From the course: Excel: Using Solver for Decision Analysis
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Introduce linear, nonlinear, and evolutionary programming - Microsoft Excel Tutorial
From the course: Excel: Using Solver for Decision Analysis
Introduce linear, nonlinear, and evolutionary programming
- [Instructor] Before I get into using Solver, I would like to give you an introduction to linear and integer programming. The goal in both cases is to find the optimal solution to a system of equations. Within those equations, which we'll look at examples in a moment, linear programming does not allow exponents or things like division or counting. You can only have multiplication, addition, and subtraction. Non-linear programming does allow exponents and division and so on. But where linear programming will find you an optimal solution, if there is one, non-linear programming does not guarantee that. And, finally, integer programming requires whole number solutions. For example, you couldn't sell one half of a car to someone. You can only sell cars as entire units. Now let's take a look at what I mean by systems of equations. These are mathematical representations of the constraints on a problem. For example, if you…
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Contents
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Find target values using Goal Seek3m 30s
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Introduce linear, nonlinear, and evolutionary programming2m 12s
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Install the Solver add-in on Windows1m 41s
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Organize a worksheet for use in Solver3m 42s
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Find a solution using Solver4m 29s
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Challenge: Create a Solver model1m 59s
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Solution: Create a Solver model5m 35s
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