Proceedings of the Spring Conference
Author: Woods Schools. Conference
Publisher:
Published: 1935
Total Pages: 64
ISBN-13:
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Author: Woods Schools. Conference
Publisher:
Published: 1935
Total Pages: 64
ISBN-13:
DOWNLOAD EBOOKAuthor: Woods Schools
Publisher:
Published: 1957
Total Pages: 152
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Published: 1978
Total Pages: 177
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DOWNLOAD EBOOKAuthor: University of Pittsburgh. General Assistance Center on School Desegregation and Conflict
Publisher:
Published: 1975*
Total Pages: 142
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DOWNLOAD EBOOKAuthor: Social Science Agricultural Agenda Project. Phase I Workshop
Publisher:
Published: 1987
Total Pages: 384
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DOWNLOAD EBOOKAuthor: Bram Adams
Publisher: Universitätsverlag Potsdam
Published: 2010
Total Pages: 56
ISBN-13: 3869560436
DOWNLOAD EBOOKAspect-oriented programming, component models, and design patterns are modern and actively evolving techniques for improving the modularization of complex software. In particular, these techniques hold great promise for the development of "systems infrastructure" software, e.g., application servers, middleware, virtual machines, compilers, operating systems, and other software that provides general services for higher-level applications. The developers of infrastructure software are faced with increasing demands from application programmers needing higher-level support for application development. Meeting these demands requires careful use of software modularization techniques, since infrastructural concerns are notoriously hard to modularize. Aspects, components, and patterns provide very different means to deal with infrastructure software, but despite their differences, they have much in common. For instance, component models try to free the developer from the need to deal directly with services like security or transactions. These are primary examples of crosscutting concerns, and modularizing such concerns are the main target of aspect-oriented languages. Similarly, design patterns like Visitor and Interceptor facilitate the clean modularization of otherwise tangled concerns. Building on the ACP4IS meetings at AOSD 2002-2009, this workshop aims to provide a highly interactive forum for researchers and developers to discuss the application of and relationships between aspects, components, and patterns within modern infrastructure software. The goal is to put aspects, components, and patterns into a common reference frame and to build connections between the software engineering and systems communities.
Author: Lin Zhang
Publisher: Academic Press
Published: 2019-02-27
Total Pages: 456
ISBN-13: 0128135441
DOWNLOAD EBOOKModel Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism Provides practical methods to improve credibility of models and manage the model lifecycle Helps readers gain an overall understanding of model lifecycle management and analysis Supported by an online ancillary package that includes an instructors and student solutions manual
Author: Min Chen
Publisher: Oxford University Press, USA
Published: 2020
Total Pages: 557
ISBN-13: 0190636688
DOWNLOAD EBOOK"Info-metrics is a framework for rational inference on the basis of limited, or insufficient, information. It is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. Info-metrics has its roots in information theory (Shannon, 1948), Bernoulli's and Laplace's principle of insufficient reason (Bernoulli, 1713) and its offspring the principle of maximum entropy (Jaynes, 1957). It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. Within a constrained optimization setup, info-metrics provides a simple way for modeling and understanding all types of systems and problems. It is a framework for processing the available information with minimal reliance on assumptions and information that cannot be validated. Quite often a model cannot be validated with finite data. Examples include biological, social and behavioral models, as well as models of cognition and knowledge. The info-metrics framework extends naturally for tackling these types of common problems"--