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1. |
Record Nr. |
UNINA9910830863503321 |
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Titolo |
Corrosion, wear, fatigue, and reliability of ceramics [[electronic resource] ] : a collection of papers presented at the 32nd International Conference on Advanced Ceramics and Composites, January 27-February 1, 2008, Daytona Beach, Florida / / editors, Jonathan Salem, Edwin R. Fuller ; volume editors, Tatsuki Ohji, Andrew Wereszczak |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, 2009 |
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ISBN |
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1-282-02225-3 |
9786612022258 |
0-470-45634-5 |
0-470-45633-7 |
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Descrizione fisica |
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1 online resource (216 p.) |
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Collana |
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Ceramic engineering and science proceedings ; ; v. 29, issue 3 |
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Altri autori (Persone) |
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SalemJ. A <1960-> (Jonathan A.) |
FullerEdwin R |
OhjiT (Tatsuki) |
WereszczakAndrew |
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Disciplina |
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Soggetti |
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Ceramic materials - Corrosion |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Corrosion, Wear, Fatigue, and Reliability of Ceramics; Contents; Preface; Introduction; CORROSION; Corrosion Resistance of Ceramics in Vaporous and Boiling Sulfuric Acid; Thermocouple Interactions during Testing of Melt Infiltrated Ceramic Matrix Composites; Oxidation Resistance of Pressureless-Sintered Sic-AIN-Re2O3 Composites Obtained without Powder Bed; Characterization of the Re-oxidation Behavior of Anode-Supported SOFCs; Healing Behavior of Machining Cracks in Oxide-Based Composite Containing Sic Particles |
Effects of Oxidation on the Mechanical Properties of Pressureless-Sintered SiC-AIN-Y2O3 Composites Obtained without Powder BedFiber Push Out Testing Before and After Exposure: Results for an MI SiC/SiC Composite; New Ceramics Surface Reinforcing Treatment using a Combination of Crack-Healing and Electron Beam Irradiation; Effect of Si3N4 on the instability of Li2O-Containing Celsian in the BAS/Si3N4 |
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Composites; FATIGUE, WEAR, AND CREEP; Rolling Contact Fatigue Properties and Fracture Resistance for Silicon Nitride Ceramics with Various Microstructures; Fretting Fatigue of Engineering Ceramics |
Investigation into Cyclic Frequency Effects on Fatigue Behavior of an Oxide/Oxide CompositeFriction and Wear Behavior of AIBC Composites; Creep of Silicon Nitride Observed In Situ with Neutron Diffraction; Hydrothermal Oxidation of Silicon Carbide and Its Bearing on Wet Wear Mechanisms; RELIABILITY, NDE, AND FRACTOGRAPHY; Probabilistic Design Optimization and Reliability Assessment of High Temperature Thermoelectric Devices; Development of a New Computational Method for Solving Inhomogeneous and Ultra Large Scale Model |
Optical Methods for Nondestructive Evaluation of Subsurface Flaws in Silicon Nitride CeramicsFractographic Analysis of Miniature Theta Specimens; Author Index |
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Sommario/riassunto |
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This volume provides a one-stop resource, compiling current research on the behavior and reliability of ceramic macro and micro scale systems. It is a collection of papers from The American Ceramic Society s 32nd International Conference on Advanced Ceramics and Composites, January 27-February 1, 2008. Topics include Design and Testing Challenges for Ceramic Joints; Structural Design, Testing and Life Prediction of Monolithic and Composite Components; Mechanical Behavior, Design, and Reliability of Small Scale Systems; Environmental Effects on Mechanical Properties; and more. This is a valuabl |
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2. |
Record Nr. |
UNINA9910812664203321 |
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Autore |
Bolla Marianna |
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Titolo |
Spectral clustering and biclustering : learning large graphs and contingency tables / / Marianna Bolla |
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Pubbl/distr/stampa |
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Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2013 |
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ISBN |
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9781118650714 |
1118650719 |
9781118650684 |
1118650689 |
9781118650707 |
