AutomaticDifferentiation/AutomaticDifferentiationVector.hpp

401 lines
12 KiB
C++
Raw Normal View History

2019-03-24 19:13:06 +01:00
#ifndef DEF_AUTOMATIC_DIFFERENTIATION
#define DEF_AUTOMATIC_DIFFERENTIATION
#include <assert.h>
2019-03-24 19:13:06 +01:00
#include <cmath>
#include <ostream>
#include <valarray>
template<typename T>
std::ostream & operator<<(std::ostream & out, std::valarray<T> const& v)
{
for(size_t i = 0 ; i < v.size() ; i++)
out << v[i] << " ";
return out;
}
2019-03-24 19:13:06 +01:00
/// Implementation of dual numbers for automatic differentiation.
/// This implementation uses vectors for b so that function gradients can be computed in one function call.
/// Set the index of every variable with the ::d(int i) function and call the function to be computed : f(x+DualVector::d(0), y+DualVector::d(1), z+DualVector::d(2), ...)
/// reference : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.89.7749&rep=rep1&type=pdf
template<typename Scalar, int N>
class DualVector
{
public:
using VectorT = std::valarray<Scalar>;
2019-03-24 19:13:06 +01:00
static VectorT __create_VectorT_zeros()
{
VectorT res(Scalar(0.), N);
return res;
}
DualVector(const Scalar & _a, const VectorT & _b = DualVector::__create_VectorT_zeros())
2019-03-24 19:13:06 +01:00
: a(_a),
b(_b)
{}
DualVector(const Scalar & _a, const Scalar & _b)
: a(_a)
{
2019-03-25 21:09:11 +01:00
b = VectorT(_b, N);
2019-03-24 19:13:06 +01:00
}
/// Use this function to set what variable is to be derived : x + DualVector::d(i)
2019-03-24 19:13:06 +01:00
static DualVector d(int i = 0)
{
assert(i >= 0);
assert(i < N);
VectorT _d = DualVector::__create_VectorT_zeros();
2019-03-24 19:13:06 +01:00
_d[i] = Scalar(1.);
return DualVector(Scalar(0.), _d);
}
/// Use this function to set what variable is to be derived.
DualVector const& diff(int i = 0)
{
assert(i >= 0);
assert(i < N);
b = DualVector::__create_VectorT_zeros();
b[i] = Scalar(1.);
return *this;
}
2019-03-24 19:13:06 +01:00
DualVector & operator+=(const DualVector & x)
{
a += x.a;
b += x.b;
return *this;
}
DualVector & operator-=(const DualVector & x)
{
a -= x.a;
b -= x.b;
return *this;
}
DualVector & operator*=(const DualVector & x)
{
b = a*x.b + b*x.a;
a *= x.a;
return *this;
}
DualVector & operator/=(const DualVector & x)
{
b = (x.a*b - a*x.b)/(x.a*x.a);
a /= x.a;
return *this;
}
DualVector operator+(const DualVector & x) const
{
DualVector res(*this);
return (res += x);
}
DualVector operator+(void) const // +x
{
return (*this);
}
DualVector operator-(const DualVector & x) const {
DualVector res(*this);
return (res -= x);
}
DualVector operator-(void) const // -x
{
return DualVector(-a, -b);
}
DualVector operator*(const DualVector & x) const
{
DualVector res(*this);
return (res *= x);
}
DualVector operator/(const DualVector & x) const
{
DualVector res(*this);
return (res /= x);
}
Scalar a; /// Real part
VectorT b; /// Infinitesimal parts
};
// Basic mathematical functions for Scalar numbers
// Trigonometric functions
template<typename Scalar> Scalar sec(const Scalar & x) {
return Scalar(1.)/cos(x);
}
template<typename Scalar> Scalar cot(const Scalar & x) {
return cos(x)/sin(x);
}
template<typename Scalar> Scalar csc(const Scalar & x) {
return Scalar(1.)/sin(x);
}
// Inverse trigonometric functions
template<typename Scalar> Scalar asec(const Scalar & x) {
return acos(Scalar(1.)/x);
}
template<typename Scalar> Scalar acot(const Scalar & x) {
return atan(Scalar(1.)/x);
}
template<typename Scalar> Scalar acsc(const Scalar & x) {
return asin(Scalar(1.)/x);
}
// Hyperbolic trigonometric functions
template<typename Scalar> Scalar sech(const Scalar & x) {
return Scalar(1.)/cosh(x);
}
template<typename Scalar> Scalar coth(const Scalar & x) {
return cosh(x)/sinh(x);
}
template<typename Scalar> Scalar csch(const Scalar & x) {
return Scalar(1.)/sinh(x);
}
// Inverse hyperbolic trigonometric functions
