Conformal Geometry : : Computational Algorithms and Engineering Applications
Mentés helye:
| Szerző: | |
|---|---|
| Testületi szerző: | |
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : : Springer International Publishing : : Imprint: Springer,,
2018
|
| Kiadás: | 1st ed. 2018. |
| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-3-319-75332-4 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
|
| id |
opac-EUL01-000979174 |
|---|---|
| collection |
e-book |
| institution |
L_200 EUL01 |
| spelling |
Jin, Miao. szerző aut http://id.loc.gov/vocabulary/relators/aut Conformal Geometry : Computational Algorithms and Engineering Applications by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang. 1st ed. 2018. Cham : Springer International Publishing : Imprint: Springer, 2018 XIII, 314 p. online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Introduction -- Topological Algorithms -- Harmonic Map -- Harmonic and Holomorphic Forms -- Discrete Ricci Flow -- Computer Graphics -- Computer Vision -- Geometric Modeling -- Medical Imaging -- Wireless Sensor Networks. This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering. Nyomtatott kiadás: ISBN 9783319753300 Nyomtatott kiadás: ISBN 9783319753317 Nyomtatott kiadás: ISBN 9783030092023 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book Computer science. EUL10000449227 Y Engineering mathematics EUL10000420160 Y Computer vision. EUL10000467498 Y Computational Science and Engineering. Mathematical and Computational Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. elektronikus könyv Gu, Xianfeng. szerző aut http://id.loc.gov/vocabulary/relators/aut He, Ying. szerző aut http://id.loc.gov/vocabulary/relators/aut Wang, Yalin. szerző aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) közreadó testület Online változat https://doi.org/10.1007/978-3-319-75332-4 EUL01 |
| language |
English |
| format |
Book |
| author |
Jin, Miao., szerző |
| spellingShingle |
Jin, Miao., szerző Conformal Geometry : Computational Algorithms and Engineering Applications Computer science. Engineering mathematics Computer vision. Computational Science and Engineering. Mathematical and Computational Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. elektronikus könyv |
| author_facet |
Jin, Miao., szerző Gu, Xianfeng., szerző He, Ying., szerző Wang, Yalin., szerző SpringerLink (Online service), közreadó testület |
| author2 |
Gu, Xianfeng., szerző He, Ying., szerző Wang, Yalin., szerző |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Jin, Miao. |
| title |
Conformal Geometry : Computational Algorithms and Engineering Applications |
| title_sub |
Computational Algorithms and Engineering Applications |
| title_short |
Conformal Geometry : |
| title_full |
Conformal Geometry : Computational Algorithms and Engineering Applications by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang. |
| title_fullStr |
Conformal Geometry : Computational Algorithms and Engineering Applications by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang. |
| title_full_unstemmed |
Conformal Geometry : Computational Algorithms and Engineering Applications by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang. |
| title_auth |
Conformal Geometry : Computational Algorithms and Engineering Applications |
| title_sort |
conformal geometry computational algorithms and engineering applications |
| publishDate |
2018 |
| publishDateSort |
2018 |
| physical |
XIII, 314 p. : online forrás |
| edition |
1st ed. 2018. |
| isbn |
978-3-319-75332-4 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA71-90 |
| callnumber-raw |
979174 |
| callnumber-search |
979174 |
| topic |
Computer science. Engineering mathematics Computer vision. Computational Science and Engineering. Mathematical and Computational Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. elektronikus könyv |
| topic_facet |
Computer science. Engineering mathematics Computer vision. Computational Science and Engineering. Mathematical and Computational Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. elektronikus könyv Computer science. Engineering mathematics Computer vision. Computational Science and Engineering. Mathematical and Computational Engineering. Computer Imaging, Vision, Pattern Recognition and Graphics. |
| url |
https://doi.org/10.1007/978-3-319-75332-4 |
| illustrated |
Not Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
004 - Data processing & computer science |
| dewey-full |
004 |
| dewey-sort |
14 |
| dewey-raw |
004 |
| dewey-search |
004 |
| first_indexed |
2023-12-26T23:20:21Z |
| last_indexed |
2023-12-29T19:19:18Z |
| recordtype |
opac |
| publisher |
Cham : : Springer International Publishing : : Imprint: Springer, |
| _version_ |
1786641340413509632 |
| score |
13,364702 |
| generalnotes |
This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering. |