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This edited volume features a curated selection of research in algebraic combinatorics that explores the boundaries of current knowledge in the field. Focusing on topics experiencing broad interest and rapid growth, invited contributors offer survey articles on representation theory, symmetric functions, invariant theory, and the combinatorics of Young tableaux. The volume also addresses subjects at the intersection of algebra, combinatorics, and geometry, including the study of polytopes, lattice points, hyperplane arrangements, crystal graphs, and Grassmannians. All surveys are written at an introductory level that emphasizes recent developments and open problems. An interactive tutorial on Schubert Calculus emphasizes the geometric and topological aspects of the topic and is suitable for combinatorialists as well as geometrically minded researchers seeking to gain familiarity with relevant combinatorial tools. Featured authors include prominent women in the field known for their exceptional writing of deep mathematics in an accessible manner. Each article in this volume was reviewed independently by two referees. The volume is suitable for graduate students and researchers interested in algebraic combinatorics. .
Combinatorics. --- Algebra. --- Mathematics --- Mathematical analysis --- Combinatorics --- Algebra
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This textbook offers the opportunity to create a uniquely engaging combinatorics classroom by embracing Inquiry-Based Learning (IBL) techniques. Readers are provided with a carefully chosen progression of theorems to prove and problems to actively solve. Students will feel a sense of accomplishment as their collective inquiry traces a path from the basics to important generating function techniques. Beginning with an exploration of permutations and combinations that culminates in the Binomial Theorem, the text goes on to guide the study of ordinary and exponential generating functions. These tools underpin the in-depth study of Eulerian, Catalan, and Narayana numbers that follows, and a selection of advanced topics that includes applications to probability and number theory. Throughout, the theory unfolds via over 150 carefully selected problems for students to solve, many of which connect to state-of-the-art research. Inquiry-Based Enumerative Combinatorics is ideal for lower-division undergraduate students majoring in math or computer science, as there are no formal mathematics prerequisites. Because it includes many connections to recent research, students of any level who are interested in combinatorics will also find this a valuable resource.
Combinatorics. --- Combinatorics --- Algebra --- Mathematical analysis --- Combinatorial analysis.
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Using the dichotomy of structure and pseudorandomness as a central theme, this accessible text provides a modern introduction to extremal graph theory and additive combinatorics. Readers will explore central results in additive combinatorics-notably the cornerstone theorems of Roth, Szemerédi, Freiman, and Green-Tao-and will gain additional insights into these ideas through graph theoretic perspectives. Topics discussed include the Turán problem, Szemerédi's graph regularity method, pseudorandom graphs, graph limits, graph homomorphism inequalities, Fourier analysis in additive combinatorics, the structure of set addition, and the sum-product problem. Important combinatorial, graph theoretic, analytic, Fourier, algebraic, and geometric methods are highlighted. Students will appreciate the chapter summaries, many figures and exercises, and freely available lecture videos on MIT OpenCourseWare. Meant as an introduction for students and researchers studying combinatorics, theoretical computer science, analysis, probability, and number theory, the text assumes only basic familiarity with abstract algebra, analysis, and linear algebra.
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519.1 --- Combinatorics. Graph theory --- 519.1 Combinatorics. Graph theory
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519.1 --- Combinatorics. Graph theory --- 519.1 Combinatorics. Graph theory
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519.1 --- Combinatorics. Graph theory --- 519.1 Combinatorics. Graph theory
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Combinatorial geometry. --- Geometric combinatorics --- Geometrical combinatorics --- Combinatorial analysis --- Discrete geometry
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Dieses Lehrbuch vermittelt die Grundlagen und Konzepte der modernen Kombinatorik in anschaulicher Weise. Die verständliche Darlegung richtet sich an Studierende der Mathematik, der Naturwissenschaften, der Informatik und der Wirtschaftswissenschaften und erlaubt einen einfachen und beispielorientierten Zugang zu den Methoden der Kombinatorik. Beginnend mit den Grundaufgaben der Kombinatorik wird der Leser Schritt für Schritt mit weiterführenden Themen wie erzeugende Funktionen, Rekurrenzgleichungen und der Möbiusinversion vertraut gemacht. Eine Vielzahl von Beispielen und Übungsaufgaben mit Lösungen erleichtern das Verständnis und dienen der Vertiefung und praktischen Anwendung des Lehrstoffes. Die vorliegende zweite Auflage ist deutlich erweitert um das für die enumerative Kombinatorik wichtige Thema Graphenpolynome sowie um ein Kapitel „Wörter und Automaten“, das die Anwendung von formalen Sprachen und endlichen Automaten zur Bestimmung von erzeugenden Funktionen für kombinatorische Probleme aufzeigt. Stimme zu ersten Auflage „Die verständliche Darstellungsweise des Autors und die vielen Beispiele ermöglichen es auch Lesern ohne umfangreiche mathematische Kenntnisse dem Inhalt zu folgen.“ Aus einer amazon-Kundenrezension Der Autor Prof. Dr. Peter Tittmann ist Dozent an der Hochschule Mittweida. .
Combinatorics. --- Graph theory. --- Graph Theory.
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combinatorics --- ordered algebraic structures --- enumerative combinatorics --- Combinatorial analysis --- Combinatorial analysis. --- Combinatorics --- Algebra --- Mathematical analysis
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