gtsam::Scheduler Class Reference
Detailed Description
Scheduler class Creates one variable for each student, and three variables for each of the student's areas, for a total of 4*nrStudents variables.
The "student" variable will determine when the student takes the qual. The "area" variables determine which faculty are on his/her committee.
Inheritance diagram for gtsam::Scheduler:
Public Member Functions | |
| Scheduler (size_t maxNrStudents) | |
| Constructor We need to know the number of students in advance for ordering keys. More... | |
| virtual | ~Scheduler () |
| Destructor. | |
| void | addFaculty (const std::string &facultyName) |
| size_t | nrFaculty () const |
| void | setAvailability (const std::string &available) |
| boolean std::string of nrTimeSlots * nrFaculty | |
| void | addSlot (const std::string &slotName) |
| size_t | nrTimeSlots () const |
| const std::string & | slotName (size_t s) const |
| void | setSlotsAvailable (const std::vector< double > &slotsAvailable) |
| slots available, boolean | |
| void | addArea (const std::string &facultyName, const std::string &areaName) |
| Scheduler (size_t maxNrStudents, const std::string &filename) | |
| Constructor that reads in faculty, slots, availibility. More... | |
| const DiscreteKey & | key (size_t s, boost::optional< size_t > area=boost::none) const |
| get key for student and area, 0 is time slot itself | |
| void | addStudent (const std::string &studentName, const std::string &area1, const std::string &area2, const std::string &area3, const std::string &advisor) |
| addStudent has to be called after adding slots and faculty | |
| size_t | nrStudents () const |
| current number of students | |
| const std::string & | studentName (size_t i) const |
| const DiscreteKey & | studentKey (size_t i) const |
| const std::string & | studentArea (size_t i, size_t area) const |
| void | addStudentSpecificConstraints (size_t i, boost::optional< size_t > slot=boost::none) |
| Add student-specific constraints to the graph. | |
| void | buildGraph (size_t mutexBound=7) |
| Main routine that builds factor graph. | |
| void | print (const std::string &s="Scheduler", const KeyFormatter &formatter=DefaultKeyFormatter) const override |
| print More... | |
| void | printAssignment (sharedValues assignment) const |
| Print readable form of assignment. | |
| void | printSpecial (sharedValues assignment) const |
| Special print for single-student case. | |
| void | accumulateStats (sharedValues assignment, std::vector< size_t > &stats) const |
| Accumulate faculty stats. | |
| DiscreteBayesNet::shared_ptr | eliminate () const |
| Eliminate, return a Bayes net. | |
| sharedValues | optimalAssignment () const |
| Find the best total assignment - can be expensive. | |
| sharedValues | bestSchedule () const |
| find the assignment of students to slots with most possible committees | |
| sharedValues | bestAssignment (sharedValues bestSchedule) const |
| find the corresponding most desirable committee assignment | |
| Public Member Functions inherited from gtsam::CSP | |
| void | addSingleValue (const DiscreteKey &dkey, size_t value) |
| Add a unary constraint, allowing only a single value. | |
| void | addAllDiff (const DiscreteKey &key1, const DiscreteKey &key2) |
| Add a binary AllDiff constraint. | |
| void | addAllDiff (const DiscreteKeys &dkeys) |
| Add a general AllDiff constraint. | |
| sharedValues | optimalAssignment () const |
| Find the best total assignment - can be expensive. | |
| sharedValues | optimalAssignment (const Ordering &ordering) const |
| Find the best total assignment - can be expensive. | |
| void | runArcConsistency (size_t cardinality, size_t nrIterations=10, bool print=false) const |
| Public Member Functions inherited from gtsam::DiscreteFactorGraph | |
| DiscreteFactorGraph () | |
| Default constructor. | |
| template<typename ITERATOR > | |
| DiscreteFactorGraph (ITERATOR firstFactor, ITERATOR lastFactor) | |
| Construct from iterator over factors. | |
| template<class CONTAINER > | |
| DiscreteFactorGraph (const CONTAINER &factors) | |
| Construct from container of factors (shared_ptr or plain objects) | |
| template<class DERIVEDFACTOR > | |
| DiscreteFactorGraph (const FactorGraph< DERIVEDFACTOR > &graph) | |
| Implicit copy/downcast constructor to override explicit template container constructor. | |
| virtual | ~DiscreteFactorGraph () |
| Destructor. | |
| template<class SOURCE > | |
| void | add (const DiscreteKey &j, SOURCE table) |
| template<class SOURCE > | |
| void | add (const DiscreteKey &j1, const DiscreteKey &j2, SOURCE table) |
| template<class SOURCE > | |
