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Switch to doubles.

This commit is contained in:
shikhin 2023-12-05 16:24:51 -05:00
parent 2a68f0801a
commit e0ea9226fa
2 changed files with 130 additions and 130 deletions
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4
public/main.js
View File

@ -163,7 +163,7 @@ function enhance() {
}
function to_float_arr(arr) {
const res = new Float32Array(arr.length)
const res = new Float64Array(arr.length)
for (let i = 0; i < arr.length; i++) {
res[i] = arr[i]
}
@ -174,7 +174,7 @@ function transfer_matrix_to_heap() {
const typed_array = to_float_arr(matrix_entries)
const heap_pointer = Module._malloc(typed_array.length * typed_array.BYTES_PER_ELEMENT)
Module.HEAPF32.set(typed_array, heap_pointer >> 2)
Module.HEAPF64.set(typed_array, heap_pointer >> 3)
return heap_pointer
}

256
src/main.cpp
View File

@ -9,18 +9,18 @@
#include <iostream>
#include <thread>
const std::complex<float> If(0.0f, 1.0f);
const std::complex<double> If(0.0, 1.0);
const std::complex<float> Omega(-1.0f/2.0f, std::sqrt(3.0f) / 2);
const std::complex<float> Omega_sq(-1.0f/2.0f, -std::sqrt(3.0f) / 2);
const std::complex<double> Omega(-1.0/2.0, std::sqrt(3.0) / 2);
const std::complex<double> Omega_sq(-1.0/2.0, -std::sqrt(3.0) / 2);
const float eps = 1e-12;
const float PI = 3.141592653589793238463L;
const float M_2PI = 2*PI;
const double eps = 1e-12;
const double PI = 3.141592653589793238463L;
const double M_2PI = 2*PI;
float p_scale = 3;
float zoom_scale = 1;
float dr_scale;
double p_scale = 3;
double zoom_scale = 1;
double dr_scale;
using emscripten::val;
@ -29,26 +29,26 @@ int d;
size_t width, height;
size_t num_threads;
float *output = nullptr;
double *output = nullptr;
uint32_t *output_buffer = nullptr;
thread_local const val document = val::global("document");
std::array<std::complex<float>, 2> quadratic_solver(float a, float b, float c);
std::array<std::complex<double>, 2> quadratic_solver(double a, double b, double c);
size_t EMSCRIPTEN_KEEPALIVE get_output_buffer() {
return (size_t) output_buffer;
}
float density_default(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b) {
Eigen::MatrixXcf first = Eigen::MatrixXcf::Identity(A.rows(), A.cols()) - (((a / (a*a + b*b)) * A) + (b / (a*a + b*b) * B));
Eigen::MatrixXcf second = (b * A - a * B).inverse();
double density_default(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double a, double b) {
Eigen::MatrixXcd first = Eigen::MatrixXcd::Identity(A.rows(), A.cols()) - (((a / (a*a + b*b)) * A) + (b / (a*a + b*b) * B));
Eigen::MatrixXcd second = (b * A - a * B).inverse();
Eigen::ComplexEigenSolver<Eigen::MatrixXcf> eigensolver(first * second, /* computeEigenvectors = */ false);
Eigen::ComplexEigenSolver<Eigen::MatrixXcd> eigensolver(first * second, /* computeEigenvectors = */ false);
if (eigensolver.info() != Eigen::Success) { return 0; }
auto eigenvalues = eigensolver.eigenvalues();
float value = 0;
double value = 0;
for(size_t i = 0; i < eigenvalues.rows(); i++) {
if (std::abs(eigenvalues[i].imag()) > eps) {
value += std::abs(eigenvalues[i].imag());
@ -58,13 +58,13 @@ float density_default(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b
