Computation of Lyapunov exponents
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src/lyapunov.c
208
src/lyapunov.c
@ -16,10 +16,134 @@ limitations under the License.
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#include "constants.cpp"
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#include "constants.cpp"
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#include "lyapunov.h"
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#include "lyapunov.h"
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#include <cblas.h>
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#include <openblas64/cblas.h>
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#include <openblas64/lapacke.h>
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#include <math.h>
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#include <stdlib.h>
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#define MATSIZE (K1*(2*(K2+1)+K2))
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#define MATSIZE (K1*(2*(K2+1)+K2))
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// compute Lyapunov exponents
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int lyapunov(
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int K1,
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int K2,
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int N1,
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int N2,
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double final_time,
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double lyapunov_reset,
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double nu,
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double D_epsilon,
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double delta,
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double L,
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double adaptive_tolerance,
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double adaptive_factor,
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double max_delta,
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unsigned int adaptive_norm,
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_Complex double* u0,
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_Complex double* g,
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bool irreversible,
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bool keep_en_cst,
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double target_en,
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unsigned int algorithm,
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double starting_time,
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unsigned int nthreads
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){
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double* lyapunov;
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double* lyapunov_avg;
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_Complex double* Du_prod;
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_Complex double* Du;
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_Complex double* u;
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_Complex double* prevu;
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_Complex double* tmp1;
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_Complex double* tmp2;
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_Complex double* tmp3;
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_Complex double* tmp4;
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_Complex double* tmp5;
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_Complex double* tmp6;
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_Complex double* tmp7;
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_Complex double* tmp8;
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_Complex double* tmp9;
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_Complex double* tmp10;
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double time;
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fft_vect fft1;
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fft_vect fft2;
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fft_vect ifft;
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// period
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// add 0.1 to ensure proper rounding
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uint64_t n=(uint64_t)((starting_time-fmod(starting_time, lyapunov_reset))/lyapunov_reset+0.1);
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lyapunov_init_tmps(&lyapunov, &lyapunov_avg, &Du_prod, &Du, &u, &prevu, &tmp1, &tmp2, &tmp3, &tmp4, &tmp5, &tmp6, &tmp7, &tmp8, &tmp9, &tmp10, &fft1, &fft2, &ifft, K1, K2, N1, N2, nthreads, algorithm);
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// copy initial condition
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copy_u(u, u0, K1, K2);
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// store step (useful for adaptive step methods
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double prev_step=delta;
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double step=delta;
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double next_step=step;
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const _Complex double one=1;
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const _Complex double zero=0;
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int i;
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// init average
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for (i=0; i<MATSIZE; i++){
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lyapunov_avg=0;
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}
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// save times at which Lyapunov exponents are computed
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double prevtime=starting_time;
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// iterate
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time=starting_time;
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while(final_time<0 || time<final_time){
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// copy before step
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copy_u(prevu, u, K1, K2);
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prev_step=step;
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ns_step(algorithm, u, K1, K2, N1, N2, nu, &step, &next_step, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, starting_time, fft1, fft2, ifft, &tmp1, &tmp2, tmp3, tmp4, tmp5, tmp6, tmp7, irreversible, keep_en_cst, target_en);
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// compute Jacobian
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// do not touch tmp1, it might be used in the next step
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ns_D_step(Du, prevu, u, K1, K2, N1, N2, nu, D_epsilon, prev_step, algorithm, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, fft1, fft2, ifft, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, tmp9, irreversible, keep_en_cst, target_en);
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// multiply Jacobian
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// switch to column major order, so transpose Du
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cblas_zgemm(CblasColMajor, CblasNoTrans, CblasTrans, MATSIZE, MATSIZE, MATSIZE, &one, Du_prod, MATSIZE, Du, MATSIZE, &zero, tmp10, MATSIZE);
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// copy back to Du_prod
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_Complex double* move=tmp10;
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tmp10=Du_prod;
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Du_prod=move;
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// increment time
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time+=step;
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// reset Jacobian
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if(time>(n+1)*lyapunov_reset){
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n++;
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// QR decomposition
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// do not touch tmp1, it might be used in the next step
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LAPACKE_zgerqf(LAPACK_COL_MAJOR, MATSIZE, MATSIZE, Du_prod, MATSIZE, tmp2);
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// extract eigenvalues (diagonal elements of Du_prod)
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for(i=0; i<MATSIZE; i++){
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lyapunov[i]=log(cabs(Du_prod[i*MATSIZE+i]))/(time-prevtime);
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// add to average
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lyapunov_avg[i]=lyapunov_avg[i]*prevtime/time+lyapunov[i]*(time-prevtime)/time;
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}
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// set Du_prod to Q:
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LAPACKE_zungrq(LAPACK_COL_MAJOR, MATSIZE, MATSIZE, MATSIZE, Du_prod, MATSIZE, tmp2);
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// reset prevtime
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prevtime=time;
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}
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}
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lyapunov_free_tmps(lyapunov, lyapunov_avg, Du_prod, Du, u, prevu, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, tmp9, tmp10, fft1, fft2, ifft, algorithm);