| void | add (const DiscreteKeys &keys, SOURCE table) |
| add shared discreteFactor immediately from arguments | |
| KeySet | keys () const |
| Return the set of variables involved in the factors (set union) | |
| DecisionTreeFactor | product () const |
| return product of all factors as a single factor | |
| double | operator() (const DiscreteFactor::Values &values) const |
| Evaluates the factor graph given values, returns the joint probability of the factor graph given specific instantiation of values. | |
| void | print (const std::string &s="DiscreteFactorGraph", const KeyFormatter &formatter=DefaultKeyFormatter) const override |
| print More... | |
| DiscreteFactor::sharedValues | optimize () const |
Solve the factor graph by performing variable elimination in COLAMD order using the dense elimination function specified in function, followed by back-substitution resulting from elimination. More... | |
| bool | equals (const This &fg, double tol=1e-9) const |
| Public Member Functions inherited from gtsam::FactorGraph< DiscreteFactor > | |
| virtual | ~FactorGraph ()=default |
| Default destructor. | |
| void | reserve (size_t size) |
| Reserve space for the specified number of factors if you know in advance how many there will be (works like FastVector::reserve). | |
| IsDerived< DERIVEDFACTOR > | push_back (boost::shared_ptr< DERIVEDFACTOR > factor) |
| Add a factor directly using a shared_ptr. | |
| IsDerived< DERIVEDFACTOR > | push_back (const DERIVEDFACTOR &factor) |
| Add a factor by value, will be copy-constructed (use push_back with a shared_ptr to avoid the copy). | |
| IsDerived< DERIVEDFACTOR > | emplace_shared (Args &&... args) |
| Emplace a shared pointer to factor of given type. | |
| IsDerived< DERIVEDFACTOR > | add (boost::shared_ptr< DERIVEDFACTOR > factor) |
add is a synonym for push_back. | |
| std::enable_if< std::is_base_of< FactorType, DERIVEDFACTOR >::value, boost::assign::list_inserter< RefCallPushBack< This > > >::type | operator+= (boost::shared_ptr< DERIVEDFACTOR > factor) |
+= works well with boost::assign list inserter. | |
| HasDerivedElementType< ITERATOR > | push_back (ITERATOR firstFactor, ITERATOR lastFactor) |
| Push back many factors with an iterator over shared_ptr (factors are not copied) | |
| HasDerivedValueType< ITERATOR > | push_back (ITERATOR firstFactor, ITERATOR lastFactor) |
| Push back many factors with an iterator (factors are copied) | |
| HasDerivedElementType< CONTAINER > | push_back (const CONTAINER &container) |
| Push back many factors as shared_ptr's in a container (factors are not copied) | |
| HasDerivedValueType< CONTAINER > | push_back (const CONTAINER &container) |
| Push back non-pointer objects in a container (factors are copied). | |
| void | add (const FACTOR_OR_CONTAINER &factorOrContainer) |
| Add a factor or container of factors, including STL collections, BayesTrees, etc. | |
| boost::assign::list_inserter< CRefCallPushBack< This > > | operator+= (const FACTOR_OR_CONTAINER &factorOrContainer) |
| Add a factor or container of factors, including STL collections, BayesTrees, etc. | |
| std::enable_if< std::is_base_of< This, typenameCLIQUE::FactorGraphType >::value >::type | push_back (const BayesTree< CLIQUE > &bayesTree) |
| Push back a BayesTree as a collection of factors. More... | |
| FactorIndices | add_factors (const CONTAINER &factors, bool useEmptySlots=false) |
| Add new factors to a factor graph and returns a list of new factor indices, optionally finding and reusing empty factor slots. | |
| bool | equals (const This &fg, double tol=1e-9) const |
| Check equality. | |
| size_t | size () const |
| return the number of factors (including any null factors set by remove() ). | |
| bool | empty () const |
| Check if the graph is empty (null factors set by remove() will cause this to return false). | |
| const sharedFactor | at (size_t i) const |
| Get a specific factor by index (this checks array bounds and may throw an exception, as opposed to operator[] which does not). | |
| sharedFactor & | at (size_t i) |
| Get a specific factor by index (this checks array bounds and may throw an exception, as opposed to operator[] which does not). | |
| const sharedFactor | operator[] (size_t i) const |
| Get a specific factor by index (this does not check array bounds, as opposed to at() which does). | |
| sharedFactor & | operator[] (size_t i) |
| Get a specific factor by index (this does not check array bounds, as opposed to at() which does). | |
| const_iterator | begin () const |
| Iterator to beginning of factors. | |
| const_iterator | end () const |
