Format: Hardback, 440 pages, height x width: 235x155 mm, 1 Illustrations, color; 76 Illustrations, black and white; XII, 438 p. 14 illus., 1 illus. in color., 1 Hardback
Series: Progress in Mathematics 351
Pub. Date: 08-Oct-2024
ISBN-13: 9783031662294
The first of a two-part volume, this collection offers a unifying vision of algebraic geometry, exploring its evolution over the last four decades as well as state-of-the art research. With chapters written by established leaders in the field as well as younger researchers, readers will gain a wide-ranging perspective of the area. The volume also commemorates the significant talent and contributions of Alberto Collino, whose scientific accomplishments helped shape the themes and topics covered. Perspectives on Four Decades of Algebraic Geometry, Volume 1 will be a valuable resource for those interested in the ways algebraic geometry has expanded over the years and continues to grow.
"Quadratic Counts of Twisted Cubics" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Singularities of bridgeland moduli spaces for k3 categories: an update.-
On rigid manifolds of kodaira dimension 1.- On the components of the main
stream of the moduli space of surfaces of general type with pg = q = 2.-
Degree of irrationality of fano threefold hypersurfaces.- Non effective
planar linear systems at the boundary of the mori cone.- Sur l'injectivite de
l'application cycle de jannsen.- A prym hypergeometric.- Complete curves in
the moduli space of polarized k3 surfaces and hyper-kahler manifolds.- The
grothendieck group of algebraic stacks.- Conformal blocks in genus zero and
the kz connection.- Second fundamental form and higher gaussian maps.- On
infinitesimal invariants of normal functions.- Macaulay duality and its
geometry.- On the chow ring of fano fourfolds of k3 type.- Quadratic counts
of twisted cubics.
Format: Hardback, 430 pages, height x width: 235x155 mm, 4 Illustrations, color; 63 Illustrations, black and white; X, 430 p. 21 illus., 3 illus. in color., 1 Hardback
Series: Progress in Mathematics 352
Pub. Date: 13-Oct-2024
ISBN-13: 9783031662331
The second of a two-part volume, this collection offers a unifying vision of algebraic geometry, exploring its evolution over the last four decades as well as state-of-the art research. With chapters written by established leaders in the field as well as younger researchers, readers will gain a wide-ranging perspective of the area. The volume also commemorates the significant talent and contributions of Alberto Collino, whose scientific accomplishments helped shape the themes and topics covered. Perspectives on Four Decades of Algebraic Geometry, Volume 2 will be a valuable resource for those interested in the ways algebraic geometry has expanded over the years and continues to grow.
On varieties with ulrich twisted normal bundles.- Rescalability of
integrable mixed twistor d-modules.- Cohomology of complete intersections of
quadrics.- Generic torelli for coverings of plane quintics ramified in two
points.- Theta groups and projective models of hyperkahler varieties.-
Footnotes to the birational geometry of primitive symplectic varieties.-
Finitude uniforme pour les cycles de codimension 2 sur les corps de nombres.-
The hesse pencil and polarizations of type (1,3) on abelian surfaces.-
Enriched hodge structures and cycles on complex analytic thickenings.- Notes
on the cohomology of local systems of small weight on m_2.- Burnside groups
and orbifold invariants of birational maps.- Enumerative geometry of
legendrian foliations: a tale of contact.- Geometric representability of
1-cycles on rationally connected threefolds.- Module structure of the
k-theory of polynomial-like rings.
*
Format: Hardback, 372 pages, height x width: 235x155 mm, 107 Illustrations, color; 19 Illustrations, black and white; Approx. 350 p., 1 Hardback
Series: Springer Proceedings in Mathematics & Statistics 461
Pub. Date: 14-Oct-2024
ISBN-13: 9789819734498
This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the UST Angelicum College, Philippines, from 20th to 21st September 2023. This biennial event is a result from collaborations of university partners in Malaysia, Thailand, Indonesia and Philippines.
Increasing investment in digital technologies is a challenge faced by most countries after the crisis caused by COVID-19 and the demand of technological revolution 4.0. Indirectly, regardless of their level of development, they take into account the importance of redesigning strategies for resilient and sustainable regional economic development, increasing regional resilience and minimizing recovery costs as a basis for development. In such situation, this book gather discussion, viewpoints and findings on the recent works of mathematical and computing technology applications in order to propose solutions to overcome adversity of digital resilience.
This book covers a wide range of topics on applied mathematics, which includes decision mathematics and also applied statistics covering statistical learning with applications. In addition, the book also highlight the latest application of statistical mining and data visualization, particularly on data mining, machine learning and data visualization. Editors believe this book will interest and influence researchers on the recent techniques, methodologies and applications to ensure digital resilience and support future research.
