GithubHelp home page GithubHelp logo

yoonjaecho / fall_2017_numericalanalysis Goto Github PK

View Code? Open in Web Editor NEW
0.0 2.0 0.0 21 KB

Fall_2017_NumericalAnalysis

License: Apache License 2.0

MATLAB 83.87% M 14.86% Mercury 0.78% Mathematica 0.49%

fall_2017_numericalanalysis's Introduction

[Fall, 2017] CNU Numerical Analysis

Development tools : Matlab

Contents

  1. Free fall
  1. Calculate RMS
  2. Plot example
  1. False position method
  2. Secant method
  3. Modified Secant method
  1. Gold max method
  2. Secondary interpolation method
  1. Matrix multiplication
  2. Naive LU decomposition
  3. Penta band diagonal matrix
  4. Cholesky decompostion
  5. Gauss-Seidel relaxtion
  1. Power method for eigen value, eigen vector
  2. Linear regression through origin
  3. Linear regression
  1. Polynomial regression
  1. Natural Spline
  1. Trapezoidal rule
  2. Romberg differential
  3. Romberg integral(lower triangle matrix)
  4. Romberg integral(upper triangle matrix)

fall_2017_numericalanalysis's People

Contributors

yjcho92 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.