Browse Source

moved attractorkernels to headers

master
Joshua Moerman 13 years ago
parent
commit
ac0cb177a9
  1. 43
      kernels/Logistic.cpp
  2. 34
      kernels/Logistic.hpp
  3. 39
      kernels/Lorenz3D.cpp
  4. 25
      kernels/Lorenz3D.hpp
  5. 66
      kernels/Polynomial.cpp
  6. 42
      kernels/Polynomial.hpp
  7. 36
      kernels/PolynomialA3D.cpp
  8. 13
      kernels/PolynomialA3D.hpp
  9. 33
      kernels/Unravel3D.cpp
  10. 23
      kernels/Unravel3D.hpp

43
kernels/Logistic.cpp

@ -1,43 +0,0 @@
//
// $filename
// $projectname
//
// Created by Joshua moerman on $TODAY.
// Copyright 2010 Joshua Moerman. All rights reserved.
//
#include "Logistic.hpp"
#include <algorithm>
#pragma mark -
#pragma mark ctors
Logistic::Logistic():
AttractorKernel(3, 3) {
init();
}
Logistic::Logistic(const unsigned int dimension):
AttractorKernel(dimension, dimension) {
init();
}
void Logistic::init() {
// setting some starting values
std::fill_n(vectorOld, dimension, 0.5);
std::fill_n(vectorNew, dimension, 0.5);
}
#pragma mark -
#pragma mark attractor
void Logistic::operator()() {
std::swap(vectorNew, vectorOld);
for(unsigned int i = 0; i < dimension; i++) {
vectorNew[i] = parameters[i]*vectorOld[i]*(1.0 - vectorOld[i]);
}
}

34
kernels/Logistic.hpp

@ -3,24 +3,42 @@
#include "../AttractorKernel.hpp"
#include <algorithm>
class Logistic : public AttractorKernel {
private:
void init();
void init() {
// setting some starting values
std::fill_n(vectorOld, dimension, 0.5);
std::fill_n(vectorNew, dimension, 0.5);
}
public:
Logistic():
AttractorKernel(3, 3) {
init();
}
Logistic();
Logistic(const unsigned int dimension);
virtual void operator()();
Logistic(const unsigned int dimension):
AttractorKernel(dimension, dimension) {
init();
}
virtual void generate_random_parameters(){
for(unsigned int i = 0; i < numberOfParameters; ++i){
virtual void generate_random_parameters() {
for(unsigned int i = 0; i < numberOfParameters; ++i) {
parameters[i] = rand() / double(RAND_MAX) + 3.0;
}
init();
}
virtual void operator()() {
std::swap(vectorNew, vectorOld);
for(unsigned int i = 0; i < dimension; i++) {
vectorNew[i] = parameters[i]*vectorOld[i]*(1.0 - vectorOld[i]);
}
}
};
#endif // LOGISTIC_HPP

39
kernels/Lorenz3D.cpp

@ -1,39 +0,0 @@
#include "Lorenz3D.hpp"
#include <algorithm>
#pragma mark -
#pragma mark ctors
Lorenz3D::Lorenz3D():
AttractorKernel(3, 4) {
init();
}
void Lorenz3D::init() {
// setting some starting values
std::fill_n(vectorOld, dimension, 1.0);
std::fill_n(vectorNew, dimension, 1.0);
}
#pragma mark -
#pragma mark attractor
void Lorenz3D::operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = vectorOld[0] + parameters[0] * parameters[1] * (vectorOld[1] - vectorOld[0]);
vectorNew[1] = vectorOld[1] + parameters[0] * (vectorOld[0] * (parameters[2] - vectorOld[2]) - vectorOld[1]);
vectorNew[2] = vectorOld[2] + parameters[0] * (vectorOld[0] * vectorOld[1] - parameters[3] * vectorOld[2]);
}
/*
4D:
new_point[0] = point[0] + param[0] * param[1] * (point[1] - point[0]);
new_point[1] = point[1] + param[0] * (point[0] * (param[2] - point[2]) - point[1] + point[3]);
new_point[2] = point[2] + param[0] * (point[0] * point[1] - param[3] * point[2]);
new_point[3] = point[3] - param[0] * param[4] * point[0];
break;
*/

