LAL: Linear Arrangement Library 23.01.00
A library focused on algorithms on linear arrangements of graphs.
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Uniformly random generation of unlabelled free trees. More...
#include <rand_ulab_free_trees.hpp>
Public Member Functions | |
_rand_ulab_free_trees () noexcept | |
Empty constructor. | |
_rand_ulab_free_trees (uint64_t n, uint64_t seed=0) noexcept | |
Constructor with size of tree and seed for the random number generator. More... | |
_rand_ulab_free_trees (const _rand_ulab_free_trees &Gen)=default | |
Copy constructor. More... | |
_rand_ulab_free_trees (_rand_ulab_free_trees &&Gen)=default | |
Move constructor. More... | |
~_rand_ulab_free_trees ()=default | |
Default destructor. | |
_rand_ulab_free_trees & | operator= (const _rand_ulab_free_trees &g) noexcept=default |
Copy assignment operator. | |
_rand_ulab_free_trees & | operator= (_rand_ulab_free_trees &&g) noexcept=default |
Move assignment operator. | |
void | init (uint64_t n, uint64_t seed=0) noexcept |
Sets the size of the unlabelled trees to generate. More... | |
void | clear () noexcept |
Clears the memory used. More... | |
graphs::free_tree | get_tree () noexcept |
Generates uniformly at random a free unlabelled tree. More... | |
Protected Member Functions | |
std::pair< uint64_t, uint64_t > | ranrut (uint64_t n, uint64_t lr, uint64_t nt) noexcept |
Generates uniformly at random a rooted unlabelled tree of n nodes. More... | |
void | init_rn () noexcept |
Initialiases m_rn with values from the OEIS (see [36]). | |
const numeric::integer & | get_rn (uint64_t n) noexcept |
Computes all the values \(t_i\) for \(i \in [1,n]\). More... | |
std::pair< uint64_t, uint64_t > | choose_jd_from_T (uint64_t n) noexcept |
Chooses uniformly at random a pair \((j,d)\), according to some probability. More... | |
Protected Attributes | |
uint64_t | m_n |
Number of nodes of the tree. | |
std::mt19937 | m_gen |
Random number generator. | |
std::uniform_real_distribution< double > | m_unif |
Distribution of the numbers. | |
std::vector< numeric::integer > | m_rn |
The number of unlabelled rooted trees. More... | |
detail::data_array< uint64_t > | m_head_vector |
The head vector of the tree under construction. More... | |
Private Member Functions | |
uint64_t | forest (uint64_t m, uint64_t q, uint64_t nt) noexcept |
Generates uniformly at random a forest of m nodes. More... | |
void | bicenter (uint64_t n) noexcept |
Generates a tree of n nodes with two centroids. | |
const numeric::integer & | get_alpha_mq (const uint64_t m, const uint64_t q) noexcept |
Computes and return the value \(\alpha(m,q)\). More... | |
void | init_fn () noexcept |
Initialiases m_fn with values from the OEIS (see [35]). | |
const numeric::integer & | get_fn (const uint64_t n) noexcept |
Computes and returns the value \(f_n\). More... | |
std::pair< uint64_t, uint64_t > | choose_jd_from_alpha (const uint64_t m, const uint64_t q) noexcept |
Chooses uniformly at random a pair \((j,d)\), according to some probability. More... | |
Private Attributes | |
std::map< std::pair< uint64_t, uint64_t >, numeric::integer > | m_alpha |
Values \(\alpha_{m,q}\). More... | |
std::vector< numeric::integer > | m_fn |
The number of free unlabelled trees. More... | |
Uniformly random generation of unlabelled free trees.
Users should refrain from using this class. The generation of random labelled trees should be done using the wrapper class rand_ulab_free_trees. This class, however, contains the actual code to generate labelled rooted trees uniformly at random.
Every call to get_tree generates uniformly at random an unlabelled free tree using the algorithm described in [39]. This algorithm relies on the ranrut procedure (see [30], chapter 29) and runs in about the same time. The implementation of Wilf's paper (see [39]) in functions get_tree, forest, and bicenter includes the correction pointed out in [28] (page 38).