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return(0);
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}
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// Jacobian of u_n -> u_{n+1}
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// Jacobian of u_n -> u_{n+1}
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int ns_D_step(
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int ns_D_step(
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_Complex double* out,
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_Complex double* out,
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@ -77,7 +201,8 @@ int ns_D_step(
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ns_step(algorithm, tmp1, K1, K2, N1, N2, nu, &step, &next_step, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, time, fft1, fft2, ifft, &tmp2, &tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, irreversible, keep_en_cst, target_en);
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ns_step(algorithm, tmp1, K1, K2, N1, N2, nu, &step, &next_step, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, time, fft1, fft2, ifft, &tmp2, &tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, irreversible, keep_en_cst, target_en);
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// compute derivative
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// compute derivative
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for (i=0;i<MATSIZE;i++){
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for (i=0;i<MATSIZE;i++){
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out[i]=(tmp1[i]-un_next[i])/epsilon;
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// use row major order
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out[klookup_sym(lx,ly,K2)*MATSIZE+i]=(tmp1[i]-un_next[i])/epsilon;
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}
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}
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// derivative in the imaginary direction
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// derivative in the imaginary direction
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@ -96,7 +221,8 @@ int ns_D_step(
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ns_step(algorithm, tmp1, K1, K2, N1, N2, nu, &step, &next_step, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, time, fft1, fft2, ifft, &tmp2, &tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, irreversible, keep_en_cst, target_en);
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ns_step(algorithm, tmp1, K1, K2, N1, N2, nu, &step, &next_step, adaptive_tolerance, adaptive_factor, max_delta, adaptive_norm, L, g, time, time, fft1, fft2, ifft, &tmp2, &tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, irreversible, keep_en_cst, target_en);
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// compute derivative
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// compute derivative
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for (i=0;i<MATSIZE;i++){
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for (i=0;i<MATSIZE;i++){
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out[i]+=-(tmp1[i]-un_next[i])/epsilon*I;
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// use row major order
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out[klookup_sym(lx,ly,K2)*MATSIZE+i]=-(tmp1[i]-un_next[i])/epsilon*I;
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}
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}
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}
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}
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}
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}
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@ -105,3 +231,79 @@ int ns_D_step(
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}
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}
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int lyapunov_init_tmps(
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double ** lyapunov,
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double ** lyapunov_avg,
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_Complex double ** Du_prod,
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_Complex double ** Du,
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_Complex double ** u,
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_Complex double ** prevu,
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_Complex double ** tmp1,
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_Complex double ** tmp2,
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_Complex double ** tmp3,
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_Complex double ** tmp4,
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_Complex double ** tmp5,
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_Complex double ** tmp6,
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_Complex double ** tmp7,
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_Complex double ** tmp8,
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_Complex double ** tmp9,
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_Complex double ** tmp10,
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fft_vect* fft1,
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fft_vect* fft2,
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fft_vect* ifft,
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int K1,
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int K2,
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int N1,
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int N2,
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unsigned int nthreads,
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unsigned int algorithm
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){
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ns_init_tmps(u, tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, tmp9, fft1, fft2, ifft, K1, K2, N1, N2, nthreads, algorithm);
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*lyapunov=calloc(sizeof(double),MATSIZE);
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*lyapunov_avg=calloc(sizeof(double),MATSIZE);
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*Du_prod=calloc(sizeof(_Complex double),MATSIZE*MATSIZE);
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*Du=calloc(sizeof(_Complex double),MATSIZE*MATSIZE);
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*prevu=calloc(sizeof(_Complex double),MATSIZE);
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*tmp1=calloc(sizeof(_Complex double),MATSIZE);
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*tmp2=calloc(sizeof(_Complex double),MATSIZE);
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*tmp10=calloc(sizeof(_Complex double),MATSIZE*MATSIZE);
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return(0);
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}
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// release vectors
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int lyapunov_free_tmps(
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double* lyapunov,
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double* lyapunov_avg,
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_Complex double* Du_prod,
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_Complex double* Du,
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_Complex double* u,
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_Complex double* prevu,
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_Complex double* tmp1,
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_Complex double* tmp2,
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_Complex double* tmp3,
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_Complex double* tmp4,
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_Complex double* tmp5,
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_Complex double* tmp6,
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_Complex double* tmp7,
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_Complex double* tmp8,
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_Complex double* tmp9,
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_Complex double* tmp10,
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fft_vect fft1,
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fft_vect fft2,
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fft_vect ifft,
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unsigned int algorithm
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){
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free(tmp10);
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free(tmp2);
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free(tmp1);
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free(prevu);
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free(Du);
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free(Du_prod);
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free(lyapunov_avg);
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free(lyapunov);
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ns_free_tmps(u, tmp3, tmp4, tmp5, tmp6, tmp7, tmp8, tmp9, fft1, fft2, ifft, algorithm);
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return(0);
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}
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@ -19,7 +19,17 @@ limitations under the License.
