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Consider the symmetric traveling salesman problem with the graph shown in Fig. 10.16.
(a) Find a suboptimal solution using the nearest neighbor heuristic starting from node 1.
(b) Find a suboptimal solution by first solving an assignment problem, and by then merging subtours.
(c) Try to improve the solutions found in (a) and (b) by using the 2-OPT heuristic
a certain species of fish has a weight which is normally distributed with mean u 2kg and standard deviation 0.3 kg.
a teacher instituted a new reading program at school. after 10 weeks in the program it was found that the mean reading
Using a normal distribution with a mean of 1118 and a standard deviation of 52 for the weights of steers, what percent of steers weigh over 1250 pounds, under 1100 pounds, between 1000 and 1150 pounds.
the amounts of soft drink machine is designed to dispense for each drink are normally distributed with a mean of 11.7
What is the probability that sheer guesswork yields betwenn 25 to 30 correct answers for the test (assume the student has no knowledge of the problems). Be sure to justify why you can use the method you do.
Draw a normal curve in the X- and z scales and show the percentage of the area under the curve within 1, 2, and 3 standard deviation units of its mean.
is it possible to run both test for the same experiment? if so how or what situation would warrant such
a student in the concrete lab places 6 low strength concrete test cylinders 3500 psi with a batch of 9 high strength
Assuming that the two events are independent , the probability that cost is kept within budget and the campaign sales is:
If she has chosen the first weeks rides, how many ways can she choose four more different rides for the second week? Assume that order does not matter.
Using the stem and leaf technique, construct a less-than cumulative frequency distribution. -Draw to scale a histogram, frequency polygon and less-than cumulative ogive using the information from 1.
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots.
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