return value;
}
float density_2(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, float precomp_coeffs[7]) {
//float tt0 = precomp_coeffs[0], tt1 = precomp_coeffs[1], tt00 = precomp_coeffs[2], tt01 = precomp_coeffs[3],
double density_2(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double a, double b, double precomp_coeffs[7]) {
//double tt0 = precomp_coeffs[0], tt1 = precomp_coeffs[1], tt00 = precomp_coeffs[2], tt01 = precomp_coeffs[3],
// tt11 = precomp_coeffs[4];
//auto roots = quadratic_solver(tt1*tt1 - tt11 - 2*tt1*b + 2*b*b,
// -2*tt01 + 2*tt0*tt1 - 2*tt1*a - 2*tt0*b + 4*a*b,
// tt0*tt0 - tt00 - 2*tt0*a + 2*a*a);
//float value = 0;
//double value = 0;
//for (const auto &root : roots) {
// if (root.imag() > eps) {
// value += root.imag() / ((b * root + a) * std::conj(b * root + a)).real();
@ -72,44 +72,44 @@ float density_2(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
//}
//return value;
float value = precomp_coeffs[0] + precomp_coeffs[1]*b + precomp_coeffs[2]*b*b + precomp_coeffs[3]*a
double value = precomp_coeffs[0] + precomp_coeffs[1]*b + precomp_coeffs[2]*b*b + precomp_coeffs[3]*a
+ precomp_coeffs[4]*a*b + precomp_coeffs[5]*a*a;
if (value < eps) { return 0.0f; }
if (value < eps) { return 0.0; }
float x = (precomp_coeffs[6]*b*b + precomp_coeffs[7]*a*b + precomp_coeffs[8]*a*a);
double x = (precomp_coeffs[6]*b*b + precomp_coeffs[7]*a*b + precomp_coeffs[8]*a*a);
value /= (x * x);
return std::sqrt(value);
}
float cubic_solver_cheat(float values[4]) {
double cubic_solver_cheat(double values[4]) {
if (std::abs(values[3]) < eps) {
if (std::abs(values[2]) < eps) {
return 0;
}
auto D = values[1] * values[1] - 4 * values[0] * values[2];
if (D > eps) { return 0; }
return std::sqrt(-D) / (2.0f * values[2]);
return std::sqrt(-D) / (2.0 * values[2]);
}
auto p = -values[2] / (3.0f * values[3]),
q = p*p*p + (values[1]*values[2] - 3.0f*values[0]*values[3]) / (6.0f*(values[3]*values[3])),
r = values[1] / (3.0f*values[3]);
auto p = -values[2] / (3.0 * values[3]),
q = p*p*p + (values[1]*values[2] - 3.0*values[0]*values[3]) / (6.0*(values[3]*values[3])),
r = values[1] / (3.0*values[3]);
auto rp2 = (r - p*p), h = q*q + rp2*rp2*rp2;
if (h < eps) { return 0; }
h = std::sqrt(h);
return std::sqrt(3.0f) * std::abs(std::cbrt(q + h) - std::cbrt(q - h)) / (2.0f);
return std::sqrt(3.0) * std::abs(std::cbrt(q + h) - std::cbrt(q - h)) / (2.0);
}
float density_3(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, float precomp_coeffs_1[7][7],
float precomp_coeffs_2[7][7], float precomp_coeffs_3[7][7], float precomp_coeffs_4[7][7]) {
float values[4] = { 0, 0, 0, 0 };
float a_powers[7] = { 1, a, 0, 0, 0, 0, 0 };
float b_powers[7] = { 1, b, 0, 0, 0, 0, 0 };
double density_3(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double a, double b, double precomp_coeffs_1[7][7],
double precomp_coeffs_2[7][7], double precomp_coeffs_3[7][7], double precomp_coeffs_4[7][7]) {
double values[4] = { 0, 0, 0, 0 };
double a_powers[7] = { 1, a, 0, 0, 0, 0, 0 };
double b_powers[7] = { 1, b, 0, 0, 0, 0, 0 };
for (size_t i = 2; i < 7; i += 1) {
a_powers[i] = a_powers[i - 1] * a;
