Yoji KURODA / Eigen

Eigne Matrix Class Library

Dependents:   Eigen_test Odometry_test AttitudeEstimation_usingTicker MPU9250_Quaternion_Binary_Serial ... more

Eigen Matrix Class Library for mbed.

Finally, you can use Eigen on your mbed!!!

src/Core/Random.h@0:13a5d365ba16, 2016-10-13 (annotated)

Committer:
ykuroda
Date:
Thu Oct 13 04:07:23 2016 +0000
Revision:
0:13a5d365ba16
First commint, Eigne Matrix Class Library

Who changed what in which revision?

UserRevisionLine numberNew contents of line
ykuroda 0:13a5d365ba16 1 // This file is part of Eigen, a lightweight C++ template library
ykuroda 0:13a5d365ba16 2 // for linear algebra.
ykuroda 0:13a5d365ba16 3 //
ykuroda 0:13a5d365ba16 4 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
ykuroda 0:13a5d365ba16 5 //
ykuroda 0:13a5d365ba16 6 // This Source Code Form is subject to the terms of the Mozilla
ykuroda 0:13a5d365ba16 7 // Public License v. 2.0. If a copy of the MPL was not distributed
ykuroda 0:13a5d365ba16 8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
ykuroda 0:13a5d365ba16 9
ykuroda 0:13a5d365ba16 10 #ifndef EIGEN_RANDOM_H
ykuroda 0:13a5d365ba16 11 #define EIGEN_RANDOM_H
ykuroda 0:13a5d365ba16 12
ykuroda 0:13a5d365ba16 13 namespace Eigen {
ykuroda 0:13a5d365ba16 14
ykuroda 0:13a5d365ba16 15 namespace internal {
ykuroda 0:13a5d365ba16 16
ykuroda 0:13a5d365ba16 17 template<typename Scalar> struct scalar_random_op {
ykuroda 0:13a5d365ba16 18 EIGEN_EMPTY_STRUCT_CTOR(scalar_random_op)
ykuroda 0:13a5d365ba16 19 template<typename Index>
ykuroda 0:13a5d365ba16 20 inline const Scalar operator() (Index, Index = 0) const { return random<Scalar>(); }
ykuroda 0:13a5d365ba16 21 };
ykuroda 0:13a5d365ba16 22
ykuroda 0:13a5d365ba16 23 template<typename Scalar>
ykuroda 0:13a5d365ba16 24 struct functor_traits<scalar_random_op<Scalar> >
ykuroda 0:13a5d365ba16 25 { enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false, IsRepeatable = false }; };
ykuroda 0:13a5d365ba16 26
ykuroda 0:13a5d365ba16 27 } // end namespace internal
ykuroda 0:13a5d365ba16 28
ykuroda 0:13a5d365ba16 29 /** \returns a random matrix expression
ykuroda 0:13a5d365ba16 30 *
ykuroda 0:13a5d365ba16 31 * The parameters \a rows and \a cols are the number of rows and of columns of
ykuroda 0:13a5d365ba16 32 * the returned matrix. Must be compatible with this MatrixBase type.
ykuroda 0:13a5d365ba16 33 *
ykuroda 0:13a5d365ba16 34 * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
ykuroda 0:13a5d365ba16 35 * it is redundant to pass \a rows and \a cols as arguments, so Random() should be used
ykuroda 0:13a5d365ba16 36 * instead.
ykuroda 0:13a5d365ba16 37 *
ykuroda 0:13a5d365ba16 38 * Example: \include MatrixBase_random_int_int.cpp
ykuroda 0:13a5d365ba16 39 * Output: \verbinclude MatrixBase_random_int_int.out
ykuroda 0:13a5d365ba16 40 *
ykuroda 0:13a5d365ba16 41 * This expression has the "evaluate before nesting" flag so that it will be evaluated into
ykuroda 0:13a5d365ba16 42 * a temporary matrix whenever it is nested in a larger expression. This prevents unexpected
ykuroda 0:13a5d365ba16 43 * behavior with expressions involving random matrices.
ykuroda 0:13a5d365ba16 44 *
