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Mathematical Optimization: Solving Problems using SCIP and Python — Mathematical Optimization
Mathematical Optimization: Solving Problems using SCIP and Python¶ This book is an introduction to optimization based on PyScipOpt — a Python interface to the SCIP optimization software. Please visit ...
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Mathematical Optimization: Solving Problems using SCIP and Python — Mathematical Optimization
Mathematical Optimization: Solving Problems using SCIP and Python — Mathematical Optimization: Solving Problems using Gurobi and Python
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Introduction — Mathematical Optimization: Solving Problems using Gurobi and Python
minimize or optimum or optimal solution — the best possible from all candidate solutions measured by the value of the objective function. The variables in the model are typically defined to be non...
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Graph problems — Mathematical Optimization: Solving Problems using Gurobi and Python
Although the central paradigm used in this document for solving optimization problems is mathematical optimization (previously known as mathematical programming), another framework for solving simil...
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Facility location problems — Mathematical Optimization: Solving Problems using Gurobi and Python
Facility location Left: graph representation of an instance of the facility location problem. Suppliers are represented as squares and clients as circles. Right: possible solution, with thick line...
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Forward — Mathematical Optimization: Solving Problems using Gurobi and Python
This book is loosely based on “Mathematical Optimization: Solving Problems using Python and Gurobi” by M. Kubo, J.P. Pedroso, M. Muramatsu, and A. Rais, in Japanese, published in 2012 by Kindaikagaku...