This paper describes the integration of a network optimization algorithm with a decision and information system for the Graduate School of Management at UCLA. This optimization algorithm plays an important role in the determination of the annual teaching schedule by assigning faculty to courses...

This paper develops a framework for managing portfolios of fixed income instruments based on traditional principles from the equities market, i.e., based on diversification. It shows, through an analysis of the high-yield bond market over the period 1987 to 1991, that fixed-income prices could...

An important, recurring problem in statistics involves the determination of strata boundaries for use in stratified sampling. This paper describes a practical method for stratifying a population of observations based on optimal cluster analysis. The goal of stratification is constructing a...

Several financial planning problems are posed as dynamic generalized network models with stochastic parameters. Examples include: asset allocation for portfolio selection, international cash management, and programmed-trading arbitrage. Despite the large size of the resulting stochastic...

This paper presents and tests an effective optimization algorithm for clustering homogeneous data. The algorithm iteratively employs a subgradient method for determining lower bounds and a simple search procedure for determining upper bounds. The overall objective is to assign n objects to m...