#include <map>
#include <tuple>
#include <numeric>
#include <concepts>
#include "teqp/types.hpp"
#include "teqp/exceptions.hpp"
#include <autodiff/forward/dual.hpp>
#include <autodiff/forward/dual/eigen.hpp>
#include <autodiff/forward/real.hpp>
#include <autodiff/forward/real/eigen.hpp>
Go to the source code of this file.
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| #define | get_ATrhoXi_runtime_combinations |
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| #define | X(a, b, c) |
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| #define | get_ATrhoXiXj_runtime_combinations |
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| #define | X(a, b, c, d) |
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| #define | get_ATrhoXiXjXk_runtime_combinations |
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| #define | X(a, b, c, d, e) |
| |
| #define | X(a, b, c) |
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| #define | X(a, b, c, d) |
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| #define | X(a, b, c, d, e) |
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| template<typename TType, typename ContainerType, typename FuncType> |
| ContainerType::value_type | teqp::derivT (const FuncType &f, TType T, const ContainerType &rho) |
| | Given a function, use complex step derivatives to calculate the derivative with respect to the first variable which here is temperature.
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| template<typename TType, typename ContainerType, typename FuncType, typename Integer> |
| ContainerType::value_type | teqp::derivrhoi (const FuncType &f, TType T, const ContainerType &rho, Integer i) |
| | Given a function, use complex step derivatives to calculate the derivative with respect to the given composition variable.
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| template<typename T, size_t ... I> |
| auto | teqp::build_duplicated_tuple_impl (const T &val, std::index_sequence< I... >) |
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| template<int N, typename T> |
| auto | teqp::build_duplicated_tuple (const T &val) |
| | A function to generate a tuple of N repeated copies of argument val at compile-time.
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◆ get_ATrhoXi_runtime_combinations
| #define get_ATrhoXi_runtime_combinations |
Value:
X(0,0,2) \
X(0,0,3) \
X(1,0,0) \
X(1,0,1) \
X(1,0,2) \
X(1,0,3) \
X(0,1,0) \
X(0,1,1) \
X(0,1,2) \
X(0,1,3) \
X(2,0,0) \
X(2,0,1) \
X(2,0,2) \
X(2,0,3) \
X(1,1,0) \
X(1,1,1) \
X(1,1,2) \
X(1,1,3) \
X(0,2,0) \
X(0,2,1) \
X(0,2,2) \
X(0,2,3)
Definition at line 261 of file derivs.hpp.
◆ get_ATrhoXiXj_runtime_combinations
| #define get_ATrhoXiXj_runtime_combinations |
Value:
X(0,0,2,0) \
X(0,0,0,1) \
X(0,0,0,2) \
X(0,0,1,1) \
X(1,0,1,0) \
X(1,0,2,0) \
X(1,0,0,1) \
X(1,0,0,2) \
X(1,0,1,1) \
X(0,1,1,0) \
X(0,1,2,0) \
X(0,1,0,1) \
X(0,1,0,2) \
X(0,1,1,1)
Definition at line 294 of file derivs.hpp.
◆ get_ATrhoXiXjXk_runtime_combinations
| #define get_ATrhoXiXjXk_runtime_combinations |
Value:
X(0,0,1,0,1) \
X(0,0,1,1,0) \
X(0,0,1,1,1) \
X(1,0,0,1,1) \
X(1,0,1,0,1) \
X(1,0,1,1,0) \
X(1,0,1,1,1) \
X(0,1,0,1,1) \
X(0,1,1,0,1) \
X(0,1,1,1,0) \
X(0,1,1,1,1)
Definition at line 319 of file derivs.hpp.
◆ X [1/6]
Value:if (iT == a && iD == b && iXi == c) { return get_ATrhoXi<a,b,c>(w, T, rho, molefrac, i); }
◆ X [2/6]
Value:if (iT == a && iD == b && iXi == c) { return get_AtaudeltaXi<a,b,c>(w, tau, delta, molefrac, i); }
◆ X [3/6]
Value:if (iT == a && iD == b && iXi == c && iXj == d) { return get_ATrhoXiXj<a,b,c,d>(w, T, rho, molefrac, i, j); }
◆ X [4/6]
Value:if (iT == a && iD == b && iXi == c && iXj == d) { return get_AtaudeltaXiXj<a,b,c,d>(w, tau, delta, molefrac, i, j); }
◆ X [5/6]
| #define X |
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Value:if (iT == a && iD == b && iXi == c && iXj == d && iXk == e) { return get_ATrhoXiXjXk<a,b,c,d,e>(w, T, rho, molefrac, i, j, k); }
◆ X [6/6]
| #define X |
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Value:if (iT == a && iD == b && iXi == c && iXj == d && iXk == e) { return get_AtaudeltaXiXjXk<a,b,c,d,e>(w, tau, delta, molefrac, i, j, k); }