matrix_ops.h File Reference

#include <stdbool.h>
#include <util/api.h>
#include <neatogen/sparsegraph.h>

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Functions
PRIVATE void	scadd (double *, int, double, double *)
PRIVATE double	norm (double *, int)
PRIVATE void	orthog1 (int n, double *vec)
PRIVATE void	init_vec_orth1 (int n, double *vec)
PRIVATE void	right_mult_with_vector (const vtx_data *, int, const double *, double *restrict)
PRIVATE void	vectors_subtraction (int, double *, double *, double *)
PRIVATE void	vectors_addition (int, double *, double *, double *)
PRIVATE void	vectors_scalar_mult (int, const double *, double, double *)
PRIVATE void	copy_vector (int n, const double *restrict source, double *restrict dest)
PRIVATE double	vectors_inner_product (int n, const double *vector1, const double *vector2)
PRIVATE double	max_abs (int n, double *vector)
PRIVATE void	right_mult_with_vector_transpose (double **, int, int, double *, double *)
PRIVATE void	right_mult_with_vector_d (double *const *, int, int, const double *, double *restrict)
PRIVATE void	mult_dense_mat_d (double **, float **, int, int, int, double ***CC)
PRIVATE void	mult_sparse_dense_mat_transpose (vtx_data *, double **, int, int, float ***)
PRIVATE bool	power_iteration (double *const *, int, int, double **)
PRIVATE void	orthog1f (int n, float *vec)
PRIVATE void	right_mult_with_vector_ff (const float *, int, const float *, float *restrict)
PRIVATE void	vectors_subtractionf (int, float *, float *, float *)
PRIVATE void	vectors_additionf (int n, float *vector1, float *vector2, float *result)
PRIVATE void	vectors_mult_additionf (int n, float *vector1, float alpha, float *vector2)
PRIVATE void	copy_vectorf (int n, float *source, float *dest)
PRIVATE double	vectors_inner_productf (int n, float *vector1, float *vector2)
PRIVATE void	set_vector_valf (int n, float val, float *result)
PRIVATE double	max_absf (int n, float *vector)
PRIVATE void	square_vec (int n, float *vec)
PRIVATE void	invert_vec (int n, float *vec)
PRIVATE void	sqrt_vecf (int n, float *source, float *target)
PRIVATE void	invert_sqrt_vec (int n, float *vec)

Function Documentation

copy_vector()

PRIVATE void copy_vector	(	int	n,
		const double *restrict	source,
		double *restrict	dest
	)

Definition at line 264 of file matrix_ops.c.

Referenced by conjugate_gradient(), conjugate_gradient_d(), power_iteration(), rescale_layout_polar(), and rescale_layout_polarFocus().

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copy_vectorf()

PRIVATE void copy_vectorf	(	int	n,
		float *	source,
		float *	dest
	)

Definition at line 382 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel(), and stress_majorization_kD_mkernel().

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init_vec_orth1()

PRIVATE void init_vec_orth1	(	int	n,
		double *	vec
	)

Definition at line 221 of file matrix_ops.c.

References orthog1(), and RANGE.

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invert_sqrt_vec()

PRIVATE void invert_sqrt_vec	(	int	n,
		float *	vec
	)

Definition at line 438 of file matrix_ops.c.

Referenced by stress_majorization_kD_mkernel().

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invert_vec()

PRIVATE void invert_vec	(	int	n,
		float *	vec
	)

Definition at line 420 of file matrix_ops.c.

Referenced by stress_majorization_kD_mkernel().

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max_abs()

PRIVATE double max_abs	(	int	n,
		double *	vector
	)

Definition at line 281 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_d().

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max_absf()

PRIVATE double max_absf	(	int	n,
		float *	vector
	)

Definition at line 404 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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mult_dense_mat_d()

PRIVATE void mult_dense_mat_d	(	double **	A,
		float **	B,
		int	dim1,
		int	dim2,
		int	dim3,
		double ***	CC
	)

Definition at line 131 of file matrix_ops.c.

References A, B, C, CC, and gv_calloc().

Referenced by iterativePCA_1D(), and sparse_stress_subspace_majorization_kD().

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mult_sparse_dense_mat_transpose()

PRIVATE void mult_sparse_dense_mat_transpose	(	vtx_data *	A,
		double **	B,
		int	dim1,
		int	dim2,
		float ***	CC
	)

Definition at line 157 of file matrix_ops.c.

References A, B, C, CC, gv_calloc(), and nedges.

Referenced by iterativePCA_1D(), and sparse_stress_subspace_majorization_kD().