25
kernels/Lorenz3D.hpp

@ -5,20 +5,31 @@
class Lorenz3D : public AttractorKernel {
private:
void init();
void init() {
std::fill_n(vectorOld, dimension, 1.0);
std::fill_n(vectorNew, dimension, 1.0);
}
public:
Lorenz3D():
AttractorKernel(3, 4) {
init();
}
Lorenz3D();
virtual void operator()();
virtual void generate_random_parameters(){
virtual void generate_random_parameters() {
parameters[0] = rand() / double(RAND_MAX) * 0.01;
parameters[1] = rand() / double(RAND_MAX) * 10.0 + 23.0;
parameters[2] = rand() / double(RAND_MAX) * 4.0 + 8.0;
parameters[3] = rand() / double(RAND_MAX) * 1.5 + 2.0;
init();
}
virtual void operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = vectorOld[0] + parameters[0] * parameters[1] * (vectorOld[1] - vectorOld[0]);
vectorNew[1] = vectorOld[1] + parameters[0] * (vectorOld[0] * (parameters[2] - vectorOld[2]) - vectorOld[1]);
vectorNew[2] = vectorOld[2] + parameters[0] * (vectorOld[0] * vectorOld[1] - parameters[3] * vectorOld[2]);
}
};

66
kernels/Polynomial.cpp

@ -1,66 +0,0 @@
//
// $filename
// $projectname
//
// Created by Joshua moerman on $TODAY.
// Copyright 2010 Joshua Moerman. All rights reserved.
//
#include "Polynomial.hpp"
#include <algorithm>
unsigned int calculateNumberOfParameters(const unsigned int dimension, const unsigned int orde) {
double n_coef = orde + 1;
for(unsigned int i = 2; i <= dimension; i++) {
n_coef = n_coef*(orde + i)/(i - 1);
}
const unsigned int output = (unsigned int) n_coef;
return output;
}
#pragma mark -
#pragma mark ctors
Polynomial::Polynomial():
AttractorKernel(3, calculateNumberOfParameters(3, 2)), orde(2) {}
Polynomial::Polynomial(const unsigned int dimension, const unsigned int orde):
AttractorKernel(dimension, calculateNumberOfParameters(dimension, orde)), orde(orde) {}
#pragma mark -
#pragma mark attractor
void Polynomial::operator()() {
std::swap(vectorNew, vectorOld);
unsigned int m = 0;
for(unsigned int i = 0; i < dimension; i++) {
vectorNew[i] = parameters[m];
m++;
recur(i, 0, 1, m);
}
}
void Polynomial::recur(unsigned int curr_dimension, unsigned int prev_i, unsigned int n, unsigned int& m, double prev_product) {
double product;
for(unsigned int i = prev_i; i < dimension; i++) {
product = prev_product * vectorOld[i];
vectorNew[curr_dimension] += parameters[m] * product;
m++;
if(n < orde) {
recur(curr_dimension, i, n+1, m, product);
}
}
}

42
kernels/Polynomial.hpp

@ -3,20 +3,52 @@
#include "../AttractorKernel.hpp"
unsigned int calculateNumberOfParameters(const unsigned int dimension, const unsigned int orde) {
double n_coef = orde + 1;
for(unsigned int i = 2; i <= dimension; i++) {
n_coef = n_coef*(orde + i)/(i - 1);
}
const unsigned int output = (unsigned int) n_coef;
return output;
}
class Polynomial : public AttractorKernel {
private:
unsigned int orde;
void recur(unsigned int curr_dimension, unsigned int prev_i, unsigned int n, unsigned int& m, double prev_product=1.0);
void recur(unsigned int curr_dimension, unsigned int prev_i, unsigned int n, unsigned int& m, double prev_product=1.0) {
double product;
for(unsigned int i = prev_i; i < dimension; i++) {
product = prev_product * vectorOld[i];
vectorNew[curr_dimension] += parameters[m] * product;
m++;
if(n < orde) {
recur(curr_dimension, i, n+1, m, product);
}
}
}
public:
Polynomial():
AttractorKernel(3, calculateNumberOfParameters(3, 2)), orde(2) {}
Polynomial(const unsigned int dimensions, const unsigned int orde):
AttractorKernel(dimension, calculateNumberOfParameters(dimension, orde)), orde(orde) {}
Polynomial();
Polynomial(const unsigned int dimensions, const unsigned int orde);
virtual void operator()() {
std::swap(vectorNew, vectorOld);
virtual void operator()();
unsigned int m = 0;
for(unsigned int i = 0; i < dimension; i++) {
vectorNew[i] = parameters[m];
m++;
recur(i, 0, 1, m);
}
}
};
#endif // POLYNOMIAL_HPP