@ -118,7 +118,7 @@ float density_3(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
for (size_t i = 0; i < 7; i += 1) {
for (size_t j = 0; j < 7; j += 1) {
float prod = a_powers[j] * b_powers[i];
double prod = a_powers[j] * b_powers[i];
values[0] += precomp_coeffs_1[i][j] * prod;
values[1] += precomp_coeffs_2[i][j] * prod;
values[2] += precomp_coeffs_3[i][j] * prod;
@ -129,30 +129,30 @@ float density_3(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
return cubic_solver_cheat(values) / (a*a + b*b);
}
std::array<std::complex<float>, 2> quadratic_solver(float a, float b, float c) {
std::array<std::complex<double>, 2> quadratic_solver(double a, double b, double c) {
if (std::abs(a) < eps) {
// todo
return std::array<std::complex<float>, 2> {0, 0};
return std::array<std::complex<double>, 2> {0, 0};
}
auto D = b*b - 4*a*c;
if (D > eps) {
return std::array<std::complex<float>, 2> {(-b + std::sqrt(D)) / (2 * a),
return std::array<std::complex<double>, 2> {(-b + std::sqrt(D)) / (2 * a),
(-b - std::sqrt(D)) / (2 * a)};
} else if (D < -eps) {
return std::array<std::complex<float>, 2> {(-b + If * std::sqrt(-D)) / (2 * a),
return std::array<std::complex<double>, 2> {(-b + If * std::sqrt(-D)) / (2 * a),
(-b - If * std::sqrt(-D)) / (2 * a)};
} else {
return std::array<std::complex<float>, 2> {(-b) / (2 * a), (-b) / (2 * a)};
return std::array<std::complex<double>, 2> {(-b) / (2 * a), (-b) / (2 * a)};
}
}
// first root returned is real
std::array<std::complex<float>, 3> cubic_solver(float d, float a, float b, float c, size_t &real_roots) {
std::array<std::complex<double>, 3> cubic_solver(double d, double a, double b, double c, size_t &real_roots) {
// stolen from https://github.com/sasamil/Quartic/blob/master/quartic.cpp
if (std::abs(d) < eps) {
auto roots = quadratic_solver(a, b, c);
return std::array<std::complex<float>, 3> { roots[0], roots[1], 0 };
return std::array<std::complex<double>, 3> { roots[0], roots[1], 0 };
}
a /= d; b /= d; c /= d;
@ -168,59 +168,59 @@ std::array<std::complex<float>, 3> cubic_solver(float d, float a, float b, float
t = std::acos(t); a /= 3; q = -2*std::sqrt(q);
real_roots = 3;
return std::array<std::complex<float>, 3> { q*std::cos(t/3) - a,
return std::array<std::complex<double>, 3> { q*std::cos(t/3) - a,
q*std::cos((t + M_2PI) / 3) - a,
q*std::cos((t - M_2PI) / 3) - a };
} else {
float A = -std::pow(std::abs(r) + std::sqrt(r2 - q3), 1.0f/3);
float B;
double A = -std::pow(std::abs(r) + std::sqrt(r2 - q3), 1.0/3);
double B;
if (r < 0) { A = -A; }
if (std::abs(A) < eps) { B = 0; } else { B = q/A; }
a /= 3;
float imaginary_part = 0.5 * std::sqrt(3.0) * (A - B);
float real_part = -0.5 * (A + B) - a;
double imaginary_part = 0.5 * std::sqrt(3.0) * (A - B);
double real_part = -0.5 * (A + B) - a;
if (std::abs(imaginary_part) < eps) {
real_roots = 3;
return std::array<std::complex<float>, 3> { (A + B) - a,
return std::array<std::complex<double>, 3> { (A + B) - a,
real_part, real_part };
} else {
real_roots = 1;
return std::array<std::complex<float>, 3> { (A + B) - a,
return std::array<std::complex<double>, 3> { (A + B) - a,
real_part + If * imaginary_part, real_part - If * imaginary_part };
}
}
/* auto p = -b / (3.0f * a),
