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Topology with applications[electronic resource] :topological spaces via near and far /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	514
書名/作者:	Topology with applications : topological spaces via near and far // Somashekhar A. Naimpally, James F. Peters.
作者:	Naimpally, S. A.
其他作者:	Peters, James F.
出版者:	New Jersey : : World Scientific,, c2013.
面頁冊數:	1 online resource (xv, 277 p.)
標題:	Topology.
ISBN:	9789814407663 (electronic bk.)
ISBN:	9814407666 (electronic bk.)
書目註:	Includes bibliographical references and indexes.
內容註:	1. Basic framework. 1.1. Preliminaries. 1.2. Metric space. 1.3. Gap functional and closure of a set. 1.4. Limit of a sequence. 1.5. Continuity. 1.6. Open and closed sets. 1.7. Metric and fine proximities. 1.8. Metric nearness. 1.9. Compactness. 1.10. Lindelöf spaces and characterisations of compactness. 1.11. Completeness and total boundedness. 1.12. Connectedness. 1.13. Chainable metric spaces. 1.14. UC spaces. 1.15. Function spaces. 1.16. Completion. 1.17. Hausdorff metric topology. 1.18. First countable, second countable and separable spaces. 1.19. Dense subspaces and Taimanov's theorem. 1.20. Application: proximal neighbourhoods in cell biology. 1.21. Problems -- 2. What is topology? 2.1. Topology. 2.2. Examples. 2.3. Closed and open sets. 2.4. Closure and interior. 2.5. Connectedness. 2.6. Subspace. 2.7. Bases and subbases. 2.8. More examples. 2.9. First countable, second countable and Lindelöf. 2.10. Application: topology of digital images. 2.11. Problems -- 3. Symmetric proximity. 3.1. Proximities. 3.2. Proximal neighbourhood. 3.3. Application: EF-proximity in visual merchandising. 3.4. Problems -- 4. Continuity and proximal continuity. 4.1. Continuous functions. 4.2. Continuous invariants. 4.3. Application: descriptive EF-proximity in NLO microscopy. 4.4. Problems -- 5. Separation axioms. 5.1 Discovery of the separation axioms. 5.2 Functional separation. 5.3 Observations about EF-proximity. 5.4 Application: distinct points in Hausdorff raster spaces. 5.5. Problems -- 6. Uniform spaces, filters and nets. 6.1. Uniformity via pseudometrics. 6.2. Filters and ultrafilters. 6.3. Ultrafilters. 6.4. Nets (Moore-Smith convergence). 6.5. Equivalence of nets and filters. 6.6. Application: proximal neighbourhoods in camouflage neighbourhood filters. 6.7. Problems -- 7. Compactness and higher separation axioms. 7.1. Compactness: net and filter views. 7.2. Compact subsets. 7.3. Compactness of a Hausdorff space. 7.4. Local compactness. 7.5. Generalisations of compactness. 7.6. Application: compact spaces in forgery detection. 7.7. Problems.
摘要、提要註:	The principal aim of this book is to introduce topology and its many applications viewed within a framework that includes a consideration of compactness, completeness, continuity, filters, function spaces, grills, clusters and bunches, hyperspace topologies, initial and final structures, metric spaces, metrization, nets, proximal continuity, proximity spaces, separation axioms, and uniform spaces. This book provides a complete framework for the study of topology with a variety of applications in science and engineering that include camouflage filters, classification, digital image processing, forgery detection, Hausdorff raster spaces, image analysis, microscopy, paleontology, pattern recognition, population dynamics, stem cell biology, topological psychology, and visual merchandising. It is the first complete presentation on topology with applications considered in the context of proximity spaces, and the nearness and remoteness of sets of objects. A novel feature throughout this book is the use of near and far, discovered by F. Riesz over 100 years ago. In addition, it is the first time that this form of topology is presented in the context of a number of new applications.
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/8501#t=toc

Topology with applications[electronic resource] :topological spaces via near and far /
Naimpally, S. A.

Topology with applicationstopological spaces via near and far /[electronic resource] :Somashekhar A. Naimpally, James F. Peters. - New Jersey :World Scientific,c2013. - 1 online resource (xv, 277 p.)

Includes bibliographical references and indexes.

