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Coursera - Analytic Combinatorics, Part II

MP4 | AVC 159kbps | English | 960x540 | 30fps | 11 hours | AAC stereo 127kbps | 1.48 GB

Genre: Video Training

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. Part II 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.

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. Part II 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".

Course Syllabus:

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

Coursera – Analytic Combinatorics, Part II的图片2

Coursera – Analytic Combinatorics, Part II的图片3

发布日期: 2016-02-17