SIMULATION: Transactions of The Society for Modeling and Simulation International

Bui, Tien D.

doi: 10.1177/003754977602600402pmid: N/A

Yaffe, L.G.; Mode, V.A.; Sisson, D.H.; McMillan, G.G.

doi: 10.1177/003754977602600403pmid: N/A

This paper discusses a computer model of a general spectroscopic optical system that gives the user freedom to analyze a wide variety of arrangements of optical surfaces between a light source and a detec tor. The source may be a point source, or an emitting volume with a linear or nonlinear intensity profile. The optical surfaces may absorb, reflect, refract, filter, or transmit photons. This model has been used to calculate instrument correction factors for fluorescence systems. The model yields results that agree with experimental results.

Flory, John E.; Pearce, Meredith A.; Hunter, Peter J.; Mosman, Nancy J.

doi: 10.1177/003754977602600404pmid: N/A

Most regional transportation modeling studies have focused on microlevel phenomena operating within the region. In contrast, the model presented in this paper utilizes a hierarchical causality approach to examine the impact of higher-level (i.e., national) policies on macrolevel regional transportation characteristics. Specifically, the individual and joint effects of national trends in gasoline price, transit funding, and fuel economy of automobiles are examined with respect to their influence on two Sacramento regional variables: transit usage and transportation fuel consumption. The authors con clude that given the uncertain future of causal forces that are beyond the region's control (e.g., gasoline price), a macrolevel analysis may be a more judicious use of limited transportation planning resources.

Leventhal, Lance A.

doi: 10.1177/003754977602600405pmid: N/A

Wozny, Michael J.

doi: 10.1177/003754977602600407pmid: N/A

Two applications are presented which illustrate some of the array features available in CSMP III. The applications show that the array statements not only simplify the programming aspects of systems described in vector-matrix form, but also provide a concise conceptual framework for interpreting the geometrical nature of such problems.

doi: 10.1177/003754977602600408pmid: N/A

Tang, I.

doi: 10.1177/003754977602600409pmid: N/A

A method is developed for the analog computer using a minimization process to find quadratic factors of a polynomial.

Bernard, James E.

doi: 10.1177/003754977602600410pmid: N/A