標(biāo)題: Titlebook: Oscillations and Waves; Fritz K. Kneubühl Textbook 1997 Springer-Verlag Berlin Heidelberg 1997 Chaos.Oscillation.Transformation.Wave.convo [打印本頁(yè)] 作者: 有靈感 時(shí)間: 2025-3-21 17:51
書(shū)目名稱(chēng)Oscillations and Waves影響因子(影響力)
書(shū)目名稱(chēng)Oscillations and Waves影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Oscillations and Waves網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Oscillations and Waves網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Oscillations and Waves被引頻次
書(shū)目名稱(chēng)Oscillations and Waves被引頻次學(xué)科排名
書(shū)目名稱(chēng)Oscillations and Waves年度引用
書(shū)目名稱(chēng)Oscillations and Waves年度引用學(xué)科排名
書(shū)目名稱(chēng)Oscillations and Waves讀者反饋
書(shū)目名稱(chēng)Oscillations and Waves讀者反饋學(xué)科排名
作者: 我不明白 時(shí)間: 2025-3-21 21:37 作者: MILK 時(shí)間: 2025-3-22 03:44
Free Oscillations,nstitute an intermediate between these two types of oscillators. They act as linear oscillators except for momentary switching. Furthermore, special emphasis is put on linear parametric and classical nonlinear oscillators such as the van der Pol oscillator.作者: Evolve 時(shí)間: 2025-3-22 04:56 作者: vector 時(shí)間: 2025-3-22 08:51
Instabilities & Chaos,n the form of a bifurcation. This can imply changes of stability, generation of subharmonics by period doubling, new kinds of motion or chaos. Chaos can be produced even by completely deterministic systems. In this chapter these scenarios are discussed with special emphasis on . and . and exemplified by the continuous . and by the discrete ..作者: 溝通 時(shí)間: 2025-3-22 15:59
Nonlinear Waves,rmined by their basic differential equations. As a consequence periods and wavelengths of periodic nonlinear waves depend on their amplitude. Typical forms of nonlinear waves are the . where the deterioration of the wave by dispersion is compensated by nonlinearity. Examples are . and periodic solitary waves.作者: Erythropoietin 時(shí)間: 2025-3-22 17:56 作者: floodgate 時(shí)間: 2025-3-22 23:18
Textbook 1997f physics, mathematics, electrical engineering, chemistry and natural sciences I missed an introductory comprehensive book on the mathematics of linear and nonlinear oscillations and waves from the point of view of physicists and engineers. Oscillations and waves are the playground for all kinds of 作者: 呼吸 時(shí)間: 2025-3-23 05:01 作者: 膽小鬼 時(shí)間: 2025-3-23 07:09
on their historical interactions. However, these methods have some drawbacks as they require an effective generative model and training procedure to produce satisfactory results. These disadvantages include: 1) generative models lacking better generators for generative item sequences that user may b作者: EVEN 時(shí)間: 2025-3-23 12:29
Fritz K. Kneubühlically employ a single structure augmentation to generate contrastive views. Recent research suggests feature augmentation-adding uniform noise perturbations in the feature space-as a replacement for structure augmentation in contrastive learning. This augmentation can mitigate popularity bias and a作者: 宮殿般 時(shí)間: 2025-3-23 16:06
Fritz K. Kneubühltract user preferences from interaction records, they frequently neglect the user’s logical requirements, which are embedded in the logical relations between items and entities. Existing methods that account for user’s logical requirements employ neural networks to mimic logical operators, failing t作者: bisphosphonate 時(shí)間: 2025-3-23 19:02 作者: Monolithic 時(shí)間: 2025-3-24 01:32
Fritz K. Kneubühle of applications and potentially high value. In contrast to the conventional time series prediction tasks, the intrinsic characteristics of stocks render the incorporation of additional information a crucial factor in the prediction of stock movements. Inter-stock relationships and financial texts 作者: Abutment 時(shí)間: 2025-3-24 04:15 作者: Overdose 時(shí)間: 2025-3-24 07:41 作者: 膠水 時(shí)間: 2025-3-24 14:13
Fritz K. Kneubühlstructure has made significant progress in the field of time series forecasting, its forecasting performance for wind power data is a concern due to the high variability and stochasticity of short-term wind power data. To address this issue, this study proposes a novel wind power forecasting model, 作者: Legion 時(shí)間: 2025-3-24 15:55
Fritz K. Kneubühllely on the features of individual nodes. Recent advancements in graph-based methods allow for the consideration of features across related nodes, enhancing predictive accuracy. Especially, Graph Neural Networks (GNNs) have shown high performance on graph-based fraud detection tasks. However, it pre作者: 廢除 時(shí)間: 2025-3-24 21:20 作者: 脆弱么 時(shí)間: 2025-3-24 23:59
me that supports complex computation?and has better performance than BFV. This gives CKKS an advantage?when applied to machine learning. However, existing secure inference frameworks based on homomorphic encryption are mainly adopted in?BFV or BGV, as these schemes have more batching slots than CKKS作者: –FER 時(shí)間: 2025-3-25 06:26
