Topology for Analysis

Topology for Analysis
Author: Albert Wilansky
Publisher: Courier Corporation
Total Pages: 399
Release: 2008-10-17
Genre: Mathematics
ISBN: 0486469034

Starting with the first principles of topology, this volume advances to general analysis. Three levels of examples and problems make it appropriate for students and professionals. Abundant exercises, ordered and numbered by degree of difficulty, illustrate important concepts, and a 40-page appendix includes tables of theorems and counterexamples. 1970 edition.

Computational Topology for Data Analysis

Computational Topology for Data Analysis
Author: Tamal Krishna Dey
Publisher: Cambridge University Press
Total Pages: 456
Release: 2022-03-10
Genre: Mathematics
ISBN: 1009103199

Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained text introduces students and researchers in mathematics and computer science to the current state of the field. The book features a description of mathematical objects and constructs behind recent advances, the algorithms involved, computational considerations, as well as examples of topological structures or ideas that can be used in applications. It provides a thorough treatment of persistent homology together with various extensions – like zigzag persistence and multiparameter persistence – and their applications to different types of data, like point clouds, triangulations, or graph data. Other important topics covered include discrete Morse theory, the Mapper structure, optimal generating cycles, as well as recent advances in embedding TDA within machine learning frameworks.

Analytic Topology

Analytic Topology
Author: Gordon Thomas Whyburn
Publisher: American Mathematical Soc.
Total Pages: 295
Release: 1963
Genre: Mathematics
ISBN: 0821810286

"The material here presented represents an elaboration on my Colloquium Lectures delivered before the American Mathematical Society at its September, 1940 meeting at Dartmouth College." - Preface.

Modern Analysis and Topology

Modern Analysis and Topology
Author: Norman R. Howes
Publisher: Springer Science & Business Media
Total Pages: 434
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461208335

The purpose of this book is to provide an integrated development of modern analysis and topology through the integrating vehicle of uniform spaces. It is intended that the material be accessible to a reader of modest background. An advanced calculus course and an introductory topology course should be adequate. But it is also intended that this book be able to take the reader from that state to the frontiers of modern analysis and topology in-so-far as they can be done within the framework of uniform spaces. Modern analysis is usually developed in the setting of metric spaces although a great deal of harmonic analysis is done on topological groups and much offimctional analysis is done on various topological algebraic structures. All of these spaces are special cases of uniform spaces. Modern topology often involves spaces that are more general than uniform spaces, but the uniform spaces provide a setting general enough to investigate many of the most important ideas in modern topology, including the theories of Stone-Cech compactification, Hewitt Real-compactification and Tamano-Morita Para compactification, together with the theory of rings of continuous functions, while at the same time retaining a structure rich enough to support modern analysis.

Topology and Analysis

Topology and Analysis
Author: D.D. Bleecker
Publisher: Springer Science & Business Media
Total Pages: 467
Release: 2012-12-06
Genre: Mathematics
ISBN: 1468406272

The Motivation. With intensified use of mathematical ideas, the methods and techniques of the various sciences and those for the solution of practical problems demand of the mathematician not only greater readi ness for extra-mathematical applications but also more comprehensive orientations within mathematics. In applications, it is frequently less important to draw the most far-reaching conclusions from a single mathe matical idea than to cover a subject or problem area tentatively by a proper "variety" of mathematical theories. To do this the mathematician must be familiar with the shared as weIl as specific features of differ ent mathematical approaches, and must have experience with their inter connections. The Atiyah-Singer Index Formula, "one of the deepest and hardest results in mathematics", "probably has wider ramifications in topology and analysis than any other single result" (F. Hirzebruch) and offers perhaps a particularly fitting example for such an introduction to "Mathematics": In spi te of i ts difficulty and immensely rich interrela tions, the realm of the Index Formula can be delimited, and thus its ideas and methods can be made accessible to students in their middle * semesters. In fact, the Atiyah-Singer Index Formula has become progressively "easier" and "more transparent" over the years. The discovery of deeper and more comprehensive applications (see Chapter 111. 4) brought with it, not only a vigorous exploration of its methods particularly in the many facetted and always new presentations of the material by M. F.

Analysis and Topology

Analysis and Topology
Author: Simion Stoilow
Publisher: World Scientific
Total Pages: 744
Release: 1998
Genre: Mathematics
ISBN: 9789810227616

The goal of this book is to investigate further the interdisciplinary interaction between Mathematical Analysis and Topology. It provides an attempt to study various approaches in the topological applications and influence to Function Theory, Calculus of Variations, Functional Analysis and Approximation Theory. The volume is dedicated to the memory of S Stoilow.

Perspectives in Analysis, Geometry, and Topology

Perspectives in Analysis, Geometry, and Topology
Author: Ilia Itenberg
Publisher: Springer Science & Business Media
Total Pages: 483
Release: 2011-12-14
Genre: Mathematics
ISBN: 0817682775

The articles in this volume are invited papers from the Marcus Wallenberg symposium and focus on research topics that bridge the gap between analysis, geometry, and topology. The encounters between these three fields are widespread and often provide impetus for major breakthroughs in applications. Topics include new developments in low dimensional topology related to invariants of links and three and four manifolds; Perelman's spectacular proof of the Poincare conjecture; and the recent advances made in algebraic, complex, symplectic, and tropical geometry.

Topological Data Analysis with Applications

Topological Data Analysis with Applications
Author: Gunnar Carlsson
Publisher: Cambridge University Press
Total Pages: 233
Release: 2021-12-16
Genre: Computers
ISBN: 1108838650

This timely text introduces topological data analysis from scratch, with detailed case studies.

Point Set Topology

Point Set Topology
Author: Steven A. Gaal
Publisher: Courier Corporation
Total Pages: 338
Release: 2009-04-23
Genre: Mathematics
ISBN: 0486472221

Suitable for a complete course in topology, this text also functions as a self-contained treatment for independent study. Additional enrichment materials make it equally valuable as a reference. 1964 edition.

Topological Data Analysis for Genomics and Evolution

Topological Data Analysis for Genomics and Evolution
Author: Raúl Rabadán
Publisher: Cambridge University Press
Total Pages: 521
Release: 2019-10-31
Genre: Science
ISBN: 1108753396

Biology has entered the age of Big Data. The technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce questions to a comparison of algebraic invariants, such as numbers, which are typically easier to solve. Topological data analysis is a rapidly-developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolutionary biology alongside mathematicians interested in applied topology.