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#include "navier-stokes.h"
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#include "navier-stokes.h"
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// compute Lyapunov exponents
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int lyapunov( int K1, int K2, int N1, int N2, double final_time, double lyapunov_reset, double nu, double D_epsilon, double delta, double L, double adaptive_tolerance, double adaptive_factor, double max_delta, unsigned int adaptive_norm, _Complex double* u0, _Complex double* g, bool irreversible, bool keep_en_cst, double target_en, unsigned int algorithm, double starting_time, unsigned int nthreads);
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// Jacobian of step
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int ns_D_step( _Complex double* out, _Complex double* un, _Complex double* un_next, int K1, int K2, int N1, int N2, double nu, double epsilon, double delta, unsigned int algorithm, double adaptive_tolerance, double adaptive_factor, double max_delta, unsigned int adaptive_norm, double L, _Complex double* g, double time, fft_vect fft1, fft_vect fft2, fft_vect ifft, _Complex double* tmp1, _Complex double* tmp2, _Complex double* tmp3, _Complex double* tmp4, _Complex double* tmp5, _Complex double* tmp6, _Complex double* tmp7, _Complex double* tmp8, bool irreversible, bool keep_en_cst, double target_en);
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int ns_D_step( _Complex double* out, _Complex double* un, _Complex double* un_next, int K1, int K2, int N1, int N2, double nu, double epsilon, double delta, unsigned int algorithm, double adaptive_tolerance, double adaptive_factor, double max_delta, unsigned int adaptive_norm, double L, _Complex double* g, double time, fft_vect fft1, fft_vect fft2, fft_vect ifft, _Complex double* tmp1, _Complex double* tmp2, _Complex double* tmp3, _Complex double* tmp4, _Complex double* tmp5, _Complex double* tmp6, _Complex double* tmp7, _Complex double* tmp8, bool irreversible, bool keep_en_cst, double target_en);
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// init vectors
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int lyapunov_init_tmps(double** lyapunov, double** lyapunov_avg, _Complex double ** Du_prod, _Complex double ** Du, _Complex double ** u, _Complex double ** prevu, _Complex double ** tmp1, _Complex double ** tmp2, _Complex double ** tmp3, _Complex double ** tmp4, _Complex double ** tmp5, _Complex double ** tmp6, _Complex double ** tmp7, _Complex double ** tmp8, _Complex double ** tmp9, _Complex double** tmp10, fft_vect* fft1, fft_vect* fft2, fft_vect* ifft, int K1, int K2, int N1, int N2, unsigned int nthreads, unsigned int algorithm);
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// release vectors
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int lyapunov_free_tmps(double* lyapunov, double* lyapunov_avg, _Complex double* Du_prod, _Complex double* Du, _Complex double* u, _Complex double* prevu, _Complex double* tmp1, _Complex double* tmp2, _Complex double* tmp3, _Complex double* tmp4, _Complex double* tmp5, _Complex double* tmp6, _Complex double* tmp7, _Complex double* tmp8, _Complex double* tmp9, _Complex double* tmp10, fft_vect fft1, fft_vect fft2, fft_vect ifft, unsigned int algorithm);
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#endif
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#endif
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