explanation:
Consider a balanced binary tree of endpoints. For inserting the interval, it is necessary to insert the endpoints separately. Consider the endpoints as e . For left endpoint e , increase the value of e by 1 and for right endpoint e , decrease the overlap by 1.
For multiple endpoints with same value, insert the left endpoints with the value before the right endpoints with the value.
Consider that
Where
Here, each node x store the new node that includes the endpoints
For bottom up approach to satisfy the conditions of red black tree following conditions must be hold:
Want to see more full solutions like this?
- Assume that we are utilizing a doubly linked list of unsorted data. What would be the asymptotic running time of the data structure for the following functions? Search() Insert() Delete() Minimum() Maximum() Successor() Predecessor()arrow_forwardQ2: Recall the problem of finding the median of an array of an unsorted list. How fast can one complete the median? What is the recurrence relation that the algorithm follows? (Do not state the algorithm or solve the recurrence relation)arrow_forwardPlease written by computer source This question asks you to perform competitive analysis of transpose (TR) and frequency count (FC).(i) Suppose that you are maintaining a list of n elements under access operation only. The cost of access to the i-th element in the list is i. Let S be arequest sequence of m access operations over this list. For any sufficiently large m, construct a request sequence S such that for this request sequence, the total cost of TR divided by the total cost of MTF is ω(1).(ii) Use the result of (i) to argue that TR is not competitive.Hint: You just have to use the definition of competitiveness. Therefore, You cansolve this subquestion without having to solve (i) first.(iii) Further prove that FC is not competitive, either.arrow_forward
- The following question is related to UnionFind(aka disjoint-set); m Find-set operation can be executed in O(m log* n) time CASE: pointer from node k to x[k] with group(x[k]) = group(k) Explain why in the case above, when the parent of a node k is updated to a node in a higher-rank group, k will never be in this case again.arrow_forwardQuestion 2: Let S be a set of n points in R 2 . We consider each point of S to be the location of a city. With each point of S, we are also given the size of the population of the city represented by this point. Describe a data structure of size O(n log n) that supports the following type of query in O(log2 n) time: Given a query point q in R 2 and a query range [a, b], report the city with a population in the range [a, b] that is closest to q. Justify the size and query time of your data structure.arrow_forwardQuestion:Given an array of integers, find the maximum sum of any contiguous subarray. Example:Input: [-2, 1, -3, 4, -1, 2, 1, -5, 4]Output: 6 (corresponding to the subarray [4, -1, 2, 1]) Write a function `max_subarray_sum` that takes in an array of integers and returns the maximum sum of any contiguous subarray. Function signature: `def max_subarray_sum(arr: List[int]) -> int` .arrow_forward
- Let M(m,n) denote the number of comparisons required to merge two sorted lists of sizes m and n. a) Derive an "information theoretic" lower bound on M(m,n). b) Find an interesting relation between M(m,n) and the analogous function S defined for sorting. Use this relation to derive a lower bound for M(m,n) in terms of S. (Hint: Start with an upper bound on S(m+n).arrow_forward) A deque DQUE is to be implemented using a circular one-dimensional arrayof size N. Execute procedures to:i) insert and delete elements from DQUE at either end;ii) implement DQUE as an output restricted deque;iii) implement DQUE as an input restricted deque;iv) for the procedures, what are the conditions used for testing whether DQUE isfull (DQUE_FULL) and empty (DQUE_EMPTY)?arrow_forwardWrite the pseudo-code for Depth First Branch and Bound Search. Can we alsoconstruct a Breadth First Branch and Bound search? What will be the advantages anddisadvantages of these two versions of Branch and Bound search?arrow_forward
- The code of a sequential search function is shown on textbook page 60. In fact, if the list is already sorted, the search can halt when the target is less than a given element in the list. For example, given my_list = [2, 5, 7, 9, 14, 27], if the search target is 6, the search can halt when it reaches 7 because it is impossible for 6 to exist after 7. Define a function linearSearchSorted, which is used to search a sorted list. This function displays the position of the target item if found, or ‘Target not found’ otherwise. It also displays the elements it has visited. To test your function, search for these targets in the list [2, 5, 7, 9, 14, 27]: 2, 6, 14, 27 and 28.arrow_forwardThe format P(X) represents as a power set of given "X", (of all X's subsets) Now, assume there are two sets A= {q, w, e, r} and B = {w, r, f}. (a) What are the elements of P(A) ∩P(B )?(b) What is the cardinality of P(A ∪B )?(c) What is |P(A) ∪P(B )|?arrow_forward1. Consider strings that contain only the capital letters A, B and C. A) Find a recurrence relation for the number of such strings of length n that contain two consecutive C letters. What are the initial conditions? B) How many such strings of length six contain two consecutive C letters? C) Answer the question in point b using the Inclusion-Exclusion Principle (set A contains all strings of length six where CC occupy the first two positions, set B contains all strings of length six where CC occupy the second and third position, etc.).arrow_forward
- Database System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill EducationStarting Out with Python (4th Edition)Computer ScienceISBN:9780134444321Author:Tony GaddisPublisher:PEARSONDigital Fundamentals (11th Edition)Computer ScienceISBN:9780132737968Author:Thomas L. FloydPublisher:PEARSON
- C How to Program (8th Edition)Computer ScienceISBN:9780133976892Author:Paul J. Deitel, Harvey DeitelPublisher:PEARSONDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781337627900Author:Carlos Coronel, Steven MorrisPublisher:Cengage LearningProgrammable Logic ControllersComputer ScienceISBN:9780073373843Author:Frank D. PetruzellaPublisher:McGraw-Hill Education