q = p*p*p + (b*c - 3.0f*a*d) / (6.0f*(a*a)),
r = c / (3.0f*a);
/* auto p = -b / (3.0 * a),
q = p*p*p + (b*c - 3.0*a*d) / (6.0*(a*a)),
r = c / (3.0*a);
auto rp2 = (r - p*p), h = q*q + rp2*rp2*rp2;
auto h_root = std::sqrt(h + If * 0.0f);
auto x = std::pow(q + h_root, 1.0f/3.0f);
return std::array<std::complex<float>, 3> {x - rp2 / x + p, Omega*x - rp2 / (Omega*x) + p,
auto h_root = std::sqrt(h + If * 0.0);
auto x = std::pow(q + h_root, 1.0/3.0);
return std::array<std::complex<double>, 3> {x - rp2 / x + p, Omega*x - rp2 / (Omega*x) + p,
Omega_sq*x - rp2 / (Omega_sq*x) + p};*/
}
std::array<std::complex<float>, 4> quartic_solver(float e, float a, float b, float c, float d) {
std::array<std::complex<double>, 4> quartic_solver(double e, double a, double b, double c, double d) {
// stolen from https://github.com/sasamil/Quartic/blob/master/quartic.cpp
if (std::abs(e) < eps) {
size_t trash;
auto roots = cubic_solver(a, b, c, d, trash);
return std::array<std::complex<float>, 4> { roots[0], roots[1], roots[2], 0 };
return std::array<std::complex<double>, 4> { roots[0], roots[1], roots[2], 0 };
}
a /= e; b /= e; c /= e; d /= e;
float a3 = -b;
float b3 = a*c -4.*d;
float c3 = -a*a*d - c*c + 4.*b*d;
double a3 = -b;
double b3 = a*c -4.*d;
double c3 = -a*a*d - c*c + 4.*b*d;
size_t iZeroes = 0;
auto x3 = cubic_solver(1, a3, b3, c3, iZeroes);
float q1, q2, p1, p2, D, sqD, y = x3[0].real();
double q1, q2, p1, p2, D, sqD, y = x3[0].real();
if (iZeroes > 1) {
if (std::abs(x3[1].real()) > std::abs(y)) y = x3[1].real();
@ -252,12 +252,12 @@ std::array<std::complex<float>, 4> quartic_solver(float e, float a, float b, flo
return { first[0], first[1], second[0], second[1] };
}
float density_4(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, float precomp_coeffs_1[5][5],
float precomp_coeffs_2[5][5], float precomp_coeffs_3[5][5], float precomp_coeffs_4[5][5],
float precomp_coeffs_5[5][5]) {
float values[5] = { 0, 0, 0, 0, 0 };
float a_powers[5] = { 1, a, a*a, 0, 0 };
float b_powers[5] = { 1, b, b*b, 0, 0 };
double density_4(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double a, double b, double precomp_coeffs_1[5][5],
double precomp_coeffs_2[5][5], double precomp_coeffs_3[5][5], double precomp_coeffs_4[5][5],
double precomp_coeffs_5[5][5]) {
double values[5] = { 0, 0, 0, 0, 0 };
double a_powers[5] = { 1, a, a*a, 0, 0 };
double b_powers[5] = { 1, b, b*b, 0, 0 };
for (size_t i = 3; i < 5; i++) {
a_powers[i] = a_powers[i - 1] * a;
b_powers[i] = b_powers[i - 1] * b;
@ -265,7 +265,7 @@ float density_4(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
for (size_t i = 0; i < 5; i += 1) {
for (size_t j = 0; j < 5; j += 1) {
float prod = a_powers[i] * b_powers[j];
double prod = a_powers[i] * b_powers[j];
values[0] += precomp_coeffs_1[i][j] * prod;
values[1] += precomp_coeffs_2[i][j] * prod;
values[2] += precomp_coeffs_3[i][j] * prod;
@ -275,7 +275,7 @@ float density_4(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
}
auto roots = quartic_solver(values[4], values[3], values[2], values[1], values[0]);
float value = 0;
double value = 0;
for (const auto &root : roots) {
if (root.imag() > eps) {
