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標(biāo)題: Titlebook: Quantum Physics; A Functional Integra James Glimm,Arthur Jaffe Textbook 19811st edition Springer-Verlag New York Inc. 1981 Finite.Identity. [打印本頁(yè)]

作者: Ferret    時(shí)間: 2025-3-21 19:29
書(shū)目名稱Quantum Physics影響因子(影響力)




書(shū)目名稱Quantum Physics影響因子(影響力)學(xué)科排名




書(shū)目名稱Quantum Physics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Quantum Physics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Quantum Physics被引頻次




書(shū)目名稱Quantum Physics被引頻次學(xué)科排名




書(shū)目名稱Quantum Physics年度引用




書(shū)目名稱Quantum Physics年度引用學(xué)科排名




書(shū)目名稱Quantum Physics讀者反饋




書(shū)目名稱Quantum Physics讀者反饋學(xué)科排名





作者: intelligible    時(shí)間: 2025-3-21 21:06

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作者: 帶來(lái)墨水    時(shí)間: 2025-3-22 16:50
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
作者: epidermis    時(shí)間: 2025-3-22 19:12
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
作者: 厭惡    時(shí)間: 2025-3-23 00:10

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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
作者: 地名表    時(shí)間: 2025-3-23 07:31
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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作者: CON    時(shí)間: 2025-3-23 23:43
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
作者: cumulative    時(shí)間: 2025-3-24 05:54

作者: CBC471    時(shí)間: 2025-3-24 10:28
Classical Statistical Mechanicsction, such as the Lennard-Jones potential or hard sphere potential. Such functions are chosen because they have representative features in common with the true force laws; for example, they may be asymptotically exact in some limiting region. (3) As a result of numerical calculation, based e.g. on
作者: 流浪者    時(shí)間: 2025-3-24 12:44

作者: oracle    時(shí)間: 2025-3-24 18:28
ry 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 978-1-4684-0121-9
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作者: Glucose    時(shí)間: 2025-3-25 00:17
James Glimm,Arthur Jaffeg of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.?.
作者: 接合    時(shí)間: 2025-3-25 06:55

作者: 恃強(qiáng)凌弱的人    時(shí)間: 2025-3-25 08:50
James Glimm,Arthur Jaffe a method for morphing the underlying spatial network to effectively deal with multiple potential conflicts. The spatial-network, which represents a model of the airspace occupied by autonomous aircraft, is mutated with respect to extrapolated human-piloted trajectories, leading to a real-world exec
作者: gruelling    時(shí)間: 2025-3-25 13:32

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作者: 為現(xiàn)場(chǎng)    時(shí)間: 2025-3-26 04:06
n innovation of this work is that sensor configuration is performed by maximizing a so-called task-driven information gain (TDIG) metric, which quantifies uncertainty reduction in the cost of the planned path. Because the TDIG does not have any convenient structural properties, a surrogate function
作者: 商談    時(shí)間: 2025-3-26 07:53
James Glimm,Arthur Jaffeurce allocation with minimum possible intervention from operators. To meet the highly dynamic and extreme performance requirements of these heterogeneous multi-component, multilayer communication infrastructures on latency, data rate, reliability, and other user-defined metrics, these support method
作者: GRILL    時(shí)間: 2025-3-26 10:23
James Glimm,Arthur Jaffeposed of wireless high frequency dynamic strain sensors has been developed and demonstrated using benchtop experiments. The proposed DDDAS architecture, which includes previously developed computational methods, has the potential to enable two-way coupling between estimation of the UAV structural st
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作者: 補(bǔ)助    時(shí)間: 2025-3-26 23:37
James Glimm,Arthur Jaffey suboptimal with respect to a single mission in order to sample the environment and update the model. This tasking reconfigures the observations gathered to target portions of the environment relevant to mission execution. Initial simulations show that this approach is able to reduce error in the m
作者: Senescent    時(shí)間: 2025-3-27 05:05

