normal_cumulative.h

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/*
 * Copyright (c) 2018 XLAB d.o.o.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
 
#ifndef CIFER_NORMAL_CUMULATIVE_H
#define CIFER_NORMAL_CUMULATIVE_H
 
#include "cifer/sample/normal.h"
 
typedef struct cfe_normal_cumulative {
    cfe_normal nor;
    cfe_vec precomputed;    // table of precomputed values relative to the cumulative distribution
    bool two_sided;         // twoSided defines if we limit sampling only to non-negative integers or to all
    mpz_t sample_size;      // integer defining from how big of an interval do we need to sample uniformly to sample according to discrete Gauss
} cfe_normal_cumulative;
 
void cfe_normal_cumulative_init(cfe_normal_cumulative *s, mpf_t sigma, size_t n, bool two_sided);
 
void cfe_normal_cumulative_free(cfe_normal_cumulative *s);
 
void cfe_normal_cumulative_sample(mpz_t res, cfe_normal_cumulative *s);
 
void cfe_normal_cumulative_precompute(cfe_normal_cumulative *s);
 
size_t cfe_locate_int(mpz_t sample, size_t start, size_t end, cfe_vec *v, mpz_t middle_value);
 
void cfe_normal_cumulative_sample_vec(cfe_vec *res, cfe_normal_cumulative *s);
 
void cfe_normal_cumulative_sample_mat(cfe_mat *res, cfe_normal_cumulative *s);
 
#endif