value += root.imag() / ((a * root + b) * std::conj(a * root + b)).real();
@ -284,62 +284,62 @@ float density_4(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float a, float b, floa
return value;
}
void compute_output_thread(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, size_t idx) {
void compute_output_thread(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, size_t idx) {
for (size_t i = (height / num_threads) * idx; i < (height / num_threads) * (idx + 1); i += 1) {
for (size_t j = 0; j < width; j += 1) {
output[i * width + j] = density_default(A, B, dr_scale * ((j * 2.0f / width) - 1.0f),
-dr_scale * ((i * 2.0f / height) - 1.0f));
output[i * width + j] = density_default(A, B, dr_scale * ((j * 2.0 / width) - 1.0),
-dr_scale * ((i * 2.0 / height) - 1.0));
}
}
}
void compute_output_thread_2(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float precomp_coeffs[7], size_t idx) {
void compute_output_thread_2(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double precomp_coeffs[7], size_t idx) {
for (size_t i = (height / num_threads) * idx; i < (height / num_threads) * (idx + 1); i += 1) {
for (size_t j = 0; j < width; j += 1) {
output[i * width + j] = density_2(A, B, dr_scale * ((j * 2.0f / width) - 1.0f),
-dr_scale * ((i * 2.0f / height) - 1.0f), precomp_coeffs);
output[i * width + j] = density_2(A, B, dr_scale * ((j * 2.0 / width) - 1.0),
-dr_scale * ((i * 2.0 / height) - 1.0), precomp_coeffs);
}
}
}
void compute_output_thread_3(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float precomp_coeffs_1[7][7],
float precomp_coeffs_2[7][7], float precomp_coeffs_3[7][7], float precomp_coeffs_4[7][7],
void compute_output_thread_3(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double precomp_coeffs_1[7][7],
double precomp_coeffs_2[7][7], double precomp_coeffs_3[7][7], double precomp_coeffs_4[7][7],
size_t idx) {
for (size_t i = (height / num_threads) * idx; i < (height / num_threads) * (idx + 1); i += 1) {
for (size_t j = 0; j < width; j += 1) {
output[i * width + j] = density_3(A, B, dr_scale * ((j * 2.0f / width) - 1.0f),
-dr_scale * ((i * 2.0f / height) - 1.0f), precomp_coeffs_1,
output[i * width + j] = density_3(A, B, dr_scale * ((j * 2.0 / width) - 1.0),
-dr_scale * ((i * 2.0 / height) - 1.0), precomp_coeffs_1,
precomp_coeffs_2, precomp_coeffs_3, precomp_coeffs_4);
}
}
}
void compute_output_thread_4(Eigen::MatrixXcf &A, Eigen::MatrixXcf &B, float precomp_coeffs_1[5][5],
float precomp_coeffs_2[5][5], float precomp_coeffs_3[5][5], float precomp_coeffs_4[5][5],
float precomp_coeffs_5[5][5],
void compute_output_thread_4(Eigen::MatrixXcd &A, Eigen::MatrixXcd &B, double precomp_coeffs_1[5][5],
double precomp_coeffs_2[5][5], double precomp_coeffs_3[5][5], double precomp_coeffs_4[5][5],
double precomp_coeffs_5[5][5],
size_t idx) {
for (size_t i = (height / num_threads) * idx; i < (height / num_threads) * (idx + 1); i += 1) {
for (size_t j = 0; j < width; j += 1) {
output[i * width + j] = density_4(A, B, dr_scale * ((j * 2.0f / width) - 1.0f),
-dr_scale * ((i * 2.0f / height) - 1.0f), precomp_coeffs_1,
output[i * width + j] = density_4(A, B, dr_scale * ((j * 2.0 / width) - 1.0),
-dr_scale * ((i * 2.0 / height) - 1.0), precomp_coeffs_1,