ykuroda 0:13a5d365ba16 45 * \sa MatrixBase::setRandom(), MatrixBase::Random(Index), MatrixBase::Random()
ykuroda 0:13a5d365ba16 46 */
ykuroda 0:13a5d365ba16 47 template<typename Derived>
ykuroda 0:13a5d365ba16 48 inline const CwiseNullaryOp<internal::scalar_random_op<typename internal::traits<Derived>::Scalar>, Derived>
ykuroda 0:13a5d365ba16 49 DenseBase<Derived>::Random(Index rows, Index cols)
ykuroda 0:13a5d365ba16 50 {
ykuroda 0:13a5d365ba16 51 return NullaryExpr(rows, cols, internal::scalar_random_op<Scalar>());
ykuroda 0:13a5d365ba16 52 }
ykuroda 0:13a5d365ba16 53
ykuroda 0:13a5d365ba16 54 /** \returns a random vector expression
ykuroda 0:13a5d365ba16 55 *
ykuroda 0:13a5d365ba16 56 * The parameter \a size is the size of the returned vector.
ykuroda 0:13a5d365ba16 57 * Must be compatible with this MatrixBase type.
ykuroda 0:13a5d365ba16 58 *
ykuroda 0:13a5d365ba16 59 * \only_for_vectors
ykuroda 0:13a5d365ba16 60 *
ykuroda 0:13a5d365ba16 61 * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
ykuroda 0:13a5d365ba16 62 * it is redundant to pass \a size as argument, so Random() should be used
ykuroda 0:13a5d365ba16 63 * instead.
ykuroda 0:13a5d365ba16 64 *
ykuroda 0:13a5d365ba16 65 * Example: \include MatrixBase_random_int.cpp
ykuroda 0:13a5d365ba16 66 * Output: \verbinclude MatrixBase_random_int.out
ykuroda 0:13a5d365ba16 67 *
ykuroda 0:13a5d365ba16 68 * This expression has the "evaluate before nesting" flag so that it will be evaluated into
ykuroda 0:13a5d365ba16 69 * a temporary vector whenever it is nested in a larger expression. This prevents unexpected
ykuroda 0:13a5d365ba16 70 * behavior with expressions involving random matrices.
ykuroda 0:13a5d365ba16 71 *
ykuroda 0:13a5d365ba16 72 * \sa MatrixBase::setRandom(), MatrixBase::Random(Index,Index), MatrixBase::Random()
ykuroda 0:13a5d365ba16 73 */
ykuroda 0:13a5d365ba16 74 template<typename Derived>
ykuroda 0:13a5d365ba16 75 inline const CwiseNullaryOp<internal::scalar_random_op<typename internal::traits<Derived>::Scalar>, Derived>
ykuroda 0:13a5d365ba16 76 DenseBase<Derived>::Random(Index size)
ykuroda 0:13a5d365ba16 77 {
ykuroda 0:13a5d365ba16 78 return NullaryExpr(size, internal::scalar_random_op<Scalar>());
ykuroda 0:13a5d365ba16 79 }
ykuroda 0:13a5d365ba16 80
ykuroda 0:13a5d365ba16 81 /** \returns a fixed-size random matrix or vector expression
ykuroda 0:13a5d365ba16 82 *
ykuroda 0:13a5d365ba16 83 * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
ykuroda 0:13a5d365ba16 84 * need to use the variants taking size arguments.
ykuroda 0:13a5d365ba16 85 *
ykuroda 0:13a5d365ba16 86 * Example: \include MatrixBase_random.cpp
ykuroda 0:13a5d365ba16 87 * Output: \verbinclude MatrixBase_random.out
ykuroda 0:13a5d365ba16 88 *
ykuroda 0:13a5d365ba16 89 * This expression has the "evaluate before nesting" flag so that it will be evaluated into
ykuroda 0:13a5d365ba16 90 * a temporary matrix whenever it is nested in a larger expression. This prevents unexpected
ykuroda 0:13a5d365ba16 91 * behavior with expressions involving random matrices.
ykuroda 0:13a5d365ba16 92 *
ykuroda 0:13a5d365ba16 93 * \sa MatrixBase::setRandom(), MatrixBase::Random(Index,Index), MatrixBase::Random(Index)
ykuroda 0:13a5d365ba16 94 */