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norm()

PRIVATE double norm	(	double *	vec,
		int	end
	)

Definition at line 197 of file matrix_ops.c.

References vectors_inner_product().

Referenced by power_iteration().

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orthog1()

PRIVATE void orthog1	(	int	n,
		double *	vec
	)

Definition at line 201 of file matrix_ops.c.

Referenced by conjugate_gradient(), conjugate_gradient_d(), init_vec_orth1(), initLayout(), and stress_majorization_kD_mkernel().

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orthog1f()

PRIVATE void orthog1f	(	int	n,
		float *	vec
	)

Definition at line 322 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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power_iteration()

PRIVATE bool power_iteration	(	double *const *	square_mat,
		int	n,
		int	neigs,
		double **	eigs
	)

Definition at line 22 of file matrix_ops.c.

References alpha, copy_vector(), free(), gv_calloc(), len(), norm(), p_iteration_threshold, right_mult_with_vector_d(), scadd(), tol, vectors_inner_product(), and vectors_scalar_mult().

Referenced by iterativePCA_1D(), and PCA_alloc().

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right_mult_with_vector()

PRIVATE void right_mult_with_vector	(	const vtx_data *	,
		int	,
		const double *	,
		double *	restrict
	)

right_mult_with_vector_d()

PRIVATE void right_mult_with_vector_d	(	double *const *	,
		int	,
		int	,
		const double *	,
		double *	restrict
	)

right_mult_with_vector_ff()

PRIVATE void right_mult_with_vector_ff	(	const float *	,
		int	,
		const float *	,
		float *	restrict
	)

right_mult_with_vector_transpose()

PRIVATE void right_mult_with_vector_transpose	(	double **	matrix,
		int	dim1,
		int	dim2,
		double *	vector,
		double *	result
	)

Definition at line 290 of file matrix_ops.c.

Referenced by sparse_stress_subspace_majorization_kD().

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scadd()

PRIVATE void scadd	(	double *	vec1,
		int	end,
		double	fac,
		double *	vec2
	)

Definition at line 188 of file matrix_ops.c.

Referenced by power_iteration(), and rescale_layout_polar().

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set_vector_valf()

PRIVATE void set_vector_valf	(	int	n,
		float	val,
		float *	result
	)

Definition at line 398 of file matrix_ops.c.

Referenced by stress_majorization_kD_mkernel().

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sqrt_vecf()

PRIVATE void sqrt_vecf	(	int	n,
		float *	source,
		float *	target
	)

Definition at line 429 of file matrix_ops.c.

Referenced by stress_majorization_kD_mkernel().

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square_vec()

PRIVATE void square_vec	(	int	n,
		float *	vec
	)

Definition at line 413 of file matrix_ops.c.

Referenced by stress_majorization_kD_mkernel().

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vectors_addition()

PRIVATE void vectors_addition	(	int	n,
		double *	vector1,
		double *	vector2,
		double *	result
	)

Definition at line 249 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_d().

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vectors_additionf()

PRIVATE void vectors_additionf	(	int	n,
		float *	vector1,
		float *	vector2,
		float *	result
	)

Definition at line 367 of file matrix_ops.c.

vectors_inner_product()

PRIVATE double vectors_inner_product	(	int	n,
		const double *	vector1,
		const double *	vector2
	)

Definition at line 270 of file matrix_ops.c.

Referenced by conjugate_gradient(), conjugate_gradient_d(), norm(), and power_iteration().

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vectors_inner_productf()

PRIVATE double vectors_inner_productf	(	int	n,
		float *	vector1,
		float *	vector2
	)

Definition at line 388 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel(), and stress_majorization_kD_mkernel().

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vectors_mult_additionf()

PRIVATE void vectors_mult_additionf	(	int	n,
		float *	vector1,
		float	alpha,
		float *	vector2
	)

Definition at line 374 of file matrix_ops.c.

References alpha.

Referenced by conjugate_gradient_mkernel().

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vectors_scalar_mult()

PRIVATE void vectors_scalar_mult	(	int	n,
		const double *	vector,
		double	alpha,
		double *	result
	)

Definition at line 256 of file matrix_ops.c.

References alpha.

Referenced by conjugate_gradient(), conjugate_gradient_d(), and power_iteration().

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vectors_subtraction()

PRIVATE void vectors_subtraction	(	int	n,
		double *	vector1,
		double *	vector2,
		double *	result
	)

Definition at line 241 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_d().

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vectors_subtractionf()

PRIVATE void vectors_subtractionf	(	int	n,
		float *	vector1,
		float *	vector2,
		float *	result
	)

Definition at line 359 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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