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LINE Solver (C++)
Templated C++ port of the LINE queueing solver
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The MMAP assembly primitives solver_mam_basic.m builds its per-station arrival stream from: mmap_exponential, the probabilistic mmap_mark, the per-class mmap_scale, and mmap_super_safe. More...
#include <algorithm>#include <cmath>#include <cstddef>#include <limits>#include <numeric>#include <string>#include <vector>#include "line/api/mam/map_moment.h"#include "line/api/mam/mmap_lambda.h"#include "line/num/number.h"#include "line/util/error.h"#include "line/util/linalg.h"#include "line/util/matrix.h"Go to the source code of this file.
Namespaces | |
| namespace | line |
| namespace | line::mam |
Functions | |
| template<class T> | |
| Mmap< T > | line::mam::mmap_exponential_vec (const std::vector< T > &lambda, std::size_t n=1) |
| Order-n MMAP with the given per-class arrival rates (mmap_exponential.m). | |
| template<class T> | |
| Mmap< T > | line::mam::mmap_mark_probs (const Mmap< T > &in, const Matrix< T > &prob) |
| Re-mark an MMAP by a (K x R) probability matrix (mmap_mark.m): a type-k arrival is reported as class r with probability prob(k,r). | |
| template<class T> | |
| Mmap< T > | line::mam::mmap_scale_perclass (const Mmap< T > &in, const std::vector< T > &M) |
| Retarget the per-class MEAN inter-arrival times (mmap_scale.m, vector form). | |
| template<class T> | |
| Mmap< T > | line::mam::mmap_super_safe (const std::vector< Mmap< T > > &in, std::size_t maxorder) |
| Order-bounded superposition of several MMAPs (mmap_super_safe.m). | |
The MMAP assembly primitives solver_mam_basic.m builds its per-station arrival stream from: mmap_exponential, the probabilistic mmap_mark, the per-class mmap_scale, and mmap_super_safe.
They are separate from mmap_lambda.h because each of them is a DIFFERENT function from the same-named one already there: mmap_lambda.h's mmap_mark splits a MAP by per-PHASE weights and its mmap_scale takes a single target mean, which are the M3A signatures; the MAM solver calls the kpctoolbox ones, which split an MMAP by per-CLASS probabilities and target one mean per class. Naming them apart is deliberate: two functions with one name and two meanings is exactly the failure mode the parity notes record for map_normalize.
Definition in file mmap_assemble.h.