Modeling, Evaluating, and Predicting IT Human Resources Performance,
Автор: D. Miner Название: HEALTHCARE`s OUT SICK - PREDICTING A CURE - Solutions that WORK !!!! ISBN: 1138581097 ISBN-13(EAN): 9781138581098 Издательство: Taylor&Francis Рейтинг: Цена: 26530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Healthcare`s Out Sick first defines the `healthcare in crisis` problem. Through real patient experiences, the book describes the difficulties of getting through the maze of complexity among the plethora of `silo providers` which make up the industry.
Автор: Jean-Michel Berg?; Oz Levia; Jacques Rouillard Название: Meta-Modeling ISBN: 1461285801 ISBN-13(EAN): 9781461285809 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Models in system design follow the general tendency in electronics in terms of size, complexity and difficulty of maintenance. While a model should be a manageable representation of a system, this increasing complexity sometimes forces current CAD-tool designers and model writers to apply modeling techniques to the model itself.
Автор: Amit Kumar, Mangey Ram Название: Systems Reliability Engineering: Modeling and Performance Improvement ISBN: 311060454X ISBN-13(EAN): 9783110604542 Издательство: Walter de Gruyter Рейтинг: Цена: 166060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
Автор: Yuan Haiyue, Li Shujun, Rusconi Patrice Название: Cognitive Modeling for Automated Human Performance Evaluation at Scale ISBN: 3030457036 ISBN-13(EAN): 9783030457037 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, we aim to provide readers with a systematic overview of state-of-the-art cognitive modeling software tools and applications and an introduction to a new software framework for facilitating large-scale modeling and simulation of human-performance tasks.
Автор: Jarvis Название: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation ISBN: 3319729705 ISBN-13(EAN): 9783319729701 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings papers from the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2017, held in Denver, Colorado, USA, in November 2017.
Автор: Gribaudo & Lacono Название: Theory And Application Of Multi-Formalism Modeling ISBN: 1466646594 ISBN-13(EAN): 9781466646599 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With complex systems and complex requirements being a challenge that designers must face to reach quality results, multi-formalism modeling offers tools and methods that allow modelers to exploit the benefits of different techniques in a general framework intended to address these challenges.Theory and Application of Multi-Formalism Modeling boldly explores the importance of this topic by gathering experiences, theories, applications, and solutions from diverse perspectives of those involved with multi-formalism modeling. Professionals, researchers, academics, and students in this field will be able to critically evaluate the latest developments and future directions of multi-formalism research.
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