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[null,"1.","Record Nr.",null,"UNINA990009389300403321"]
[null,null,"Autore",null,"Wheeler, Alfred George Jr."]
[null,null,"Titolo",null,"Biology of the plant bugs (Hemiptera: Miridae) : pests, predators, opportunists / Alfred G. Wheeler Jr. ; with a foreword by Sir T. Richard E. Southwood"]
[null,null,"Pubbl/distr/stampa",null,"Ithaca, N.Y. ; London, : Comstock, 2001"]
[null,null,"ISBN",null,"0-8014-3827-6"]
[null,null,"Descrizione fisica",null,"xv, 507 p., [24] p. di tav. : ill. ; 29 cm"]
[null,null,"Disciplina",null,"595.7"]
[{"$nulls":4},"595.754"]
[null,null,"Locazione",null,"FAGBC"]
[null,null,"Collocazione",null,"60 595.754 WHEA 2010"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910739423703321"]
[null,null,"Autore",null,"Benatti Fabio"]
[null,null,"Titolo",null,"Dynamics, Information and Complexity in Quantum Systems / / by Fabio Benatti"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-34248-8"]
[null,null,"Edizione",null,"[2nd ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (620 pages)"]
[null,null,"Collana",null,"Theoretical and Mathematical Physics, , 1864-5887"]
[null,null,"Disciplina",null,"530.12"]
[null,null,"Soggetti",null,"Quantum theory"]
[{"$nulls":4},"Dynamics"]
[{"$nulls":4},"System theory"]
[{"$nulls":4},"Quantum computing"]
[{"$nulls":4},"Statistical physics"]
[{"$nulls":4},"Quantum Physics"]
[{"$nulls":4},"Dynamical Systems"]
[{"$nulls":4},"Complex Systems"]
[{"$nulls":4},"Quantum Information"]
[{"$nulls":4},"Statistical Physics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Classical Dynamics and Ergodic Theory -- Dynamical Entropy and Information -- Algorithmic Complexity -- Machine Learning -- Quantum Mechanics of Finite Degrees of Freedom -- Quantum Information Theory -- Quantum Mechanics of Infinite Degrees of Freedom -- Quantum Dynamical Entropies -- Quantum Algorithmic Complexities -- Quantum Machine Learning."]
[null,null,null,"Sommario/riassunto","This second edition of Dynamics, Information and Complexity in Quantum Systems widens its scope by focussing more on the dynamics of quantum correlations and information in microscopic and mesoscopic systems, and their use for metrological and machine learning purposes. The book is divided into three parts: Part One: Classical Dynamical Systems Addresses classical dynamical systems, classical dynamical entropy, and classical algorithmic complexity. Includes a survey of the theory of simple perceptrons and their storage capacity. Part Two: Quantum Dynamical Systems Focuses on the "]
[{"$nulls":4},"dynamics of entanglement under dissipative dynamics and its metrological use in finite level quantum systems. Discusses the quantum fluctuation approach to large-scale mesoscopic systems and their emergent dynamics in quantum systems with infinitely many degrees of freedom. Introduces a model of quantum perceptron whose storage capacity is computed and compared with the classical one. Part Three: Quantum Dynamical Entropies and Complexities Devoted to quantum dynamical entropies and algorithmic complexities. This book is meant for advanced students, young and senior researchers working in the fields of quantum statistical mechanics, quantum information, and quantum dynamical systems. It is self-contained, and the only prerequisites needed are a standard knowledge of statistical mechanics, quantum mechanics, and linear operators on Hilbert spaces."]
[null,"3.","Record Nr.",null,"UNINA9910346670203321"]
[null,null,"Autore",null,"Liu Jinfeng"]
[null,null,"Titolo",null,"New Directions on Model Predictive Control / Jinfeng Liu, Helen E Durand"]
[null,null,"Pubbl/distr/stampa",null,"MDPI - Multidisciplinary Digital Publishing Institute, 2019"]
[{"$nulls":4},"Basel, Switzerland : , : MDPI, , 2019"]
[null,null,"ISBN",null,"9783038974215"]
[{"$nulls":4},"3038974218"]
[null,null,"Descrizione fisica",null,"1 electronic resource (230 p.)"]
[null,null,"Soggetti",null,"History of engineering and technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Model predictive control (MPC) is an advanced control design used in many industries worldwide.  An MPC selects control actions which are optimal with respect to a given performance metric as well as any physically-motivated constraints. MPC has therefore gained significant research attention over the past several decades. Advances in MPC continue to unlock its potential to solve a wide variety of practical issues. This book presents some of the state-of-the-art in MPC design from theoretical and applications perspectives. It covers a broad spectrum of MPC application areas, reviewing applications as diverse as air conditioning, pharmaceutical manufacturing, mineral column flotation, actuator faults, and hydraulic fracturing, while also highlighting recent theoretical advancements in control technology that integrate it with data-driven models, zone tracking, or process safety and cybersecurity. Both centralized and distributed MPC formulations are presented. The purpose of this book is to assemble a collection of current research in MPC that handles practically-motivated theoretical issues as well as recent MPC applications, with the aim of highlighting the significant potential benefits of new MPC theory and design."]