標(biāo)題: Titlebook: Discrete Calculus; Applied Analysis on Leo J. Grady,Jonathan R. Polimeni Book 2010 Springer-Verlag London Limited 2010 Analysis.Graph.Grap [打印本頁(yè)] 作者: BULK 時(shí)間: 2025-3-21 20:08
書目名稱Discrete Calculus影響因子(影響力)
書目名稱Discrete Calculus影響因子(影響力)學(xué)科排名
書目名稱Discrete Calculus網(wǎng)絡(luò)公開度
書目名稱Discrete Calculus網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Discrete Calculus被引頻次
書目名稱Discrete Calculus被引頻次學(xué)科排名
書目名稱Discrete Calculus年度引用
書目名稱Discrete Calculus年度引用學(xué)科排名
書目名稱Discrete Calculus讀者反饋
書目名稱Discrete Calculus讀者反饋學(xué)科排名
作者: cylinder 時(shí)間: 2025-3-21 22:14
Thorsten W. Becker,Claudio Faccennatopology. Our particular focus will be on the . of these properties from the graph structure. Applications will illustrate the use of these measures to predict the importance of nodes and to relate these measures to other properties of the subject being modeled by the network.作者: 四溢 時(shí)間: 2025-3-22 01:55
Manifold Learning and Rankingng the structure of a network is to calculate an importance ranking for each node. In contrast to the majority of this book, the ranking algorithms are generally used to examine the structure of . graphs.作者: crutch 時(shí)間: 2025-3-22 05:26
Measuring Networkstopology. Our particular focus will be on the . of these properties from the graph structure. Applications will illustrate the use of these measures to predict the importance of nodes and to relate these measures to other properties of the subject being modeled by the network.作者: Immunotherapy 時(shí)間: 2025-3-22 09:36
e processing algorithms into a common framework.Provides num.The field of discrete calculus, also known as "discrete exterior calculus", focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, disc作者: OTHER 時(shí)間: 2025-3-22 16:23 作者: OTHER 時(shí)間: 2025-3-22 19:50 作者: Measured 時(shí)間: 2025-3-22 22:48 作者: 咆哮 時(shí)間: 2025-3-23 03:15
Book 2010 that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate .discretization. of conventional multivariate calculus, discrete calculus establishes a separate, equivalent calculus that operates purely in 作者: 小丑 時(shí)間: 2025-3-23 09:26 作者: Entreaty 時(shí)間: 2025-3-23 10:46
Craig T. January,Harry A. Fozzardin any one of these three areas can strongly benefit from the tools and techniques being developed in the others. We begin this book by outlining each of these three areas, their history and their relationship to one another. Subsequently, we outline the structure of this work and help the reader navigate its contents.作者: 女歌星 時(shí)間: 2025-3-23 16:31
Leonard J. Foster,Queenie W. T. Chanh group as separate entities. In this chapter, we use the tools of discrete calculus to examine both the . (i.e., finding a specific group) and the . (i.e., discovering all groups). We additionally show how to apply these clustering models to the clustering of higher-order cells, e.g., to cluster edges.作者: 行乞 時(shí)間: 2025-3-23 18:20
Elvira García Osuna,Robert F. Murphywe will discuss different techniques for generating a meaningful weighted complex from an embedding or from the data itself. Our focus will be primarily on generating weighted edges and faces from node and/or edge data, but we additionally demonstrate how these techniques may be applied to weighting higher-order structures.作者: Keratin 時(shí)間: 2025-3-23 22:36
Building a Weighted Complex from Datawe will discuss different techniques for generating a meaningful weighted complex from an embedding or from the data itself. Our focus will be primarily on generating weighted edges and faces from node and/or edge data, but we additionally demonstrate how these techniques may be applied to weighting higher-order structures.作者: 補(bǔ)充 時(shí)間: 2025-3-24 04:20
Craig T. January,Harry A. Fozzardposure to the other two. The areas are: discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these areas, they have largely developed independently of one another. However, we believe that researchers working 作者: 盟軍 時(shí)間: 2025-3-24 07:26
Borivoj Korecky,Naranjan S. Dhalla forms. This generalization allows us to distill the important elements necessary to operate the basic machinery of conventional vector calculus. This basic machinery is then redefined in a discrete setting to produce appropriate definitions of the domain, boundary, functions, integrals, metric and 作者: 引水渠 時(shí)間: 2025-3-24 14:23
