MinLCA algorithms
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Randomised greedy nearest colour approach for MinLCA. More...
#include <greedy-random.hh>
Public Member Functions | |
void | p (double p) |
Change the probability of choosing a random colour. More... | |
template<typename Number > | |
void | seed (Number seed) |
Change the seed for the internal random number generator. More... | |
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TEMPLATE_GRAPH_TYPEDEFS (Graph) | |
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TEMPLATE_GRAPH_TYPEDEFS (Graph) | |
virtual void | init () |
Reset the data structures of the algorithm. More... | |
MinLCAStatus | status () const |
Status of the solution. | |
virtual MinLCAStatus | run () |
Run the algorithm. More... | |
const Colouring & | colouring () const |
Current colouring. More... | |
int | operator[] (const Node &v) const |
Colour of a vertex. More... | |
int | operator[] (const Edge &e) const |
Cost of an edge. More... | |
long long | lcaValue () const |
Value (cost) of the current solution. More... | |
int | totalColours () const |
Total number of colours used. More... | |
long long | recalculateLca () |
Force a recalculation of the cost for the current solution. More... | |
int | maxK () |
Maximum number of allowed colours. More... | |
Protected Types | |
typedef MinLCAGreedyNearestRnd< Graph > | Greedy |
typedef MinLCAGreedy< Graph > | Base |
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typedef MinLCA< Graph > | Base |
The base class, for shorter reference. | |
Protected Member Functions | |
TEMPLATE_GRAPH_TYPEDEFS (Graph) | |
template<typename Number = unsigned long long> | |
MinLCAGreedyNearestRnd (const Graph &g, int maxK=0, double p=0.0, Number seed=0ULL) | |
Constructor. More... | |
virtual void | paintVertex (const Node &v) |
Assign a colour to a vertex using a greedy approach. | |
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MinLCAGreedy (const Graph &g, int maxK=0) | |
Constructor for derived classes to use. More... | |
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void | setSolutionNotFound () |
Auxiliary function to set solution status to not found. | |
void | setSolutionFound () |
Auxiliary function to set solution status to found. | |
virtual void | setColour (const Node &v, int vColour) |
Set the colour of a vertex. More... | |
MinLCA (const Graph &g, int maxK=0) | |
Constructor for derived classes to use. More... | |
Protected Attributes | |
double | _p |
Probability of choosing a random colour. | |
lemon::Random | _r |
Random number generator. | |
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const Graph & | _g |
A const reference to the graph we want to arrange. | |
int | _k |
Largest index of the colours used. | |
int | _max_k |
Maximum number of colours allowed. | |
long long | _lca |
Cost of the current solution. | |
Colouring | _c |
The vertex colouring. | |
MinLCAStatus | _s |
The status of the solution. | |
Additional Inherited Members | |
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typedef IntNodeMap | Colouring |
Type for graph colourings. | |
Randomised greedy nearest colour approach for MinLCA.
Each vertex is assigned the colour which has more neighbours at distance 1, with some probability of getting a random colour. Read the report of Bachelor's Thesis Algorithms for the linear colouring arrangement problem for more information.
Definition at line 20 of file greedy-random.hh.
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inlineprotected |
Constructor.
p | Probability of choosing a random colour |
seed | Seed for the random number generator |
Definition at line 43 of file greedy-random.hh.
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inline |
Change the probability of choosing a random colour.
p | New probability |
Definition at line 90 of file greedy-random.hh.
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inline |
Change the seed for the internal random number generator.
seed | New seed |
Definition at line 99 of file greedy-random.hh.