1118650700 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (294 p.) |
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Classificazione |
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Disciplina |
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Soggetti |
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Contingency tables |
Graph theory |
Multivariate analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Machine generated contents note: Dedication Preface Acknowledgements List of Abbreviations Introduction 1 Multivariate analysis techniques for representing graphs and contingency tables 1.1 Quadratic placement problems for weighted graphs and hypergraphs 1.1.1 Representation of edge-weighted graphs 1.1.2 Representation of hypergraphs 1.1.3 Examples for spectra and representation of simple graphs 1.2 SVD of contingency tables and correspondence matrices 1.3 Normalized Laplacian and modularity spectra 1.4 Representation of joint distributions 1.4.1 General setup 1.4.2 Integral operators between L2 spaces 1.4.3 When the kernel is the joint distribution itself 1.4.4 Maximal correlation and optimal representations 1.5 Treating nonlinearities via reproducing kernel Hilbert spaces 1.5.1 Notion of the reproducing kernel 1.5.2 RKHS corresponding to a kernel 1.5.3 Two examples of an RKHS 1.5.4 Kernel - based on a sample - and the empirical feature map References 2 Multiway cut problems 2.1 |
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Estimating multiway cuts via spectral relaxation 2.1.1 Maximum, minimum, and ratio cuts of edge-weighted graphs 2.1.2 Multiway cuts of hypergraphs 2.2 Normalized cuts 2.3 The isoperimetric number and sparse cuts 2.4 The Newman-Girvan modularity 2.4.1 Maximizing the balanced Newman-Girvan modularity 2.4.2 Maximizing the normalized Newman-Girvan modularity 2.4.3 Anti-community structure and some examples 2.5 Normalized bicuts of contingency tables References 3 Large networks, perturbation of block structures 3.1 Symmetric block structures burdened with random noise 3.1.1 General blown-up structures 3.1.2 Blown-up multipartite structures 3.1.3 Weak links between disjoint components 3.1.4 Recognizing the structure 3.1.5 Random power law graphs and the extended planted partition model 3.2 Noisy contingency tables 3.2.1 Singular values of a noisy contingency table 3.2.2 Clustering the rows and columns via singular vector pairs 3.2.3 Perturbation results for correspondence matrices 3.2.4 Finding the blown-up skeleton 3.3 Regular cluster pairs 3.3.1 Normalized modularity and volume regularity of edgeweighted graphs 3.3.2 Correspondence matrices and volume regularity of contingency tables 3.3.3 Directed graphs References 4 Testable graph and contingency table parameters 4.1 Convergent graph sequences 4.2 Testability of weighted graph parameters 4.3 Testability of minimum balanced multiway cuts 4.4 Balanced cuts and fuzzy clustering 4.5 Noisy graph sequences 4.6 Convergence of the spectra and spectral subspaces 4.7 Convergence of contingency tables References 5 Statistical learning of networks 5.1 Parameter estimation in random graph models 5.1.1 EMalgorithmfor estimating the parameters of the block model 5.1.2 Parameter estimation in the _ and _ models 5.2 Nonparametric methods for clustering networks 5.2.1 Spectral clustering of graphs and biclustering of contingency tables 5.2.2 Clustering of hypergraphs 5.3 Supervised learning References A Linear algebra and some functional analysis A.1 Metric, normed vector, and Euclidean spaces A.2 Hilbert spaces A.3 Matrices References B Random vectors and matrices B.1 Random vectors B.2 Random matrices References C Multivariate statistical methods C.1 Principal Component Analysis C.2 Canonical Correlation Analysis C.3 Correspondence Analysis C.4 Multivariate Regression and Analysis of Variance C.5 The k-means clustering C.6 Multidimensional Scaling C.7 Discriminant Analysis References Index . |
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Sommario/riassunto |
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"Offering a timely and novel treatment of spectral clustering and biclustering of networks, this book bridges the gap between graph theory and statistics by giving answers to the demanding questions that arise when statisticians are confronted with large weighted graphs or rectangular arrays. The author presents a wide range of classical and modern statistical methods adapted to weighted graphs and contingency tables. In addition, practical examples from social and biological networks are included, and a teacher's guide is provided on a supporting website"-- |
"Provides a timely, novel and unified treatment of many important problems surrounding the spectral and classification properties of networks"-- |
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