Google Docsedgenuity.com/Player/es Semester AOThis is an example of aQuestion # 16X +7 HO1 2 3 4A delivery truck needs to visit 135 addresses. Calculating every possible route to find the shortest route would consume too much timeand resources, so a simpler method is used that might miss finding the shortest possible route.A Qbrute forcev6.2.1-0055.20221212.mainline.heuristicO combinatorial problemO tractable problemO intractable problemO knapsack problem✓algorithm.Multiple Choiceknapsack problemA programmer finds the average daily expense for January by dividing the expenses for the entire month by 31. What type of problem isthis?O M31 FRAN ▶DELLA< PREVIOUSGEnglishNEXT >VSign outSAVEKinleSection 4 of 4SUBMIT©2016 Glynlyon, Inc. All rights reservedMar 28 1:4

A delivery truck needs to visit 135 addresses. Calculating every possible route to find the shortest route would consume too much time and resources, so a simpler method is used that might miss finding the shortest possible route. This is an example of a brute force ✓algorithm. Question # 16 heuristic Multiple Choice knapsack problem A programmer finds the average daily expense for January by dividing the expenses for the entire month by 31. What type of problem is this? O combinatorial problem O tractable problem O intractable problem O knapsack problem

A delivery truck needs to visit 135 addresses. Calculating every possible route to find the shortest route would consume too much time and resources, so a simpler method is used that might miss finding the shortest possible route. This is an example of a brute force ✓algorithm. Question # 16 heuristic Multiple Choice knapsack problem A programmer finds the average daily expense for January by dividing the expenses for the entire month by 31. What type of problem is this? O combinatorial problem O tractable problem O intractable problem O knapsack problem

