No BSD License
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sampler - function to sample density and velocities
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...
sampler - function to sample density and velocities
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FNewt(x,a)
Function used by the N-variable Newton's method
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NaiveGE(a,b)
Forward elimination
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bess(m_max,x)
Function to calculate of Bessel function
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bess(m_max,x)
Function to calculate of Bessel function
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colide(v,cell_n,...
colide - Function to process collisions in cells
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colide(v,cell_n,...
colide - Function to process collisions in cells
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fnewt(x,a)
Function used by the N-variable Newton's method
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fund(x,n)
Return function value or derivative
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fund(x,n)
Return function value or derivative
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gravrk(s,time,GM)
The time is not used in this version
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gravrk(s,time,GM)
The time is not used in this version
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intrpf(xi,x,y)
Function to interpolate between data points
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intrpf(xi,x,y)
Function to interpolate between data points
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legndr(n,x)
Legendre polynomials
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legndr(n,x)
Legendre polynomials
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linreg(x,y,sigma)
Function to perform linear regression (fit a line)
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linreg(x,y,sigma)
Function to perform linear regression (fit a line)
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lorzrk(a,time,param)
Function to define the Lorenz model equations
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lorzrk(a,time,param)
Function to define the Lorenz model equations
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mover(x,v,npart, ...
mover - Function to move particles by free flight
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mover(x,v,npart, ...
mover - Function to move particles by free flight
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my_f(x,param)
Error function integrand
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my_f(x,param)
Error function integrand
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naivege(a,b)
x=naivege(a,b) performs naive (no pivoting) Gaussian elimination
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pollsf(x, y, sigma, M)
Function to fit a polynomial to data
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pollsf(x, y, sigma, M)
Function to fit a polynomial to data
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rk4(x,t,tau,derivsRK,param)
Runge-Kutta integrator (4th order)
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rk4(x,t,tau,derivsRK,param)
Runge-Kutta integrator (4th order)
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rkA(x,t,tau,err,derivsRK,para...
Adaptive Runge-Kutta routine
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rka(x,t,tau,err,derivsRK,para...
Adaptive Runge-Kutta routine
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rombf(a,b,N,func,param)
Function to compute integrals by Romberg algorithm
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rombf(a,b,N,func,param)
Function to compute integrals by Romberg algorithm
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sorter(x,npart,ncell,L)
sorter - Function to sort particles into cells
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sorter(x,npart,ncell,L)
sorter - Function to sort particles into cells
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spinview(nviews,wait)
spinview - Routine to rotate a 3D plot
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sprrk(a,time,param)
Function to compute 3 mass-spring system
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sprrk(a,time,param)
Function to compute 3 mass-spring system
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tri_GE(a,b)
Function to solve b = a*x by Gaussian elimination where
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tri_GE(a,b)
Function to solve b = a*x by Gaussian elimination where
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yt=sft(y)
Slow Fourier transform function
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yt=sft(y)
Slow Fourier transform function
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zeroj(m_order,n_zero)
Function which returns the zeros of the Bessel function J(x)
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zeroj(m_order,n_zero)
Function which returns the zeros of the Bessel function J(x)
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aftcs.m
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aftcs.m
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aftcs_p.m
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balle.m
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balle.m
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balle_p.m
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contents.m
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contents.m
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contents.m
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contents.m
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deriv.m
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deriv.m
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deriv_p.m
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dftcs.m
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dftcs.m
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dftcs_p.m
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dsmceq.m
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dsmceq.m
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dsmceq_p.m
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dsmcne.m
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dsmcne.m
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dsmcne_p.m
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factn.m
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factn.m
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facts.m
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facts.m
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fftpoi.m
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fftpoi.m
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fftpoi_p.m
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galrkn.m
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galrkn.m
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galrkn_p.m
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interp.m
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interp.m
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interp_p.m
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jacobi.m
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jacobi.m
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jacobi_p.m
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lorenz.m
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lorenz.m
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lorenz_p.m
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lsftest.m
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lsftest.m
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lsftst_p.m
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newtn.m
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newtn.m
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newtn_p.m
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orbe.m
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orbe.m
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orbe_p.m
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orbec.m
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orbec.m
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orbrk.m
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orbrk.m
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orbrka.m
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orbrka.m
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orthog.m
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orthog.m
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pendul.m
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pendul.m
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pendul_p.m
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pendulv.m
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pendulv.m
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rndoff.m
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rndoff.m
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rndoff_p.m
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schro.m
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schro.m
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schro_p.m
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schrot.m
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schrot.m
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sftdem_p.m
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sftdemo.m
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sftdemo.m
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sprfft.m
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sprfft.m
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sprfft_p.m
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traffic.m
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traffic.m
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trafic_p.m
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View all files
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| zeroj(m_order,n_zero)
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function z = zeroj(m_order,n_zero)
% Function which returns the zeros of the Bessel function J(x)
% z = zeroj(m_order,n_zeros)
% Inputs
% m_order - Order of the Bessel function
% n_zero - Number of the zero
% Output
% z - The "n_zero th" zero of the Bessel function
%% Use asymtotic formula for initial guess
beta = (n_zero + 0.5*m_order - 0.25)*pi;
mu = 4*m_order^2;
z = beta - (mu-1)/(8*beta) - 4*(mu-1)*(7*mu-31)/(3*(8*beta)^3);
%fprintf('Initial guess is %15.10g \n',z);
for i=1:5
jj = bess(m_order+1,z); % Use the recursion relation
deriv = -jj(m_order+2) + ... % to evaluate derivative
m_order/z * jj(m_order+1);
z = z - jj(m_order+1)/deriv; % Newton's root finding
% fprintf('Iteration %g; value = %15.10g \n',i,z);
end
return;
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