Mathematical Modeling with Optimization, Part 3: Problem-Based Mixed-Integer Linear Programming
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Mathematical Modeling with Optimization, Part 3: Problem-Based Mixed-Integer Linear Programming
Through a steel blending example, you will learn how to solve a mixed-integer linear program using Optimization Toolbox solvers and a problem-based approach.
2017年8月31日
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SOLVED: Consider the following all-integer linear program:Maximize X 2y subject to 6x 4y < 20, x y < H, x 2y < 9, x ≥ 0, y ≥ 0, and both x and y are integers.Graph the constraints for this problem: Use dots to indicate all feasible integer solutions. (5 marks)Solve the LP Relaxation of this problem. (5 marks)Find the optimal integer solution (show your work). (5 marks)
SOLVED: Consider the following all-integer linear program:Maximize X 2y subject to 6x 4y < 20, x y < H, x 2y < 9, x ≥ 0, y ≥ 0, and both x and y are integers.Graph the constraints for this problem: Use dots to indicate all feasible integer solutions. (5 marks)Solve the LP Relaxation of this problem. (5 marks)Find the optimal integer solution (show your work). (5 marks)
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SOLVED: Consider the following all-integer linear program:Maximize X 2y subject to 6x 4y < 20, x y < H, x 2y < 9, x ≥ 0, y ≥ 0, and both x and y are integers.Graph the constraints for this problem: Use dots to indicate all feasible integer solutions. (5 marks)Solve the LP Relaxation of this problem. (5 marks)Find the optimal integer solution (show your work). (5 marks)
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