Guide to Analysis

Author: F. Mary Hart

Publisher: Macmillan International Higher Education

ISBN: 1349093904

Category: Applied mathematics

Page: 202

View: 2285

Guide to Analysis aims to minimise the difficulties which arise from the contrast between analysis and sixth form mathematics. It includes historical notes and anecdotes which will help the reader to appreciate how the subject developed to its present form. Plenty of worked and unworked examples, the latter with hints for solution and answers, are also included.

Guide to Analysis

Author: Mary Hart,David Towers

Publisher: Palgrave

ISBN: 9780333794494

Category: Mathematics

Page: 304

View: 3831

This new edition aims to guide undergraduate students through the first year of their mathematics course. It provides a rigorous introduction to Analysis, which takes into account the difficulties students often face when making the transition from A-level mathematics to this higher level. Plenty of examples are provided, some of which have full, detailed solutions, and others which encourage the student to discover and investigate the ideas themselves. Hints are provided, but the book aims to build confidence and understanding in all topics. This second edition has two new substantial chapters, covering integration and powere series, and is updated throughout, taking into account changes in notation.

Guide to Numerical Analysis

Author: N.A

Publisher: Macmillan International Higher Education

ISBN: 1349097845

Category:

Page: 208

View: 6556

A Guide to Functional Analysis

Author: Steven G. Krantz

Publisher: MAA

ISBN: 0883853574

Category: Mathematics

Page: 150

View: 626

This book is a quick but precise and careful introduction to the subject of functional analysis. It covers the basic topics that can be found in a basic graduate analysis text. But it also covers more sophisticated topics such as spectral theory, convexity, and fixed-point theorems. A special feature of the book is that it contains a great many examples and even some applications. It concludes with a statement and proof of Lomonosov's dramatic result about invariant subspaces.

A Guide to Advanced Real Analysis

Author: G. B. Folland

Publisher: MAA

ISBN: 9780883853436

Category: Mathematics

Page: 107

View: 6833

A concise guide to the core material in a graduate level real analysis course.

A Guide to Topology

Author: Steven G. Krantz

Publisher: MAA

ISBN: 9780883853467

Category: Mathematics

Page: 107

View: 531

This book is an outline of the core material in the standard graduate-level real analysis course. It is intended as a resource for students in such a course as well as others who wish to learn or review the subject. On the abstract level, it covers the theory of measure and integration and the basics of point set topology, functional analysis, and the most important types of function spaces. On the more concrete level, it also deals with the applications of these general theories to analysis on Euclidean space: the Lebesgue integral, Hausdorff measure, convolutions, Fourier series and transforms, and distributions. The relevant definitions and major theorems are stated in detail. Proofs, however, are generally presented only as sketches, in such a way that the key ideas are explained but the technical details are omitted. In this way a large amount of material is presented in a concise and readable form.

A Guide to Real Variables

Author: Steven G. Krantz

Publisher: MAA

ISBN: 9780883853443

Category: Mathematics

Page: 147

View: 8444

A Guide to Real Variables is an aid and conceptual support for students taking an undergraduate course on real analysis. It focuses on concepts, results, examples and illustrative figures, rather than the details of proofs, in order to remain a concise guide which students can dip into. The core topics of a first real analysis course are covered, including sequences, series, modes of convergence, the derivative, the integral and metric spaces. The next book in this series, Folland's A Guide to Advanced Real Analysis is designed to naturally follow on from this book, and introduce students to graduate level real analysis. Together these books provide a concise guide to the subject at all levels, ideal for student preparation for exams.

A Guide to Complex Variables

Author: Steven G. Krantz

Publisher: MAA

ISBN: 9780883853382

Category: Mathematics

Page: 182

View: 1504

A quick and easy-to-use introduction to the key topics in complex variables, for mathematicians and non-mathematicians alike.