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inlinenoexcept |
Constructor with size of tree and seed for the random number generator.
In case the seed given is '0', a random seed will be generated.
n | Number of nodes. |
seed | The seed used for the random number generator. If the seed is 0 then a random seed is generated and used. |
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default |
Copy constructor.
Gen | Random unlabelled free tree generator. |
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default |
Move constructor.
Gen | Random unlabelled free tree generator. |
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privatenoexcept |
Chooses uniformly at random a pair \((j,d)\), according to some probability.
Probability of choosing \((j,d)\) is: \(\frac{d \cdot \alpha_{m - jd, q} \cdot t_d}{m\alpha_{m, q}}\). Here, q is fixed to \((n - 1)/2\) where n is m_n.
m | Amount of nodes. |
q | Maximum amount of nodes per connected component. |
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protectednoexceptinherited |
Chooses uniformly at random a pair \((j,d)\), according to some probability.
Probability of choosing \((j,d)\) is: \(\frac{d \cdot t_{k - jd} \cdot t_d}{(k - 1)t_k}\).
n | Number of nodes. |
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inlinenoexcept |
Clears the memory used.
In order to save computation time, this class has been designed to reuse memory when generating trees. For example, since it needs the values of well-known integer sequences (see attributes m_rn and m_alpha) that are costly to compute every time they are needed, they are stored in memory and reused over time.
So, if the user wants to generate trees of 1000 nodes there will be too much memory occupied (and unused) if then this class is used to generate trees of 10 nodes. In cases like this it is recommended to clear the memory occupied.
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privatenoexcept |
Generates uniformly at random a forest of m nodes.
Makes a random forest of m nodes and stores it in m_head_vector. Each tree in the forest has at most q nodes.
m | Integer \(m \ge 0\). |
q | Integer \(0 \le q \le m\). |
nt | Index to m_head_vector indicating where to store the next tree. |
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privatenoexcept |
Computes and return the value \(\alpha(m,q)\).
Stores the calculated value in m_alpha. In case the value has already been calculated, this method does nothing. See [39] for details on \(\alpha(m,q)\).
m | Number of nodes of the forest. |
q | Maximum number of nodes of each connected component of the forest. |
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privatenoexcept |
Computes and returns the value \(f_n\).
The value \(f_n\) is the number of unlabelled free trees on \(n\) nodes. The method implements Otter's formula (see [31]).
n | Number of nodes of the tree. |
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protectednoexceptinherited |
Computes all the values \(t_i\) for \(i \in [1,n]\).
Here \(n\) is m_n. In case these values have already been calculated, this method does nothing.
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noexcept |
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inlinenoexcept |
Sets the size of the unlabelled trees to generate.
Initialises m_rn with values extracted from [36]. It also initialises m_fn with values extracted from [35].
Initialises the random number generator with seed. When seed is 0, a random seed is used.
n | Number of nodes. |
seed | The seed used for the random number generator. If the seed is 0 then a random seed is generated and used. |
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protectednoexceptinherited |
Generates uniformly at random a rooted unlabelled tree of n nodes.
The first call to this method should have lr = m_n + 1.
n | Number of nodes of the rooted tree to generate. |
lr | Pointer to the root of the last tree added. m_head_vector[lr] is the node that the root points to. |
nt | Index to m_head_vector where we have to place the new tree. |
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private |
Values \(\alpha_{m,q}\).
\(\alpha_{m,q}\) is he number of rooted forests of \(m\) nodes whose trees have at most \(q\) nodes each. See [39].
Since \(m\) and \(q\) are usually calculated as \(m=n-1\) and \(q=(n - 1)/2\) there is only one value of \(q\) for each \(n\), so we do not need a matrix.
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private |
The number of free unlabelled trees.
Contains \(f_n\) for \(n\ge 0\).
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protectedinherited |
The head vector of the tree under construction.
This list has n values for m_n nodes. The first position contains the root vertex.
Do not use its actual type (lal::head_vector) in an attempt to make memory usage a bit more efficient.
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protectedinherited |
The number of unlabelled rooted trees.
Contains \(r_n\) for \(n\ge 0\).