- Modelling
and decision theory -
how
do you build a model which captures the essential parts of a real world
problem?
- Optimization
algorithms and complexity -
what
is an algorithm and what can it do?
- Linear
programming (LP)
-
Algorithms
and theory - simplex, interior points, network flows, sensitivity analyses,
duality
-
Applications
- examples and cases from the real world
- Exercises
- build your own LP model and see how it works
- Integer
programming (IP)
-
Algorithms
- branch-and-bound, cutting planes, decomposition
-
Applications
- examples and cases from the real world
- Exercises
- build your own IP model and see how it works
- Software
tools -
from
Excel to Ilog Cplex - some of the most popular commercial tools for
modelling and solving optimization problems are covered
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