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opensurgsim
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The description of a solution to a mixed linear complementarity problem. More...
#include <MlcpSolution.h>
Public Types | |
| typedef Eigen::Matrix< double, Eigen::Dynamic, 1 > | Vector |
Public Attributes | |
| Vector | x |
| Vector \(x\) specifying a solution to the specified mixed LCP problem. | |
| size_t | numIterations |
| The number of iterations performed. | |
| size_t | maxIterations |
| The max iterations allowed for a solve. | |
| double | epsilonConvergence |
| The precision, aka epsilon convergence. | |
| double | contactTolerance |
| The contact tolerance. | |
| bool | validConvergence |
| True if the final value of the convergence criteria is valid. | |
| bool | validSignorini |
| True if the final solution satisfies the Signorini conditions. | |
| double | convergenceCriteria |
| The final value of the convergence criteria. | |
| double | initialConvergenceCriteria |
| The initial value of the convergence criteria, before the solver has done anything. | |
| double | constraintConvergenceCriteria [MLCP_NUM_CONSTRAINT_TYPES] = {} |
| The final value of the convergence criteria for each of the constraint types. | |
| double | initialConstraintConvergenceCriteria [MLCP_NUM_CONSTRAINT_TYPES] = {} |
| The initial value of the convergence criteria for each of the constraint types. | |
The description of a solution to a mixed linear complementarity problem.
The solution consists of the vector \(x\) and various diagnostic parameters. If \(c = \mathbf{A}x + b\) is also needed, it can be computed by the caller.
1.8.12