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Geometry and Complexity Theory - J. M. Landsberg

Geometry and Complexity Theory

(Autor)

Buch | Hardcover
350 Seiten
2017
Cambridge University Press (Verlag)
978-1-107-19923-1 (ISBN)
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A comprehensive introduction to algebraic geometry and representation theory written by a leading expert in the field. For graduate students and researchers in computer science and mathematics, the book demonstrates state-of-the-art techniques to solve real world problems, focusing on P vs NP and the complexity of matrix multiplication.
Two central problems in computer science are P vs NP and the complexity of matrix multiplication. The first is also a leading candidate for the greatest unsolved problem in mathematics. The second is of enormous practical and theoretical importance. Algebraic geometry and representation theory provide fertile ground for advancing work on these problems and others in complexity. This introduction to algebraic complexity theory for graduate students and researchers in computer science and mathematics features concrete examples that demonstrate the application of geometric techniques to real world problems. Written by a noted expert in the field, it offers numerous open questions to motivate future research. Complexity theory has rejuvenated classical geometric questions and brought different areas of mathematics together in new ways. This book will show the beautiful, interesting, and important questions that have arisen as a result.

J. M. Landsberg is Professor of Mathematics at Texas A & M University. He is a leading geometer working in complexity theory, with research interests in differential geometry, algebraic geometry, representation theory, the geometry and application of tensors, and most recently, algebraic complexity theory. The author of over sixty research articles and four books, he has given numerous intensive research courses and lectures at international conferences. He co-organized the fall 2014 semester 'Algorithms and Complexity in Algebraic Geometry' program at the Simons Institute for the Theory of Computing, University of California, Berkeley and served as the UC Berkeley Chancellor's Professor during the program.

1. Introduction; 2. The complexity of matrix multiplication I; 3. The complexity of matrix multiplication II; 4. The complexity of matrix multiplication III; 5. The complexity of matrix multiplication IV; 6. Valiant's hypothesis I; 7. Valiant's hypothesis II; 8. Representation theory and its uses in complexity theory; 9. The Chow variety of products of linear forms; 10. Topics using additional algebraic geometry.

Erscheinungsdatum
Reihe/Serie Cambridge Studies in Advanced Mathematics
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 156 x 235 mm
Gewicht 620 g
Themenwelt Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik Geometrie / Topologie
ISBN-10 1-107-19923-9 / 1107199239
ISBN-13 978-1-107-19923-1 / 9781107199231
Zustand Neuware
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