does anyone have the "leap frog" algorithm matlab script?plz help i need it!

leap frog matlab script or matlab code is what i need

Answer 1

[Walter Roberson]

Google can find SFLA MATLAB code. I have no idea of the quality of it, and I have no idea whether it is legitimate code or will delete everything on your hard disk.

I would keep in mind that if you are doing an assignment or project, that you cannot copy someone else's code.

[Vaibhav]

Can u please give me link .. i am unable to find that

[Walter Roberson]

http://en.pudn.com/downloads353/sourcecode/others/detail1539480_en.html

[Vaibhav]

i created my account in that link still not able to download.

[Walter Roberson]

You could try asking the authors of one of the following papers. Chances are, though, that it would be faster for you to implement it yourself.

http://souhil-mouassa.e-monsite.com/medias/files/a-modified-shuffle-frog-leaping-algorithm-for-multi-objective-optimal-power-flow-1.pdf

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.elsevier-fa83ebc7-b36e-3879-ade9-6c9c82dd6c37

Answer 2

[T S Singh]

You can try the following code. Its an application of Leap Frog Algorithm applied to Simple harmonic Motion

close all
clear all
clc
x(1) = 0.0; % initial position
v(1) = 2.0; % initial velocity
del_t = 0.2; % time increment
k = 0.1; % spring constant
m = 1.0; % mass
Tf = 100.0; % Final time
t = 0:del_t:Tf; 
N = length(t);
v_hlf(1)=v(1)+(0.5*del_t*(-k/m)*x(1));

for j=2:N
    x(j)=x(j-1)+v_hlf(j-1)*del_t;
    v(j)=v_hlf(j-1)+0.5*(del_t*(-k/m)*x(j));
    v_hlf(j)=v(j-1)+0.5*(del_t*(-k/m)*x(j));
end
figure; plot(t, x);
grid on;

Answer 3

[João Socorro Pinheiro Ferreira João Ferreira]

resolver:

O arquivo-m advection\_LW\_pbc.m implementa o método Lax-Wendroff para a equação advecção em $0 \leq x \leq 1$ com condições de contorno periódicas.

\begin{itemize}

\item [(a)] Modifique o arquivo.m para criar uma versão advection\_lf\_pbc.m implementando o leapfrog e verifique se isso é preciso de segunda ordem. Observe que você terá que especificar dois níveis de dados iniciais. Para o conjunto de teste de convergência $U_j^1 = u (x_j, k)$, a solução verdadeira em tempo $k$.

\item [(b)] Modifique advection\_lf\_pbc.m para que os dados iniciais consistam em um pacote de ondas

\begin{equation}

\eta (x) = \exp{(-\beta (x - 0.5)^2}\sin{(\xi x)} \hspace{1.5cm} (Ex. 10.9a)

\label{011121b}

\end{equation}

Descubra a verdadeira solução $u (x, t)$ para esses dados. Usando $\beta = 100$, $\xi = 80$ e $U_j^1 = u (x, k)$, teste se seu código ainda exibe uma precisão de segunda ordem para $k$ e $h$ suficientemente pequena.

\item [(c)] Usando $\beta = 100$, $\xi = 150$ e $U_j^1 = u (x_j, k)$, estime a velocidade do grupo do pacote de onda

calculado com leapfrog usando $m = 199$ e $k = 0.4h$. Quão bem isso se compara com o valor (10.52) predito pela equação modificada?

\end{itemize}

[Steven Lord]

This sounds like a homework assignment. If it is, show us the code you've written to try to solve the problem and ask a specific question about where you're having difficulty and we may be able to provide some guidance.

If you aren't sure where to start because you're not familiar with how to write MATLAB code, I suggest you start with the MATLAB Onramp tutorial (https://www.mathworks.com/support/learn-with-matlab-tutorials.html) to quickly learn the essentials of MATLAB.

If you aren't sure where to start because you're not familiar with the mathematics you'll need to solve the problem, I recommend asking your professor and/or teaching assistant for help.