Topology with applications :: topological spaces via near and far /
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 spac...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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World Scientific,
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| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xv, 277 pages) |
| Bibliographie: | Includes bibliographical references and indexes. |
| ISBN: | 9789814407663 9814407666 |
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| 245 | 1 | 0 | |a Topology with applications : |b topological spaces via near and far / |c Somashekhar A. Naimpally, James F. Peters. |
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| 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. | ||
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| contents | 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. 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. |
| ctrlnum | (OCoLC)840506973 |
| dewey-full | 514 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 514 - Topology |
| dewey-raw | 514 |
| dewey-search | 514 |
| dewey-sort | 3514 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
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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. 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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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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. 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| id | ZDB-4-EBA-ocn840506973 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:25:18Z |
| institution | BVB |
| isbn | 9789814407663 9814407666 |
| language | English |
| lccn | 2013427373 |
| oclc_num | 840506973 |
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| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xv, 277 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | World Scientific, |
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| spelling | Naimpally, S. A., author. http://id.loc.gov/authorities/names/n89665409 Topology with applications : topological spaces via near and far / Somashekhar A. Naimpally, James F. Peters. New Jersey : World Scientific, ©2013. 1 online resource (xv, 277 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Bibliography Print version record. 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. 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. 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. Topology. http://id.loc.gov/authorities/subjects/sh85136089 Topologie. MATHEMATICS Topology. bisacsh Topology fast Peters, James F., author. http://id.loc.gov/authorities/names/n83313309 has work: Topology with applications (Text) https://id.oclc.org/worldcat/entity/E39PCGGWpHTpPdtT4cKKJCyprm https://id.oclc.org/worldcat/ontology/hasWork Print version: Naimpally, S.A. Topology with applications. [Hackensack], New Jersey : World Scientific, [2013] 9789814407656 (DLC) 2013427373 (OCoLC)820787122 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=564507 Volltext |
| spellingShingle | Naimpally, S. A. Peters, James F. Topology with applications : topological spaces via near and far / 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. 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. Topology. http://id.loc.gov/authorities/subjects/sh85136089 Topologie. MATHEMATICS Topology. bisacsh Topology fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85136089 |
| title | Topology with applications : topological spaces via near and far / |
| title_auth | Topology with applications : topological spaces via near and far / |
| title_exact_search | Topology with applications : topological spaces via near and far / |
| title_full | Topology with applications : topological spaces via near and far / Somashekhar A. Naimpally, James F. Peters. |
| title_fullStr | Topology with applications : topological spaces via near and far / Somashekhar A. Naimpally, James F. Peters. |
| title_full_unstemmed | Topology with applications : topological spaces via near and far / Somashekhar A. Naimpally, James F. Peters. |
| title_short | Topology with applications : |
| title_sort | topology with applications topological spaces via near and far |
| title_sub | topological spaces via near and far / |
| topic | Topology. http://id.loc.gov/authorities/subjects/sh85136089 Topologie. MATHEMATICS Topology. bisacsh Topology fast |
| topic_facet | Topology. Topologie. MATHEMATICS Topology. Topology |
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