Full Product Details
Author: Leo Liberti ,
Carlile Lavor
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: 1st ed. 2017
Weight: 4.652kg
ISBN: 9783319607917
ISBN 10: 331960791
Pages: 133
Publication Date: 12 October 2017
Audience:
College/higher education
,
Undergraduate
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
The authors' intended audience is undergraduate students. The book is intensely mathematical. It would probably be more suitable for graduate students in mathematics than undergraduates. (Anthony J. Duben, Computing Reviews, May 14, 2019) The authors make use of the computing system Mathematica to show step-by step proofs. Aimed at students with a solid foundation in linear algebra, this text would be appropriate for upper-level undergraduates or graduate students. (J. A. Bakal, Choice, Vol. 55 (12), August, 2018) This textbook on distance geometry covers some relevant theory with several algorithms presented in Mathematica. ... The featured problems explore graph visualization, sensor networks, molecule topology and more. Beginning graduate students and researchers with a suitable foundation in graph, vector, and matrix theory as well as linear algebra will gain from the modeling explorations here. (Tom Schulte, MAA Reviews, March, 2018)
This textbook on distance geometry covers some relevant theory with several algorithms presented in Mathematica. ... The featured problems explore graph visualization, sensor networks, molecule topology and more. Beginning graduate students and researchers with a suitable foundation in graph, vector, and matrix theory as well as linear algebra will gain from the modeling explorations here. (Tom Schulte, MAA Reviews, March, 2018)
The authors make use of the computing system Mathematica to show step-by step proofs. Aimed at students with a solid foundation in linear algebra, this text would be appropriate for upper-level undergraduates or graduate students. (J. A. Bakal, Choice, Vol. 55 (12), August, 2018) This textbook on distance geometry covers some relevant theory with several algorithms presented in Mathematica. ... The featured problems explore graph visualization, sensor networks, molecule topology and more. Beginning graduate students and researchers with a suitable foundation in graph, vector, and matrix theory as well as linear algebra will gain from the modeling explorations here. (Tom Schulte, MAA Reviews, March, 2018)
Author Information
Leo Liberti is a research director at CNRS and a professor at Ecole Polytechnique, France. Professor Liberti’s mathematical and optimization-related research interests are broad and his publications are extensive. In addition to co-authorship of this present textbook, he has co-edited two volumes with Springer: Distance Geometry, © 2013, 978-1-4614-5127-3 and Global Optimization: From Theory to Implementation, © 2008, 978-0-387-28260-2. Carlile Lavor is a Full Professor at the Department of Applied Mathematics, University of Campinas, Campinas, Brazil. His main research interests are related to theory and applications of distance geometry and geometric algebra. In addition to co-authorship of this present textbook, he is co-author of the SpringerBrief Introduction to Distance Geometry Applied to Molecular Geometry, © 2017, 978-3-319-57182-9, and co-editor of Distance Geometry, © 2013, 978-1-4614-5127-3.
