Analytic Combinatorics

开始时间: 11/06/2015 持续时间: 6 weeks

所在平台: Coursera

课程类别: 数学

大学或机构: Princeton University(普林斯顿大学)

授课老师: Robert Sedgewick



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Analytic Combinatorics is based on formal methods for deriving functional relationships on generating functions and asymptotic analysis treating those functions as functions in the complex plane. This course covers the symbolic method for defining generating functions immediately from combinatorial constructions, then develops methods for directly deriving asymptotic results from those generating functions, using complex asymptotics, singularity analysis, saddle-point asymptotics, and limit laws. The course teaches the precept "if you can specify it, you can analyze it".


Lecture  1  Combinatorial Structures and OGFs
Lecture  2  Labelled Structures and EGFs
Lecture  3  Combinatorial Parameters and MGFs
Lecture  4  Complex Analysis, Rational and Meromorphic Asymptotics
Lecture  5  Applications of Rational and Meromorphic Asymptotics
Lecture  6  Singularity Analysis of Generating Functions
Lecture  7  Applications of Singularity Analysis
Lecture  8  Saddle-Point Asymptotics


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Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.


算法分析 算法 组合分析 组合分析入门 普林斯顿大学



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