Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 16.2, Problem 1E
Program Plan Intro
To prove that fractional knapsack problem has the greedy-choice property.
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11. Go to the Webinars worksheet. DeShawn wants to determine the number of webinars the company can hold on Tuesdays and Thursdays to make the highest weekly profit without interfering with consultations, which are also scheduled for Tuesdays and Thursdays and use the same resources.
Use Solver to find this information as follows:
a. Use Total weekly profit as the objective cell in the Solver model, with the goal of determining the maximum value for that cell.
b. Use the number of Tuesday and Thursday sessions for the five programs as the changing variable cells.
c. Determine and enter the constraints based on the information provided in Table 3.
d. Use Simplex LP as the solving method to find a global optimal solution.
e. Save the Solver model below the Maximum weekly profit model label.
f. Solve the model, keeping the Solver solution.
Table 3: Solver Constraints
Constraint Cell or Range
Each webinar is scheduled at least once on Tuesday and once on Thursday B4:F5
Each Tuesday and…
Go to the Webinars DeShawn wants to determine the number of webinars the company can hold on Tuesdays and Thursdays to make the highest weekly profit without interfering with consultations, which are also scheduled for Tuesdays and Thursdays and use the same resources. Use Solver to find this information as follows:
Use Total weekly profit as the objective cell in the Solver model, with the goal of determining the maximum value for that cell.
Use the number of Tuesday and Thursday sessions for the five programs as the changing variable cells.
Determine and enter the constraints based on the information provided in Table 3.
Use Simplex LP as the solving method to find a global optimal solution.
Save the Solver model below the Maximum weekly profit model label.
Solve the model, keeping the Solver solution.
Table 3: Solver Constraints
Constraint
Cell or Range
Each webinar is scheduled at least once on Tuesday and once on Thursday
B4:F5
Each Tuesday and Thursday…
I want to ask someone who has experiences in writing physics based simulation software. For context I am building a game engine, and want to implement physics simulation. There are a few approaches that I managed to find, but would like to know what are other approaches to doing physics simulation entry points from scenes, would you be able to visually draw me a few approaches (like 3 approaces)?
When I say entry point to the actual physics simulation. An example of this is when the user presses the play button in the editor, it starts and initiates the physics system. Applying all of the global physics settings parameters that gets applied to that scene.
Here is the use-case, I am looking for. If you have two scenes, and select scene 1. You press the play button. The physics simulation starts. When that physics simulation starts, you are also having to update the physics through some physics dedicated delta time because physics needs to happen faster update frequency.
To elaborate,…
Chapter 16 Solutions
Introduction to Algorithms
Ch. 16.1 - Prob. 1ECh. 16.1 - Prob. 2ECh. 16.1 - Prob. 3ECh. 16.1 - Prob. 4ECh. 16.1 - Prob. 5ECh. 16.2 - Prob. 1ECh. 16.2 - Prob. 2ECh. 16.2 - Prob. 3ECh. 16.2 - Prob. 4ECh. 16.2 - Prob. 5E
Ch. 16.2 - Prob. 6ECh. 16.2 - Prob. 7ECh. 16.3 - Prob. 1ECh. 16.3 - Prob. 2ECh. 16.3 - Prob. 3ECh. 16.3 - Prob. 4ECh. 16.3 - Prob. 5ECh. 16.3 - Prob. 6ECh. 16.3 - Prob. 7ECh. 16.3 - Prob. 8ECh. 16.3 - Prob. 9ECh. 16.4 - Prob. 1ECh. 16.4 - Prob. 2ECh. 16.4 - Prob. 3ECh. 16.4 - Prob. 4ECh. 16.4 - Prob. 5ECh. 16.5 - Prob. 1ECh. 16.5 - Prob. 2ECh. 16 - Prob. 1PCh. 16 - Prob. 2PCh. 16 - Prob. 3PCh. 16 - Prob. 4PCh. 16 - Prob. 5P
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