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2 A brief introduction to mathematical optimization

Оглавление

Learning outcomes

By the end of this chapter, the student will be able to:

 Establish first-order conditions for locally optimal solutions.

 Solve unconstrained optimization problems, using the gradient method, implemented in Python.

 Solve equality-constrained optimization problems, using Newton’s method implemented in Python.

Mathematical Programming for Power Systems Operation

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