Geometric Combinatorics

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Geometric Combinatorics

Author	: Ezra Miller
Publisher	: American Mathematical Soc.
Total Pages	: 705
Release	: 2007
ISBN-10	: 9780821837368
ISBN-13	: 0821837362
Rating	: 4/5 (362 Downloads)

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Book Synopsis Geometric Combinatorics by : Ezra Miller

Download or read book Geometric Combinatorics written by Ezra Miller and published by American Mathematical Soc.. This book was released on 2007 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometric combinatorics describes a wide area of mathematics that is primarily the study of geometric objects and their combinatorial structure. This text is a compilation of expository articles at the interface between combinatorics and geometry.

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Geometric Combinatorics

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Geometric combinatorics describes a wide area of mathematics that is primarily the study of geometric objects and their combinatorial structure. This text is a

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Lectures in Geometric Combinatorics

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This book presents a course in the geometry of convex polytopes in arbitrary dimension, suitable for an advanced undergraduate or beginning graduate student. Th

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Combinatorics and Finite Geometry

Authors: Steven T. Dougherty

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Type: BOOK - Published: 2020-10-30 - Publisher: Springer Nature

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This undergraduate textbook is suitable for introductory classes in combinatorics and related topics. The book covers a wide range of both pure and applied comb

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Combinatorial Reciprocity Theorems

Authors: Matthias Beck

Categories: Mathematics

Type: BOOK - Published: 2018-12-12 - Publisher: American Mathematical Soc.

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Combinatorial reciprocity is a very interesting phenomenon, which can be described as follows: A polynomial, whose values at positive integers count combinatori

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Geometric Algorithms and Combinatorial Optimization

Authors: Martin Grötschel

Categories: Mathematics

Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Historically, there is a close connection between geometry and optImization. This is illustrated by methods like the gradient method and the simplex method, whi