Dynamic sparse vectors. More...
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Classes | |
class | VectorBase< R > |
Dense vector.Class VectorBase provides dense linear algebra vectors. Internally, VectorBase wraps std::vector. More... | |
class | SSVectorBase< R > |
Semi sparse vector.This class implements semi-sparse vectors. Such are VectorBases where the indices of its nonzero elements can be stored in an extra IdxSet. Only elements with absolute value > epsilon are considered to be nonzero. Since really storing the nonzeros is not always convenient, an SSVectorBase provides two different stati: setup and not setup. An SSVectorBase being setup means that the nonzero indices are available, otherwise an SSVectorBase is just an ordinary VectorBase with an empty IdxSet. Note that due to arithmetic operation, zeros can slip in, i.e., it is only guaranteed that at least every non-zero is in the IdxSet. More... | |
class | SLinSolver< R > |
Sparse Linear Solver virtual base class.Class SLinSolver provides a class for solving sparse linear systems with a matrix \(A\) and arbitrary right-hand side vectors. For doing so, the matrix must be first loaded to an SLinSolver object as an array of pointers to the column SVectors of this matrix. More... | |
class | DSVectorBase< R > |
Dynamic sparse vectors.Class DSVectorBase implements dynamic sparse vectors, i.e. SVectorBases with an automatic memory management. This allows the user to freely add() as many nonzeros to a DSVectorBase as desired, without any precautions. For saving memory method setMax() allows to reduce memory consumption to the amount really required. More... | |
Namespaces | |
soplex | |
Everything should be within this namespace. | |
Dynamic sparse vectors.
Definition in file dsvectorbase.h.