GithubHelp home page GithubHelp logo

dlfivefifty / m3m6appliedcomplexanalysis Goto Github PK

View Code? Open in Web Editor NEW
34.0 8.0 11.0 46.26 MB

Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College

License: MIT License

Smarty 0.31% TeX 99.30% Julia 0.39%

m3m6appliedcomplexanalysis's Introduction

M3M6AppliedComplexAnalysis

Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College

Office Hours: 11:00-12:00 Tuesdays during term, Huxley 6M40

Reading list

  1. M.J. Ablowitz & A.S. Fokas, Complex Variables: Introduction and Applications, Second Edition, Cambridge University Press, 2003
  2. R. Earl, Metric Spaces and Complex Analysis, 2015

See also previous lecture notes for previous course M3M6 Methods of Mathematical Physics

Problem sheets and mastery material

  1. Problem Sheet 1 (Solutions)
  2. Problem Sheet 2 (Solutions)
  3. Problem Sheet 3 (Solutions)
  4. Problem Sheet 4 (Solutions)
  5. Mastery material (Solutions)
  6. Mastery Sheet

Project

  1. Project proposal due 19 Feb 2020
  2. Project due 19 March 2020

Examples of previous projects:

  1. Wasim Rehman, Quantum Mechanics and Matrix Functions via Trapezium Rule
  2. Tianyi Pu, 2D Ideal Fluid Flow Around an Obstacle

Lecture notes

  1. Review of complex analysis
  2. Cauchy's integral formula and Taylor series
  3. Laurent series and residue calculus
  4. Analyticity at infinity
  5. Applications to real integrals
  6. Convergence rate of the trapezium rule
  7. Matrix norms and matrix functions
  8. Matrix functions via Cauchy's integral formula
  9. Computing matrix functions via the trapezium rule
  10. Branch cuts
  11. Representing analytic functions by their behaviour near singularities
  12. Cauchy transforms and Plemelj's theorem
  13. Hilbert transforms
  14. Inverting the Hilbert transform and ideal fluid flow
  15. Electrostatic charges in a potential well
  16. Logarithmic singular integrals
  17. Logarithmic singular integral examples
  18. Inverting logarithmic singular integrals
  19. Orthogonal polynomials
  20. Classical orthogonal polynomials
  21. Orthogonal polynomials and differential equations
  22. Orthogonal polynomials and singular integrals
  23. Hermite polynomials
  24. Riemann–Hilbert problems
  25. Laurent and Toeplitz operators
  26. Half-Fourier and Laplace transforms
  27. The Wiener–Hopf method

m3m6appliedcomplexanalysis's People

Contributors

dlfivefifty avatar

Stargazers

David Wu avatar Anthony Hong avatar  avatar आदित्य देव avatar Leo C. Stein avatar  avatar  avatar  avatar  avatar  avatar Nikos Ignatiadis avatar James Wright avatar Kleanthis Karamvasis avatar Asad Hussain avatar  avatar  avatar Thales Yan  avatar Aravind Dammu avatar Ritajit Kundu avatar  avatar Oromion avatar  avatar Mohammed Salim Ibrahim avatar Fan Grayson avatar Yijiang Huang avatar daviehh avatar Xiao-Xiao Kou avatar Yingbo Ma avatar Peter Curry avatar Junpeng Gao avatar Hugo Chu avatar Henry Antonio Palasciano avatar PINAKI BHATTACHARYYA avatar Timon Salar Gutleb avatar

Watchers

James Cloos avatar  avatar Oromion avatar  avatar Timon Salar Gutleb avatar Mohammed Salim Ibrahim avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.