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

These models are optimized in two different cases: one with constraints – as the problems were originally formulated – and one without constraints. For each model, the effectiveness (fig. 1) and ...

This paper is an exploration of the empirical implications for the behavior of consumer-workers of treating unemployment as a constraint on choice rather than the result of it. The consequences of one ...

Abstract Constrained quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with a finite number of supporting points lying on a ...