Abdelrahman Said
96 lines
3.9 KiB
C
96 lines
3.9 KiB
C
/*
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igraph library.
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Copyright (C) 2009-2025 The igraph development team <igraph@igraph.org>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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#ifndef IGRAPH_NONGRAPH_H
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#define IGRAPH_NONGRAPH_H
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#include "igraph_decls.h"
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#include "igraph_error.h"
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#include "igraph_types.h"
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#include "igraph_vector.h"
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IGRAPH_BEGIN_C_DECLS
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/**
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* \def IGRAPH_SHORTEST_PATH_EPSILON
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*
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* Relative error threshold used in weighted shortest path calculations
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* to decide whether two shortest paths are of equal length.
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*/
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#define IGRAPH_SHORTEST_PATH_EPSILON 1e-10
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/* -------------------------------------------------- */
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/* Other, not graph related */
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/* -------------------------------------------------- */
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/**
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* \struct igraph_plfit_result_t
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* \brief Result of fitting a power-law distribution to a vector.
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*
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* This data structure contains the result of \ref igraph_power_law_fit(),
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* which tries to fit a power-law distribution to a vector of numbers. The
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* structure contains the following members:
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*
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* \member continuous Whether the fitted power-law distribution was continuous
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* or discrete.
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* \member alpha The exponent of the fitted power-law distribution.
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* \member xmin The minimum value from which the power-law distribution was
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* fitted. In other words, only the values larger than \c xmin
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* were used from the input vector.
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* \member L The log-likelihood of the fitted parameters; in other words,
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* the probability of observing the input vector given the
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* parameters.
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* \member D The test statistic of a Kolmogorov-Smirnov test that compares
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* the fitted distribution with the input vector. Smaller scores
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* denote better fit.
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* \member p The p-value of the Kolmogorov-Smirnov test; \c NaN if it has
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* not been calculated yet. Small p-values (less than 0.05)
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* indicate that the test rejected the hypothesis that the
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* original data could have been drawn from the fitted power-law
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* distribution.
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* \member data The vector containing the original input data. May not be valid
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* any more if the caller already destroyed the vector.
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*/
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typedef struct igraph_plfit_result_t {
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igraph_bool_t continuous;
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igraph_real_t alpha;
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igraph_real_t xmin;
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igraph_real_t L;
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igraph_real_t D;
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const igraph_vector_t* data;
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} igraph_plfit_result_t;
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IGRAPH_EXPORT igraph_error_t igraph_running_mean(const igraph_vector_t *data, igraph_vector_t *res,
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igraph_int_t binwidth);
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IGRAPH_EXPORT igraph_error_t igraph_random_sample(igraph_vector_int_t *res, igraph_int_t l, igraph_int_t h,
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igraph_int_t length);
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IGRAPH_EXPORT IGRAPH_FUNCATTR_CONST igraph_bool_t igraph_almost_equals(double a, double b, double eps);
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IGRAPH_EXPORT IGRAPH_FUNCATTR_CONST int igraph_cmp_epsilon(double a, double b, double eps);
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IGRAPH_EXPORT igraph_error_t igraph_power_law_fit(
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const igraph_vector_t* vector, igraph_plfit_result_t* result,
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igraph_real_t xmin, igraph_bool_t force_continuous
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);
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IGRAPH_EXPORT igraph_error_t igraph_plfit_result_calculate_p_value(
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const igraph_plfit_result_t* model, igraph_real_t* result, igraph_real_t precision
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);
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IGRAPH_END_C_DECLS
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#endif
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