Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

NotificationsYou must be signed in to change notification settings

ruiawang/Numerical-Analysis-Algorithms

Repository files navigation

Implementations of various algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

Information:

  • ab2.m: Implementation of the 2-step Adams-Bashforth method for solving ODEs.
    • Current configuration is for the ODE$y' = 1 + \sin(t)-y$,$y(2)=1$
  • adamspc.m: Implementation of an Adams 2nd order Predictor-Corrector Method, using the explicit 2-step Adams-Bashforth method and the implicit 2-step Adams-Moulton method
    • Current configuration is for the ODE$y' = 1 + (t-y)^2$,$y(2) = 1$.
  • aitken.m: Implementation of Aitken's Delta-Squared Process for Series Acceleration.
    • Current configuration is for the sequence$\left(p_n\right)$ given by$p_n = \sqrt{\frac{1}{3}e^{p_{n-1}}}$.
  • bisection.m: Implementation of Bisection method for finding roots
    • Current configuration is for$f(x) = x + \cos(x)$ in the interval$[-5,5]$ with tolerance$10^{-10}$.
  • broyden.m: Implementation of Broyden's Method for finding solutions to nonlinear systems of equations.
    • Current configuration is for the system$\vec{F}(x,y) = (x^2 + y - 11, x + y^2 - 7)$
  • euler.m: Implementation of Euler's method for solving ODes
    • Current configuration is for the ODE$y' = 1 + (t-y)^2$,$y(2) = 1$. Implementations on multiple step sizes are given.
  • euler_system.m: Implementation of Euler's Method for solving a system of ODEs.
    • Current configuration is for the ODE$y'' = -\sin(y)$,$y(0) = -1$,$y'(0) = 0$.
  • fdm.m: Implementation of the Finite Difference method for solving BVPs of the form$y'' = p(x)y' + q(x)y + r(x)$ with$y\in [a,b]$,$y(a) = \alpha$,$y(b) = \beta$.
    • Current configuration is for the system:$p(x) = 2$,$q(x) = -1$,$r(x) = xe^x - x$, with$a = 0$,$b = 2$,$y(a) = 0$,$y(b) = -4$.
  • fdmlaplace.m: Implementation of the Finite Difference Method for solving PDEs that satisfy Laplace's Equation$u_{xx} + u_{yy} = 0$
    • Current configuration is for the boundary conditions$(x,y)\in [0,1]\times[0,1]$ given by$u(0,y) = \sin(2\pi y)$,$u(1,y) = u(x,0) = u(x,1) = 0$.
  • fixed_point_gauss_seidel.m: Fixed point iteration for a system of nonlinear equations but implemented with the Gauss-Seidel Method.
    • Current configuration is for the system of equations$\vec{G}(x,y) = (\sqrt{1-y^2}, \sqrt{\frac{9-5x^2}{21}})$.
  • fixed_point_system.m: Fixed point iteration for a system of nonlinear equations.
    • Current configuration is for the system of equations$\vec{G}(x,y) = (\sqrt{1-y^2}, \sqrt{\frac{9-5x^2}{21}})$.
  • fixedptiteration.m: Fixed point iteration method for finding roots
    • Current configuration is for the functions:$g(x) = \pi + \frac{1}{2}\sin(\frac{x}{2})$,$g_1(x) = (-2x^2+x+3)^\frac{1}{4}$,$g_2(x) = \sqrt{\frac{1}{2}(-x^4+x+3)}$,$g_3(x) = \sqrt{\frac{x+3}{x^2+2}}$, and$g_4(x) = \frac{3x^4+2x^2+3}{4x^3+4x-1}$.
  • leapfrog: Implementation of the leapfrog method for solving ODEs
    • Current configuration is for the ODE$y' = 1 + \sin(t)-y$,$y(2)=1$.
  • lshooting.m: Implementation of the Linear Shooting Method for solving BVPs of the form$y'' = p(x)y' + q(x)y + r(x)$ with$y\in [a,b]$,$y(a) = \alpha$,$y(b) = \beta$.
    • Current configuration is for the system:$p(x) = 2$,$q(x) = -1$,$r(x) = xe^x - x$, with$a = 0$,$b = 2$,$y(a) = 0$,$y(b) = -4$.
  • meuler.m: Implementation of the Modified Euler's Method for solving ODEs
    • Current configuration is for the ODE$y' = 1 + (t-y)^2$,$y(2) = 1$. Implementations on multiple step sizes are given.
  • modnewton.m: Implementation of a Modified Newton-Raphson method to avoid multiple roots. This is similar to Halley's Method, but instead of using$\frac{f(x)}{\sqrt{|f'(x)|}}$ like in Halley's method, instead using$\frac{f(x)}{f'(x)}$.
    • Current configuration is on the equation$f(x) = e^x - 1 - x - \frac{x^2}{2}$.
  • newton.m: Implementation of the Newton-Raphson method for finding roots.
    • Current configuration is on the equation$f(x) = e^x - 1 - x - \frac{x^2}{2}$, with tolerance of$10^{-10}$ and initial guess of$p_0 = 1$.
  • newtonsys.m: Implementation of the Newton-Raphson method for a system of nonlinear equations.
    • Current configuration is for the system$\vec{F}(x,y) = (x^2 + y - 11, x + y^2 - 7)$, with an initial guess of$(-0.164, 1)$.
  • nlshooting.m: Implementation of the Nonlinear Shooting Method for solving BVPs of the form$y'' = p(x)y' + q(x)y + r(x)$ with$y\in [a,b]$,$y(a) = \alpha$,$y(b) = \beta$.
    • Current configuration is for the system:$p(x) = 2$,$q(x) = -1$,$r(x) = xe^x - x$, with$a = 0$,$b = 2$,$y(a) = 0$,$y(b) = -4$.
  • rk4_system.m: Implementation of the 4th order Runge-Kutta method for solving a system of ODEs.
    • Current configuration is for the ODE$y'' = -y$,$y(0) = 1$,$y'(0) = 0$.
  • secant.m: Implementation of the Secant method for finding roots
    • Current configuration is for the function$f(x) = -x^3-\cos(x)$ with tolerance$10^{-20}$ and a maximum of$100$ iterations with the initial guesses$p_0 =-1$,$p_1 = 0$.
  • spline.m: Building splines with natural boundary conditions.
    • Current configuration is for building a cubic spline for the points$(0.1, -0.62049958), (0.2,-0.28398668), (0.3, 0.00660095), (0.4,0.24842440)$.
  • steepdesc.m: Implementation of Steepest Gradient Descent for solving systems of nonlinear equations.
    • Current configuration is for the system$\vec{F}(x,y) = (x^2 + y - 11, x + y^2 - 7)$, with an initial guess of$(-0.164, 1)$.

[8]ページ先頭

©2009-2025 Movatter.jp