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multiply.hpp
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1 #ifndef STAN_MATH_FWD_MAT_FUN_MULTIPLY_HPP
2 #define STAN_MATH_FWD_MAT_FUN_MULTIPLY_HPP
3
4 #include <stan/math/prim/mat/fun/Eigen.hpp>
5 #include <stan/math/prim/mat/fun/typedefs.hpp>
6 #include <stan/math/prim/mat/err/check_multiplicable.hpp>
7 #include <stan/math/fwd/core.hpp>
8 #include <stan/math/fwd/mat/fun/typedefs.hpp>
9 #include <stan/math/fwd/mat/fun/to_fvar.hpp>
10 #include <stan/math/fwd/mat/fun/dot_product.hpp>
11 #include <boost/math/tools/promotion.hpp>
12 #include <stdexcept>
13 #include <vector>
14
15 namespace stan {
16 namespace math {
17
18 template<typename T, int R1, int C1>
19 inline
20 Eigen::Matrix<fvar<T>, R1, C1>
21 multiply(const Eigen::Matrix<fvar<T>, R1, C1>& m, const fvar<T>& c) {
22 Eigen::Matrix<fvar<T>, R1, C1> res(m.rows(), m.cols());
23 for (int i = 0; i < m.rows(); i++) {
24 for (int j = 0; j < m.cols(); j++)
25 res(i, j) = c * m(i, j);
26 }
27 return res;
28 }
29
30 template<typename T, int R2, int C2>
31 inline
32 Eigen::Matrix<fvar<T>, R2, C2>
33 multiply(const Eigen::Matrix<fvar<T>, R2, C2>& m, const double c) {
34 Eigen::Matrix<fvar<T>, R2, C2> res(m.rows(), m.cols());
35 for (int i = 0; i < m.rows(); i++) {
36 for (int j = 0; j < m.cols(); j++)
37 res(i, j) = c * m(i, j);
38 }
39 return res;
40 }
41
42 template<typename T, int R1, int C1>
43 inline
44 Eigen::Matrix<fvar<T>, R1, C1>
45 multiply(const Eigen::Matrix<double, R1, C1>& m, const fvar<T>& c) {
46 Eigen::Matrix<fvar<T>, R1, C1> res(m.rows(), m.cols());
47 for (int i = 0; i < m.rows(); i++) {
48 for (int j = 0; j < m.cols(); j++)
49 res(i, j) = c * m(i, j);
50 }
51 return res;
52 }
53
54 template<typename T, int R1, int C1>
55 inline
56 Eigen::Matrix<fvar<T>, R1, C1>
57 multiply(const fvar<T>& c, const Eigen::Matrix<fvar<T>, R1, C1>& m) {
58 return multiply(m, c);
59 }
60
61 template<typename T, int R1, int C1>
62 inline
63 Eigen::Matrix<fvar<T>, R1, C1>
64 multiply(const double c, const Eigen::Matrix<fvar<T>, R1, C1>& m) {
65 return multiply(m, c);
66 }
67
68 template<typename T, int R1, int C1>
69 inline
70 Eigen::Matrix<fvar<T>, R1, C1>
71 multiply(const fvar<T>& c, const Eigen::Matrix<double, R1, C1>& m) {
72 return multiply(m, c);
73 }
74
75 template<typename T, int R1, int C1, int R2, int C2>
76 inline
77 Eigen::Matrix<fvar<T>, R1, C2>
78 multiply(const Eigen::Matrix<fvar<T>, R1, C1>& m1,
79 const Eigen::Matrix<fvar<T>, R2, C2>& m2) {
80 stan::math::check_multiplicable("multiply",
81 "m1", m1,
82 "m2", m2);
83 Eigen::Matrix<fvar<T>, R1, C2> result(m1.rows(), m2.cols());
84 for (size_type i = 0; i < m1.rows(); i++) {
85 Eigen::Matrix<fvar<T>, 1, C1> crow = m1.row(i);
86 for (size_type j = 0; j < m2.cols(); j++) {
87 Eigen::Matrix<fvar<T>, R2, 1> ccol = m2.col(j);
88 result(i, j) = stan::math::dot_product(crow, ccol);
89 }
90 }
91 return result;
92 }
93
94 template<typename T, int R1, int C1, int R2, int C2>
95 inline
96 Eigen::Matrix<fvar<T>, R1, C2>
97 multiply(const Eigen::Matrix<fvar<T>, R1, C1>& m1,
98 const Eigen::Matrix<double, R2, C2>& m2) {
99 stan::math::check_multiplicable("multiply",
100 "m1", m1,
101 "m2", m2);
