Given the data for a transportation problem in table below;i. Use the North West Corner method to determine an initial solutionii. Proceed on to solve for the optimal solution using the stepping stone algorithmDestinationOrigin 12Supply120301010023040253003351520100Demand150125225

Answered: Image /qna-images/answer/7c6b1da4-d49c-42d3-8e11-7e0980fde0bb.jpg

Answered: Given the data for a transportation…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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8. A school is creating class schedules for its students. The students submit their requested courses and then a program will be designed to find the optimal schedule for all students. The school has determined that finding the absolute best schedule cannot be solved in a reasonablo time. Instead they have decided to use a simpler algorithm that produces a good but non-optimal schedule in a more reasonable amount of time. Which principle does this decision best demonstrate? O A Unreasonable algorithms may sometimes also be undecidable O B. Heuristics can be used to solve some problems for which no reasonable algorithm exsts O C. efficiency Two algorithms that solve the same problem must also have the same O B. Approximate solutions are often identical to optimal solutions
Code (program)
Example The Traveling Salesman Problem in Paris: An Optimal Tour Considering a Multimodal Transportation System
Problem 1 Consider the following optimization problem: min f(x, y) = 3x² + y* x,y Solve the problem computationally - once by running gradient descent algorithm, and once by running the Newton descent algorithm. Report all parameters used in the two algorithms and the number of iterations to convergence. You have to use Python.
handwritten solution asap
Problems that can be solved in polyomial time are known as? OA. Traable problems B. Intractable problems C. Optimal Problems D. Decision problems Reset Selection
Problem: Solve the following equality-constrained optimiza- tion problem using Newton descent algorithm with the initial point (1, 4, 0): min f(x, y, z) = e" + 2y? + 3z2 x,y,z subject to x – 5z = 1 | y + z = 4 Compute the optimal dual variables as well. You have to answered above problem By using Python Programming Language.
Simplify the given Boolean function and design its logic gates(NAND and NOR) (x,y,z) = xy’z+xyz+y’z’ NOTE: Handwritten form.
K = 0, L = 18 Write and solve the following linear program using lingo, take screen shots of your model as well as the reports and the optimal solution. Clearly show the optimal solution.NB:K=the second digit of your student number;L=sum of the digits of your student number, For example if your student number is 17400159 thenK=7andL=1+7+4+0+0+1+5+9=27!!!! SAVE YOUR FILE BY YOUR STUDENT NUMBER!!!!minz=t∈T∑(AtYt+PtXt)+k∈K∑(HkUk+BkVk)s.t.Uk+Vk=50∀k∈KXt−CtYt<=0∀t∈Tk∈K∑Vk≥80t∈T∑Xt≥t∈T∑DtXt>=0∀t∈TYt∈{0,1}∀t∈TUk>=0∀k∈KVk>=0∀k∈KThe sets parameters and data are as follows: \[ \begin{array}{l} \mathrm{T}=\{1,2,3,4\} \\ \mathrm{K}=\{0,1,2,3,4\} \\ \mathrm{A}=\{5000,7000,8000,4000\} \\ \mathrm{D}=\{250,65,500,400\} \\ \mathrm{C}=\{500,900,700,800\} \\ \mathrm{P}=\{20, \mathrm{~L}, 25,20\} \\ \mathrm{H}=\{5,3,2, \mathrm{~K}, 9\} \\ \mathrm{B}=\{8,5,4,7,6\} \end{array} \]
Question 1: Maximize the function f(x) (40*x + 55) / (x - 28*x + 254) using the the variable step size gradient algorithm. Use Ax = 0.0001 when calculating the numerical derivative. Take the initial step size as ss = 8 and start with x, = 2. Apply 5 iterations of the algorithm and report x, f(x) and f(x) values with three decimal digits. You should report x, X, X, X. Xs, Xạ and similarly %3! with f(x) and f(x).
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