ykuroda 0:13a5d365ba16 95 template<typename Derived>
ykuroda 0:13a5d365ba16 96 inline const CwiseNullaryOp<internal::scalar_random_op<typename internal::traits<Derived>::Scalar>, Derived>
ykuroda 0:13a5d365ba16 97 DenseBase<Derived>::Random()
ykuroda 0:13a5d365ba16 98 {
ykuroda 0:13a5d365ba16 99 return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_random_op<Scalar>());
ykuroda 0:13a5d365ba16 100 }
ykuroda 0:13a5d365ba16 101
ykuroda 0:13a5d365ba16 102 /** Sets all coefficients in this expression to random values.
ykuroda 0:13a5d365ba16 103 *
ykuroda 0:13a5d365ba16 104 * Example: \include MatrixBase_setRandom.cpp
ykuroda 0:13a5d365ba16 105 * Output: \verbinclude MatrixBase_setRandom.out
ykuroda 0:13a5d365ba16 106 *
ykuroda 0:13a5d365ba16 107 * \sa class CwiseNullaryOp, setRandom(Index), setRandom(Index,Index)
ykuroda 0:13a5d365ba16 108 */
ykuroda 0:13a5d365ba16 109 template<typename Derived>
ykuroda 0:13a5d365ba16 110 inline Derived& DenseBase<Derived>::setRandom()
ykuroda 0:13a5d365ba16 111 {
ykuroda 0:13a5d365ba16 112 return *this = Random(rows(), cols());
ykuroda 0:13a5d365ba16 113 }
ykuroda 0:13a5d365ba16 114
ykuroda 0:13a5d365ba16 115 /** Resizes to the given \a newSize, and sets all coefficients in this expression to random values.
ykuroda 0:13a5d365ba16 116 *
ykuroda 0:13a5d365ba16 117 * \only_for_vectors
ykuroda 0:13a5d365ba16 118 *
ykuroda 0:13a5d365ba16 119 * Example: \include Matrix_setRandom_int.cpp
ykuroda 0:13a5d365ba16 120 * Output: \verbinclude Matrix_setRandom_int.out
ykuroda 0:13a5d365ba16 121 *
ykuroda 0:13a5d365ba16 122 * \sa MatrixBase::setRandom(), setRandom(Index,Index), class CwiseNullaryOp, MatrixBase::Random()
ykuroda 0:13a5d365ba16 123 */
ykuroda 0:13a5d365ba16 124 template<typename Derived>
ykuroda 0:13a5d365ba16 125 EIGEN_STRONG_INLINE Derived&
ykuroda 0:13a5d365ba16 126 PlainObjectBase<Derived>::setRandom(Index newSize)
ykuroda 0:13a5d365ba16 127 {
ykuroda 0:13a5d365ba16 128 resize(newSize);
ykuroda 0:13a5d365ba16 129 return setRandom();
ykuroda 0:13a5d365ba16 130 }
ykuroda 0:13a5d365ba16 131
ykuroda 0:13a5d365ba16 132 /** Resizes to the given size, and sets all coefficients in this expression to random values.
ykuroda 0:13a5d365ba16 133 *
ykuroda 0:13a5d365ba16 134 * \param nbRows the new number of rows
ykuroda 0:13a5d365ba16 135 * \param nbCols the new number of columns
ykuroda 0:13a5d365ba16 136 *
ykuroda 0:13a5d365ba16 137 * Example: \include Matrix_setRandom_int_int.cpp
ykuroda 0:13a5d365ba16 138 * Output: \verbinclude Matrix_setRandom_int_int.out
ykuroda 0:13a5d365ba16 139 *
ykuroda 0:13a5d365ba16 140 * \sa MatrixBase::setRandom(), setRandom(Index), class CwiseNullaryOp, MatrixBase::Random()
ykuroda 0:13a5d365ba16 141 */
ykuroda 0:13a5d365ba16 142 template<typename Derived>
ykuroda 0:13a5d365ba16 143 EIGEN_STRONG_INLINE Derived&
ykuroda 0:13a5d365ba16 144 PlainObjectBase<Derived>::setRandom(Index nbRows, Index nbCols)
ykuroda 0:13a5d365ba16 145 {
ykuroda 0:13a5d365ba16 146 resize(nbRows, nbCols);
ykuroda 0:13a5d365ba16 147 return setRandom();
ykuroda 0:13a5d365ba16 148 }
ykuroda 0:13a5d365ba16 149
ykuroda 0:13a5d365ba16 150 } // end namespace Eigen
ykuroda 0:13a5d365ba16 151
ykuroda 0:13a5d365ba16 152 #endif // EIGEN_RANDOM_H