作者: 橫截,橫斷    時(shí)間: 2025-3-27 08:12
a dynamic distributed protocol for reactive conflict management that serves a similar purpose, albeit functioning at a time-horizon in between strategic deconfliction and sensor-based conflict management. This DDDAS inspired approach obviates the need for any centralized control by having each UAS
作者: myalgia    時(shí)間: 2025-3-27 13:31
Quantum Theory Planck’s constant and . is the speed of light. Quantum field theory is the combination of quantum mechanics with special relativity. It contains both parameters . and ., and it has two distinct degenerate limits: . → ∞ and . → 0. The classical limit of a quantum field (. → 0) actually gives rise to
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作者: surrogate    時(shí)間: 2025-3-27 18:48
The Feynman—Kac Formulal-known special functions, or can the spectra be written in closed form. Thus calculations in quantum mechanics are made by some approximate method, such as computing the first few terms in a formal power series. For example, series in coupling constants are known as perturbation theory; the series
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作者: incubus    時(shí)間: 2025-3-28 02:56
Estimates Independent of Dimensionfinite volume .(.). measures of Chapter 8, but the same methods apply more generally. For example, applied to lattice fields of arbitrary dimension, the bounds of this chapter do not depend on the lattice spacing. This is in contrast to the ultraviolet bounds of Chapter 8, which depend strongly on d
作者: 緊張過(guò)度    時(shí)間: 2025-3-28 07:14
Fields Without Cutoffsons apply to general semibounded .; see also Chapter 18. In this chapter, the problem of existence is separated from regularity. We prove the existence of a Euclidean measure ., obtained as an infinite volume limit of the finite volume measures of Chapter 8. The proof uses monotone convergence and u
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Phase Transitions 6.1, . can be decomposed into irreducible components ., called ., each of which satisfies the axioms OS0-4. The pure phases are characterized by the property OS4 of a unique vacuum, and . is itself a pure phase if and only if its vacuum state is unique.
作者: Clinch    時(shí)間: 2025-3-29 04:07
s, 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 transcen
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Phase Transitions and Critical Pointsstrongly correlated to a finite number of ξ., j ≠ .. The weak coupling situations are handled by expansions, as in Chapter 2, and should be regarded as perturbations of an infinite tensor product, zero interaction model.
作者: 稀釋前    時(shí)間: 2025-3-29 22:50

作者: Allergic    時(shí)間: 2025-3-30 00:19
Estimates Independent of Dimensionhe bounds of this chapter do not depend on the lattice spacing. This is in contrast to the ultraviolet bounds of Chapter 8, which depend strongly on dimension. Section 12.2, i.e. integration by parts, is similarly independent of dimension.
作者: 植物群    時(shí)間: 2025-3-30 04:23
Regularity and Axiomsparts identities generate the perturbation expansion of Sections 8.4, 9.4 as well as the high and low temperature expansions studied in Part III and in the literature. These tools allow a detailed investigation of the local (ultraviolet) singularities of the models on the one hand and the large distance (infrared) decoupling on the other.
作者: Amnesty    時(shí)間: 2025-3-30 10:35
Scattering Theory: Time-Independent Methodsle representation in terms of time-ordered correlation functions. This representation is convenient, and it allows, e.g., the construction of perturbation series, the decomposition into connected components, and the study of momentum space analyticity.
作者: 令人不快    時(shí)間: 2025-3-30 15:17
The Magnetic Moment of the Electrongnetization of m). Thus . where . is a vector along the axis of .. The vector . is the magnetic moment of .. Equivalent to (15.1.1) is the statement that . has a potential energy — . · . in the magnetic field. This energy is minimized by aligning . with ..
作者: optional    時(shí)間: 2025-3-30 18:11

作者: intimate    時(shí)間: 2025-3-31 00:17
Field TheoryIn this chapter we introduce the notion of quantum field on a technical level. This chapter is the end of the introductory material; it also can be regarded as the basic background for Part II. Readers already familiar with quantum theory and statistical mechanics may start here.
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作者: GLIDE    時(shí)間: 2025-3-31 07:44
Quantization = Integration over Function SpaceThe construction of .(.). fields begins with this chapter; Chapters 11–12 conclude the construction. We develop efficient methods for computing and estimating integrals . of polynomials . = .(.) with respect to a Gaussian measure ..




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