36
kernels/PolynomialA3D.cpp

@ -1,36 +0,0 @@
//
// $filename
// $projectname
//
// Created by Joshua moerman on $TODAY.
// Copyright 2010 Joshua Moerman. All rights reserved.
//
#include "PolynomialA3D.hpp"
#include <algorithm>
#pragma mark -
#pragma mark ctors
PolynomialA3D::PolynomialA3D():
AttractorKernel(3, 3) {}
#pragma mark -
#pragma mark attractor
void PolynomialA3D::operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = parameters[0] + vectorOld[1] - vectorOld[1]*vectorOld[2];
vectorNew[1] = parameters[1] + vectorOld[2] - vectorOld[2]*vectorOld[0];
vectorNew[2] = parameters[2] + vectorOld[0] - vectorOld[0]*vectorOld[1];
}
/*
N dimensional:
for ( unsigned int i = 0; i < dim; i++ ) {
new_point[i] = param[i] + point[(i+1) % dim] - point[(i+1) % dim]*point[(i+2) % dim];
}
*/

13
kernels/PolynomialA3D.hpp

@ -4,14 +4,17 @@
#include "../AttractorKernel.hpp"
class PolynomialA3D : public AttractorKernel {
private:
public:
PolynomialA3D():
AttractorKernel(3, 3) {}
PolynomialA3D();
virtual void operator()();
virtual void operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = parameters[0] + vectorOld[1] - vectorOld[1]*vectorOld[2];
vectorNew[1] = parameters[1] + vectorOld[2] - vectorOld[2]*vectorOld[0];
vectorNew[2] = parameters[2] + vectorOld[0] - vectorOld[0]*vectorOld[1];
}
};
#endif // POLYNOMIALA3D_HPP

33
kernels/Unravel3D.cpp

@ -1,33 +0,0 @@
#include "Unravel3D.hpp"
#include <algorithm>
#include <cmath>
#pragma mark -
#pragma mark ctors
Unravel3D::Unravel3D():
AttractorKernel(3, 7) {}
#pragma mark -
#pragma mark attractor
void Unravel3D::operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = parameters[0]*(vectorOld[2] + parameters[1]);
vectorNew[1] = parameters[2]*(vectorOld[0] + parameters[3]);
vectorNew[2] = parameters[4]*(vectorOld[1] + parameters[5]);
const double dist = vectorNew[0]*vectorNew[0] + vectorNew[1]*vectorNew[1] + vectorNew[2]*vectorNew[2];
if(dist > parameters[6]*parameters[6]) {
const double sqrtDist = std::sqrt(dist);
const double p = 1.0 - parameters[6] * (static_cast<int>(sqrtDist / parameters[6]) + 1.0) / sqrtDist;
vectorNew[0] *= p;
vectorNew[1] *= p;
vectorNew[2] *= p;
}
}

23
kernels/Unravel3D.hpp

@ -3,13 +3,30 @@
#include "../AttractorKernel.hpp"
#include <cmath>
class Unravel3D : public AttractorKernel {
public:
Unravel3D():
AttractorKernel(3, 7) {}
virtual void operator()() {
std::swap(vectorNew, vectorOld);
vectorNew[0] = parameters[0]*(vectorOld[2] + parameters[1]);
vectorNew[1] = parameters[2]*(vectorOld[0] + parameters[3]);
vectorNew[2] = parameters[4]*(vectorOld[1] + parameters[5]);
Unravel3D();
Unravel3D(const unsigned int dimensions);
const double dist = vectorNew[0]*vectorNew[0] + vectorNew[1]*vectorNew[1] + vectorNew[2]*vectorNew[2];
virtual void operator()();
if(dist > parameters[6]*parameters[6]) {
const double sqrtDist = std::sqrt(dist);
const double p = 1.0 - parameters[6] * (static_cast<int>(sqrtDist / parameters[6]) + 1.0) / sqrtDist;
vectorNew[0] *= p;
vectorNew[1] *= p;
vectorNew[2] *= p;
}
}
};