| Iterator to end of factors. | |
| sharedFactor | front () const |
| Get the first factor. | |
| sharedFactor | back () const |
| Get the last factor. | |
| iterator | begin () |
| non-const STL-style begin() | |
| iterator | end () |
| non-const STL-style end() | |
| void | resize (size_t size) |
| Directly resize the number of factors in the graph. More... | |
| void | remove (size_t i) |
| delete factor without re-arranging indexes by inserting a nullptr pointer | |
| void | replace (size_t index, sharedFactor factor) |
| replace a factor by index | |
| iterator | erase (iterator item) |
| Erase factor and rearrange other factors to take up the empty space. | |
| iterator | erase (iterator first, iterator last) |
| Erase factors and rearrange other factors to take up the empty space. | |
| size_t | nrFactors () const |
| return the number of non-null factors | |
| KeySet | keys () const |
| Potentially slow function to return all keys involved, sorted, as a set. | |
| KeyVector | keyVector () const |
| Potentially slow function to return all keys involved, sorted, as a vector. | |
| bool | exists (size_t idx) const |
| MATLAB interface utility: Checks whether a factor index idx exists in the graph and is a live pointer. | |
| Public Member Functions inherited from gtsam::EliminateableFactorGraph< DiscreteFactorGraph > | |
| boost::shared_ptr< BayesNetType > | eliminateSequential (OptionalOrderingType orderingType=boost::none, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Do sequential elimination of all variables to produce a Bayes net. More... | |
| boost::shared_ptr< BayesNetType > | eliminateSequential (const Ordering &ordering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Do sequential elimination of all variables to produce a Bayes net. More... | |
| boost::shared_ptr< BayesTreeType > | eliminateMultifrontal (OptionalOrderingType orderingType=boost::none, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Do multifrontal elimination of all variables to produce a Bayes tree. More... | |
| boost::shared_ptr< BayesTreeType > | eliminateMultifrontal (const Ordering &ordering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Do multifrontal elimination of all variables to produce a Bayes tree. More... | |
| std::pair< boost::shared_ptr< BayesNetType >, boost::shared_ptr< FactorGraphType > > | eliminatePartialSequential (const Ordering &ordering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
Do sequential elimination of some variables, in ordering provided, to produce a Bayes net and a remaining factor graph. More... | |
| std::pair< boost::shared_ptr< BayesNetType >, boost::shared_ptr< FactorGraphType > > | eliminatePartialSequential (const KeyVector &variables, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
Do sequential elimination of the given variables in an ordering computed by COLAMD to produce a Bayes net and a remaining factor graph. More... | |
| std::pair< boost::shared_ptr< BayesTreeType >, boost::shared_ptr< FactorGraphType > > | eliminatePartialMultifrontal (const Ordering &ordering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
Do multifrontal elimination of some variables, in ordering provided, to produce a Bayes tree and a remaining factor graph. More... | |
| std::pair< boost::shared_ptr< BayesTreeType >, boost::shared_ptr< FactorGraphType > > | eliminatePartialMultifrontal (const KeyVector &variables, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
Do multifrontal elimination of the given variables in an ordering computed by COLAMD to produce a Bayes net and a remaining factor graph. More... | |
| boost::shared_ptr< BayesNetType > | marginalMultifrontalBayesNet (boost::variant< const Ordering &, const KeyVector & > variables, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Compute the marginal of the requested variables and return the result as a Bayes net. More... | |
| boost::shared_ptr< BayesNetType > | marginalMultifrontalBayesNet (boost::variant< const Ordering &, const KeyVector & > variables, const Ordering &marginalizedVariableOrdering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Compute the marginal of the requested variables and return the result as a Bayes net. More... | |
| boost::shared_ptr< BayesTreeType > | marginalMultifrontalBayesTree (boost::variant< const Ordering &, const KeyVector & > variables, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Compute the marginal of the requested variables and return the result as a Bayes tree. More... | |