1. Basic framework. 1.1. Preliminaries. 1.2. Metric space. 1.3. Gap functional and closure of a set. 1.4. Limit of a sequence. 1.5. Continuity. 1.6. Open and closed sets. 1.7. Metric and fine proximities. 1.8. Metric nearness. 1.9. Compactness. 1.10. Lindelöf spaces and characterisations of compactness. 1.11. Completeness and total boundedness. 1.12. Connectedness. 1.13. Chainable metric spaces. 1.14. UC spaces. 1.15. Function spaces. 1.16. Completion. 1.17. Hausdorff metric topology. 1.18. First countable, second countable and separable spaces. 1.19. Dense subspaces and Taimanov's theorem. 1.20. Application: proximal neighbourhoods in cell biology. 1.21. Problems -- 2. What is topology? 2.1. Topology. 2.2. Examples. 2.3. Closed and open sets. 2.4. Closure and interior. 2.5. Connectedness. 2.6. Subspace. 2.7. Bases and subbases. 2.8. More examples. 2.9. First countable, second countable and Lindelöf. 2.10. Application: topology of digital images. 2.11. Problems -- 3. Symmetric proximity. 3.1. Proximities. 3.2. Proximal neighbourhood. 3.3. Application: EF-proximity in visual merchandising. 3.4. Problems -- 4. Continuity and proximal continuity. 4.1. Continuous functions. 4.2. Continuous invariants. 4.3. Application: descriptive EF-proximity in NLO microscopy. 4.4. Problems -- 5. Separation axioms. 5.1 Discovery of the separation axioms. 5.2 Functional separation. 5.3 Observations about EF-proximity. 5.4 Application: distinct points in Hausdorff raster spaces. 5.5. Problems -- 6. Uniform spaces, filters and nets. 6.1. Uniformity via pseudometrics. 6.2. Filters and ultrafilters. 6.3. Ultrafilters. 6.4. Nets (Moore-Smith convergence). 6.5. Equivalence of nets and filters. 6.6. Application: proximal neighbourhoods in camouflage neighbourhood filters. 6.7. Problems -- 7. Compactness and higher separation axioms. 7.1. Compactness: net and filter views. 7.2. Compact subsets. 7.3. Compactness of a Hausdorff space. 7.4. Local compactness. 7.5. Generalisations of compactness. 7.6. Application: compact spaces in forgery detection. 7.7. Problems.

The principal aim of this book is to introduce topology and its many applications viewed within a framework that includes a consideration of compactness, completeness, continuity, filters, function spaces, grills, clusters and bunches, hyperspace topologies, initial and final structures, metric spaces, metrization, nets, proximal continuity, proximity spaces, separation axioms, and uniform spaces. This book provides a complete framework for the study of topology with a variety of applications in science and engineering that include camouflage filters, classification, digital image processing, forgery detection, Hausdorff raster spaces, image analysis, microscopy, paleontology, pattern recognition, population dynamics, stem cell biology, topological psychology, and visual merchandising. It is the first complete presentation on topology with applications considered in the context of proximity spaces, and the nearness and remoteness of sets of objects. A novel feature throughout this book is the use of near and far, discovered by F. Riesz over 100 years ago. In addition, it is the first time that this form of topology is presented in the context of a number of new applications.

ISBN: 9789814407663 (electronic bk.)Subjects--Topical Terms:

