This text covers the basic theory and computation for mathematical
modeling in linear programming. It provides a strong background on
how to set up mathematical proofs and high-level computation
methods, and includes substantial background material and
direction. Paris presents an intuitive and novel discussion of what
it means to solve a system of equations that is a crucial stepping
stone for solving any linear program. The discussion of the simplex
method for solving linear programs gives an economic interpretation
to every step of the simplex algorithm. The text combines in a
unique and novel way the microeconomics of production with the
structure of linear programming to give students and scholars of
economics a clear notion of what it means, formulating a model of
economic equilibrium and the computation of opportunity cost in the
presence of many outputs and inputs.
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