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter20: Queuing Theory

Section20.10: Exponential Queues In Series And Open Queuing Networks

Problem 1P

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Select an intelligent optimization method (such as tabu search, simulated annealing, genetic algorithm, ant colony optimization, particle swarm optimization, or other methods) and using programming language to implement it to solve a traveling salesman problem or a functional optimization problem.(For TSPs, you can choose any TSP problem from https ://people.sc.fsu.edu/ jburkardt/datasets/tsp/tsp.html to solve, but I suggest a median scale is OK, such as FRI26 with 26 cities. For function optimization, search the minimal value of f(x), and f(x) = −∑n i=1 sin(xi)(sin(ix2 i /π)) 2m, where n = 10,m = 10, subject to 0 < xi < π,i = 1,...,n. There are n! local optima and the global minimum value for n = 10 is f(x∗) = −9.660152. ) please give me python program code..thanks
What is the effect of including spelling errors, vs. automatically correcting spelling errors on Heaps’ law?Compute the vocabulary size M for this scenario:  Looking at a collection of web pages, you find that there are 3000 different terms in the first 10,000 tokens and 30,000 different terms in the first 1,000,000 tokens.  Assume a search engine indexes a total of 20,000,000,000 (2 × 1010) pages, containing 200 tokens on average  What is the size of the vocabulary of the indexed collection as predicted by Heaps’ law?
Please solve it correctly with a proper explanation of the calculation. Question: Given, you want to visit “welcomebacktophysicalexams.com”. Your network has alocal DNS server and is using a recursive lookup to fetch IP addresses and RTT of 29 ms.Others in your network have already visited the above website a few hours before yourvisit.After fetching the IP address, your PC sends a non-persistent HTTP request of size 109bytes to bring 13 objects of size 31 bytes each. In this particular connection, it requiresthe PC 67ms to send the TCP request to the server. I. What is the total RTT in ms in the DNS lookup?II. What is the total RTT in ms required (including DNS) to bring the full object toyour PC?III. What is the total file transmission time in ms after fetching the IP address?
Please solve it correctly and give proper explanation. Question: Given, you want to visit “welcomebacktophysicalexams.com”. Your network has alocal DNS server and is using a recursive lookup to fetch IP addresses and RTT of 29 ms.Others in your network have already visited the above website a few hours before yourvisit.After fetching the IP address, your PC sends a non-persistent HTTP request of size 109bytes to bring 13 objects of size 31 bytes each. In this particular connection, it requiresthe PC 67ms to send the TCP request to the server. I. What is the total RTT in ms in the DNS lookup?II. What is the total RTT in ms required (including DNS) to bring the full object toyour PC?III. What is the total file transmission time in ms after fetching the IP address?
Numerous engineering and scientific applications require finding solutions to a set of equations. Ex: 8x + 7y = 38 and 3x - 5y = -1 have a solution x = 3, y = 2. Given integer coefficients of two linear equations with variables x and y, use brute force to find an integer solution for x and y in the range -10 to 10. Ex: If the input is: 8 7 38 3 -5 -1 then the output is: 3 2 Use this brute force approach: For every value of x from -10 to 10 For every value of y from -10 to 10 Check if the current x and y satisfy both equations. If so, output the solution, and finish. Ex: If no solution is found, output: No solution You can assume the two equations have no more than one solution. Note: Elegant mathematical techniques exist to solve such linear equations. However, for other kinds of equations or situations, brute force can be handy.
The figure depicts K sources which are connected to the Internet via linksof capacity RS, and within the network fairly share a common link ofcapacity R to K destinations. Each destination is connected to the networkby a link of capacity RD. You can assume that there are no other links orsource-destination pairs in the network.Now suppose that source Si has an infinitely large file it wants to send todestination Di (i.e., each source sends to a different destination).a. If K=10, RS = 100 Mbps, Rd=10 Mbps, and R = 10 Gbps. What is thethroughput between each source-destination pair? Where are thebottleneck links?If we now assume that K=10, RS = 100 Mbps, Rd= 100 Mbps, and R = 0.5Gbps. What are the new throughputs between each source-destinationpair? Where are the bottle-neck links?
A computer memory with a total of three physical pages with below pagereference sequence: 1, 2, 3, 2, 1, 4, 3, 5, 6, 4, 3, 5, 3, 5, 6, 7, 2, 1, 5, 7.How many page faults occur using the following algorithms? a) FIFOb) LRUc) OptimalAlso state which one is better algorithm?
Numerous engineering and scientific applications require finding solutions to a set of equations. Ex: 8x + 7y = 38 and 3x - 5y = -1 have a solution x = 3, y = 2. Given integer coefficients of two linear equations with variables x and y, use brute force to find an integer solution for x and y in the range -10 to 10. Ex: If the input is: 8 7 38 3 -5 -1 Then the output is: x = 3 , y = 2 Use this brute force approach: For every value of x from -10 to 10 For every value of y from -10 to 10 Check if the current x and y satisfy both equations. If so, output the solution, and finish. Ex: If no solution is found, output: There is no solution Assume the two input equations have no more than one solution. Note: Elegant mathematical techniques exist to solve such linear equations. However, for other kinds of equations or situations, brute force can be handy.
Numerous engineering and scientific applications require finding solutions to a set of equations. Ex: 8x + 7y = 38 and 3x - 5y = -1 have a solution x = 3, y = 2. Given integer coefficients of two linear equations with variables x and y, use brute force to find an integer solution for x and y in the range -10 to 10. Ex: If the input is: 8 7 38 3 -5 -1 Then the output is: x = 3 , y = 2 Use this brute force approach: For every value of x from -10 to 10 For every value of y from -10 to 10 Check if the current x and y satisfy both equations. If so, output the solution, and finish. Ex: If no solution is found, output: There is no solution You can assume the two equations have no more than one solution. Note: Elegant mathematical techniques exist to solve such linear equations. However, for other kinds of equations or situations, brute force can be handy. ''' Read in first equation, ax + by = c '''a = int(input())b = int(input())c = int(input()) ''' Read in second equation, dx + ey = f '''d…
1110011010 1101001001 1001101001 1110110010 0100011111 0011000110 1101100001 1100011101 1110101010 0011010101 Above dataset is 10X10 maze. algorithm will find optimized route. Slot that is noticed as 1 is where we can move, slot that is noticed as 0 is where we can not move. And I need to find the route by DFS way. can you help me to find the solution by python?
Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. Think about a diagram on k hubs, with numbers from b1 to bk composed on them. For each I from 1 to k: track down such j (1≤j≤k, j≠i), for which (bi⊕bj) is the littlest among all such j, where ⊕ indicates the activity of bitwise XOR (https://en.wikipedia.org/wiki/Bitwise_operation#XOR). Then, draw an undirected edge between vertices with numbers bi and bj in this chart. We say that the succession is acceptable if and provided that the subsequent diagram frames a tree (is associated and doesn't have any straightforward cycles). It is conceivable that for certain numbers bi and bj, you will attempt to add the edge between them twice. All things considered, you will add this edge just a single time. You can track down a model underneath (the image comparing to the main experiment). Succession (0,1,5,2,6) isn't great as we can't arrive at 1 from 5. Notwithstanding,…
The shortest route technique might be logically used for a. finding the shortest travel distance between two points. b. finding the most scenic route to allow travel to several places during a trip on spring break. c. finding the longest time to travel between two points. d. none of the answers presented apply. e. connecting all the points of a network together while minimizing the distance between them.