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Lov?sz L. Combinatorial Problems and Exercises
Издательство North-Holland, 1993, -630 pp.

When the publishers of this book asked me to revise and update my problem book for a second edition, I had to decide how much to change, taking into consideration the fast development of the field (but also that the first edition was out of print). Combinatorics has grown a lot in the last decade, especially in those fields interacting with other branches of mathematics, like polyhedral combinatorics, algebraic combinatorics, combinatorial geometry, random structures and, most significantly, algorithmic combinatorics and complexity theory. (The theory of computing has so many applications in combinatorics, and vice versa, that sometimes it is difficult to draw the border between them.) But combinatorics is a discipline on its own right, and this makes this collection of exercises (subject to some updating) still valid.
I decided not to change the structure and main topics of the book. Any conceptual change (like introducing algorithmic issues consistently, together with an analysis of the algorithms and the complexity classification of the algorithmic problems) would have meant writing a new book. I could not resist, however, to working out a series of exercises on random walks on graphs, and their relations to eigenvalues, expansion properties, and electrical resistance (this area has classical roots but has grown explosively in the last few years). So Chapter 11 became substantially longer.
In some other chapters I also found lines of thought that have been extended in a natural and significant way in the last years. Altogether, I have added about 60 new exercises (more if you count subproblems), simplified several solutions, and corrected those errors that I became aware of.
In the preface of the first edition, I said that I plan a second volume on important topics left out, like matroids, polyhedral combinatorics, lattice geometry, block designs, etc. These topics have grown enormously since then, and to cover all of them would certainly need more than a single volume. 1 still love the procedure of selecting key results in various fields and analyzing them so that their proofs can be broken down to steps adding one idea at a time, thus creating a series of exercises leading up to a main result. (This love was revigorated while working on this new edition.) But writing a new volume is at the moment beyond my time and energy constraints.

Basic enumeration (partitions of sets and numbers, recurrence relations and generating functions, combinatorial identities).
The sieve (inclusion-exclusion, Selberg sieve, second moment method, Mobius function).
Permutations (cycle index polynomial, Hall-Renyi coding, Polya-Redfield method).
Two classical enumeration problems in graph theory (labelled and unlabelled trees, spanning trees of a graph; 1-factors, the Ising problem, restricted permutations).
Parity and duality (Eulerian graphs, planar duality, Speer's Lemma, the linear space of cuts and cycles, planarity criteria).
Connectivity (trees, ear-structures, Menger's Theorem, a calculus of cutsets, flow theory).
Factors of graphs (Konig's Theorem, Tutte's Theorem, the structure of factors of graphs, readability of degree sequences.
ndependent sets of points (keel, games on graphs, a-critical graphs).
Chromatic number (degree conditions, potential, Hajos' construction, x-critical graphs, perfect graphs, chromatic polynomial, planar graphs).
Extremal problems for graphs (girth, degree, and disjoint circuits; existence of subdivisions, paths and Hamiltonian circuits; Turan's Theorem).
Spectra of graphs and random walks (relations to the structure and automorphism group, strongly regular graphs, conductance, resistance, expanding graphs, random walks).
Automorphisms of graphs (Frucht's Theorem, transitive groups, topological problems, endomorphisms).
Hypergraphs (circuits, transversal theory, intersection properties and extremal problems, 2-colorability, integral and fractional packing and covering, normal hypergraphs and perfect graphs).
Ramsey Theory (Ramsey's Theorem, monochromatic paths and circuits in graphs, geometric configurations, Van der Waerden's Theorem, monotonicity and convexity).
Reconstruction (line-graphs, the Reconstruction Conjecture, cancellation property of products).
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