Description
Base class for collecting objects inherited from ChConstraint, ChVariables and optionally ChKblock.
These objects can be used to define a sparse representation of the system. This collector is important because it contains all the required information that is sent to a solver (usually a VI/CCP solver, or as a subcase, a linear solver).
The problem is described by a variational inequality VI(Z*xd,K):
The matrix \(Z\) that represents the problem has this form:
 H Cq'*q  f= 0  Cq E  l b c
with \(Y \ni \mathbb{l} \perp \mathbb{c} \in N_y\)
where \(N_y\) is the normal cone to \(Y\)
By flipping the sign of \(l_i\), the matrix \(Z\) can be symmetric (but in general non positive definite)
 H Cq'* q f=0  Cq E  l b c
 Linear Problem: \( \forall i \,Y_i = \mathbb{R}, N_{y_{i}} = 0\) (e.g. all bilateral)
 Linear Complementarity Problem (LCP): \( 0\le c \perp l\ge0 \) (i.e. \(Y_i = \mathbb{R}^+\))
 Cone Complementarity Problem (CCP): \(Y \ni \mathbb{l} \perp \mathbb{c} \in N_y\) ( \(Y_i\) are friction cones)
Notes
 most often you call ConvertToMatrixForm() right after a dynamic simulation step, in order to get the system matrices updated to the last timestep;
 when using Anitescu default stepper, the 'f' vector contains forces*timestep = F*dt
 when using Anitescu default stepper, 'q' represents the 'delta speed',
 when using Anitescu default stepper, 'b' represents the dt/phi stabilization term.
 usually, H = M, the mass matrix, but in some cases, ex. when using implicit integrators, objects inherited from ChKblock can be added too, hence H could be H=a*M+b*K+c*R (but not all solvers handle ChKblock!)
All solvers require that the description of the system is passed by means of a ChSystemDescriptor object that holds a list of all the constraints, variables, masses, known terms (ex.forces) under the form of ChVariables, ChConstraints and ChKblock.
In this default implementation, the ChSystemDescriptor simply holds a vector of pointers to ChVariables or to ChConstraints, but more advanced implementations (ex. for supporting parallel GPU solvers) could store constraints and variables structures with other, more efficient data schemes.
#include <ChSystemDescriptor.h>
Public Member Functions  
ChSystemDescriptor ()  
Constructor.  
virtual  ~ChSystemDescriptor () 
Destructor.  
std::vector< ChConstraint * > &  GetConstraintsList () 
Access the vector of constraints.  
std::vector< ChVariables * > &  GetVariablesList () 
Access the vector of variables.  
std::vector< ChKblock * > &  GetKblocksList () 
Access the vector of stiffness matrix blocks.  
virtual void  BeginInsertion () 
Begin insertion of items.  
virtual void  InsertConstraint (ChConstraint *mc) 
Insert reference to a ChConstraint object.  
virtual void  InsertVariables (ChVariables *mv) 
Insert reference to a ChVariables object.  
virtual void  InsertKblock (ChKblock *mk) 
Insert reference to a ChKblock object (a piece of matrix)  
virtual void  EndInsertion () 
End insertion of items.  
virtual int  CountActiveVariables () 
Count & returns the scalar variables in the system (excluding ChVariable objects that have IsActive() as false). More...  
virtual int  CountActiveConstraints () 
Count & returns the scalar constraints in the system (excluding ChConstraint objects that have IsActive() as false). More...  
virtual void  UpdateCountsAndOffsets () 
Updates counts of scalar variables and scalar constraints, if you added/removed some item or if you switched some active state, otherwise CountActiveVariables() and CountActiveConstraints() might fail. More...  
virtual void  SetMassFactor (const double mc_a) 
Sets the c_a coefficient (default=1) used for scaling the M masses of the vvariables when performing ShurComplementProduct(), SystemProduct(), ConvertToMatrixForm(),.  
virtual double  GetMassFactor () 
Gets the c_a coefficient (default=1) used for scaling the M masses of the vvariables when performing ShurComplementProduct(), SystemProduct(), ConvertToMatrixForm(),.  
virtual int  BuildFbVector (ChMatrix<> &Fvector) 
Get a vector with all the 'fb' known terms ('forces'etc.) associated to all variables, ordered into a column vector. More...  
virtual int  BuildBiVector (ChMatrix<> &Bvector) 
Get a vector with all the 'bi' known terms ('constraint residuals' etc.) associated to all constraints, ordered into a column vector. More...  
virtual int  BuildDiVector (ChMatrix<> &Dvector) 
Get the d vector = {f; b} with all the 'fb' and 'bi' known terms, as in Z*yd (it is the concatenation of BuildFbVector and BuildBiVector) The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary. More...  
virtual int  BuildDiagonalVector (ChMatrix<> &Diagonal_vect) 
