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What are some examples of personal or professional decisions where constrained optimization might be applied? You don't have to formulate the mathematical problem, just discuss what the decision variables would be, how would you measure success (i.e., what would you maximize or minimize), and what conditions might the decision variables need to satisfy for the decisions to be considered feasible.
Elastic energy is the potential mechanical energy stored in the volume of a material
This problem requires the use of Excel and the add-in, called Solver. The course is Excel-based and Solver is the optimization application used for all problems.
Neglecting atmospheric pressure, find the total force due to water pressure acting on a thin strip of the dam of height dy located at a depth y.
Develop and solve a linear programming model to help Texmart determine how many projects of each type it should undertake
1) Use Stata to analyze the following data from a clinical trial designed to evaluate whether or not patients with coronary artery disease respond to different treatments. The treatments are called heparin and enoxaparin. Let
Estimate for the Trapezoidal rule to give a bound for the error in problem A for the Trapezoidal rule.
Explain the purpose of the chi-square test for independence. Provide some practical examples where this test might be used in business.
2. Draw the complex spectrum (both magnitude and phase) for the following signals:
Using the scenario and two variables your learning team developed for the Week 2 Business Research Project Part 1 assignment, create a paper of no more than 700 words in which the goal is to submit a random sampling plan in such detail that anothe..
The firm wants to know how many pounds of wieners of each type to produce to maximize profits. a. Formulate a linear programming model and solve the model by using a computer.
Separation of variables to solve the heat equation problem with inhomogeneous boundary conditions and evaluate your series solution in order to plot the temperature profile at a few fixed values of time.
Debate if "failing to reject the null" is the same as "accepting the null." Support your position with examples of acceptance or rejection of the null. Next, give your opinion on whether or not a failed t test "proves" the null hypothesis.
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