| boost::shared_ptr< BayesTreeType > | marginalMultifrontalBayesTree (boost::variant< const Ordering &, const KeyVector & > variables, const Ordering &marginalizedVariableOrdering, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Compute the marginal of the requested variables and return the result as a Bayes tree. More... | |
| boost::shared_ptr< FactorGraphType > | marginal (const KeyVector &variables, const Eliminate &function=EliminationTraitsType::DefaultEliminate, OptionalVariableIndex variableIndex=boost::none) const |
| Compute the marginal factor graph of the requested variables. | |
Additional Inherited Members | |
| Public Types inherited from gtsam::CSP | |
| typedef KeyVector | Indices |
| A map from keys to values. | |
| typedef Assignment< Key > | Values |
| typedef boost::shared_ptr< Values > | sharedValues |
| Public Types inherited from gtsam::DiscreteFactorGraph | |
| typedef DiscreteFactorGraph | This |
| Typedef to this class. | |
| typedef FactorGraph< DiscreteFactor > | Base |
| Typedef to base factor graph type. | |
| typedef EliminateableFactorGraph< This > | BaseEliminateable |
| Typedef to base elimination class. | |
| typedef boost::shared_ptr< This > | shared_ptr |
| shared_ptr to this class | |
| typedef KeyVector | Indices |
| A map from keys to values. | |
| typedef Assignment< Key > | Values |
| typedef boost::shared_ptr< Values > | sharedValues |
| Public Types inherited from gtsam::FactorGraph< DiscreteFactor > | |
| typedef DiscreteFactor | FactorType |
| factor type | |
| typedef boost::shared_ptr< DiscreteFactor > | sharedFactor |
| Shared pointer to a factor. | |
| typedef sharedFactor | value_type |
| typedef FastVector< sharedFactor >::iterator | iterator |
| typedef FastVector< sharedFactor >::const_iterator | const_iterator |
| Public Types inherited from gtsam::EliminateableFactorGraph< DiscreteFactorGraph > | |
| typedef EliminationTraits< FactorGraphType > | EliminationTraitsType |
| Typedef to the specific EliminationTraits for this graph. | |
| typedef EliminationTraitsType::ConditionalType | ConditionalType |
| Conditional type stored in the Bayes net produced by elimination. | |
| typedef EliminationTraitsType::BayesNetType | BayesNetType |
| Bayes net type produced by sequential elimination. | |
| typedef EliminationTraitsType::EliminationTreeType | EliminationTreeType |
| Elimination tree type that can do sequential elimination of this graph. | |
| typedef EliminationTraitsType::BayesTreeType | BayesTreeType |
| Bayes tree type produced by multifrontal elimination. | |
| typedef EliminationTraitsType::JunctionTreeType | JunctionTreeType |
| Junction tree type that can do multifrontal elimination of this graph. | |
| typedef std::pair< boost::shared_ptr< ConditionalType >, boost::shared_ptr< _FactorType > > | EliminationResult |
| The pair of conditional and remaining factor produced by a single dense elimination step on a subgraph. | |
| typedef std::function< EliminationResult(const FactorGraphType &, const Ordering &)> | Eliminate |
| The function type that does a single dense elimination step on a subgraph. | |
| typedef boost::optional< const VariableIndex & > | OptionalVariableIndex |
| Typedef for an optional variable index as an argument to elimination functions. | |
| typedef boost::optional< Ordering::OrderingType > | OptionalOrderingType |
| Typedef for an optional ordering type. | |
| Protected Member Functions inherited from gtsam::FactorGraph< DiscreteFactor > | |
| FactorGraph () | |
| Default constructor. | |
| FactorGraph (ITERATOR firstFactor, ITERATOR lastFactor) | |
| Constructor from iterator over factors (shared_ptr or plain objects) | |
| FactorGraph (const CONTAINER &factors) | |
| Construct from container of factors (shared_ptr or plain objects) | |
| Protected Attributes inherited from gtsam::FactorGraph< DiscreteFactor > | |
| FastVector< sharedFactor > | factors_ |
| concept check, makes sure FACTOR defines print and equals More... | |
Constructor & Destructor Documentation
◆ Scheduler() [1/2]
|
inline |
Constructor We need to know the number of students in advance for ordering keys.
then add faculty, slots, areas, availability, students, in that order
◆ Scheduler() [2/2]
| gtsam::Scheduler::Scheduler | ( | size_t | maxNrStudents, |
| const std::string & | filename | ||
| ) |
Constructor that reads in faculty, slots, availibility.
Still need to add areas and students after this
Member Function Documentation
◆ print()
|
overridevirtual |
Reimplemented from gtsam::DiscreteFactorGraph.
The documentation for this class was generated from the following files:
- /Users/dellaert/git/github/gtsam_unstable/discrete/Scheduler.h
- /Users/dellaert/git/github/gtsam_unstable/discrete/Scheduler.cpp