Get the D diagonal of the Z system matrix, as a single column vector (it includes all the diagonal masses of M, and all the diagonal E (cfm) terms). More...  
virtual int  FromVariablesToVector (ChMatrix<> &mvector, bool resize_vector=true) 
Using this function, one may get a vector with all the variables 'q' ordered into a column vector. More...  
virtual int  FromVectorToVariables (ChMatrix<> &mvector) 
Using this function, one may go in the opposite direction of the FromVariablesToVector() function, i.e. More...  
virtual int  FromConstraintsToVector (ChMatrix<> &mvector, bool resize_vector=true) 
Using this function, one may get a vector with all the constraint reactions 'l_i' ordered into a column vector. More...  
virtual int  FromVectorToConstraints (ChMatrix<> &mvector) 
Using this function, one may go in the opposite direction of the FromConstraintsToVector() function, i.e. More...  
virtual int  FromUnknownsToVector (ChMatrix<> &mvector, bool resize_vector=true) 
Using this function, one may get a vector with all the unknowns x={q,l} i.e. More...  
virtual int  FromVectorToUnknowns (ChMatrix<> &mvector) 
Using this function, one may go in the opposite direction of the FromUnknownsToVector() function, i.e. More...  
virtual void  ShurComplementProduct (ChMatrix<> &result, ChMatrix<> *lvector, std::vector< bool > *enabled=0) 
Performs the product of N, the Shur complement of the KKT matrix, by an l vector (if x not provided, use current lagrangian multipliers l_i), that is result = [N]*l = [ [Cq][M^(1)][Cq']  [E] ] * l where [Cq] are the jacobians, [M] is the mass matrix, [E] is the matrix of the optional cfm 'constraint force mixing' terms for compliant constraints. More...  
virtual void  SystemProduct (ChMatrix<> &result, ChMatrix<> *x) 
Performs the product of the entire system matrix (KKT matrix), by a vector x ={q,l} (if x not provided, use values in current lagrangian multipliers l_i and current q variables) NOTE! the 'q' data in the ChVariables of the system descriptor is changed by this operation, so it may happen that you need to backup them via FromVariablesToVector() More...  
virtual void  ConstraintsProject (ChMatrix<> &multipliers) 
Performs projection of constraint multipliers onto allowed set (in case of bilateral constraints it does not affect multipliers, but for frictional constraints, for example, it projects multipliers onto the friction cones) Note! the 'l_i' data in the ChConstraints of the system descriptor are changed by this operation (they get the value of 'multipliers' after the projection), so it may happen that you need to backup them via FromConstraintToVector(). More...  
virtual void  UnknownsProject (ChMatrix<> &mx) 
As ConstraintsProject(), but instead of passing the l vector, the entire vector of unknowns x={q,l} is passed. More...  
virtual void  ComputeFeasabilityViolation (double &resulting_maxviolation, double &resulting_feasability) 
The following (obsolete) function may be called after a solver's 'Solve()' operation has been performed. More...  
virtual void  SetNumThreads (int nthreads) 
Set the number of threads (some operations like ShurComplementProduct are CPU intensive, so they can be run in parallel threads). More...  
virtual int  GetNumThreads () 
virtual void  ConvertToMatrixForm (ChSparseMatrix *Cq, ChSparseMatrix *H, ChSparseMatrix *E, ChMatrix<> *Fvector, ChMatrix<> *Bvector, ChMatrix<> *Frict, bool only_bilaterals=false, bool skip_contacts_uv=false) 
The following function may be used to create the Jacobian and the mass matrix of the variational problem in matrix form, by assembling all the jacobians of all the constraints/contacts, all the mass matrices, all vectors, as they are currently stored in the sparse data of all ChConstraint and ChVariables contained in this ChSystemDescriptor. More...  
virtual void  ConvertToMatrixForm (ChSparseMatrix *Z, ChMatrix<> *rhs) 
Create and return the assembled system matrix and RHS vector. More...  
virtual void  DumpLastMatrices (bool assembled=false, const char *path="") 
Saves to disk the LAST used matrices of the problem. More...  
virtual void  ArchiveOUT (ChArchiveOut &marchive) 
Method to allow serialization of transient data to archives.  
virtual void  ArchiveIN (ChArchiveIn &marchive) 
Method to allow deserialization of transient data from archives.  
Protected Attributes  
std::vector< ChConstraint * >  vconstraints 
list of pointers to all the ChConstraint in the current Chrono system  
std::vector< ChVariables * >  vvariables 
list of pointers to all the ChVariables in the current Chrono system  
std::vector< ChKblock * >  vstiffness 
list of pointers to all the ChKblock in the current Chrono system  
int  num_threads 
ChSpinlock *  spinlocktable 
double  c_a 
Member Function Documentation

