Graphviz: lib/neatogen/matrix_ops.h File Reference

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#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 (vtx_data , int, double , double *)

PRIVATE void	right_mult_with_vector_f (float *, int, double , double *)

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 *, int, int, double , double *)

PRIVATE void	mult_dense_mat (double , float , int, int, int, float ***C)

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 , int, int, double , double *)

PRIVATE void	orthog1f (int n, float *vec)

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

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_val (int n, double val, double *result)

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 320 of file matrix_ops.c.

Referenced by conjugate_gradient(), conjugate_gradient_f(), 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 457 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 252 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 527 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 507 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 337 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_f().

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◆ max_absf()

PRIVATE double max_absf	(	int	n,
		float *	vector
	)

Definition at line 489 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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◆ mult_dense_mat()

PRIVATE void mult_dense_mat	(	double **	A,
		float **	B,
		int	dim1,
		int	dim2,
		int	dim3,
		float ***	C
	)

Definition at line 133 of file matrix_ops.c.

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

Referenced by sparse_stress_subspace_majorization_kD().

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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 158 of file matrix_ops.c.

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

Referenced by iterativePCA_1D().

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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 186 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 227 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 231 of file matrix_ops.c.

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

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◆ orthog1f()

PRIVATE void orthog1f	(	int	n,
		float *	vec
	)

Definition at line 388 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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◆ power_iteration()

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

Definition at line 20 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	(	vtx_data *	matrix,
		int	n,
		double *	vector,
		double *	result
	)

Definition at line 264 of file matrix_ops.c.

References vtx_data::nedges.

Referenced by conjugate_gradient().

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◆ right_mult_with_vector_d()

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

Definition at line 366 of file matrix_ops.c.

Referenced by power_iteration(), and sparse_stress_subspace_majorization_kD().

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◆ right_mult_with_vector_f()

PRIVATE void right_mult_with_vector_f	(	float **	matrix,
		int	n,
		double *	vector,
		double *	result
	)

Definition at line 279 of file matrix_ops.c.

Referenced by conjugate_gradient_f().

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◆ right_mult_with_vector_ff()

PRIVATE void right_mult_with_vector_ff	(	float *	packed_matrix,
		int	n,
		float *	vector,
		float *	result
	)

Definition at line 406 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel(), and stress_majorization_kD_mkernel().

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◆ 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 348 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 218 of file matrix_ops.c.

Referenced by power_iteration(), and rescale_layout_polar().

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◆ set_vector_val()

PRIVATE void set_vector_val	(	int	n,
		double	val,
		double *	result
	)

Definition at line 475 of file matrix_ops.c.

◆ set_vector_valf()

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

Definition at line 482 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 517 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 499 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 304 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_f().

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◆ vectors_additionf()

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

Definition at line 440 of file matrix_ops.c.

◆ vectors_inner_product()

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

Definition at line 326 of file matrix_ops.c.

Referenced by conjugate_gradient(), conjugate_gradient_f(), 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 464 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 449 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 312 of file matrix_ops.c.

References alpha.

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

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◆ vectors_subtraction()

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

Definition at line 294 of file matrix_ops.c.

Referenced by conjugate_gradient(), and conjugate_gradient_f().

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◆ vectors_subtractionf()

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

Definition at line 431 of file matrix_ops.c.

Referenced by conjugate_gradient_mkernel().

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Functions

Function Documentation

◆ copy_vector()

◆ copy_vectorf()

◆ init_vec_orth1()

◆ invert_sqrt_vec()

◆ invert_vec()

◆ max_abs()

◆ max_absf()

◆ mult_dense_mat()

◆ mult_dense_mat_d()

◆ mult_sparse_dense_mat_transpose()

◆ norm()

◆ orthog1()

◆ orthog1f()

◆ power_iteration()

◆ right_mult_with_vector()

◆ right_mult_with_vector_d()

◆ right_mult_with_vector_f()

◆ right_mult_with_vector_ff()

◆ right_mult_with_vector_transpose()

◆ scadd()

◆ set_vector_val()

◆ set_vector_valf()

◆ sqrt_vecf()

◆ square_vec()

◆ vectors_addition()

◆ vectors_additionf()

◆ vectors_inner_product()

◆ vectors_inner_productf()

◆ vectors_mult_additionf()

◆ vectors_scalar_mult()

◆ vectors_subtraction()

◆ vectors_subtractionf()