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Author: BORNE Pierre
Publisher: Lavoisier
ISBN: 2746288974
Category :
Languages : en
Pages : 338
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Book Description
Optimisation en sciences de l’ingénieur présente les principales méthodes exactes d’optimisation statique et dynamique. Parmi les méthodes décrites, figurent : la programmation linéaire avec plusieurs implémentations et la programmation non linéaire, particulièrement détaillée compte tenu de la grande variété d’algorithmes existants ; la programmation dynamique avec divers exemples d’application ; les réseaux de Hopfield ; l’optimisation en identification des systèmes ; l’optimisation des systèmes dynamiques avec notamment l’application à la commande des processus, l’optimisation des systèmes de grandes dimensions et des systèmes d’information. Didactique, cet ouvrage propose des références permettant au lecteur d’approfondir les diverses méthodes traitées. Lorsque les algorithmes étudiés le permettent, sans trop agrandir les présentations, des exemples d’implémentation sont proposés.
Author: BORNE Pierre
Publisher: Lavoisier
ISBN: 2746288974
Category :
Languages : en
Pages : 338
Get Book Here
Book Description
Optimisation en sciences de l’ingénieur présente les principales méthodes exactes d’optimisation statique et dynamique. Parmi les méthodes décrites, figurent : la programmation linéaire avec plusieurs implémentations et la programmation non linéaire, particulièrement détaillée compte tenu de la grande variété d’algorithmes existants ; la programmation dynamique avec divers exemples d’application ; les réseaux de Hopfield ; l’optimisation en identification des systèmes ; l’optimisation des systèmes dynamiques avec notamment l’application à la commande des processus, l’optimisation des systèmes de grandes dimensions et des systèmes d’information. Didactique, cet ouvrage propose des références permettant au lecteur d’approfondir les diverses méthodes traitées. Lorsque les algorithmes étudiés le permettent, sans trop agrandir les présentations, des exemples d’implémentation sont proposés.
Author: Dumitru Popescu
Publisher: John Wiley & Sons
ISBN: 1786300141
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.
Author: Pierre Borne
Publisher:
ISBN: 9782746238978
Category :
Languages : fr
Pages : 332
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 876
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Book Description
Author: The Organizing Committee of the 16th ICSMGE
Publisher: IOS Press
ISBN: 1614996563
Category : Technology & Engineering
Languages : en
Pages : 3742
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Book Description
The 16th ICSMGE responds to the needs of the engineering and construction community, promoting dialog and exchange between academia and practice in various aspects of soil mechanics and geotechnical engineering. This is reflected in the central theme of the conference 'Geotechnology in Harmony with the Global Environment'. The proceedings of the conference are of great interest for geo-engineers and researchers in soil mechanics and geotechnical engineering. Volume 1 contains 5 plenary session lectures, the Terzaghi Oration, Heritage Lecture, and 3 papers presented in the major project session. Volumes 2, 3, and 4 contain papers with the following topics: Soil mechanics in general; Infrastructure and mobility; Environmental issues of geotechnical engineering; Enhancing natural disaster reduction systems; Professional practice and education. Volume 5 contains the report of practitioner/academic forum, 20 general reports, a summary of the sessions and workshops held during the conference.
Author: Philip W. Hemily
Publisher: Oxford University Press, USA
ISBN:
Category : Science
Languages : en
Pages : 434
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Book Description
Author: Philip W. Hemily
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 432
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Book Description
Author: Xavier Gandibleux
Publisher: Springer Science & Business Media
ISBN: 0306481073
Category : Business & Economics
Languages : en
Pages : 515
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Book Description
The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process. MCDM consists mostly of two branches, multiple criteria optimization and multi-criteria decision analysis (MCDA). While MCDA is typically concerned with multiple criteria problems that have a small number of alternatives often in an environment of uncertainty (location of an airport, type of drug rehabilitation program), multiple criteria optimization is typically directed at problems formulated within a mathematical programming framework, but with a stack of objectives instead of just one (river basin management, engineering component design, product distribution). It is about the most modern treatment of multiple criteria optimization that this book is concerned. I look at this book as a nicely organized and well-rounded presentation of what I view as ”new wave” topics in multiple criteria optimization. Looking back to the origins of MCDM, most people agree that it was not until about the early 1970s that multiple criteria optimization c- gealed as a field. At this time, and for about the following fifteen years, the focus was on theories of multiple objective linear programming that subsume conventional (single criterion) linear programming, algorithms for characterizing the efficient set, theoretical vector-maximum dev- opments, and interactive procedures.
Author: Michael Unser
Publisher: Cambridge University Press
ISBN: 1107058546
Category : Computers
Languages : en
Pages : 387
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Book Description
A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms.
Author: Gintautas Dzemyda
Publisher: Springer Nature
ISBN: 3030392503
Category : Computers
Languages : en
Pages : 325
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Book Description
This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.
