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1000 tulosta hakusanalla Vector Hasting

Vector Analysis Versus Vector Calculus

Vector Analysis Versus Vector Calculus

Antonio Galbis; Manuel Maestre

Springer-Verlag New York Inc.
2012
nidottu
The aim of this book is to facilitate the use of Stokes' Theorem in applications. The text takes a differential geometric point of view and provides for the student a bridge between pure and applied mathematics by carefully building a formal rigorous development of the topic and following this through to concrete applications in two and three variables. Several practical methods and many solved exercises are provided. This book tries to show that vector analysis and vector calculus are not always at odds with one another. Key topics include:-vectors and vector fields;-line integrals;-regular k-surfaces;-flux of a vector field;-orientation of a surface;-differential forms;-Stokes' theorem;-divergence theorem. This book is intended for upper undergraduate students who have completed a standard introduction to differential and integral calculus for functions of several variables. The book can also be useful to engineering and physicsstudents who know how to handle the theorems of Green, Stokes and Gauss, but would like to explore the topic further.
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Vector Calculus for Tamed Dirichlet Spaces

Vector Calculus for Tamed Dirichlet Spaces

Mathias Braun

AMERICAN MATHEMATICAL SOCIETY
2025
nidottu
The Memoirs of the AMS is devoted to the publication of new research in all areas of pure and applied mathematics. The Memoirs is designed particularly to publish long papers of groups of cognate papers in book form, and is under the supervision of the Editorial Committee of the AMS journal Transactions of the American Mathematical Society. All papers are peer-reviewed.
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Vector 289 African SF

Vector 289 African SF

Lulu Press Inc
2019
pokkari
Vector is the critical journal of the British Science Fiction Association, publishing articles and features on genre fiction across the world, with some focus on UK science fiction. Vector publishes two to three issues per year.
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Vector Bundles on Complex Projective Spaces

Vector Bundles on Complex Projective Spaces

Christian Okonek; Heinz Spindler; Michael Schneider

Springer-Verlag New York Inc.
2013
nidottu
These lecture notes are intended as an introduction to the methods of classification of holomorphic vector bundles over projective algebraic manifolds X. To be as concrete as possible we have mostly restricted ourselves to the case X = Fn. According to Serre (GAGA) the classification of holomorphic vector bundles is equivalent to the classification of algebraic vector bundles. Here we have used almost exclusively the language of analytic geometry. The book is intended for students who have a basic knowledge of analytic and (or) algebraic geometry. Some funda­ mental results from these fields are summarized at the beginning. One of the authors gave a survey in the Seminaire Bourbaki 1978 on the current state of the classification of holomorphic vector bundles overFn. This lecture then served as the basis for a course of lectures in Gottingen in the Winter Semester 78/79. The present work is an extended and up-dated exposition of that course. Because of the introductory nature of this book we have had to leave out some difficult topics such as the restriction theorem of Barth. As compensation we have appended to each sec­ tion a paragraph in which historical remarks are made, further results indicated and unsolved problems presented. The book is divided into two chapters. Each chapter is subdivided into several sections which in turn are made up of a number of paragraphs. Each section is preceeded by a short description of iv its contents.
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Vector and Geometric Calculus

Vector and Geometric Calculus

Alan L MacDonald

Createspace Independent Publishing Platform
2012
pokkari
This textbook for the undergraduate vector calculus course presents a unified treatment of vector and geometric calculus. It is a sequel to the text "Linear and Geometric Algebra" by the same author. That text is a prerequisite for this one. Linear algebra and vector calculus have provided the basic vocabulary of mathematics in dimensions greater than one for the past one hundred years. Just as geometric algebra generalizes linear algebra in powerful ways, geometric calculus generalizes vector calculus in powerful ways. Traditional vector calculus topics are covered, as they must be, since readers will encounter them in other texts and out in the world. Differential geometry is used today in many disciplines. A final chapter is devoted to it. Visit the book's web site: http: //faculty.luther.edu/ macdonal/vagc to download the table of contents, preface, and index. From a review of Linear and Geometric Algebra: Alan Macdonald's text is an excellent resource if you are just beginning the study of geometric algebra and would like to learn or review traditional linear algebra in the process. The clarity and evenness of the writing, as well as the originality of presentation that is evident throughout this text, suggest that the author has been successful as a mathematics teacher in the undergraduate classroom. This carefully crafted text is ideal for anyone learning geometric algebra in relative isolation, which I suspect will be the case for many readers. -- Jeffrey Dunham, William R. Kenan Jr. Professor of Natural Sciences, Middlebury College
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Vector Generalized Linear and Additive Models

