- Table View
- List View
Getting Acquainted with Homogenization and Multiscale (Compact Textbooks in Mathematics)
by Leonid Berlyand Volodymyr RybalkoThe objective of this book is to navigate beginning graduate students in mathematics and engineering through a mature field of multiscale problems in homogenization theory and to provide an idea of its broad scope. An overview of a wide spectrum of homogenization techniques ranging from classical two-scale asymptotic expansions to Gamma convergence and the rapidly developing field of stochastic homogenization is presented. The mathematical proofs and definitions are supplemented with intuitive explanations and figures to make them easier to follow. A blend of mathematics and examples from materials science and engineering is designed to teach a mixed audience of mathematical and non-mathematical students.
Giovanni Battista Guccia: Pioneer of International Cooperation in Mathematics
by Benedetto Bongiorno Guillermo P. CurberaThis book examines the life and work of mathematician Giovanni Battista Guccia, founder of the Circolo Matematico di Palermo and its renowned journal, the Rendiconti del Circolo matematico di Palermo. The authors describe how Guccia, an Italian geometer, was able to establish a mathematical society in Sicily in the late nineteenth century, which by 1914 would grow to become the largest and most international in the world, with one of the most influential journals of the time. The book highlights the challenges faced by Guccia in creating an international society in isolated Palermo, and places Guccia’s activities in the wider European context through comparisons with the formation of the London Mathematical Society and the creation of Mittag-Leffler’s Acta Mathematica in Stockholm. Based on extensive searches in European archives, this scholarly work follows both historical and scientific treads, and will appeal to those interested in the history of mathematics and science in general.
Gleichungen und Ungleichungen: Klartext Für Nichtmathematiker (Essentials)
by Guido WalzDas Buch vermittelt in leicht verständlicher Sprache die Grundlagen des Lösens von Gleichungen und Ungleichungen. Eines der Hauptthemen ist das Lösen von quadratischen Gleichungen, unabhängig davon, ob sie bereits in Normalform vorliegen oder erst in diese gebracht werden müssen. Als Instrument hierfür behandelt der Autor die p-q-Formel und die Mitternachtsformel. Daneben geht es um lineare Gleichungen sowie ganz allgemein um die Frage, welche Manipulationen man an einer Gleichung vornehmen darf, ohne ihre Lösungen zu ändern. Weiterhin werden die wichtigsten Ungleichungen behandelt und Strategien zu ihrer Lösung aufgezeigt.Der Autor Dr. Guido Walz ist Professor für Angewandte Mathematik an der Wilhelm-Büchner-Hochschule Darmstadt und Dozent an der Dualen Hochschule Baden-Württemberg, Herausgeber des fünfbändigen „Lexikon der Mathematik“ sowie Autor zahlreicher Fachveröffentlichungen und Lehrbücher, z.B. „Mathematik für Fachhochschule und duales Studium“.
Glencoe Algebra 1
by Gilbert J. Cuevas Roger Day John A. CarterGlencoe High School Math Series is about connecting math content, rigor, and adaptive instruction for student success
Glencoe Math [Volume 2]
by Carter Cuevas Day Malloy Kersaint Reynosa Silbey VielhaberNIMAC-sourced textbook
Global Formulations of Lagrangian and Hamiltonian Dynamics on Manifolds
by Taeyoung Lee Melvin Leok N. Harris McclamrochThis book provides an accessible introduction to the variational formulation of Lagrangian and Hamiltonian mechanics, with a novel emphasis on global descriptions of the dynamics, which is a significant conceptual departure from more traditional approaches based on the use of local coordinates on the configuration manifold. In particular, we introduce a general methodology for obtaining globally valid equations of motion on configuration manifolds that are Lie groups, homogeneous spaces, and embedded manifolds, thereby avoiding the difficulties associated with coordinate singularities. The material is presented in an approachable fashion by considering concrete configuration manifolds of increasing complexity, which then motivates and naturally leads to the more general formulation that follows. Understanding of the material is enhanced by numerous in-depth examples throughout the book, culminating in non-trivial applications involving multi-body systems. This book is written for a general audience of mathematicians, engineers, and physicists with a basic knowledge of mechanics. Some basic background in differential geometry is helpful, but not essential, as the relevant concepts are introduced in the book, thereby making the material accessible to a broad audience, and suitable for either self-study or as the basis for a graduate course in applied mathematics, engineering, or physics.