Introduction, active in research and engineers involved in advanced development. It constitutes a comprehensive introduction to the various mathematical aspects of oscillations and waves from the point of view of physicists and engineers. Oscillations and waves are basic phenomena in nature as well as in enginee作者: Orchiectomy 時(shí)間: 2025-3-25 10:45
Free Oscillations,rs. Linear and nonlinear oscillators are discussed separately because of their different behavior. Also considered are relay oscillators since they constitute an intermediate between these two types of oscillators. They act as linear oscillators except for momentary switching. Furthermore, special e作者: 傷心 時(shí)間: 2025-3-25 13:03 作者: JECT 時(shí)間: 2025-3-25 18:26 作者: 同謀 時(shí)間: 2025-3-25 21:19
Linear Waves,ically, yet the waves have a common feature. They can be produced at one location, propagated through space and detected at another location. The large variety of different waves demands the systematic classification presented in the following Section 7.1. Fundamental differences exist between the .作者: braggadocio 時(shí)間: 2025-3-26 03:10
Nonlinear Waves,ion 7.1.4a nor the principle of unperturbed propagation summarized in Section 7.1.4b can be applied to these waves. The amplitudes of linear waves as solutions of the basic linear partial differential equations can be chosen arbitrarly. On the contrary, the amplitudes of the nonlinear waves are dete作者: Palatial 時(shí)間: 2025-3-26 08:10
Standing Waves,a guitar, harp, violin or piano that is stretched between two clamps separated by a fixed distance. Such a string is somehow made to oscillate. The driving force does not need to have a particular frequency of its own. The string selects automatically a frequency such that an integer number of half 作者: Euphonious 時(shí)間: 2025-3-26 10:50 作者: 煞費(fèi)苦心 時(shí)間: 2025-3-26 16:23
Fritz K. Kneubühlation and feature augmentation instead of single augmentation to generate augmented views. Experimental results demonstrate that MACLR effectively integrates the advantages of structure augmentation and feature augmentation, achieving better performance than using a single augmentation method.作者: 期滿(mǎn) 時(shí)間: 2025-3-26 18:52
Fritz K. Kneubühltly, we introduce a logic and preference reasoning module to reason user preferences and logical requirements explicitly, obtaining preference, logic and desire queries answer sets. This module allows LPFR to reason about user desires at perceptual and cognitive aspects, respectively. To explore spe作者: PIZZA 時(shí)間: 2025-3-26 22:37 作者: FRET 時(shí)間: 2025-3-27 02:14
Fritz K. Kneubühlem. MERGE involves a Multi-View Relationship Graph Network module that constructs multiple dynamic graphs by mining relational information in prices to model the various types of stock interactions in the market from different perspectives. In addition, to sufficiently consider the impact of externa作者: 不整齊 時(shí)間: 2025-3-27 08:29 作者: Injunction 時(shí)間: 2025-3-27 11:00 作者: mitten 時(shí)間: 2025-3-27 14:41 作者: Estimable 時(shí)間: 2025-3-27 20:29
Fritz K. Kneubühl features and topology information for GNNs, allowing for precise and scalable fraud detection. Specifically, we first use a relation-aware node map-reduce to preprocess the computational graph. Then we use the hybrid propagation scheme, which optimizes the collection of neighborhood nodes with redu作者: 草率男 時(shí)間: 2025-3-28 01:03
Fritz K. Kneubühl features and topology information for GNNs, allowing for precise and scalable fraud detection. Specifically, we first use a relation-aware node map-reduce to preprocess the computational graph. Then we use the hybrid propagation scheme, which optimizes the collection of neighborhood nodes with redu作者: GUISE 時(shí)間: 2025-3-28 05:25 作者: 存在主義 時(shí)間: 2025-3-28 08:56
and graphic displays. In the past decades a gap opened between these two groups with the result that they have difficulties in communicating with each other. This comprehensive book represents a novel attempt t978-3-642-08281-8978-3-662-03468-2作者: 船員 時(shí)間: 2025-3-28 12:02
Textbook 1997mer need explicit analytical and numerical solutions or approximations, computer programs and graphic displays. In the past decades a gap opened between these two groups with the result that they have difficulties in communicating with each other. This comprehensive book represents a novel attempt t作者: 協(xié)定 時(shí)間: 2025-3-28 17:46 作者: Basal-Ganglia 時(shí)間: 2025-3-28 20:23
https://doi.org/10.1007/978-3-662-03468-2Chaos; Oscillation; Transformation; Wave; convolution; electrical engineering; fluid mechanics; kinematics;
