Graphs
Theory and Algorithms
Seiten
2020
Arcler Education Inc (Verlag)
978-1-77407-701-6 (ISBN)
Arcler Education Inc (Verlag)
978-1-77407-701-6 (ISBN)
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Presents a collection of articles featuring graph-based methods and algorithms. The book also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path.
The book Graphs:Theory and Algorithm is a collection of modern articles features several graph-based methods and algorithms. It also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path, as well as in finding minimum spanning trees and matching patterns.
The book Graphs:Theory and Algorithm is a collection of modern articles features several graph-based methods and algorithms. It also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path, as well as in finding minimum spanning trees and matching patterns.
Olga Moreira is a Ph.D. in Astrophysics and B.Sc. in Physics and Applied Mathematics. She is an experienced technical writer and researcher which former fellowships include postgraduate positions at two of the most renown European institutions in the fields of Astrophysics and Space Science (the European Southern Observatory, and the European Space Agency). Presently, she is an independent scientist working on projects involving machine learning and neural networks research as well as peer-reviewing and edition of academic books.
Erscheinungsdatum | 15.01.2021 |
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Sprache | englisch |
Maße | 152 x 229 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Graphentheorie |
ISBN-10 | 1-77407-701-9 / 1774077019 |
ISBN-13 | 978-1-77407-701-6 / 9781774077016 |
Zustand | Neuware |
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