precomp_coeffs_2, precomp_coeffs_3, precomp_coeffs_4, precomp_coeffs_5);
}
}
}
void compute_output(Eigen::MatrixXcf &C) {
Eigen::MatrixXcf A = (C + C.adjoint()) / 2.0f;
Eigen::MatrixXcf B = -If * (C - C.adjoint()) / 2.0f;
void compute_output(Eigen::MatrixXcd &C) {
Eigen::MatrixXcd A = (C + C.adjoint()) / 2.0;
Eigen::MatrixXcd B = -If * (C - C.adjoint()) / 2.0;
std::thread *threads = new std::thread[num_threads];
if (d == 2) {
float A_tr = A.trace().real();
float AA_tr = (A*A).trace().real();
float B_tr = B.trace().real();
float BB_tr = (B*B).trace().real();
float AB_tr = (A*B).trace().real();
double A_tr = A.trace().real();
double AA_tr = (A*A).trace().real();
double B_tr = B.trace().real();
double BB_tr = (B*B).trace().real();
double AB_tr = (A*B).trace().real();
float precomp_coeffs[9] = { -AB_tr*AB_tr + 2*A_tr*B_tr*AB_tr - A_tr*A_tr*BB_tr - B_tr*B_tr*AA_tr + AA_tr*BB_tr,
double precomp_coeffs[9] = { -AB_tr*AB_tr + 2*A_tr*B_tr*AB_tr - A_tr*A_tr*BB_tr - B_tr*B_tr*AA_tr + AA_tr*BB_tr,
2*AA_tr*B_tr - 2*A_tr*AB_tr, A_tr*A_tr - 2*AA_tr,
2*BB_tr*A_tr - 2*B_tr*AB_tr, 4*AB_tr - 2*A_tr*B_tr,
B_tr*B_tr - 2*BB_tr,
@ -349,9 +349,9 @@ void compute_output(Eigen::MatrixXcf &C) {
threads[idx] = std::thread(compute_output_thread_2, std::ref(A), std::ref(B), precomp_coeffs, idx);
}
} else if (d == 3) {
float tr[4][4];
Eigen::MatrixXcf A_powers[4] = { Eigen::MatrixXcf::Identity(A.rows(), A.cols()), A, A*A, Eigen::MatrixXcf::Identity(A.rows(), A.cols()) };
Eigen::MatrixXcf B_powers[4] = { Eigen::MatrixXcf::Identity(B.rows(), B.cols()), B, B*B, Eigen::MatrixXcf::Identity(A.rows(), A.cols()) };
double tr[4][4];
Eigen::MatrixXcd A_powers[4] = { Eigen::MatrixXcd::Identity(A.rows(), A.cols()), A, A*A, Eigen::MatrixXcd::Identity(A.rows(), A.cols()) };
Eigen::MatrixXcd B_powers[4] = { Eigen::MatrixXcd::Identity(B.rows(), B.cols()), B, B*B, Eigen::MatrixXcd::Identity(A.rows(), A.cols()) };
A_powers[3] = A_powers[2] * A;
B_powers[3] = B_powers[2] * B;
for (size_t i = 0; i < 4; i += 1) {
@ -360,7 +360,7 @@ void compute_output(Eigen::MatrixXcf &C) {
}
}
float precomp_coeffs_1[7][7] = {{0, 0, 0, -(tr[1][0]*tr[1][0]*tr[1][0]) + 3*tr[1][0]*tr[2][0] -
double precomp_coeffs_1[7][7] = {{0, 0, 0, -(tr[1][0]*tr[1][0]*tr[1][0]) + 3*tr[1][0]*tr[2][0] -
2*tr[3][0], 3*(tr[1][0]*tr[1][0]) - 3*tr[2][0], -6*tr[1][0], 6},
{0, 0, -3*tr[0][1]*(tr[1][0]*tr[1][0]) + 6*tr[1][0]*tr[1][1] +
3*tr[0][1]*tr[2][0] - 6*tr[2][1], 6*tr[0][1]*tr[1][0] - 6*tr[1][1],
@ -374,7 +374,7 @@ void compute_output(Eigen::MatrixXcf &C) {
{-6*tr[0][1], 0, 0, 0, 0, 0, 0},
{6, 0, 0, 0, 0, 0, 0}};
float precomp_coeffs_2[7][7] = {{0, 0, 0, -3*tr[0][1]*tr[1][0]*tr[1][0] +
double precomp_coeffs_2[7][7] = {{0, 0, 0, -3*tr[0][1]*tr[1][0]*tr[1][0] +
6*tr[1][0]*tr[1][1] + 3*tr[0][1]*tr[2][0] - 6*tr[2][1],
6*tr[0][1]*tr[1][0] - 6*tr[1][1], -6*tr[0][1], 0},
{0, 0, -6*tr[0][1]*tr[0][1]*tr[1][0] + 6*tr[0][2]*tr[1][0] + 3*tr[1][0]*tr[1][0]*tr[1][0] +
@ -391,7 +391,7 @@ void compute_output(Eigen::MatrixXcf &C) {
{6*tr[1][0], 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0}};
float precomp_coeffs_3[7][7] = {{0, 0, 0, -3*tr[0][1]*tr[0][1]*tr[1][0] +