Chapter 1 Roughness-Dice Similarity Measure Generalization for Rough Neutrosophic Set Application in Investment Selection Company.
Chapter 2 Mathematical Modelling of a Food Chain with Intraspecific Competition in the Middle Predator.
Chapter 3 The Application of Simplified Multi-Granular Linguistic Term Sets in Decision-Making Method for an Investment Company.-
Chapter 4 Optimum Resource Allocation at Emergency Departments Yellow Zone using Simulation and Data Envelopment Analysis.
Chapter 5 Performance Efficiency of Paddy Granaries Production in Malaysia Using Bi-O MCDEA BCCv Super Efficiency Model.
Chapter 6 A Hybrid Multicriteria Decision Making Model for Environmentally Sustainable Port.
Chapter 7 Spatial and Time Series Modeling for The Groundwater Level of Peatlands in Riau and Central Kalimantan, Indonesia.
Chapter 8 Singular Value Decomposition on Correspondence Analysis as Derivation of Principal Component Analysis.-
Chapter 9 Stackelberg Equilibrium between Insured and Insurer in n-year Life Insurance.-
chapter 10 Modelling and Forecasting Natural Rubber Price in Malaysia: Comparison between HES, ARIMA and ANN.
Chapter 11The Study of Cramers V for Variables Association on Stainless Steels Corrosion Problem.-
Chapter 12 Analysis of Hospital Occupancy for COVID-19 Patients using Erlang B Queueing System.
Chapter 13 Effect of Frequent Adjustments of Risky Assets on Portfolio Value of Unit-Linked Insurance.
Chapter 14 The Correspondence Analysis Between Types of Motor Vehicle Claims and Customer Locations: A Case Study on Sharia General Insurance in Indonesia.
Chapter 15 Autoregressive Integrated Moving Average (ARIMA) Model for Forecasting Malaysia Under-5 Mortality by State and Gender.
Chapter 16 Point Biserial Correlation Coefficient on Climate Variables and Dengue Cases using R Programming.-
Chapter 17 Spatio-Temporal Patterns of Land Use Land Cover Change Associated with the Establishment of UiTM Cawangan Kelantan, Malaysia.
Chapter 18 Image Data Clustering Based on the Distribution Function.
Chapter 19 Color Model Selection for Accurate Target Detection in Rail Anomaly.
Chapter 20 Cyberbullying Detection Using Data Mining and Sentimen Analysis:Repository
Building in Bruneian Context.
Chapter 21 Real-Time Masked FacialRecognition with MobileNetV2and Transfer
Learning.
Chapter 22 JUVDATA: Data Visualization of JuvenileCrime in Malaysia.
Chapter 23 MalAware: An Agile and OSEMN-Based Big DataVisualisation for
Malware Detection.
Chapter 24 A Systematic Mapping of DataVisualization in Business Intelligence.
Format: Hardback, 177 pages, height x width: 235x155 mm, 40 Illustrations, color; 9 Illustrations, black and white; XII, 177 p. 49 illus., 40 illus. in color., 1 Hardback
Series: Springer Proceedings in Mathematics & Statistics 463
Pub. Date: 02-Aug-2024I
This book gathers selected papers presented at the Asia-Paci c Conference on Applied Mathematics and Statistics held on June 24-26, 2023, in Chongqing, China. It presents the most recent research and advances in various areas of applied mathematics and statistics, span from mathematical theory, calculation, modeling, simulation, to applications such as big data and image processing.
Xingfang Fu, Method of spare parts inventory decision on the aircraft integrity performance.- S. Artin, Reliability Enhancement of Solar Panels based on the Photocurrent Equality.- S. Zhang, Permutation Tests for the Partial Coefficient in a Multiple Linear Regression.- K. Mao, S. Li and W. Xiao, Research on Population Mortality Based on Generalized Partially Function Linear Model with Interaction Term.- S. Li, K. Mao, W. Xiao, Research on Sleep Quality Based on Generalized Partially Function Linear Model with Unknown Link Function.- H. Zhao, Y. Zhu, Decompositions and packing of complete 3-uniform hypergraph into hyperstar of a certain type.- M. Langthasa, R. K. Kanth, S. Majumder, ANN Based Recognition of the Dimasa Tribal Language of North East India.- Q. Dong, H. Zhao, Missing value filling method based on Scale data-Correlation coefficient method.- C. Nwaigwe, A. Weli, D. Ngoc Hoang Thanh, Sixth-Order Numerical Solver Based on Truncation Error for Solution of Nonlinear Fredholm Equations.- X. Xiao, System Analysis and Optimization for Random Dynamic Signals.- Q. Ji, J. Wang, Neighbor-distinguishing arc colorings of several digraphs.- N. Syamimi Binti Haji Abu Bakar, A. B. Ismail, A. Rina Binti Ali, N. B. Shaadan and H. B. Haron, Modelling Odds And Probability Of Stillbirth Due To Maternal Demography (Race, Marital Status, Maternal Age and Antenatal Care) Among Women In Malaysia: Case Study In A Public Hospital At Selangor.- J. Zhang, C. Liu, W. Ding, Effectiveness of Roelands Formula with Constant VPC in EHL of Higher Pair Contact.- C. Zhu and Y. Li, Numerical Simulation of Oxygen Jet Condensation in Cryogenic Liquid Rocket.- H. Jiang, De-an Meng, Kun Li, C. Zhu, H. Zhou, S. Zhao, Numerical Simulation of Mechanical Bulging Process of a Large Three-Layer Rectangular Bellow.- Li Xiong, Y. Zhang, B. He, K. Zhang, J. Zhu, Xun Lang, Effects of Different Parameter Values on the Performance of CPWC-based Local PWV Estimation.- Z. Wang, Ji Mi, H. Zhu and Xin Li, A Robust Localization Algorithm for Intelligent and Connected Vehicles by Variational Bayesian Method.
