Stephan eidenbenz (16 Ergebnisse)
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 25th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 99) celebrated the anniversaryof the workshop series at the Centro Stefano Franscini on Monte Verit`a, Ascona, Switzerland, from June 17 to 19, 1999. It was organized… byETH Z urich, sponsored byETH, the Centro Stefano Franscini, the Swiss National Science Foundation, and Swissphone. The workshop looks back on a remarkable tradition of a quarter century, with predecessors organized at various places in Europe. WG 99 has been an insp- ing mix of questions from theoryand practice, and of 74 young scientists and established researchers from all over the world, including Bangladesh, Belgium, Canada, the Czech Republic, France, Germany, Israel, Italy, Japan, Korea, the Netherlands, Russia, the Slovak Republic, Spain, Sweden, Switzerland, the UK, and the USA. Four invited lectures re ect the history, theory, practice and this year s s- ting. Hartmut Noltemeier as the onlyone of four founding members of the WG series who served on the program committee throughout the entire historyof WG talked about past achievements and future challenges of WG and of the eld. Susanne Albers lectured on the theoryof online algorithms. Thomas Lengauer presented practical packing problems from the textile and car manufacturing industries, as well as their solutions. A workshop held at the Centro Stefano Franscini traditionallyo ers a talk that is open to the general (Italian speaking) public Nicola Santoro delivered this Stefano Franscini talk byreporting on computer science, school, and community, as seen from the eye of the storm.
Materials Discovery and Design: By Means of Data Science and Optimal Learning (Springer Series in Materials Science, 280, Band 280) [Hardcover] Lookman, Turab; Eidenbenz, Stephan; Alexander, Frank and Barnes, Cris
Lookman, Turab; Eidenbenz, Stephan; Alexander, Frank; Barnes, Cris
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Zustand: New. Invited Talks.- Molecular Assembly and Computation: From Theory to Experimental Demonstrations.- Towards a Predictive Computational Complexity Theory.- Equivariant Syntax and Semantics.- L(A) = L(B)? Decidability Results from Complete Formal Systems.- Discr.
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Paperback. Zustand: Brand New. 2002 edition. 1096 pages. 9.50x6.00x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Taschenbuch. Zustand: Neu. Neuware - This volume contains the contributions of the 29th International Colloquium on Automata, Languages, and Programming (ICALP) held July8 13, 2002 in M alaga, Spain. The diversityand the qualityof the scienti c program of ICALP 2002 serve as evidence that theoretical computer science with all it…s aspects continues to be a vibrant eld and is increasinglyturning into a valuable and abundant source of ideas and concepts for other research disciplines and app- cations. ICALP has been the main annual scienti c event of the European Assoc- tion for Theoretical Computer Science (EATCS) for almost thirtyyears, making ICALP one of the best-established conferences in theoretical computer science and EATCS one of the world s largest and oldest theoretical computer science organizations. To re ect the two parts of the EATCS journal Theoretical Computer Science (TCS), ICALP s technical program is split into two parts: while track A is - voted to algorithms, automata, complexity, and games, track B focuses on logic, semantics, and theoryof programming.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Taschenbuch. Zustand: Neu. Materials Discovery and Design | By Means of Data Science and Optimal Learning | Turab Lookman (u. a.) | Taschenbuch | Springer Series in Materials Science | xvi | Englisch | 2019 | Springer | EAN 9783030076023 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelbe…rg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications.The challenging open… questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role ofinference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key toachieving the desired goals of real time analysis and feedback.Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes ofin situspatially and temporally resolved data per sample.The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications.The challenging open questi…ons as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role ofinference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key toachieving the desired goals of real time analysis and feedback.Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes ofin situspatially and temporally resolved data per sample.The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
Sprache: Englisch
Verlag: Springer Verlag, 2018
Serie: Springer Series in Materials Science, Buch 189 von 233. Buch 189 von 233 - Springer Series in Materials Science
- Hardcover
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Hardcover. Zustand: Brand New. 256 pages. 9.50x6.50x0.80 inches. In Stock.
