Juan Orozco
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Gurobi Staff
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Recent activity by Juan Orozco-
As long as you model doesn't have numerical issues, you can definitely trust the optimal solution reported by our Solver
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Official comment As explained in the section MIP Logging of our reference manual, The sub-section Current Node of the Branch-and-Cut (B&C) Tree Search provides information on the specific node that was explored at ...
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Official comment Our solver does not rely on enumeration to see whether a point is feasible or not. In fact, this approach does not work on real-world problems, as they typically have an astronomical number of feas...
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Official comment To get non-overlapping rectangles of the same area, you can solve the following feasibility model (implemented in Python): import gurobipy as gpfrom gurobipy import GRBTOTAL_HEIGHT = 5TOTAL_WIDTH =...
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Official comment You can specify this behavior by setting the parameter MIPGap.
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Official comment Dear Álvaro, Recall that PCA is not scale invariant. It's very important to check whether a specific implementation centers and/or scales the data matrix before finding the principal components. As...
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Official comment Dear Parijat, That's indeed possible. Please find below an assignment problem I implemented with the Gurobi-Python interface: import gurobipy as gpfrom gurobipy import GRBresources = ["r1", "r2", "...
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Official comment Dear Daniel, Let flag be a binary variable that takes on the value of one if and only if the general integer variable storage is strictly greater than zero (i.e. flag=0 when storage=0). Also, let B...
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Official comment Dear Ray, I'd use two types of general constraints, namely model.addGenConstrAbs() and model.addGenConstrIndicator(), along with a few auxiliary variables. In Python, this would look as follows: ...
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To get acquainted with our new Matrix API within the Gurobi-Python interface, please refer to the functional code examples matrix1.py and matrix2.py.