template<typename Scalar> Scalar asech(const Scalar & x) {
return log((Scalar(1.) + sqrt(Scalar(1.) - x*x))/x);
}
template<typename Scalar> Scalar acoth(const Scalar & x) {
return Scalar(0.5)*log((x + Scalar(1.))/(x - Scalar(1.)));
}
template<typename Scalar> Scalar acsch(const Scalar & x) {
return (x >= Scalar(0.)) ? log((Scalar(1.) + sqrt(Scalar(1.) + x*x))/x) : log((Scalar(1.) - sqrt(Scalar(1.) + x*x))/x);
}
template<typename Scalar> Scalar exp10(const Scalar & x) {
return exp(x*log(Scalar(10.)));
}
template<typename Scalar> Scalar sign(const Scalar & x) {
return (x >= Scalar(0.)) ? ((x > Scalar(0.)) ? Scalar(1.) : Scalar(0.)) : Scalar(-1.);
}
template<typename Scalar> Scalar heaviside(const Scalar & x) {
return Scalar(x >= Scalar(0.));
}
2019-03-25 21:09:11 +01:00
template<typename Scalar> Scalar abs(const Scalar & x) {
return (x >= Scalar(0.)) ? x : -x;
}
2019-03-24 19:13:06 +01:00
// Basic mathematical functions for DualVector numbers
// f(a + b*d) = f(a) + b*f'(a)*d
// Trigonometric functions
template<typename Scalar, int N> DualVector<Scalar, N> cos(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(cos(x.a), -x.b*sin(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> sin(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sin(x.a), x.b*cos(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> tan(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(tan(x.a), x.b*sec(x.a)*sec(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> sec(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sec(x.a), x.b*sec(x.a)*tan(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> cot(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(cot(x.a), x.b*(-csc(x.a)*csc(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> csc(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(csc(x.a), x.b*(-cot(x.a)*csc(x.a)));
}
// Inverse trigonometric functions
template<typename Scalar, int N> DualVector<Scalar, N> acos(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acos(x.a), x.b*(-Scalar(1.)/sqrt(Scalar(1.)-x.a*x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> asin(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(asin(x.a), x.b*(Scalar(1.)/sqrt(Scalar(1.)-x.a*x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> atan(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(atan(x.a), x.b*(Scalar(1.)/(x.a*x.a + Scalar(1.))));
}
template<typename Scalar, int N> DualVector<Scalar, N> asec(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(asec(x.a), x.b*(Scalar(1.)/(sqrt(Scalar(1.)-Scalar(1.)/(x.a*x.a))*(x.a*x.a))));
}
template<typename Scalar, int N> DualVector<Scalar, N> acot(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acot(x.a), x.b*(-Scalar(1.)/((x.a*x.a)+Scalar(1.))));
}
template<typename Scalar, int N> DualVector<Scalar, N> acsc(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acsc(x.a), x.b*(-Scalar(1.)/(sqrt(Scalar(1.)-Scalar(1.)/(x.a*x.a))*(x.a*x.a))));
}
// Hyperbolic trigonometric functions
template<typename Scalar, int N> DualVector<Scalar, N> cosh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(cosh(x.a), x.b*sinh(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> sinh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sinh(x.a), x.b*cosh(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> tanh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(tanh(x.a), x.b*sech(x.a)*sech(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> sech(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sech(x.a), x.b*(-sech(x.a)*tanh(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> coth(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(coth(x.a), x.b*(-csch(x.a)*csch(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> csch(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(csch(x.a), x.b*(-coth(x.a)*csch(x.a)));
}
// Inverse hyperbolic trigonometric functions