virtual 
Get a vector with all the 'bi' known terms ('constraint residuals' etc.) associated to all constraints, ordered into a column vector.
The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary.
 Parameters

Bvector matrix which will contain the entire vector of 'b'

virtual 
Get the D diagonal of the Z system matrix, as a single column vector (it includes all the diagonal masses of M, and all the diagonal E (cfm) terms).
The Diagonal_vect must already have the size of n. of unknowns, otherwise it will be resized if necessary).
 Parameters

Diagonal_vect matrix which will contain the entire vector of terms on M and E diagonal

virtual 
Get the d vector = {f; b} with all the 'fb' and 'bi' known terms, as in Z*yd (it is the concatenation of BuildFbVector and BuildBiVector) The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary.
 Parameters

Dvector matrix which will contain the entire vector of {f;b}

virtual 
Get a vector with all the 'fb' known terms ('forces'etc.) associated to all variables, ordered into a column vector.
The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary.
 Parameters

Fvector matrix which will contain the entire vector of 'f'

virtual 
The following (obsolete) function may be called after a solver's 'Solve()' operation has been performed.
This gives an estimate of 'how good' the solver had been in finding the proper solution. Resulting estimates are passed as references in member arguments.
 Parameters

resulting_maxviolation gets the max constraint violation (either bi and unilateral.) resulting_feasability gets the max feasability as max l*c , for unilateral only

virtual 
Performs projection of constraint multipliers onto allowed set (in case of bilateral constraints it does not affect multipliers, but for frictional constraints, for example, it projects multipliers onto the friction cones) Note! the 'l_i' data in the ChConstraints of the system descriptor are changed by this operation (they get the value of 'multipliers' after the projection), so it may happen that you need to backup them via FromConstraintToVector().
 Parameters

multipliers matrix which contains the entire vector of 'l_i' multipliers to be projected

virtual 
The following function may be used to create the Jacobian and the mass matrix of the variational problem in matrix form, by assembling all the jacobians of all the constraints/contacts, all the mass matrices, all vectors, as they are currently stored in the sparse data of all ChConstraint and ChVariables contained in this ChSystemDescriptor.
This can be useful for debugging, data dumping, and similar purposes (most solvers avoid using these matrices, for performance), for example you will load these matrices in Matlab. Optionally, tangential (u,v) contact jacobians may be skipped, or only bilaterals can be considered The matrices and vectors are automatically resized if needed.
 Parameters

Cq fill this system jacobian matrix, if not null H fill this system H (mass+stiffness+damp) matrix, if not null E fill this system 'compliance' matrix , if not null Fvector fill this vector as the known term 'f', if not null Bvector fill this vector as the known term 'b', if not null Frict fill as a vector with friction coefficients (=1 for only_bilaterals tangent comp.; =2 for bilaterals), if not null skip unilateral constraints skip_contacts_uv skip the tangential reaction constraints

virtual 
Create and return the assembled system matrix and RHS vector.
 Parameters

[out] Z assembled system matrix [out] rhs assembled RHS vector

virtual 
Count & returns the scalar constraints in the system (excluding ChConstraint objects that have IsActive() as false).
Note: this function also updates the offsets of all constraints in 'l' global vector (see GetOffset() in ChConstraint).

virtual 
Count & returns the scalar variables in the system (excluding ChVariable objects that have IsActive() as false).
Note: the number of scalar variables is not necessarily the number of inserted ChVariable objects, some could be inactive. Note: this function also updates the offsets of all variables in 'q' global vector (see GetOffset() in ChVariables).

virtual 
Saves to disk the LAST used matrices of the problem.
If assembled == true, dump_Z.dat has the assembled optimization matrix (Matlab sparse format) dump_rhs.dat has the assembled RHS Otherwise, dump_H.dat has masses and/or stiffness (Matlab sparse format) dump_Cq.dat has the jacobians (Matlab sparse format) dump_E.dat has the constr.compliance (Matlab sparse format) dump_f.dat has the applied loads dump_b.dat has the constraint rhs

virtual 
Using this function, one may get a vector with all the constraint reactions 'l_i' ordered into a column vector.
The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary (but uf you are sure that the vector has already the proper size, you can optimize the performance a bit by setting resize_vector as false). Optionally, you can pass an 'enabled' vector of bools, that must have the same length of the l_i reactions vector; constraints with enabled=false are not handled.
 Returns
 the number of scalar constr.multipliers (i.e. the rows of the column vector).
 Parameters

mvector matrix which will contain the entire vector of 'l_i' resize_vector if true the vector size will be checked & resized if necessary

virtual 
Using this function, one may get a vector with all the unknowns x={q,l} i.e.
q variables & l_i constr. ordered into a column vector. The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary (but if you are sure that the vector has already the proper size, you can optimize the performance a bit by setting resize_vector as false).
 Returns
 the number of scalar unknowns
 Parameters