Elvira García Osuna,Robert F. Murphys the central physical model for applying and understanding the concepts of discrete calculus on graphs for three reasons: because much of the progress in graph theory over the last century was created in the context of circuit theory; because of the early connection made between circuit theory and 作者: Nebulous 時(shí)間: 2025-3-24 15:16
Elvira García Osuna,Robert F. Murphynd (e.g., road networks, social networks, communication networks, chemical graph theory or surface simplification). However, in many other applications the appropriate representation of the data to be analyzed is not provided (e.g., machine learning). Therefore, to use the tools of discrete calculus作者: euphoria 時(shí)間: 2025-3-24 21:08
https://doi.org/10.1007/978-1-4020-5943-8ation of noise from the signal becomes more possible when multiple data points are acquired which have a relationship with each other. A?spatial relationship, such as the edge set of a graph, permits the use of the collective data acquisition to make better decisions about the true data underlying e作者: 坦白 時(shí)間: 2025-3-25 01:07
Leonard J. Foster,Queenie W. T. Chanssing. The clustering problem is also deeply connected to machine learning because a solution to the clustering problem may be used to propagate labels from observed data to unobserved data. In general network analysis, the identification of a grouping allows for the analysis of the nodes within eac作者: 樹膠 時(shí)間: 2025-3-25 07:00
David Mainprice,Benoit Ildefonse been sufficient to define the domain upon which we may perform data analysis. However, an intrinsic metric defined on a network may be interpreted as the metric that would have been obtained if the network had been embedded into an ambient space equipped with its own metric. Consequently, it is pos作者: obscurity 時(shí)間: 2025-3-25 11:07 作者: Hyperopia 時(shí)間: 2025-3-25 11:54 作者: –吃 時(shí)間: 2025-3-25 17:23 作者: enmesh 時(shí)間: 2025-3-25 23:36
Leo J. Grady,Jonathan R. PolimeniPresents a thorough review of discrete calculus, with a focus on key concepts required for successful application.Unifies many standard image processing algorithms into a common framework.Provides num作者: biosphere 時(shí)間: 2025-3-26 02:09 作者: VALID 時(shí)間: 2025-3-26 04:50 作者: 媒介 時(shí)間: 2025-3-26 08:54 作者: Antagonism 時(shí)間: 2025-3-26 16:13
Circuit Theory and Other Discrete Physical Modelss the central physical model for applying and understanding the concepts of discrete calculus on graphs for three reasons: because much of the progress in graph theory over the last century was created in the context of circuit theory; because of the early connection made between circuit theory and 作者: DOSE 時(shí)間: 2025-3-26 19:12
Building a Weighted Complex from Datand (e.g., road networks, social networks, communication networks, chemical graph theory or surface simplification). However, in many other applications the appropriate representation of the data to be analyzed is not provided (e.g., machine learning). Therefore, to use the tools of discrete calculus作者: Control-Group 時(shí)間: 2025-3-27 01:00
Filtering on Graphsation of noise from the signal becomes more possible when multiple data points are acquired which have a relationship with each other. A?spatial relationship, such as the edge set of a graph, permits the use of the collective data acquisition to make better decisions about the true data underlying e作者: 追蹤 時(shí)間: 2025-3-27 02:21 作者: SHRIK 時(shí)間: 2025-3-27 08:37 作者: Medicare 時(shí)間: 2025-3-27 12:28
Measuring Networkstial equations and to analyze data. An important aspect of the discrete differential operators is that .. Therefore, in an effort to provide a complete treatment of these differential operators, we examine in this chapter the properties of the network which may be extracted from the structure of the作者: 不適當(dāng) 時(shí)間: 2025-3-27 15:54 作者: intimate 時(shí)間: 2025-3-27 20:41 作者: 著名 時(shí)間: 2025-3-27 22:47
Circuit Theory and Other Discrete Physical Modelsrom an algebraic standpoint with a focus on operators. This will prepare the reader with notation and concepts that tie naturally to the previous chapter in which the discrete analogues of differential operators were introduced. We begin with definitions of the physical quantities and corresponding 作者: Dissonance 時(shí)間: 2025-3-28 06:01 作者: Generosity 時(shí)間: 2025-3-28 09:07 作者: 撕裂皮肉 時(shí)間: 2025-3-28 13:59 作者: Conquest 時(shí)間: 2025-3-28 18:16 作者: locus-ceruleus 時(shí)間: 2025-3-28 21:13 作者: 觀察 時(shí)間: 2025-3-29 02:09 作者: set598 時(shí)間: 2025-3-29 04:47 作者: 收藏品 時(shí)間: 2025-3-29 10:41
