eBook PDF Download Digital Library
Author: Michael Drmota
Publisher: Springer Science & Business Media
Published: 2009-04-16
Total Pages: 466
ISBN-13: 3211753575
DOWNLOAD EBOOK →The aim of this book is to provide a thorough introduction to various aspects of trees in random settings and a systematic treatment of the mathematical analysis techniques involved. It should serve as a reference book as well as a basis for future research.
Author: Graham Brightwell
Publisher: Cambridge University Press
Published: 2007-03-08
Total Pages: 27
ISBN-13: 0521872073
DOWNLOAD EBOOK →This volume celebrating the 60th birthday of Béla Bollobás presents the state of the art in combinatorics.
Author: Alexandru Nica
Publisher: Cambridge University Press
Published: 2006-09-07
Total Pages: 430
ISBN-13: 0521858526
DOWNLOAD EBOOK →This 2006 book is a self-contained introduction to free probability theory suitable for an introductory graduate level course.
Author: Béla Bollobás
Publisher: Cambridge University Press
Published: 1986-07-31
Total Pages: 196
ISBN-13: 9780521337038
DOWNLOAD EBOOK →Combinatorics is a book whose main theme is the study of subsets of a finite set. It gives a thorough grounding in the theories of set systems and hypergraphs, while providing an introduction to matroids, designs, combinatorial probability and Ramsey theory for infinite sets. The gems of the theory are emphasized: beautiful results with elegant proofs. The book developed from a course at Louisiana State University and combines a careful presentation with the informal style of those lectures. It should be an ideal text for senior undergraduates and beginning graduates.
Author: D.P. Apte
Publisher: Excel Books India
Published: 2007
Total Pages: 484
ISBN-13: 9788174465207
DOWNLOAD EBOOK →This book covers a selection of topics on combinatorics, probability and discrete mathematics useful to the students of MCA, MBA, computer science and applied mathematics. The book uses a different approach in explaining these subjects, so as to be equally suitable for the students with different backgrounds from commerce to computer engineering. This book not only explains the concepts and provides variety of solved problems, but also helps students to develop insight and perception, to formulate and solve mathematical problems in a creative way. The book includes topics in combinatorics like advance principles of counting, combinatorial identities, concept of probability, random variables and their probability distributions, discrete and continuous standard distributions and jointly random variables, recurrence relations and generating functions. This book completely covers MCA syllabus of Pune University and will also be suitable for undergraduate science courses like B.Sc. as well as management courses.
Author: R. C. Bose
Publisher:
Published: 1984-03-19
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOK →A ``hands-on'' constructive and computational approach to combinatorial topics with real-life modern applications. Provides a simple treatment of the subject. Introduces topics such as counting, designs and graphs. The notation is standard and kept to a minimum. Chapters end with historical remarks and suggestions for further reading.
Author: Béla Bollobás
Publisher: Cambridge University Press
Published: 1997-05-22
Total Pages: 588
ISBN-13: 9780521584722
DOWNLOAD EBOOK →A panorama of combinatorics by the world's experts.
Author: Philippe Flajolet
Publisher: Cambridge University Press
Published: 2009-01-15
Total Pages: 825
ISBN-13: 1139477161
DOWNLOAD EBOOK →Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures such as permutations, sequences, strings, walks, paths, trees, graphs and maps. This account is the definitive treatment of the topic. The authors give full coverage of the underlying mathematics and a thorough treatment of both classical and modern applications of the theory. The text is complemented with exercises, examples, appendices and notes to aid understanding. The book can be used for an advanced undergraduate or a graduate course, or for self-study.
Author: Ross G. Pinsky
Publisher: Springer
Published: 2014-08-09
Total Pages: 165
ISBN-13: 3319079654
DOWNLOAD EBOOK →The primary intent of the book is to introduce an array of beautiful problems in a variety of subjects quickly, pithily and completely rigorously to graduate students and advanced undergraduates. The book takes a number of specific problems and solves them, the needed tools developed along the way in the context of the particular problems. It treats a melange of topics from combinatorial probability theory, number theory, random graph theory and combinatorics. The problems in this book involve the asymptotic analysis of a discrete construct, as some natural parameter of the system tends to infinity. Besides bridging discrete mathematics and mathematical analysis, the book makes a modest attempt at bridging disciplines. The problems were selected with an eye toward accessibility to a wide audience, including advanced undergraduate students. The book could be used for a seminar course in which students present the lectures.
Author: Andrey Kostogryzov
Publisher: BoD – Books on Demand
Published: 2020-04-15
Total Pages: 336
ISBN-13: 1838801030
DOWNLOAD EBOOK →Probabilistic and combinatorial techniques are often used for solving advanced problems. This book describes different probabilistic modeling methods and their applications in various areas, such as artificial intelligence, offshore platforms, social networks, and others. It aims to educate how modern probabilistic and combinatorial models may be created to formalize uncertainties; to train how new probabilistic models can be generated for the systems of complex structures; to describe the correct use of the presented models for rational control in systems creation and operation; and to demonstrate analytical possibilities and practical effects for solving different system problems on each life cycle stage.