A Student's Guide to Data and Error Analysis

Author: Herman J. C. Berendsen

Publisher: Cambridge University Press

ISBN: 1139497855

Category: Technology & Engineering

Page: N.A

View: 8938

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Guide to Information Sources in Mathematics and Statistics

Author: Martha A. Tucker,Nancy D. Anderson

Publisher: Libraries Unlimited

ISBN: 9781563087011

Category: Mathematics

Page: 348

View: 4428

Publisher description: This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These resources are grouped by material type. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. A majority of listed electronic resources are free.

The Rough Guide to Genes & Cloning

Author: Rough Guides

Publisher: Rough Guides UK

ISBN: 1848362242

Category: Science

Page: 336

View: 5057

What exactly is a gene? How does cloning actually work? Are designer babies a bad idea? Could we ever clone a human? The Rough Guide To Genes & Cloning answers all these questions and more. From the inside story of cells and their structure and the sleuths who cracked the genetic code to DNA cloning, twins and Dolly the sheep. Illustrated throughout with helpful pictures and diagrams, this Rough Guide turns the microscope on the things that make us what we are.

Subject Guide to Books in Print

An Index to the Publishers' Trade List Annual

Author: N.A

Publisher: N.A

ISBN: N.A

Category: American literature

Page: N.A

View: 2737

Reader's Guide to the History of Science

Author: Arne Hessenbruch

Publisher: Taylor & Francis

ISBN: 9781884964299

Category: Science

Page: 934

View: 9485

"A readers' advisory to the best books on the history of science. Written by 200 international scholars, the 600 comparative essays begin with a bibliography of important works, followed by reviews of those sources in the body of the entry. Important concepts and processes, phenomena, and scientists as well as scientific developments in different countries are covered."--"Outstanding Reference Sources," American Libraries, May 2002.

Sensitivity Analysis in Practice

A Guide to Assessing Scientific Models

Author: Andrea Saltelli,Stefano Tarantola,Francesca Campolongo,Marco Ratto

Publisher: John Wiley & Sons

ISBN: 047087094X

Category: Mathematics

Page: 232

View: 3558

Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.

Review Guide for LPN-LVN Pre-entrance Exam

Author: Mary McDonald,National League for Nursing. Assessment and Evaluation Division

Publisher: Jones & Bartlett Learning

ISBN: 9780763724870

Category: Medical

Page: 373

View: 9304

These best-selling review guides provide an overview of the math, science, and verbal content necessary for admission to AD, BS, LPN, and LVN programs in nursing. Each include approximately 1,000 sample questions and three practice exams in the areas of math, science, and verbal, and contain helpful tips for test preparation.

Resampling Methods

A Practical Guide to Data Analysis

Author: Phillip I. Good

Publisher: Springer Science & Business Media

ISBN: 081764444X

Category: Mathematics

Page: 218

View: 800

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

SPSS 16.0 Guide to Data Analysis

Author: Marija J. Norušis

Publisher: N.A

ISBN: 9780136061366

Category: Mathematics

Page: 653

View: 5552

TheSPSS 16.0 Guide to Data Analysisis a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With theSPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru is incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! Data CD-ROM included.

A Guide to Advanced Linear Algebra

Author: Steven H. Weintraub

Publisher: MAA

ISBN: 0883853515

Category: Mathematics

Page: 251

View: 9346

Linear algebra occupies a central place in modern mathematics. This book provides a rigorous and thorough development of linear algebra at an advanced level, and is directed at graduate students and professional mathematicians. It approaches linear algebra from an algebraic point of view, but its selection of topics is governed not only for their importance in linear algebra itself, but also for their applications throughout mathematics. Students in algebra, analysis, and topology will find much of interest and use to them, and the careful treatment and breadth of subject matter will make this book a valuable reference for mathematicians throughout their professional lives. Topics treated in this book include: vector spaces and linear transformations; dimension counting and applications; representation of linear transformations by matrices; duality; determinants and their uses; rational and especially Jordan canonical form; bilinear forms; inner product spaces; normal linear transformations and the spectral theorem; and an introduction to matrix groups as Lie groups. The book treats vector spaces in full generality, though it concentrates on the finite dimensional case. Also, it treats vector spaces over arbitrary fields, specializing to algebraically closed fields or to the fields of real and complex numbers as necessary.