Format: Hardback, 328 pages, height x width: 235x155 mm, 60 Illustrations,
color; 10 Illustrations, black and white; Approx. 200 p., 1 Hardback
Series: Springer Proceedings in Mathematics & Statistics 467
Pub. Date: 18-Oct-2024
ISBN-13: 9783031656989
This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.
C. Marini, and V. Nicolardi, Administrative database and official
statistics: an IT and Statistical procedure.- F. Mariani, M. Ciommi, M. C.
Recchioni, Giuseppe Ricciardo Lamonica and Francesco Maria Chelli, Working
with Non-Compensatory Composite Indicators: A Case Study Based on SDG for
Mediterranean Countries.- D. Bondonio and P. Chirico, Intertemporal
statistical matching for causal inference in the context of multivariate
time-series data.- C. Rosanna, G. M. Gabriella and Z. Emma, Scaling UX-AI
products: CFA & PLS-SEM comparison.- L. Pagani, M. C. Zanarotti and A. Habus,
The construction of a Heat Vulnerability Index by means of the Composite
Indicator approach: a case study for Friuli Venezia Giulia Region, Italy.- C.
Pangallo, Oliviero Casacchia e Corrado Polli, The manual, communicative and
quantitative abilities of native and foreign workers according to their level
of education in Italy.- E. Dzuverovic and E. Otranto, Nonlinear HAR Models
and Nonlinear Least Squares: Asymptotic Properties.- P. Quatto and E.
Ripamonti, Measuring strength of randomized clinical trials.- A. Bianchino,
Armando dAniello, Daniela Fusco, Improving administrative data quality on
tourism using Big Data.- R. Fontana and F. Rapallo, Robust designs against
data loss: A general approach.- S. D. Tomarchio, A. Punzo and A. Maruotti,
Matrix-variate hidden Markov models: an application to employment data.- F.
Bitonti, Integrating structuralism and diffusionism to explain the new
Italian emigration.- F. Bitonti1, A. Mazza, Spatial explorative analysis of
thyroid cancer in Sicilian volcanic areas.- I. Sciascia, Adjusted calibration
estimators for sparse spatial data.- N. Trendafilov and M. Gallo and V.
Simonacci and V. Todorov, Discrimination via principal components.- G. Greca,
G. Cinquegrana and G. Fosco, A regional analysis of the efficiency by energy
producers in Italy.- M. Scioni and P. Annoni, An Alternative Aggregation
Function for the UNDP Human Development Index.- F. Attili and M. Costa,
Decomposing inequality after asymmetric shocks: an analysis of Italian
household consumption.- D. Fusco, M. Antonietta Liguori, V. Moretti, F. G.
Truglia, Spatial statistics analysis using microdata: an application
agricultural sector.- I. Primerano, G. Giordano, M. Prosperina Vitale,
Exploring factors affecting the evaluation of online learning services.
Evidence from a social science bachelors degree.- M. Zannella, A. De Rose,
E. Aloﾄ・ M. Corsi, Paid and Unpaid Work in Pandemic Times. A Study on the
Division of Household Labour and the Subjective Well-being of Working Mothers
in Italy.- G. Bove, Measures of interrater agreement for quantitative scales
based on the standard deviation.- D. Giuliani, M. Michela Dickson, F. Santi,
G. Espa, An empirical tool to classify industries by regional concentration
and spatial polarization.- B. Guindani, D. Ardagna and A. Guglielmi, Bayesian
optimization for cloud resource management through machine learning.
