Suchergebnisse

That California has a Seismic Safety Commission, responsible for establishing and enforcing seismic engineering and geology codes, and that the federal government has support a wide-ranging (if under-funded) program of earthquake research, would likely be of little surprise to a well-informed citizen of California. How this came to be from 1906 to 1977 is the topic of Carl-Henry Geschwind's thorough and well-documented study of the history of earthquakes in California. The book documents the development of scientific understanding of California earthquakes and examines the evolution of the "regulatory-state" apparatus of enforcing an ever increasingly strict set of building codes in the state. Geschwind adeptly leads the reader from the great San Francisco earthquake of 1906 and the nascent science of seismology, and examines how science and commercial interests clashed over safety regulations sixty years before Ronald Regan became governor.

ABSTRACTCreative problem solving is seldom addressed directly in the decision sciences literature. The first half of this paper reviews current thinking about creativity and its educational importance. The remainder addresses creative problem‐solving processes and, in particular, the process developed by Parnes, Noller and Biondi [24] and Osborn [23]. This process has been integrated into an OR/MS problem‐solving course which is described. Conclusions and implications for decision sciences education and practice in general are discussed.

ABSTRACTThis paper explores linear programming‐like sensitivity analysis in decision theory. In particular, the paper considers the sensitivity of an optimal decision to changes in probabilities of the states of nature and the development of "confidence spheres" to bound arbitrary parametric changes in the probability vector. Such information can be used to assess the accuracy required in assigning probabilities and the confidence in the maximumutility decision.

AbstractThe simplex method is interpreted as a labeling procedure for certain classes of multicommodity flow problems in a manner similar to that for single commodity networks. As opposed to general multicommodity algorithms, no explicit matrix inversion is required; all simplex operations are performed graph‐theoretically.

One of the 10 earliest chains of dailies in the U.S., Clover Leaf grew with the help of Scripps and the expansion of rural free delivery. Ironically, it declined in the period of greatest chain newspaper growth.