Continuous Optimization

This part focuses on algorithmic considerations about the ILOG CPLEX optimizers that solve problems formulated in terms of continuous variables. While ILOG CPLEX is delivered with default settings that enable you to solve many problems without changing parameters, this part also documents features that you can customize for your application. This part contains:

Solving LPs: Simplex Optimizers
Solving LPs: Barrier Optimizer
Solving Network-Flow Problems
Solving Problems with a Quadratic Objective (QP)
Solving Problems with Quadratic Constraints (QCP)

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