Format: Paperback / softback, 591 pages, height x width: 235x155 mm, XVI, 564 p. 86 illus., 1 Paperback / softback
Series: Lecture Notes in Mathematics 2354
Pub. Date: 19-Oct-2024
ISBN-13: 9783031666117
This monograph guides the reader to the mathematical crossroads of heat equations and differential geometry via functional analysis. Following the recent trend towards constructive methods in the theory of partial differential equations, it makes extensive use of the ideas and techniques from the WeylHﾃｶrmander calculus of pseudo-differential operators to study heat Green operators through concrete calculations for the Dirichlet, Neumann, regular Robin and hypoelliptic Robin boundary conditions. Further, it provides detailed coverage of important examples and applications in elliptic and parabolic problems, illustrated with many figures and tables. A unified mathematical treatment for solving initial boundary value problems for the heat equation under general Robin boundary conditions is desirable, and leads to an extensive study of various aspects of elliptic and parabolic partial differential equations. The principal ideas are explicitly presented so that a broad spectrum of readers can easily understand the problem and the main results. The book will be of interest to readers looking for a functional analytic introduction to the meeting point of partial differential equations, differential geometry and probability.
Introduction and Main Results.-
Part I Functional Analytic Approach toHeat Operators.- Preliminaries from
Manifold Theory.- Finite Double-Norm and
Trace-Class Operators on a Hilbert Space.- HilbertSchmidt and Trace-ClassOperators
on a Manifold.- Analytic Semigroups via Dunford Integrals.-
Part II
Pseudo-Differential Operators and Elliptic Boundary Value Problems.- LpTheory
of Pseudo-Differential Operators.- Elliptic Boundary Value Problems on
a Manifold.- Lp Theory of Elliptic Boundary Value Problems.- Boutet de
MonvelCalculus.- Pseudo-Differential Operator Approach to Agmons Method.-
Part III
Analytic Semigroup Approach to Heat Operators.- Generation Theorem forAnalytic
Semigroups via Agmons Method.- Hypoelliptic Robin Problems via
Boutet de Monvel Calculus.- Distribution Kernel of Analytic Semigroups
in theHypoelliptic Case.-
Part IV
The Fundamental Solution for the Cauchy Problem.-The Cauchy Problem for the Heat Operator on Rn.- Fundamental Solution
Operator for the Cauchy Problem on a Manifold.-
Part V
Symbolic Calculus forDirichlet, Neumann and Regular Robin Problems.- Symbolic
Calculus near the
Boundary.- Analytic Version of Weyl Bases for the Heat Kernel on the HalfAxis.-
Symbolic Calculus for Boundary Value Problems on a Manifold.-
Part VI
Transport Equations and Trace Formulas on the Half Space.- TransportEquations
via the WeylHﾃｶrmander Calculus.- Several Trace Formulas for
Auxiliary Operators on the Half Space.-
Part VII
Heat Kernel Asymptotics forDirichlet, Neumann and Regular Robin Problems.-
Heat Kernel Asymptotics for
the Dirichlet Problem.- Heat Kernel Asymptotics for the Neumann Problem.-
Heat Kernel Asymptotics for the Regular Robin Problem.- Heat KernelAsymptotics for the Generalized Regular Robin Problem.-
Part VIII
Heat KernelAsymptotics for the Hypoelliptic Robin Problem.- Heat Kernel
Asymptotics for
the Hypoelliptic Robin Problem.- Examples in the Plane R2.- ConcludingRemarks.
Format: Paperback / softback, 380 pages, height x width: 235x155 mm, 102 Illustrations, color; 16 Illustrations, black and white; X, 380 p. 118 illus., 102 illus. in color., 1 Paperback / softback
Series: Lecture Notes in Statistics 227
Pub. Date: 15-Oct-2024
ISBN-13: 9783031662522
This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed.
The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis.
The focus is on fundamental ideas, applicability and the pitfalls of machine learning in industry and science, where data are often scarce. Requiring only very basic background in statistics, the book is ideal for self-study or short courses for engineering and science students
An Introduction of Statistical Learning for Engineers.- Machine
Learning for Inline Surface Inspection Systems - Challenges, Approaches, and
Application Example.- Gaussian Process Regression for the Prediction of Cable
Bundle Characteristics.- Machine Learning for Predictive Maintenance in
Production Environments.- Detecting Healthcare Fraud Using Hybrid Machine
Learning for Document Digitization.- Cracks in concrete.- Machine learning
methods for prediction of breakthrough curves in reactive porous media.-
Segmentation and Aggregation in Text Classification.- Hardware-aware Neural
Architecture Search.- Optimal Experimental Design Supported by Machine
Learning Regression Models.- Data Analytics, Artificial Intelligence and
Machine Learning in Mobility and Vehicle Engineering.