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The possibility of utilizing an interdisciplinary team of operations analysts, frequently working with mathematical techniques rarely employed in criminology, to improve the operations of various crime control activities, is suggested. Procedures for translating typical criminological concerns into more rigorous manipulatable models are presented. Specifically, various applications of mathematical modelling, mathematical programming, game theory, Markov process theory & queing to problems of causality, police operations, courts, treatment & recidivism are explored. It is pointed out that the several mathematical techniques may be used to advantage not only in criminology, but frequently the questions which would be raised in the course of such study would be of broad sociol'al interest. AA.

Cover -- Mathematical Methods in Dynamic Economics -- Contents -- Foreword -- Introduction -- Part I Dynamics without Optimization -- 1 Linear Difference Equations -- 2 Discrete-Time Linear Models -- 3 Nonlinear Difference Equations -- 4 Discrete-Time Nonlinear Models -- 5 Ordinary Differential Equations -- 6 Continuous-Time Models -- Part II Dynamics with Optimization -- 7 Dynamic Programming -- 8 Applications of Dynamic Programming -- 9 Optimal Control -- 10 Optimal Consumption Paths -- Part III Supplements -- Appendix A. Linear Algebra -- Appendix B. Overlapping Generations -- Appendix C. Overlapping Cohorts -- Solutions -- References -- Index of subjects.

This document is a preliminary report on the role that mathematical and statistical methods might play in the defense against terrorist attacks. In no way does this replace the efforts of law enforcement agenices or intelligence activities. The hope is that mathematical techniques can make their efforts more efficient. The ideas enumerated here utilize the notion of probabilistic risk analysis, which was developed for the purpose of assessing the safety of nuclear reactors, as well as randomization and game theory. More extensive work in these directions is contemplated for the future. The author is planning workshops to evaluate the ideas presented here and to elicit additional methodologies that may prove useful in this endeavor.

How does your level of education affect your lifetime earnings profile? Will economic development lead to increased environmental degradation? How does the participation of women in the labor force differ across countries? How do college scholarship rules affect savings?Students come to economics wanting answers to questions like these. While.