template<typename Scalar, int N> DualVector<Scalar, N> acosh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acosh(x.a), x.b*(Scalar(1.)/sqrt((x.a*x.a)-Scalar(1.))));
}
template<typename Scalar, int N> DualVector<Scalar, N> asinh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(asinh(x.a), x.b*(Scalar(1.)/sqrt((x.a*x.a)+Scalar(1.))));
}
template<typename Scalar, int N> DualVector<Scalar, N> atanh(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(atanh(x.a), x.b*(Scalar(1.)/(Scalar(1.)-(x.a*x.a))));
}
template<typename Scalar, int N> DualVector<Scalar, N> asech(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(asech(x.a), x.b*(Scalar(-1.)/(sqrt(Scalar(1.)/(x.a*x.a)-Scalar(1.))*(x.a*x.a))));
}
template<typename Scalar, int N> DualVector<Scalar, N> acoth(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acoth(x.a), x.b*(-Scalar(1.)/((x.a*x.a)-Scalar(1.))));
}
template<typename Scalar, int N> DualVector<Scalar, N> acsch(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(acsch(x.a), x.b*(-Scalar(1.)/(sqrt(Scalar(1.)/(x.a*x.a)+Scalar(1.))*(x.a*x.a))));
}
// Exponential functions
template<typename Scalar, int N> DualVector<Scalar, N> exp(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(exp(x.a), x.b*exp(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> log(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(log(x.a), x.b/x.a);
}
template<typename Scalar, int N> DualVector<Scalar, N> exp10(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(exp10(x.a), x.b*(log(Scalar(10.))*exp10(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> log10(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(log10(x.a), x.b/(log(Scalar(10.))*x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> exp2(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(exp2(x.a), x.b*(log(Scalar(2.))*exp2(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> log2(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(log2(x.a), x.b/(log(Scalar(2.))*x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> pow(const DualVector<Scalar, N> & x, const DualVector<Scalar, N> & n) {
return exp(n*log(x));
}
// Other functions
template<typename Scalar, int N> DualVector<Scalar, N> sqrt(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sqrt(x.a), x.b/(Scalar(2.)*sqrt(x.a)));
}
template<typename Scalar, int N> DualVector<Scalar, N> sign(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(sign(x.a), DualVector<Scalar, N>::DualVector::__create_VectorT_zeros());
2019-03-24 19:13:06 +01:00
}
template<typename Scalar, int N> DualVector<Scalar, N> abs(const DualVector<Scalar, N> & x) {
2019-03-25 21:09:11 +01:00
return DualVector<Scalar, N>(abs(x.a), x.b*sign(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> fabs(const DualVector<Scalar, N> & x) {
2019-03-24 19:13:06 +01:00
return DualVector<Scalar, N>(fabs(x.a), x.b*sign(x.a));
}
template<typename Scalar, int N> DualVector<Scalar, N> heaviside(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(heaviside(x.a), DualVector<Scalar, N>::DualVector::__create_VectorT_zeros());
2019-03-24 19:13:06 +01:00
}
template<typename Scalar, int N> DualVector<Scalar, N> floor(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(floor(x.a), DualVector<Scalar, N>::DualVector::__create_VectorT_zeros());
2019-03-24 19:13:06 +01:00
}
template<typename Scalar, int N> DualVector<Scalar, N> ceil(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(ceil(x.a), DualVector<Scalar, N>::DualVector::__create_VectorT_zeros());
2019-03-24 19:13:06 +01:00
}
template<typename Scalar, int N> DualVector<Scalar, N> round(const DualVector<Scalar, N> & x) {
return DualVector<Scalar, N>(round(x.a), DualVector<Scalar, N>::DualVector::__create_VectorT_zeros());
2019-03-24 19:13:06 +01:00
}
template<typename Scalar, int N> std::ostream & operator<<(std::ostream & s, const DualVector<Scalar, N> & x)
{
return (s << x.a);
}
#endif