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Quantitative Health Risk Analysis Methods : Modeling the Human Health Impacts of Antibiotics Used in Food Animals
It represents a giant leap forward, helping to provide such a standard. Notable improvements and increased scientific rigor in public health risk assessment and risk management can be expected from the insightful approaches lucidly described in this book
Quantitative Economic Policy : Essays in Honour of Andrew Hughes Hallett
Quantitative economic policy and econometrics were developed along with macroeconomics in the 1930s. Econometric techniques and models are still being used extensively in the business of forecasting and policy advice. In particular, policy simulations with econometric models have become standard tools for evaluating and designing macroeconomic stabilization policies. For instance, such studies provided important arguments for the popularization of the recent steps towards European integration such as the European Single Market, the European Monetary Union, and the Enlargement of the European Union. In this book, some recent advances in the theory and applications of quantitative economic policy are presented, with particular emphasis on fiscal and monetary policies in a European and global context. Andrew Hughes Hallett, a pioneer and major scientist in quantitative economic policy analysis, is being honoured by this volume, whose contributors are among his friends and former students.
Quality Measures in Data Mining
This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee.
Quality and Reliability of Large-Eddy Simulations
Computational resources have developed to the level that, for the first time, it is becoming possible to apply large-eddy simulation (LES) to turbulent flow problems of realistic complexity. Many examples can be found in technology and in a variety of natural flows. This puts issues related to assessing, assuring, and predicting the quality of LES into the spotlight. Several LES studies have been published in the past, demonstrating a high level of accuracy with which turbulent flow predictions can be attained, without having to resort to the excessive requirements on computational resources imposed by direct numerical simulations. However, the setup and use of turbulent flow simulations requires a profound knowledge of fluid mechanics, numerical techniques, and the application under consideration.
Python Scripting for Computational Science
Numerous readers of the second edition have noti?ed me about misprints and possible improvements of the text and the associated computer codes. The resulting modifications have been incorporated in this new edition and its accompanying software. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly di?erent syntax compared to the old Numeric implementation, which was used in the previous editions. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and 10.
Python Scripting for Computational Science
Addresses primarily a CSE (computational science and engineering) audience. … gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community. it's is excellent for people in computational sciences wanting to learn Python, or for people new to numerical computations. Python is an exciting programming language (scripting language to be specific) allowing rapid application development. … the aim of the present book is … learning how to program in Python. With it’s 760 pages it offers many examples and tips. … meets its goals in a convincing way. It provides a very good start to do numerical computations with Python.
Pyomo — Optimization Modeling in Python
Illustrates the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models. The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models.
Public systems modeling : Methods for identifying and evaluating alternative plans and policies
This is an book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts.
Public Goods, Environmental Externalities and Fiscal Competition : Selected Papers on Competition, Efficiency, and Cooperation in Public Economics by Henry Tulkens
The collection is structured in four parts: I. Decentralized resource allocation processes for public and private goods / II. Environment, public goods and externalities / III. Efficiency analysis / IV. Fiscal competition and optimality The four pictures above evoke a key concept, method or model used in each of these four parts: > MDP-type processes to determine feasible paths to efficiency and coalitional stability. > CLIMNEG World Simulation model to explore alternative environmental scenarios for the planet. > Free Disposal Hull efficiency analysis to drop convexity and help deal with outliers. > Non Cooperative Fiscal Equilbria to characterize the outcomes of fiscal competition
Provenance and Annotation of Data ; International Provenance and Annotation Workshop, IPAW 2006, Chicago, Il, USA, May 3-5, 2006, Revised Selected Papers
This book constitutes the thoroughly referred post-proceedings of the International Provenance and Annotation Workshops, IPAW 2006, held in Chicago, Il, USA in May 2006. The 26 revised full papers presented together with two keynote papers were carefully selected for presentation during two rounds of reviewing and improvement
Protection of Materials and Structures from the Space Environment ; ICPMSE-7
The book is targeting organizations and individuals involved with space material selction, their reliability and influence of space environmental effects on materials and structures.
Protection of Civilian Infrastructure from Acts of Terrorism
The objective of the Workshop on Protection of Civilian Infrastructure From Acts of Terrorism was to lay the foundation for a risk-informed - proach to modeling, analyzing, predicting, managing, and controlling mul- sector Infrastructure networks in the face of human threats and errors.
