Автор: Paolo Calafiura Название: Artificial intelligence for high energy physics / ISBN: 9811234027 ISBN-13(EAN): 9789811234026 Издательство: World Scientific Publishing Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: The Higgs boson discovery at the Large Hadron Collider in 2012 relied on boosted decision trees. Since then, high energy physics (HEP) has applied modern machine learning (ML) techniques to all stages of the data analysis pipeline, from raw data processing to statistical analysis. The unique requirements of HEP data analysis, the availability of high-quality simulators, the complexity of the data structures (which rarely are image-like), the control of uncertainties expected from scientific measurements, and the exabyte-scale datasets require the development of HEP-specific ML techniques. While these developments proceed at full speed along many paths, the nineteen reviews in this book offer a self-contained, pedagogical introduction to ML models' real-life applications in HEP, written by some of the foremost experts in their area.
Автор: Micael Couceiro; Pedram Ghamisi Название: Fractional Order Darwinian Particle Swarm Optimization ISBN: 3319196340 ISBN-13(EAN): 9783319196343 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages.
Автор: Ecker Gerhard Название: Particles, Fields, Quanta: From Quantum Mechanics to the Standard Model of Particle Physics ISBN: 303014478X ISBN-13(EAN): 9783030144784 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to the current state of our knowledge about the structure of matter. Gerhard Ecker describes the development of modern physics from the beginning of the quantum age to the standard model of particle physics, the fundamental theory of interactions of the microcosm. The focus lies on the most important discoveries and developments, e.g. of quantum field theory, gauge theories and the future of particle physics. The author also emphasizes the interplay between theory and experiment, which helps us to explore the deepest mysteries of nature.'Particles, Fields, Quanta' is written for everyone who enjoys physics. It offers high school graduates and students of physics in the first semesters an encouragement to understand physics more deeply. Teachers and others interested in physics will find useful insights into the world of particle physics. For advanced students, the book can serve as a comprehensive preparation for lectures on particle physics and quantum field theory. A brief outline of the mathematical structures, an index of persons with research focuses and a glossary for quick reference of important terms such as gauge theory, spin and symmetry complete the book.From the foreword by Michael Springer:“The great successes and the many open questions this book describes illustrate how immensely complicated nature is and nevertheless how much we already understand of it.”The authorGerhard Ecker studied theoretical physics with Walter Thirring at the University of Vienna. His research focus has been on theoretical particle physics, in particular during several long-term visits at CERN, the European Organisation for Nuclear Research in Geneva. In 1986 he was promoted to Professor of Theoretical Physics at the University of Vienna. Since 1977 he has given both basic lectures in theoretical physics and advanced courses on different topics in particle physics, e.g., quantum field theory, symmetry groups in particle physics and renormalisation in quantum field theory.
Автор: Branko Ristic Название: Particle Filters for Random Set Models ISBN: 148998884X ISBN-13(EAN): 9781489988843 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. Describes applications in multi-target systems, video tracking of pedestrians and more.
Автор: van den Berg, M.E. Название: The Chinese Particle Le ISBN: 0700714618 ISBN-13(EAN): 9780700714612 Издательство: Taylor&Francis Рейтинг: Цена: 142910.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition ISBN: 3642437621 ISBN-13(EAN): 9783642437625 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.
Автор: Shudo Название: The Presupposition and Discourse Functions of the Japanese Particle Mo ISBN: 1138979295 ISBN-13(EAN): 9781138979291 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: First Published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.
Автор: Jun Sun, Choi-Hong Lai, Xiao-Jun Wu Название: Particle Swarm Optimisation: Classical and Quantum Perspectives ISBN: 1439835764 ISBN-13(EAN): 9781439835760 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Нет в наличии. Описание: Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d
Автор: , Barros Luiz Otбvio Название: 100 Phrasal Verbs to Learn for Life: Vocabulary Expansion for High-Intermediate and Advanced Students ISBN: 6500134818 ISBN-13(EAN): 9786500134810 Издательство: Неизвестно Цена: 22980.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: If you're a high-intermediate to advanced student of English as a foreign or second language, and you sometimes feel like giving up on phrasal verbs, you're not alone. Phrasal verbs can be a nightmare for EFL/ESL students of all ages and levels, and the lists of phrasal verbs with meanings and examples you find on the Internet aren't always useful. 100 Phrasal Verbs to Learn for Life, written by best-selling author Luiz Otбvio Barros, offers a fresh approach to helping B2, C1, TOEFL/IELTS, and Cambridge First/Advanced students learn phrasal verbs more effectively. Here's what makes the book unique: - Instead of teaching hundreds of low-frequency phrasal verbs, we focus on 100 really common ones and teach them really well. - The phrasal verbs are grouped by topic so you can remember them more easily. - Each phrasal verb is supported by an average of 15 examples so you can really understand it. - All of the 1,500 example sentences were adapted from authentic sources (newspapers, blogs, TV shows, etc.) so you can learn how each phrasal verb is used in the real world. - The number of meanings per lesson is limited so you don't get confused. - 100 Phrasal Verbs to Learn for Life is light on terminology so you don't get distracted by terms like "type 1" or "separable/inseparable." - There are dozens of exercises to help you check your progress - also available online, free of charge! Phrasal verbs can be easier to learn than you think, especially at this level. So, why not give this book a chance and click/tap on look inside? 100 Phrasal Verbs to Learn for Life might be just what you need.
Автор: David Brodsky Название: French Verbs Made Simple(r) ISBN: 0292714726 ISBN-13(EAN): 9780292714724 Издательство: Wiley EDC Рейтинг: Цена: 18290.00 T Наличие на складе: Поставка под заказ. Описание:
It's time for a new approach to learning French verbs. Unlike popular verb guides that require the rote memorization of hundreds of verb forms, this book clearly explains the rules that govern the conjugation of all classes of French verbs—especially the irregular ones that give second-language learners the most trouble. These straightforward, easy-to-understand rules for conjugating French verbs are effective learning tools for both beginning students and more advanced speakers who want to perfect their usage of French verb forms.
French Verbs Made Simple(r) has many helpful features that you won't find in any other verb guide:
Clear explanations of all verb tenses and forms.
The simple patterns and rules that govern the conjugation of all verbs—including those verbs whose irregularities follow patterns that can be easily learned.
A detailed discussion of how each verb form is used, with numerous examples.
A full explanation of whether a verb should be conjugated with avoir or être, and the conditions under which the past participle is variable—two of the thorniest problems for students of French.
An extended treatment of the subjunctive that will help you understand why it is used in some situations but not others.
Complete conjugations for 57 basic model verbs (along with 27 "variants") and a comprehensive listing of some 6,200 verbs that indicates which of the models each verb follows.
Going well beyond any other guide in the clarity and detail of its explanations—as well as the innovative manner in which individual verbs are linked to model conjugations—French Verbs Made Simple(r) is the only guide to French verbs a learner needs.
Автор: Jiaxuan, Shen Название: Nouns and Verbs in Chinese I ISBN: 1032473371 ISBN-13(EAN): 9781032473376 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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