405711
Topology.

LC Class. No.: QA611

Dewey Class. No.: 514

Topology with applications[electronic resource] :topological spaces via near and far /
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245 1 0 $a Topology with applications $h [electronic resource] : $b topological spaces via near and far / $c Somashekhar A. Naimpally, James F. Peters.
260 $a New Jersey : $b World Scientific, $c c2013.
300 $a 1 online resource (xv, 277 p.)
504 $a Includes bibliographical references and indexes.
505 0 $a 1. Basic framework. 1.1. Preliminaries. 1.2. Metric space. 1.3. Gap functional and closure of a set. 1.4. Limit of a sequence. 1.5. Continuity. 1.6. Open and closed sets. 1.7. Metric and fine proximities. 1.8. Metric nearness. 1.9. Compactness. 1.10. Lindelöf spaces and characterisations of compactness. 1.11. Completeness and total boundedness. 1.12. Connectedness. 1.13. Chainable metric spaces. 1.14. UC spaces. 1.15. Function spaces. 1.16. Completion. 1.17. Hausdorff metric topology. 1.18. First countable, second countable and separable spaces. 1.19. Dense subspaces and Taimanov's theorem. 1.20. Application: proximal neighbourhoods in cell biology. 1.21. Problems -- 2. What is topology? 2.1. Topology. 2.2. Examples. 2.3. Closed and open sets. 2.4. Closure and interior. 2.5. Connectedness. 2.6. Subspace. 2.7. Bases and subbases. 2.8. More examples. 2.9. First countable, second countable and Lindelöf. 2.10. Application: topology of digital images. 2.11. Problems -- 3. Symmetric proximity. 3.1. Proximities. 3.2. Proximal neighbourhood. 3.3. Application: EF-proximity in visual merchandising. 3.4. Problems -- 4. Continuity and proximal continuity. 4.1. Continuous functions. 4.2. Continuous invariants. 4.3. Application: descriptive EF-proximity in NLO microscopy. 4.4. Problems -- 5. Separation axioms. 5.1 Discovery of the separation axioms. 5.2 Functional separation. 5.3 Observations about EF-proximity. 5.4 Application: distinct points in Hausdorff raster spaces. 5.5. Problems -- 6. Uniform spaces, filters and nets. 6.1. Uniformity via pseudometrics. 6.2. Filters and ultrafilters. 6.3. Ultrafilters. 6.4. Nets (Moore-Smith convergence). 6.5. Equivalence of nets and filters. 6.6. Application: proximal neighbourhoods in camouflage neighbourhood filters. 6.7. Problems -- 7. Compactness and higher separation axioms. 7.1. Compactness: net and filter views. 7.2. Compact subsets. 7.3. Compactness of a Hausdorff space. 7.4. Local compactness. 7.5. Generalisations of compactness. 7.6. Application: compact spaces in forgery detection. 7.7. Problems.
505 8 $a 8. Initial and final structures, embedding. 8.1. Initial structures. 8.2. Embedding. 8.3. Final structures. 8.4. Application: quotient topology in image analysis. 8.5. Problems -- 9. Grills, clusters, bunches and proximal Wallman compactification. 9.1. Grills, clusters and bunches. 9.2. Grills. 9.3. Clans. 9.4. Bunches. 9.5. Clusters. 9.6. Proximal Wallman compactification. 9.7. Examples of compactifications. 9.8. Application: grills in pattern recognition. 9.9. Problems -- 10. Extensions of continuous functions: Taimanov theorem. 10.1. Proximal continuity. 10.2. Generalised Taimanov theorem. 10.3. Comparison of compactifications. 10.4. Application: topological psychology. 10.5. Problems -- 11. Metrisation. 11.1. Structures induced by a metric. 11.2. Uniform metrisation. 11.3. Proximal metrisation. 11.4. Topological metrisation. 11.5. Application: admissible covers in Micropalaeontology. 11.6. Problems -- 12. Function space topologies. 12.1. Topologies and convergences on a set of functions. 12.2. Pointwise convergence. 12.3. Compact open topology. 12.4. Proximal convergence. 12.5. Uniform convergence. 12.6. Pointwise convergence and preservation of continuity. 12.7. Uniform convergence on compacta. 12.8. Graph topologies. 12.9. Inverse uniform convergence for partial functions. 12.10. Application: hit and miss topologies in population dynamics. 12.11. Problems -- 13. Hyperspace topologies. 13.1. Overview of hyperspace topologies. 13.2. Vietoris topology. 13.3. Proximal topology. 13.4. Hausdorff metric (uniform) topology. 13.5. Application: local near sets in Hawking chronologies. 13.6. Problems -- 14. Selected topics: uniformity and metrisation. 14.1. Entourage uniformity. 14.2. Covering uniformity. 14.3. Topological metrisation theorems. 14.4. Tietze's extension theorem. 14.5. Application: local patterns. 14.6. Problems.
520 $a The principal aim of this book is to introduce topology and its many applications viewed within a framework that includes a consideration of compactness, completeness, continuity, filters, function spaces, grills, clusters and bunches, hyperspace topologies, initial and final structures, metric spaces, metrization, nets, proximal continuity, proximity spaces, separation axioms, and uniform spaces. This book provides a complete framework for the study of topology with a variety of applications in science and engineering that include camouflage filters, classification, digital image processing, forgery detection, Hausdorff raster spaces, image analysis, microscopy, paleontology, pattern recognition, population dynamics, stem cell biology, topological psychology, and visual merchandising. It is the first complete presentation on topology with applications considered in the context of proximity spaces, and the nearness and remoteness of sets of objects. A novel feature throughout this book is the use of near and far, discovered by F. Riesz over 100 years ago. In addition, it is the first time that this form of topology is presented in the context of a number of new applications.
588 0 $a Print version record.
650 0 $a Topology. $3 405711
700 1 $a Peters, James F. $3 488466
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8501#t=toc