102 Eigen::Matrix<fvar<T>, R1, C2> result(m1.rows(), m2.cols());
103 for (size_type i = 0; i < m1.rows(); i++) {
104 Eigen::Matrix<fvar<T>, 1, C1> crow = m1.row(i);
105 for (size_type j = 0; j < m2.cols(); j++) {
106 Eigen::Matrix<double, R2, 1> ccol = m2.col(j);
107 result(i, j) = stan::math::dot_product(crow, ccol);
108 }
109 }
110 return result;
111 }
112
113 template<typename T, int R1, int C1, int R2, int C2>
114 inline
115 Eigen::Matrix<fvar<T>, R1, C2>
116 multiply(const Eigen::Matrix<double, R1, C1>& m1,
117 const Eigen::Matrix<fvar<T>, R2, C2>& m2) {
118 stan::math::check_multiplicable("multiply",
119 "m1", m1,
120 "m2", m2);
121 Eigen::Matrix<fvar<T>, R1, C2> result(m1.rows(), m2.cols());
122 for (size_type i = 0; i < m1.rows(); i++) {
123 Eigen::Matrix<double, 1, C1> crow = m1.row(i);
124 for (size_type j = 0; j < m2.cols(); j++) {
125 Eigen::Matrix<fvar<T>, R2, 1> ccol = m2.col(j);
126 result(i, j) = stan::math::dot_product(crow, ccol);
127 }
128 }
129 return result;
130 }
131
132 template <typename T, int C1, int R2>
133 inline
134 fvar<T>
135 multiply(const Eigen::Matrix<fvar<T>, 1, C1>& rv,
136 const Eigen::Matrix<fvar<T>, R2, 1>& v) {
137 if (rv.size() != v.size())
138 throw std::domain_error("row vector and vector must be same length "
139 "in multiply");
140 return dot_product(rv, v);
141 }
142
143 template <typename T, int C1, int R2>
144 inline
145 fvar<T>
146 multiply(const Eigen::Matrix<fvar<T>, 1, C1>& rv,
147 const Eigen::Matrix<double, R2, 1>& v) {
148 if (rv.size() != v.size())
149 throw std::domain_error("row vector and vector must be same length "
150 "in multiply");
151 return dot_product(rv, v);
152 }
153
154 template <typename T, int C1, int R2>
155 inline
156 fvar<T>
157 multiply(const Eigen::Matrix<double, 1, C1>& rv,
158 const Eigen::Matrix<fvar<T>, R2, 1>& v) {
159 if (rv.size() != v.size())
160 throw std::domain_error("row vector and vector must be same length "
161 "in multiply");
162 return dot_product(rv, v);
163 }
164 }
165 }
166 #endif
typedefs.hpp
core.hpp
check_multiplicable.hpp
stan
Definition: log_sum_exp.hpp:8
stan::math::multiply
Eigen::Matrix< fvar< T >, R1, C1 > multiply(const Eigen::Matrix< fvar< T >, R1, C1 > &m, const fvar< T > &c)
Definition: multiply.hpp:21
stan::math::size_type
Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic >::Index size_type
Type for sizes and indexes in an Eigen matrix with double e.
Definition: typedefs.hpp:13
stan::math::check_multiplicable
bool check_multiplicable(const char *function, const char *name1, const T1 &y1, const char *name2, const T2 &y2)
Return true if the matrices can be multiplied.
Definition: check_multiplicable.hpp:33
dot_product.hpp
stan::math::dot_product
fvar< T > dot_product(const Eigen::Matrix< fvar< T >, R1, C1 > &v1, const Eigen::Matrix< fvar< T >, R2, C2 > &v2)
Definition: dot_product.hpp:20
stan::math::domain_error
void domain_error(const char *function, const char *name, const T &y, const char *msg1, const char *msg2)
Throw a domain error with a consistently formatted message.
Definition: domain_error.hpp:32
Eigen.hpp
to_fvar.hpp
stan::math::fvar
Definition: fvar.hpp:13
typedefs.hpp

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