The GLOBAL Optimization Algorithm: Newly Updated With Java Implementation And Parallelization (SpringerBriefs in Optimization)
by Balázs Bánhelyi Tibor Csendes Balázs Lévai László Pál Dániel ZomboriThis book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed. Examples are provided for students as well as researchers and practitioners in optimization, operations research, and mathematics to compose their own scripts with ease. A GLOBAL manual is presented in the appendix to assist new users with modules and test functions. GLOBAL is a successful stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods it starts with, but it can also easily apply other local techniques. The strength of this algorithm lies in its reliability and adaptive algorithm parameters. The GLOBAL algorithm is free to download also in the earlier Fortran, C, and MATLAB implementations.
A Global Perspective on Young People as Offenders and Victims: First Results from the ISRD3 Study (SpringerBriefs in Criminology)
by Martin Killias Ineke Haen Marshall Majone Steketee Dirk Enzmann Janne Kivivuori Mike HoughThis Brief presents the first major release of findings from the Third International Self-Report Delinquency Study (ISRD3). ISRD is a major international research collaboration that now covers some 35 countries. It surveys young people aged 12 to 16 in their schools, asking about their experience of crime - both as offenders and as victims - and about their attitudes to crime and justice and about their home and school life. ISRD1 was carried out in 1991-1992 and ISRD2 in 2006-2008. ISRD findings presented here cover the 27 ISRD3 countries for which data are already available, with a total sample approaching 63,000 young people. For most of these countries, the samples are drawn from two major cities. This volume provides key findings on self-reported offending and on victimization. Chapter 1 set the scene, and describes the background to ISRD3. Chapter 2 describes the methods used in the survey; respondents complete the ISRD questionnaire either in paper format or - increasingly - using a standardized internet program. Chapter 3 covers key findings on self-reported offending, including the important finding that preparedness to disclose offending varies according to cultural context. Chapter 4 presents findings on victimization, including important new findings on hate crime and the use of parental violence, as well as coverage of more conventional forms of crime. A final chapter summarizes the results and draws out their implications. This Brief will be of interest to researchers in criminology and criminal justice, as well as related fields such as sociology, public policy, and psychology. Due to the groundbreaking methodological analyses provided, this Brief is essential reading to all who conduct or use internationally comparative and global survey research.
Global Population in Transition
by Jo. M. Martins Fei Guo David A. SwansonThis book deals with macro and micro aspects of population change and their inter-face with socio-economic factors and impact. It examines theoretical notions and pursues their empirical manifestations and uses multidisciplinary approaches to population change and diversity. It investigates the organic nature of the relationships between socio-economic factors and population change and the feedback loops that affect socio-economic organisation and behaviour. The book brings together material often scattered in a number of sources and disciplines that helps to understand population change and their socio-economic aspects. In addition to dealing with the more conventional factors in population dynamics in the form of fertility, mortality and migration, the book examines socio-economic forces that influence them. It discusses population evolving attributes that affect population characteristics and social and behaviour and impact on the environment. Further, it deals with social organisation and pathways that lead to different social and economic development and standards of living of diverse populations.
Go Math!: Student Interactive Worktext (Grade #8)
by Houghton Mifflin HarcourtGo Math!: Student Interactive Worktext (Grade 8)
Go Math!: Student Interactive Worktext (Grade #6)
by Edward B. Burger Juli K. Dixon Timothy D. KanoldGo Math!: Student Interactive Worktext, Grade 7
by Houghton StaffHMH Go Math!: Student Interactive Worktext, Grade 7, 2018 Common Core Edition
Go Math, Grade 8, Middle School: Student Edition 2018 (Go Math! (StA))
by Edward B. Burger Juli K. Dixon Timothy D. KanoldNIMAC-sourced textbook
Go Math!, Grade 8, Middle School: Student Interactive Worktext (Go Math! STA)
by Edward B. Burger Juli K. Dixon Timothy D. KanoldNIMAC-sourced textbook
Gorenstein Homological Algebra
by Alina IacobGorenstein homological algebra is an important area of mathematics, with applications in commutative and noncommutative algebra, model category theory, representation theory, and algebraic geometry. While in classical homological algebra the existence of the projective, injective, and flat resolutions over arbitrary rings are well known, things are a little different when it comes to Gorenstein homological algebra. The main open problems in this area deal with the existence of the Gorenstein injective, Gorenstein projective, and Gorenstein flat resolutions. Gorenstein Homological Algebra is especially suitable for graduate students interested in homological algebra and its applications.
GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
by Tolga SoyataGPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs. Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust),the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apple’s Swift and Metal,) and the deep learning library cuDNN.
