Defines a set of functions useful for for initializing the element value of tensor types. More...

Classes
class	lin::internal::RandomsGenerator
	Random number generator. More...

class	lin::internal::StreamConstants< T, R, C, MR, MC >
	Tensor stream where all element accesses return the same constant value. More...

class	lin::internal::StreamDiagonal< E >
	Tensor stream where all elements are zeros expects the elements on on the diagonal specified by an underlying stream. More...

class	lin::internal::StreamIdentity< T, R, C, MR, MC >
	Tensor stream where all element accesses specify an identity matrix. More...

Functions
template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>
constexpr auto	lin::consts (T t, size_t r=MR, size_t c=MC)
	Creates a constants stream. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::consts (typename C::Traits::elem_t t, size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Creates a constants stream. More...

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>
constexpr auto	lin::nans (size_t r=MR, size_t c=MC)
	Creates a stream of not-a-number values. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::nans (size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Creates a stream of not-a-number values. More...

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>
constexpr auto	lin::ones (size_t r=MR, size_t c=MC)
	Creates a ones stream. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::ones (size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Creates a ones stream. More...

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>
constexpr auto	lin::zeros (size_t r=MR, size_t c=MC)
	Creates a zeros stream. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::zeros (size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Creates a zeros stream. More...

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>
constexpr auto	lin::identity (size_t r=MR, size_t c=MC)
	Creates a stream which evaluates to an identity matrix. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::identity (size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Creates a stream which evaluates to an identity matrix. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::rands (internal::RandomsGenerator &rand, size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Generates a Matrix or Vector populated with uniform random values between 0 and 1. More...

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>
constexpr auto	lin::gaussians (internal::RandomsGenerator &rand, size_t r=C::Traits::max_rows, size_t c=C::Traits::max_cols)
	Generates a Matrix or Vector populated with independent gaussian random variables with a mean of 0 and standard deviation of 1. Uses Box–Muller transform. More...

Detailed Description

Defines a set of functions useful for for initializing the element value of tensor types.

More details to come...

Function Documentation

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>

constexpr auto lin::consts	(	T	t,
		size_t	r = `MR`,
		size_t	c = `MC`
	)

Creates a constants stream.

Template Parameters

T	Stream element type.
R	Rows at compile time.
C	Columns at compile time.
MR	Maximum rows at compile time.
MC	Maximum columns at compile time.

Parameters

[in]	t	Constant value.
[in]	r	Row count.
[in]	c	Column count.

Returns: Constants stream.

See also: nans; ones; zeros; internal::StreamConstants

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::consts	(	typename C::Traits::elem_t	t,
		size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Creates a constants stream.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in]	t	Constant value.
[in]	r	Row count.
[in]	c	Column count.

Returns: Constants stream.

See also: nans; ones; zeros; internal::StreamConstants

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>

constexpr auto lin::nans	(	size_t	r = `MR`,
		size_t	c = `MC`
	)

Creates a stream of not-a-number values.

Template Parameters

T	Stream element type.
R	Rows at compile time.
C	Columns at compile time.
MR	Maximum rows at compile time.
MC	Maximum columns at compile time.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; zeros; internal::StreamConstants

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::nans	(	size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Creates a stream of not-a-number values.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; zeros; internal::StreamConstants

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>

constexpr auto lin::ones	(	size_t	r = `MR`,
		size_t	c = `MC`
	)

Creates a ones stream.

Template Parameters

T	Stream element type.
R	Rows at compile time.
C	Columns at compile time.
MR	Maximum rows at compile time.
MC	Maximum columns at compile time.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; zeros; internal::StreamConstants

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::ones	(	size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Creates a ones stream.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; zeros; internal::StreamConstants

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>

constexpr auto lin::zeros	(	size_t	r = `MR`,
		size_t	c = `MC`
	)

Creates a zeros stream.

Template Parameters

T	Stream element type.
R	Rows at compile time.
C	Columns at compile time.
MR	Maximum rows at compile time.
MC	Maximum columns at compile time.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; ones; internal::StreamConstants

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::zeros	(	size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Creates a zeros stream.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in]	r	Row count.
[in]	c	Column count.

See also: consts; nans; ones; internal::StreamConstants

template<typename T , size_t R, size_t C, size_t MR = R, size_t MC = C>

constexpr auto lin::identity	(	size_t	r = `MR`,
		size_t	c = `MC`
	)

Creates a stream which evaluates to an identity matrix.

Template Parameters

T	Stream element type.
R	Rows at compile time.
C	Columns at compile time.
MR	Maximum rows at compile time.
MC	Maximum columns at compile time.

Parameters

[in]	r	Row count.
[in]	c	Column count.

Returns: Identity stream.

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::identity	(	size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Creates a stream which evaluates to an identity matrix.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in]	r	Row count.
[in]	c	Column count.

Returns: Identity stream.

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::rands	(	internal::RandomsGenerator &	rand,
		size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Generates a Matrix or Vector populated with uniform random values between 0 and 1.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in,out]	rand	Random number generator.
[in]	r	Row count.
[in]	c	Column count.

Returns: Tensor with randomly populated values.

See also: internal::RandomsGenerator

template<class C , std::enable_if_t< internal::has_traits< C >::value, size_t > = 0>

constexpr auto lin::gaussians	(	internal::RandomsGenerator &	rand,
		size_t	r = `C::Traits::max_rows`,
		size_t	c = `C::Traits::max_cols`
	)

Generates a Matrix or Vector populated with independent gaussian random variables with a mean of 0 and standard deviation of 1. Uses Box–Muller transform.

Template Parameters

C	Tensor type whose traits the returned stream will mimic.

Parameters

[in,out]	rand	Random number generator.
[in]	r	Row count.
[in]	c	Column count.

Returns: Tensor with randomly populated values.

See also: internal::RandomsGenerator

Classes

Functions

Detailed Description

Function Documentation