When a Solver model includes integer, binary or alldifferent constraints, it is called an integer programming problem. Integer constraints make a model non-convex, and finding the optimal solution to an integer programming problem is equivalent to solvin ...
In the Solver Parameters dialog box, click Options. In the Solver Options dialog box, on the All Methods tab, choose one or more of the following options: Constraint precision In the Constraint Precision box, type the degree of precision that you want. Fo ...
Linear Regression Using Solver Linear regression creates a statistical model that can be used to predict the value of a dependent variable based on the value(s) of one more independent variables. The example dataset below was taken from the well-known Bo ...
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