double precomp_coeffs_3[7][7] = {{0, 0, 0, -3*tr[0][1]*tr[0][1]*tr[1][0] +
3*tr[0][2]*tr[1][0] + 6*tr[0][1]*tr[1][1] - 6*tr[1][2], 3*tr[0][1]*tr[0][1]
- 3*tr[0][2], 0, 0},
{0, 0, -3*tr[0][1]*tr[0][1]*tr[0][1] + 9*tr[0][1]*tr[0][2] - 6*tr[0][3] +
@ -406,7 +406,7 @@ void compute_output(Eigen::MatrixXcf &C) {
{0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0}};
float precomp_coeffs_4[7][7] = {{0, 0, 0, -(tr[0][1]*tr[0][1]*tr[0][1]) + 3*tr[0][1]*tr[0][2] -
double precomp_coeffs_4[7][7] = {{0, 0, 0, -(tr[0][1]*tr[0][1]*tr[0][1]) + 3*tr[0][1]*tr[0][2] -
2*tr[0][3], 0, 0, 0},
{0, 0, 3*tr[0][1]*tr[0][1]*tr[1][0] - 3*tr[0][2]*tr[1][0] -
6*tr[0][1]*tr[1][1] + 6*tr[1][2], 0, 0, 0, 0},
@ -422,45 +422,45 @@ void compute_output(Eigen::MatrixXcf &C) {
precomp_coeffs_2, precomp_coeffs_3, precomp_coeffs_4, idx);
}
} else if (d == 4) {
float tt0 = A.trace().real();
float tt1 = B.trace().real();
float tt00 = (A*A).trace().real();
float tt01 = (A*B).trace().real();
float tt11 = (B*B).trace().real();
float tt000 = (A*A*A).trace().real();
float tt001 = (A*A*B).trace().real();
float tt011 = (A*B*B).trace().real();
float tt111 = (B*B*B).trace().real();
float tt0000 = (A*A*A*A).trace().real();
float tt0001 = (A*A*A*B).trace().real();
float tt0011 = (A*A*B*B).trace().real();
float tt0101 = (A*B*A*B).trace().real();
float tt0111 = (A*B*B*B).trace().real();
float tt1111 = (B*B*B*B).trace().real();
double tt0 = A.trace().real();
double tt1 = B.trace().real();
double tt00 = (A*A).trace().real();
double tt01 = (A*B).trace().real();
double tt11 = (B*B).trace().real();
double tt000 = (A*A*A).trace().real();
double tt001 = (A*A*B).trace().real();
double tt011 = (A*B*B).trace().real();
double tt111 = (B*B*B).trace().real();
double tt0000 = (A*A*A*A).trace().real();
double tt0001 = (A*A*A*B).trace().real();
double tt0011 = (A*A*B*B).trace().real();
double tt0101 = (A*B*A*B).trace().real();
double tt0111 = (A*B*B*B).trace().real();
double tt1111 = (B*B*B*B).trace().real();
float precomp0[5][5] = {{tt1*tt1*tt1*tt1 - 6*tt1*tt1*tt11 + 3*tt11*tt11 + 8*tt1*tt111 - 6*tt1111,-4*tt1*tt1*tt1 + 12*tt1*tt11 - 8*tt111,12*tt1*tt1 - 12*tt11,-24*tt1,24},
double precomp0[5][5] = {{tt1*tt1*tt1*tt1 - 6*tt1*tt1*tt11 + 3*tt11*tt11 + 8*tt1*tt111 - 6*tt1111,-4*tt1*tt1*tt1 + 12*tt1*tt11 - 8*tt111,12*tt1*tt1 - 12*tt11,-24*tt1,24},
{0,0,0,0,0},
{0,0,0,0,0},
{0,0,0,0,0},
{0,0,0,0,0}};
float precomp1[5][5] = {{-24*tt0111 + 24*tt011*tt1 - 12*tt01*tt1*tt1 + 4*tt0*tt1*tt1*tt1 + 12*tt01*tt11 - 12*tt0*tt1*tt11 + 8*tt0*tt111,- 24*tt011 + 24*tt01*tt1 - 12*tt0*tt1*tt1 + 12*tt0*tt11,-24*tt01 + 24*tt0*tt1,-24*tt0,0},{-4*tt1*tt1*tt1 + 12*tt1*tt11 - 8*tt111,24*tt1*tt1 - 24*tt11,-72*tt1,96,0},
double precomp1[5][5] = {{-24*tt0111 + 24*tt011*tt1 - 12*tt01*tt1*tt1 + 4*tt0*tt1*tt1*tt1 + 12*tt01*tt11 - 12*tt0*tt1*tt11 + 8*tt0*tt111,- 24*tt011 + 24*tt01*tt1 - 12*tt0*tt1*tt1 + 12*tt0*tt11,-24*tt01 + 24*tt0*tt1,-24*tt0,0},{-4*tt1*tt1*tt1 + 12*tt1*tt11 - 8*tt111,24*tt1*tt1 - 24*tt11,-72*tt1,96,0},
{0,0,0,0,0},
{0,0,0,0,0},
{0,0,0,0,0}};
float precomp2[5][5] = {{-24*tt0011 + 12*tt01*tt01 - 12*tt0101 + 24*tt0*tt011 + 24*tt001*tt1 - 24*tt0*tt01*tt1 + 6*tt0*tt0*tt1*tt1 - 6*tt00*tt1*tt1 - 6*tt0*tt0*tt11 + 6*tt00*tt11,-24*tt001 + 24*tt0*tt01 - 12*tt0*tt0*tt1 + 12*tt00*tt1,12*tt0*tt0 - 12*tt00,0,0},