Vector Generalized Linear and Additive Models

Thomas W. Yee

Springer-Verlag New York Inc.
2015
sidottu
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole.Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs.The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or categorical data analysis and as a methodology resource for VGAM users. In the second part of the book, the R package VGAM allows readers to grasp immediately applications of the methodology. R code is integrated in the text, and datasets are used throughout. Potential applications include ecology, finance, biostatistics, and social sciences. The methodological contribution of this book stands alone and does not require use of the VGAM package.
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Vector Generalized Linear and Additive Models

Vector Generalized Linear and Additive Models

Thomas W. Yee

Springer-Verlag New York Inc.
2016
nidottu
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole.Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs.The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or categorical data analysis and as a methodology resource for VGAM users. In the second part of the book, the R package VGAM allows readers to grasp immediately applications of the methodology. R code is integrated in the text, and datasets are used throughout. Potential applications include ecology, finance, biostatistics, and social sciences. The methodological contribution of this book stands alone and does not require use of the VGAM package.
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VECTOR MECHANICS FOR ENGINEERS: STATICS AND DYNAMICS, SI

VECTOR MECHANICS FOR ENGINEERS: STATICS AND DYNAMICS, SI

Ferdinand Beer; E. Johnston; David Mazurek; Phillip Cornwell; Brian Self

McGraw-Hill
2025
nidottu
Vector Mechanics for Engineers helps students analyze problems in a simple and logical manner and then apply basic principles to their solutions, encouraging a strong conceptual understanding of these basic principles. Offering a unified presentation of the principles of kinetics and a systematic problem-solving approach, the text has proven to be an effective teaching tool, especially when paired with the digital resources available in Connect. The addition of Case Studies in every chapter are based on actual structures and systems, include failures, provide students with real-world engineering applications. And Sample Problems, liberally used at the end of each lesson, align with the SMART methodology to amplify the neat and orderly work students should cultivate in their own solutions.
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VECTOR MECHANICS FOR ENGINEERS: STATICS, SI EDITION

VECTOR MECHANICS FOR ENGINEERS: STATICS, SI EDITION

Ferdinand Beer; E. Johnston; David Mazurek

McGraw-Hill
2025
nidottu
Vector Mechanics for Engineers helps students analyze problems in a simple and logical manner and then apply basic principles to their solutions, encouraging a strong conceptual understanding of these basic principles. Offering a unified presentation of the principles of kinetics and a systematic problem-solving approach, the text has proven to be an effective teaching tool, especially when paired with the digital resources available in Connect. The addition of Case Studies in every chapter are based on actual structures and systems, include failures, provide students with real-world engineering applications. And Sample Problems, liberally used at the end of each lesson, align with the SMART methodology to amplify the neat and orderly work students should cultivate in their own solutions.
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Vector Mechanics for Engineers: Dynamics, SI Edition

Vector Mechanics for Engineers: Dynamics, SI Edition

Ferdinand Beer; E. Johnston; Phillip Cornwell; Brian Self

McGraw-Hill
2025
nidottu
Vector Mechanics for Engineers helps students analyze problems in a simple and logical manner and then apply basic principles to their solutions, encouraging a strong conceptual understanding of these basic principles. Offering a unified presentation of the principles of kinetics and a systematic problem-solving approach, the text has proven to be an effective teaching tool, especially when paired with the digital resources available in Connect. The addition of Case Studies in every chapter are based on actual structures and systems, include failures, provide students with real-world engineering applications. And Sample Problems, liberally used at the end of each lesson, align with the SMART methodology to amplify the neat and orderly work students should cultivate in their own solutions.
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Vector Extrapolation Methods with Applications

Vector Extrapolation Methods with Applications

Avram Sidi

Society For Industrial Appli
2019
pokkari
The first book fully dedicated to the subject of vector extrapolation methods. It is a self-contained, up-to-date, and state-of-the-art reference on the theory and practice of the most useful methods. It covers all aspects of the subject, including development of the methods, their convergence study, numerically stable algorithms for their implementation, and their various applications.
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