plz solve it ASAP Question 6The shapes of below are representingin a flowchart design.13O a. (1) decision, (2) terminator, (3) predefined process, and (4) preparationOb.(1) predefined process, (2) terminator, (3) process, and (4) preparationOc (1) process, (2) terminator, (3) predefined process, and (4) preparationOd. (1) process, (2) preparation, (3) predefined process, and (4) terminator

First(1) is process. This shape, also called a "Action Symbol," represents a process, action, or…

Answered: Question 6 The shapes of below are…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Correct answer will be upvoted else downvoted. Phoenix has n squares of stature h1,h2,… ,hn, and everything howdy don't surpass some worth x. He intends to stack all n blocks into m separate pinnacles. The tallness of a pinnacle is essentially the amount of the statures of its squares. For the pinnacles to look lovely, no two pinnacles might have a tallness distinction of stringently more than x. Kindly assist Phoenix with building m pinnacles that look excellent. Each pinnacle should have somewhere around one square and all squares should be utilized. Input The input comprises of numerous experiments. The principal line contains an integer t (1≤t≤1000) — the number of experiments. The primary line of each experiment contains three integers n, m, and x (1≤m≤n≤105; 1≤x≤104) — the number of squares, the number of pinnacles to fabricate, and the greatest OK tallness distinction of any two pinnacles, separately. The second line of each experiment contains n space-isolated…
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4. This problem is about how we deal with intractable problems. The Traveling Salesperson Problem (TSP)* is a well-known problem that resembles many practical problems in vehicle routing, network design, computer chip layout, and even DNA sequencing. TSP is NP-HARD, meaning that if we can solve TSP in polynomial time, then we can solve any NP problem in polynomial time by converting it into a TSP problem. This quote from Wikipedia sums it up: The most direct solution would be to try all permutations (ordered combinations) and see which one is cheapest (using brute-force search). The running time for this approach lies within a polynomial factor of 0(n!), the factorial of the number of cities, so this solution becomes impractical even for only 20 cities. Select the most accurate statement about TSP: O A greedy algorithm can be used to solve TSP (produce an exact solution) in polynomial time. O A greedy algorithm can be used to approximate a solution to TSP in polynomial time, where the…
A problem that can be solved in polynomial time by some non-deterministic algorithms 1S in class. (P, NP)
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Write an algorithm that will take 3 integers as input and find theGCD. please solve it properly.I need solve 3 intergers as input and find GCD and algorithm of it
Python Big-O Coding/Solving
Is it true that a greedy algorithm always finds the best solution? Justify your response.

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