GPU Pro 360 Guide to Geometry Manipulation
by Wolfgang EngelWolfgang Engel’s GPU Pro 360 Guide to Geometry Manipulation gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers geometry manipulation in computer graphics. This volume is complete with 19 articles by leading programmers that focus on the ability of graphics processing units to process and generate geometry in exciting ways. GPU Pro 360 Guide to Geometry Manipulation is comprised of ready-to-use ideas and efficient procedures that can help solve many computer graphics programming challenges that may arise. <P><P> Key Features: <li> Presents tips and tricks on real-time rendering of special effects and visualization data on common consumer software platforms such as PCs, video consoles, mobile devices <li> Covers specific challenges involved in creating games on various platforms <li> Explores the latest developments in the rapidly evolving field of real-time rendering <li> Takes a practical approach that helps graphics programmers solve their daily challenges
The Gradient Discretisation Method (Mathématiques et Applications #82)
by Jérôme Droniou Robert Eymard Thierry Gallouët Cindy Guichard Raphaèle HerbinThis monograph presents the Gradient Discretisation Method (GDM), which is a unified convergence analysis framework for numerical methods for elliptic and parabolic partial differential equations. The results obtained by the GDM cover both stationary and transient models; error estimates are provided for linear (and some non-linear) equations, and convergence is established for a wide range of fully non-linear models (e.g. Leray–Lions equations and degenerate parabolic equations such as the Stefan or Richards models). The GDM applies to a diverse range of methods, both classical (conforming, non-conforming, mixed finite elements, discontinuous Galerkin) and modern (mimetic finite differences, hybrid and mixed finite volume, MPFA-O finite volume), some of which can be built on very general meshes.
Graph Theory: Favorite Conjectures And Open Problems - 1 (Problem Books in Mathematics)
by Stephen T. Hedetniemi Teresa W. Haynes Ralucca GeraThis second volume in a two-volume series provides an extensive collection of conjectures and open problems in graph theory. It is designed for both graduate students and established researchers in discrete mathematics who are searching for research ideas and references. Each chapter provides more than a simple collection of results on a particular topic; it captures the reader’s interest with techniques that worked and failed in attempting to solve particular conjectures. The history and origins of specific conjectures and the methods of researching them are also included throughout this volume. Students and researchers can discover how the conjectures have evolved and the various approaches that have been used in an attempt to solve them. An annotated glossary of nearly 300 graph theory parameters, 70 conjectures, and over 600 references is also included in this volume. This glossary provides an understanding of parameters beyond their definitions and enables readers to discover new ideas and new definitions in graph theory. The editors were inspired to create this series of volumes by the popular and well-attended special sessions entitled “My Favorite Graph Theory Conjectures,” which they organized at past AMS meetings. These sessions were held at the winter AMS/MAA Joint Meeting in Boston, January 2012, the SIAM Conference on Discrete Mathematics in Halifax in June 2012, as well as the winter AMS/MAA Joint Meeting in Baltimore in January 2014, at which many of the best-known graph theorists spoke. In an effort to aid in the creation and dissemination of conjectures and open problems, which is crucial to the growth and development of this field, the editors invited these speakers, as well as other experts in graph theory, to contribute to this series.
Graph Theory: An Interactive View (Dover Books on Mathematics #61)
by Frank HararyAn effort has been made to present the various topics in the theory of graphs in a logical order, to indicate the historical background, and to clarify the exposition by including figures to illustrate concepts and results. In addition, there are three appendices which provide diagrams of graphs, directed graphs, and trees. The emphasis throughout is on theorems rather than algorithms or applications, which however are occaisionally mentioned.
Graph Theory and Its Applications (Textbooks in Mathematics)
by Jonathan L. Gross Jay Yellen Mark AndersonGraph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs. The authors’ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology. Features of the Third Edition Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions) Provides better coverage of algorithms and algebraic and topological graph theory than any other text Incorporates several levels of carefully designed exercises that promote student retention and develop and sharpen problem-solving skills Includes supplementary exercises to develop problem-solving skills, solutions and hints, and a detailed appendix, which reviews the textbook’s topics About the Authors Jonathan L. Gross is a professor of computer science at Columbia University. His research interests include topology and graph theory. Jay Yellen is a professor of mathematics at Rollins College. His current areas of research include graph theory, combinatorics, and algorithms. Mark Anderson is also a mathematics professor at Rollins College. His research interest in graph theory centers on the topological or algebraic side.
Graph Transformation: 11th International Conference, ICGT 2018, Held as Part of STAF 2018, Toulouse, France, June 25–26, 2018, Proceedings (Lecture Notes in Computer Science #10887)
by Leen Lambers Jens WeberThis book constitutes the refereed proceedings of the 11th International Conference on Graph Transformation, ICGT 2018, held as part of STAF 2018, in Toulouse, France, in June 2018.The 9 full papers, 2 short papers and 1 keynote presented in this book were carefully reviewed and selected from 16 submissions. The papers deal with the following topics: graph languages; graph transformation formalisms; parallel independence and conflicts; and graph conditions and verification.