Progressive collapse resilience of concrete structures : Mechanisms, simulations and experiments
The book introduces the comprehensive analysis methodology regarding progressive collapse, and the critical issues may happen in concrete structures. Main topics include: the influential parameters of the development of the main load-resisting mechanisms; the dynamic effects with sudden column removal scenarios; the contribution of non-structural components to improve the resilience of concrete structures; uncertainties in progressive collapse analysis.
Progress in Understanding of Polymer Crystallization
The present volume addresses issues such as: novel general views and concepts which help to advance our understanding of polymer crystallisation, nucleation phenomena, long living melt structures affecting crystallization, confinement effects on crystallization, crystallization in flowing melts, fluid mobility restrictions caused by crystallites, the role of mesophases in the crystal formation.
Progress in Turbulence 2 ; Proceedings of the iTi Conference in Turbulence 2005
Besides turbulence there is hardly any other scientific topic which has been considered as a prominent scientific challenge for such a long time. The special interest in turbulence is not only based on it being a difficult scientific problem but also on its meaning in the technical world and our daily life. This carefully edited book comprises recent basic research as well as research related to the applications of turbulence. Therefore, both leading engineers and physicists working in the field of turbulence were invited to the iTi Conference on Turbulence held in Bad Zwischenahn, Gemany 25th - 28th of September 2005. Discussed topics include, for example, scaling laws and intermittency, thermal convection, boundary layers at large Reynolds numbers, isotropic turbulence, stochastic processes, passive and active scalars, coherent structures, numerical simulations, and related subjects.
Progress in Turbulence
This book comprises recent basic research as well as research related to the applications of turbulence. Discussed topics include, for example, scaling laws and intermittency, thermal convection, boundary layers at large Reynolds numbers,...etc.
Progress in Scale Modeling : Summary of the 1st International Symposium on Scale Modeling (ISSM I in 1988) and Selected Papers from Subsequent Symposia (ISSM II in 1997 through ISSM V in 2006)
A selection of seminal papers given at the past International Symposia on Scale Modeling (ISSM). Scale modeling is a simplifying and clarifying tool used by scientists and engineers in many disciplines to help them grasp essential or salient aspects of bewilderingly complex systems, mechanisms and phenomena -- In addition, scale modeling is an approach that offers engineers and designers a new point of view, liberating creative and innovative ideas and solutions. Scale modeling is employed to study weather systems, diffusion of pollution in air or water, chemical process in 3-D turbulent flow, multiphase combustion, flame propagation, biological systems, behavior of materials at nano- and micro- scales and so on.
Progress in Industrial Mathematics at ECMI 2006
ECMI is synonymous with European Mathematics for Industry and organizes successful biannual conferences. The 14th European Conference for Mathematics in Industry held in Leganés (Madrid) focused on Aerospace, Information and Communications, Materials, Energy and Environment, Imaging, Biology and Biotechnology, Life Sciences, Finances and other topics including Education in Industrial Mathematics and web learning. Attendees came from all over the world. Overall, these proceedings give a lively overview of the importance of mathematical modeling, analysis and numerical methods when addressing and solving problems from today’s real world applications.
Progress in Industrial Mathematics at ECMI 2004
It focused on Aerospace, Electronic Industry, Chemical Technology, Life Sciences, Materials, Geophysics, Financial Mathematics and Water flow. The majority of the invited talks on these topics can be found in these proceedings.
Programming Multi-Agent Systems ; Vol. 3346 : 2nd International Workshop ProMAS 2004, New York, NY, July 20, 2004, Selected Revised and Invited Papers
Focusses on a principled way to combine the two dominant paradigms for building multiagent team plans, namely the “belief-desire-intention” (BDI) approach and distributed POMDPs. In this hybrid BDI-POMDP approach, BDI team plans are exploited to improve distributed POMDP tractability and distributed POMDP-based analysis improves BDI team plan performance. Concretely, we focus on role allocation, a fundamental problem in BDI teams – which agents to allocate to the different roles in the team. The hybrid BDI-POMDP approach provides three key contributions. First, unlike prior work in multiagent role allocation, we describe a role allocation technique that takes into account future uncertainties in the domain. The second contribution is a novel decomposition technique, which exploits the structure in the BDI team plans to significantly prune the search space of combinatorially many role allocations. Our third key contribution is a significantly faster policy evaluation algorithm suited for our BDI-POMDP hybrid approach. Finally, we also present experimental results from two domains: mission rehearsal simulation and RoboCupRescue disaster rescue simulation. In the RoboCupRescue domain, we show that the role allocation technique presented in this paper is capable of performing at human expert levels by comparing with the allocations chosen by humans in the actual RoboCupRescue simulation environment.
