Dieter Jungnickel – författare

This monograph provides a self-contained presentation of the foundations of finite fields, including a detailed treatment of their algebraic closures. It also covers important advanced topics which are not yet found in textbooks: the primitive normal basis theorem, the existence of primitive elements in affine hyperplanes, and the Niederreiter method for factoring polynomials over finite fields.

We give streamlined and/or clearer proofs for many fundamental results and treat some classical material in an innovative manner. In particular, we emphasize the interplay between arithmetical and structural results, and we introduce Berlekamp algebras in a novel way which provides a deeper understanding of Berlekamp''s celebrated factorization algorithm.

The book provides a thorough grounding in finite field theory for graduate students and researchers in mathematics. In view of its emphasis on applicable and computational aspects, it is also useful for readers working in information and communication engineering, for instance, in signal processing, coding theory, cryptography or computer science.

Ziel dieser vollständig überarbeiteten und erweiterten Neuauflage ist es, eine weitgehend elementare Einführung in ausgewählte Teile der Kombinatorik zu geben. Dabei wird stets versucht, nicht nur die Grundlagen darzustellen, sondern auch in jedem Kapitel exemplarisch einige tiefer liegende Resultate vollständig zu beweisen.

Highlights sind:

Das Buch wendet sich an Dozenten, die eine entsprechende Vorlesung über Kombinatorik halten, sowie an Studenten der Mathematik, denen das Buch als Begleitlektüre zu einer solchen Vorlesung oder zum Selbststudium dienen kann. Angesprochen sind auch Lehrer und Schüler in der gymnasialen Oberstufe, die im Rahmen eines Leistungskurses erste Einblicke in die reizvollen und teilweise sehr direkten Fragestellungen der Kombinatorik gewinnen wollen.

From the reviews of the 2nd edition

The substantial development effort of this text clearly shows through in this new edition with its clear writing, good organisation, comprehensive coverage of essential theory, and well-chosen applications. The proofs of important results and the representation of key algorithms in a Pascal-like notation allow this book to be used in a high-level undergraduate or low-level graduate course on graph theory, combinatorial optimization or computer science algorithms. The well-worked solutions to exercises are a real bonus for self study by students. The book is highly recommended.

Zentralblatt für Mathematik 2005

The third edition of this standard textbook contains additional material: two new application sections (on graphical codes and their decoding) and about two dozen further exercises (with solutions, as throughout the text). Moreover, recent developments have been discussed and referenced, in particular for the travelling salesman problem. The presentation has been improved in many places (for instance, in the chapters on shortest paths and on colorings), and a number of proofs have been reorganized, making them more precise or more transparent.

From the reviews of the previous editions

".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting mathematical results and practical applications. ... the author pays much attention to the inclusion of well-chosen exercises. The reader does not remain helpless; solutions or at least hints are given in the appendix. Except for some small basic mathematical and algorithmic knowledge the book is self-contained. ..." K.Engel, Mathematical Reviews 2002

The substantial development effort of this text, involving multiple editions and trailing in the context of various workshops, university courses and seminar series, clearly shows through in this new edition with its clear writing, good organisation, comprehensive coverage of essential theory, and well-chosen applications. The proofs of important results and the representation of key algorithms in a Pascal-like notation allow this book to be used in a high-level undergraduate or low-level graduate course on graph theory, combinatorial optimization or computer science algorithms. The well-worked solutions to exercises are a real bonus for self study by students. The book is highly recommended. P .B. Gibbons, Zentralblatt für Mathematik 2005

Once again, the new edition has been thoroughly revised. In particular, some further material has been added: more on NP-completeness (especially on dominating sets), a section on the Gallai-Edmonds structure theory for matchings, and about a dozen additional exercises – as always, with solutions. Moreover, the section on the 1-factor theorem has been completely rewritten: it now presents a short direct proof for the more general Berge-Tutte formula. Several recent research developments are discussed and quite a few references have beenadded.

 Diskrete und kontinuierliche Methoden der mathematischen Optimierung werden in diesem Lehrbuch integriert behandelt. Nach einer Einführung werden konvexe Mengen (mit einer Anwendung auf notwendige Optimalitätsbedingungen bei Ungleichungsrestriktionen) behandelt, gefolgt von einer genaueren Betrachtung des Spezialfalls von Polyedern und dessen Zusammenhang zum Linearen Programmieren. Eine ausführliche Darstellung des Simplexverfahrens schließt diesen Teil ab. Danach wird die Konvexität von Funktionen (inklusive einiger Abschwächungen) untersucht und für ein gründliches Studium von Optimalitätskriterien sowie der Lagrange-Dualität verwendet. Schließlich folgen noch ein Ausblick auf allgemeine Algorithmen sowie ein kurzer Anhang zur affinen Geometrie.

In der Neuauflage ist Anordnung und Darstellung des behandelten Stoffs nochmals gründlich im Sinne der aktuellen BA-Studiengänge Mathematik, Wirtschaftswissenschaften und Informatik überarbeitet worden.

From the reviews of the German edition:

"Combinatorial optimization, along with graph algorithms and complexity theory is booming. This book treats the most prominent problems which are polynomially solvable. The Traveling Salesman Problem is discussed as a paradigm of an NP-complete problem. The text is well written, most exercises are quite enlightening and the hints are clear. Algorithms are described very thoroughly. The list of references is impressive and gives good guidance for further reading.

The book can be recommended to beginners as an introductory text as well as for research and industry as a reference."

(OPTIMA)

In this corrected 2nd printing of the first edition the author has made some small modifications: some minor mistakes were corrected and updates to the bibliography provided.