You are given two sorted arrays, each of size n. Give as efficient an algorithm as possible to find the k-th smallest element in the union of the two arrays. What is the running time of your algorithm as a function of k and n?

Active listen eliminates barries to communication true or false

The idea that, for each pair of devices v and w, there’s a strict dichotomy between being “in range” or “out of range” is a simplified abstraction. more accurately, there’s a power decay function f (·) that specifies, for a pair of devices at distance δ, the signal strength f(δ) that they’ll be able to achieve on their wireless connection. (we’ll assume that f (δ) decreases with increasing δ.) we might want to build this into our notion of back-up sets as follows: among the k devices in the back-up set of v, there should be at least one that can be reached with very high signal strength, at least one other that can be reached with moderately high signal strength, and so forth. more concretely, we have values p1 ≥ p2 ≥ . . ≥ pk, so that if the back-up set for v consists of devices at distances d1≤d2≤≤dk, thenweshouldhavef(dj)≥pj foreachj. give an algorithm that determines whether it is possible to choose a back-up set for each device subject to this more detailed condition, still requiring that no device should appear in the back-up set of more than b other devices. again, the algorithm should output the back-up sets themselves, provided they can be found.\

The database design steps are listed below in the incorrect order. choose the correct order number next to each step. determine the information to be stored in the database. determine the fields needed to record the data determine if there will be any repetition of data entered, and separate the fields into tables to normalize the data. create relationships to connect the tables.