double precomp2[5][5] = {{-24*tt0011 + 12*tt01*tt01 - 12*tt0101 + 24*tt0*tt011 + 24*tt001*tt1 - 24*tt0*tt01*tt1 + 6*tt0*tt0*tt1*tt1 - 6*tt00*tt1*tt1 - 6*tt0*tt0*tt11 + 6*tt00*tt11,-24*tt001 + 24*tt0*tt01 - 12*tt0*tt0*tt1 + 12*tt00*tt1,12*tt0*tt0 - 12*tt00,0,0},
{- 24*tt011 + 24*tt01*tt1 - 12*tt0*tt1*tt1 + 12*tt0*tt11,-48*tt01 + 48*tt0*tt1,-72*tt0,0,0},
{12*tt1*tt1 - 12*tt11,-72*tt1,144,0,0},
{0,0,0,0,0},
{0,0,0,0,0}};
float precomp3[5][5] = {{-24*tt0001 + 24*tt0*tt001 - 12*tt0*tt0*tt01 + 12*tt00*tt01 + 4*tt0*tt0*tt0*tt1 - 12*tt0*tt00*tt1 + 8*tt000*tt1,-4*tt0*tt0*tt0 + 12*tt0*tt00 - 8*tt000,0,0,0},
double precomp3[5][5] = {{-24*tt0001 + 24*tt0*tt001 - 12*tt0*tt0*tt01 + 12*tt00*tt01 + 4*tt0*tt0*tt0*tt1 - 12*tt0*tt00*tt1 + 8*tt000*tt1,-4*tt0*tt0*tt0 + 12*tt0*tt00 - 8*tt000,0,0,0},
{-24*tt001 + 24*tt0*tt01 - 12*tt0*tt0*tt1 + 12*tt00*tt1,24*tt0*tt0 - 24*tt00,0,0,0},{-24*tt01 + 24*tt0*tt1,-72*tt0,0,0,0},
{-24*tt1,96,0,0,0},
{0,0,0,0,0}};
float precomp4[5][5] = {{tt0*tt0*tt0*tt0 - 6*tt0*tt0*tt00 + 3*tt00*tt00 + 8*tt0*tt000 - 6*tt0000,0,0,0,0},
double precomp4[5][5] = {{tt0*tt0*tt0*tt0 - 6*tt0*tt0*tt00 + 3*tt00*tt00 + 8*tt0*tt000 - 6*tt0000,0,0,0,0},
{-4*tt0*tt0*tt0 + 12*tt0*tt00 - 8*tt000,0,0,0,0},{12*tt0*tt0 - 12*tt00,0,0,0,0},
{-24*tt0,0,0,0,0},
{24,0,0,0,0}};
@ -481,14 +481,14 @@ void compute_output(Eigen::MatrixXcf &C) {
for (size_t i = 0; i < height; i += 1) {
for (size_t j = 0; j < width; j += 1) {
float comp = 40.0f * output[i * width + j] / (1 + 40.0f * output[i * width + j]);
uint32_t comp_255 = (uint32_t)((uint8_t)(comp * 255.0f));
double comp = 40.0 * output[i * width + j] / (1 + 40.0 * output[i * width + j]);
uint32_t comp_255 = (uint32_t)((uint8_t)(comp * 255.0));
output_buffer[i * width + j] = (0x000000FF |
((255 - comp_255) << 8) | ((255 - comp_255) << 16) | (comp_255 << 24)) ^ (comp_255 >> 1);
}
}
Eigen::ComplexEigenSolver<Eigen::MatrixXcf> eigensolver(A.inverse() * B);
Eigen::ComplexEigenSolver<Eigen::MatrixXcd> eigensolver(A.inverse() * B);
if (eigensolver.info() != Eigen::Success) { return; }
auto eigenvectors = eigensolver.eigenvectors();
@ -501,7 +501,7 @@ void compute_output(Eigen::MatrixXcf &C) {
}
}
void EMSCRIPTEN_KEEPALIVE set_zoom(float zoom) {
void EMSCRIPTEN_KEEPALIVE set_zoom(double zoom) {
zoom_scale = zoom;
}
@ -509,8 +509,8 @@ void EMSCRIPTEN_KEEPALIVE set_matrix(size_t dim, size_t pointer) {
d = dim;
dr_scale = zoom_scale * dim * p_scale;
float *entries = (float*)pointer;
Eigen::MatrixXcf C = Eigen::MatrixXcf::Zero(d, d);
double *entries = (double*)pointer;
Eigen::MatrixXcd C = Eigen::MatrixXcd::Zero(d, d);
for (size_t i = 0; i < d; i++) {
for (size_t j = 0; j < d; j++) {
C(i, j) = entries[2 * (i * d + j)] + entries[2 * (i * d + j) + 1] * If;
@ -525,9 +525,9 @@ void set_resolution(size_t resolution) {
delete output_buffer;
width = height = resolution;
output = new float[width * height];
output = new double[width * height];
output_buffer = new uint32_t[width * height];
std::memset(output, 0, width * height * sizeof(float));
std::memset(output, 0, width * height * sizeof(double));
}
int main() {