mvector matrix which will contain the entire vector x={q,l} resize_vector if true the vector size will be checked & resized if necessary

virtual 
Using this function, one may get a vector with all the variables 'q' ordered into a column vector.
The column vector must be passed as a ChMatrix<> object, which will be automatically reset and resized to the proper length if necessary (but if you are sure that the vector has already the proper size, you can optimize the performance a bit by setting resize_vector as false).
 Returns
 the number of scalar variables (i.e. the rows of the column vector).
 Parameters

mvector matrix which will contain the entire vector of 'q' resize_vector if true the vector size will be checked & resized if necessary

virtual 
Using this function, one may go in the opposite direction of the FromConstraintsToVector() function, i.e.
one gives a vector with all the constr.reactions 'l_i' ordered into a column vector, and the constraint objects are updated according to these values. Optionally, you can pass an 'enabled' vector of bools, that must have the same length of the l_i reactions vector; constraints with enabled=false are not handled. NOTE!!! differently from FromConstraintsToVector(), which always works, this function will fail if mvector does not match the amount and ordering of the variable objects!!! (it is up to the user to check this!) btw: most often, this is called after FromConstraintsToVector() to do a kind of 'undo', for example.
 Returns
 the number of scalar constraint multipliers (i.e. the rows of the column vector).
 Parameters

mvector matrix which contains the entire vector of 'l_i'

virtual 
Using this function, one may go in the opposite direction of the FromUnknownsToVector() function, i.e.
one gives a vector with all the unknowns x={q,l} ordered into a column vector, and the variables q and constr.multipliers l objects are updated according to these values. NOTE!!! differently from FromUnknownsToVector(), which always works, this function will fail if mvector does not match the amount and ordering of the variable and constraint objects!!! (it is up to the user to check this!)
 Parameters

mvector matrix which contains the entire vector x={q,l}

virtual 
Using this function, one may go in the opposite direction of the FromVariablesToVector() function, i.e.
one gives a vector with all the variables 'q' ordered into a column vector, and the variables objects are updated according to these values. NOTE!!! differently from FromVariablesToVector(), which always works, this function will fail if mvector does not match the amount and ordering of the variable objects!!! (it is up to the user to check this!) btw: most often, this is called after FromVariablesToVector() to do a kind of 'undo', for example.
 Returns
 the number of scalar variables (i.e. the rows of the column vector).
 Parameters

mvector matrix which contains the entire vector of 'q'

virtual 
Set the number of threads (some operations like ShurComplementProduct are CPU intensive, so they can be run in parallel threads).
By default, the number of threads is the same of max.available OpenMP cores

virtual 
Performs the product of N, the Shur complement of the KKT matrix, by an l vector (if x not provided, use current lagrangian multipliers l_i), that is result = [N]*l = [ [Cq][M^(1)][Cq']  [E] ] * l where [Cq] are the jacobians, [M] is the mass matrix, [E] is the matrix of the optional cfm 'constraint force mixing' terms for compliant constraints.
The N matrix is not built explicitly, to exploit sparsity, it is described by the inserted constraints and inserted variables. Optionally, you can pass an 'enabled' vector of bools, that must have the same length of the l_i reactions vector; constraints with enabled=false are not handled. NOTE! the 'q' data in the ChVariables of the system descriptor is changed by this operation, so it may happen that you need to backup them via FromVariablesToVector() NOTE! currently this function does NOT support the cases that use also ChKblock objects, because it would need to invert the global M+K, that is not diagonal, for doing = [N]*l = [ [Cq][(M+K)^(1)][Cq']  [E] ] * l
 Parameters

result matrix which contains the result of N*l_i lvector optional matrix with the vector to be multiplied (if enabled null, use current constr. multipliers l_i) optional: vector of enable flags, one per scalar constraint. true=enable, false=disable (skip)
Performs the product of the entire system matrix (KKT matrix), by a vector x ={q,l} (if x not provided, use values in current lagrangian multipliers l_i and current q variables) NOTE! the 'q' data in the ChVariables of the system descriptor is changed by this operation, so it may happen that you need to backup them via FromVariablesToVector()
 Parameters

result matrix which contains the result of matrix by x x optional matrix with the vector to be multiplied (if null, use current l_i and q)

virtual 
As ConstraintsProject(), but instead of passing the l vector, the entire vector of unknowns x={q,l} is passed.
Note! the 'l_i' data in the ChConstraints of the system descriptor are changed by this operation (they get the value of 'multipliers' after the projection), so it may happen that you need to backup them via FromConstraintToVector().
 Parameters

mx matrix which contains the entire vector of unknowns x={q,l} (only the l part is projected)

virtual 
Updates counts of scalar variables and scalar constraints, if you added/removed some item or if you switched some active state, otherwise CountActiveVariables() and CountActiveConstraints() might fail.