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Titlebook: Quantum Physics; A Functional Integra James Glimm,Arthur Jaffe Textbook 19811st edition Springer-Verlag New York Inc. 1981 Finite.Identity.

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書目名稱Quantum Physics
副標題A Functional Integra
編輯James Glimm,Arthur Jaffe
視頻videohttp://file.papertrans.cn/782/781405/781405.mp4
圖書封面Titlebook: Quantum Physics; A Functional Integra James Glimm,Arthur Jaffe Textbook 19811st edition Springer-Verlag New York Inc. 1981 Finite.Identity.
描述This book is addressed to one problem and to three audiences. The problem is the mathematical structure of modem physics: statistical physics, quantum mechanics, and quantum fields. The unity of mathemati- cal structure for problems of diverse origin in physics should be no surprise. For classical physics it is provided, for example, by a common mathematical formalism based on the wave equation and Laplace‘s equation. The unity transcends mathematical structure and encompasses basic phenomena as well. Thus particle physicists, nuclear physicists, and con- densed matter physicists have considered similar scientific problems from complementary points of view. The mathematical structure presented here can be described in various terms: partial differential equations in an infinite number of independent variables, linear operators on infinite dimensional spaces, or probability theory and analysis over function spaces. This mathematical structure of quantization is a generalization of the theory of partial differential equa- tions, very much as the latter generalizes the theory of ordinary differential equations. Our central theme is the quantization of a nonlinear partial differential
出版日期Textbook 19811st edition
關鍵詞Finite; Identity; Phase; Physics; Wave; calculus; equation; function; proof; scattering theory; theorem
版次1
doihttps://doi.org/10.1007/978-1-4684-0121-9
isbn_ebook978-1-4684-0121-9
copyrightSpringer-Verlag New York Inc. 1981
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James Glimm,Arthur Jaffety of executing computational tasks in a distributed manner, including those encountered in edge computing (EC). Both, 5G & B5G and EC environments present complexities and dynamicity in their multi-level and multimodal infrastructures. DDDAS-based design and adaptive and optimized management of the
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James Glimm,Arthur Jaffe significant challenges to robust and accurate perception in operational environments. Physics-aware ML is an emerging field that strives to integrate physics-based models with data-driven deep learning (DL) to reap the benefits of both approaches. Physics-based models allow for the prediction of th
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James Glimm,Arthur Jaffemmunication and computational capabilities that will advance many large-scale critical applications in the critical domains of manufacturing, extended reality, power generation and distribution, water, agriculture, transportation, healthcare, and defense and security, among many others. However, for
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James Glimm,Arthur Jaffethis testbed is on enabling a self-aware unmanned aerial vehicle (UAV). Self-awareness in this context refers to the ability of the vehicle to collect information about itself and use this information to alter the way it completes missions via on-board dynamic decision-making. Prior work has focused
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