Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications from sports scheduling an ...

This paper treats a Markov decision problem with an infinite planning horizon and no discounting. This model is analyzed by application, perhaps repeated, of a simple linear program.

Students must know basics of linear algebra (matrix multiplication, geometric interpretation of vectors), linear programming, and probability theory (expected value, conditional probability, ...

Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the ...

An introduction to a range of Operations Research techniques, covering: foundations of linear programming, including the simplex method and duality; integer programming; markov chains; queueing theory ...