CGAL 6.2 - CGAL and Solvers

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Class and Concept List
Here is the list of all concepts and classes of this package. Classes are inside the namespace CGAL. Concepts are in the global namespace.
[detail level 1 2]

▼N CGAL |
C Eigen_diagonalize_traits | The class `Eigen_diagonalize_traits` provides an interface to the diagonalization of covariance matrices of Eigen
C Eigen_matrix | The class `Eigen_matrix` is a wrapper around `Eigen` matrix type `Eigen::Matrix`
C Eigen_solver_traits | The class `Eigen_solver_traits` provides an interface to the sparse solvers of Eigen
C Eigen_solver_traits< Eigen::BiCGSTAB< Eigen_sparse_matrix< double >::EigenType > > |
C Eigen_sparse_matrix | The class `Eigen_sparse_matrix` is a wrapper around `Eigen` matrix type `Eigen::SparseMatrix` that represents general matrices, be they symmetric or not
C Eigen_sparse_symmetric_matrix | The class `Eigen_sparse_symmetric_matrix` is a wrapper around `Eigen` matrix type `Eigen::SparseMatrix`
C Eigen_svd | The class `Eigen_svd` provides an algorithm to solve in the least square sense a linear system with a singular value decomposition using Eigen
C Eigen_vector | The class `Eigen_vector` is a wrapper around `Eigen` vector type, which is a simple array of numbers
C GLPK_mixed_integer_program_traits | This class provides an interface for formulating and solving constrained or unconstrained mixed integer programs using GLPK, which must be available on the system
C Linear_constraint | The linear constraint of a mixed integer program
C Linear_objective | The linear objective of a mixed integer program
C Mixed_integer_program_traits | The class `CGAL::Mixed_integer_program_traits` provides an interface for formulating and solving (constrained or unconstrained) mixed integer programs
C OSQP_quadratic_program_traits | Wraps the external OSQP solver
C SCIP_mixed_integer_program_traits | This class provides an interface for formulating and solving constrained or unconstrained mixed integer programs using SCIP (which must be available on the system)
C Variable | The variable of a mixed integer program
C DiagonalizeTraits | Concept providing functions to extract eigenvectors and eigenvalues from covariance matrices represented by an array `a`, using symmetric diagonalization
C LinearProgramTraits | A concept that describes the set of methods used to define and solve a linear programming (`lp`) problem of the general form:
C MixedIntegerProgramLinearConstraint | `MixedIntegerProgramLinearConstraint` is a concept of a linear constraint in a Mixed Integer Programming (MIP) problem
C MixedIntegerProgramLinearObjective | `MixedIntegerProgramLinearObjective` is a concept of the linear objective function in a Mixed Integer Programming (MIP) problem
C MixedIntegerProgramTraits | Concept describing the set of requirements for (constrained or unconstrained) Mixed Integer Programming (MIP) problems. A model of this concept stores the integer variables, linear objective, and linear constraints (if any) and provides a method to solve the problem
C MixedIntegerProgramVariable | `MixedIntegerProgramVariable` is a concept of a variable in a Mixed Integer Programming (MIP) problem
C NormalEquationSparseLinearAlgebraTraits_d | Concept describing the set of requirements for solving the normal equation \( A^t A X = A^t B \), \( A \) being a matrix, \( At \) its transpose matrix, \( B \) and \( X \) being two vectors
C QuadraticProgramTraits | A concept that describes the set of methods used to define and solve a quadratic programming (`qp`) problem of the general form:
▼C SparseLinearAlgebraTraits_d | The concept `SparseLinearAlgebraTraits_d` is used to solve sparse linear systems A \( \times \) X = B
C Matrix | `SparseLinearAlgebraTraits_d::Matrix` is a concept of a sparse matrix class
C Vector | `SparseLinearAlgebraTraits_d::Vector` is a concept of a vector that can be multiplied by a sparse matrix
C SparseLinearAlgebraWithFactorTraits_d | Concept describing the set of requirements for a direct sparse linear system solver with factorization. A model of this concept stores the left-hand matrix (denoted \( A \)) and provides an additional factorization method to solve the system for different right-hand vectors
▼C SvdTraits | The concept `SvdTraits` describes the linear algebra types and algorithms needed to solve in the least square sense a linear system with a singular value decomposition
C Matrix | Concept of matrix type used by the concept `SvdTraits`
C Vector | Concept of vector type used by the concept `SvdTraits`