Uses of Class
org.ojalgo.equation.Equation

Packages that use Equation

Package	Description
org.ojalgo.equation
org.ojalgo.matrix.task.iterative
org.ojalgo.optimisation
org.ojalgo.optimisation.convex
org.ojalgo.optimisation.linear

Uses of Equation in org.ojalgo.equation

Methods in org.ojalgo.equation that return Equation

Modifier and Type	Method	Description
static Equation	Equation.dense(int pivot, int cols)
static <N extends java.lang.Comparable<N>> Equation	Equation.dense(int pivot, int cols, DenseArray.Factory<N,?> factory)
static Equation	Equation.of(double rhs, int pivot, double... body)
static Equation	Equation.sparse(int pivot, int cols)
static Equation	Equation.sparse(int pivot, int cols, int numberOfNonzeros)
static <N extends java.lang.Comparable<N>> Equation	Equation.sparse(int pivot, int cols, PlainArray.Factory<N,?> factory)
static <N extends java.lang.Comparable<N>> Equation	Equation.sparse(int pivot, int cols, PlainArray.Factory<N,?> factory, int numberOfNonzeros)
static Equation	Equation.wrap(BasicArray<?> body, int pivot, double rhs)

Methods in org.ojalgo.equation that return types with arguments of type Equation

Modifier and Type	Method	Description
static java.util.List<Equation>	Equation.denseSystem(int rows, int cols)
static <N extends java.lang.Comparable<N>> java.util.List<Equation>	Equation.denseSystem(int rows, int cols, DenseArray.Factory<N,?> factory)
static java.util.List<Equation>	Equation.sparseSystem(int rows, int cols)
static java.util.List<Equation>	Equation.sparseSystem(int rows, int cols, int numberOfNonzeros)
static <N extends java.lang.Comparable<N>> java.util.List<Equation>	Equation.sparseSystem(int rows, int cols, PlainArray.Factory<N,?> factory)
static <N extends java.lang.Comparable<N>> java.util.List<Equation>	Equation.sparseSystem(int rows, int cols, PlainArray.Factory<N,?> factory, int numberOfNonzeros)

Methods in org.ojalgo.equation with parameters of type Equation

Modifier and Type	Method	Description
int	Equation.compareTo(Equation other)

Uses of Equation in org.ojalgo.matrix.task.iterative

Fields in org.ojalgo.matrix.task.iterative with type parameters of type Equation

Modifier and Type	Field	Description
private java.util.List<Equation>	SSORPreconditioner.myEquations
private java.util.List<Equation>	MutableSolver.myRows

Methods in org.ojalgo.matrix.task.iterative that return types with arguments of type Equation

Modifier and Type	Method	Description
protected java.util.stream.Stream<Equation>	MutableSolver.equations()
(package private) static java.util.List<Equation>	IterativeSolverTask.toListOfRows(Access2D<?> body, Access2D<?> rhs)

Methods in org.ojalgo.matrix.task.iterative with parameters of type Equation

Modifier and Type	Method	Description
boolean	MutableSolver.add(Equation row)
boolean	MutableSolver.remove(Equation row)

Method parameters in org.ojalgo.matrix.task.iterative with type arguments of type Equation

Modifier and Type	Method	Description
void	IdentityPreconditioner.prepare(java.util.List<Equation> equations, int dimension)
void	JacobiPreconditioner.prepare(java.util.List<Equation> equations, int dimension)
void	Preconditioner.prepare(java.util.List<Equation> equations, int dimension)	Prepare internal structures for a specific system.
void	SSORPreconditioner.prepare(java.util.List<Equation> equations, int dimension)
double	ConjugateGradientSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	GaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
abstract double	IterativeSolverTask.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	IterativeSolverTask.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution, Access1D<?> rhs)
double	JacobiSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
double	MINRESSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> x)
double	ParallelGaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution)
private double	ParallelGaussSeidelSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> solution, double normRHS, java.util.concurrent.atomic.AtomicInteger iterationsCounter, int first, int limit)
double	QMRSolver.resolve(java.util.List<Equation> equations, PhysicalStore<java.lang.Double> x)

Uses of Equation in org.ojalgo.optimisation

Methods in org.ojalgo.optimisation that return types with arguments of type Equation

Modifier and Type	Method	Description
default java.util.Collection<Equation>	UpdatableSolver.generateCutCandidates(double fractionality, boolean... integer)

Uses of Equation in org.ojalgo.optimisation.convex

Fields in org.ojalgo.optimisation.convex declared as Equation

Modifier and Type	Field	Description
private Equation[]	IterativeASS.SchurComplementSolver.myIterationRows

Uses of Equation in org.ojalgo.optimisation.linear

Methods in org.ojalgo.optimisation.linear that return Equation

Modifier and Type	Method	Description
(package private) static Equation	TableauCutGenerator.doGomory(Primitive1D body, int index, double rhs, double fractionality)	Calculates a Gomory cut – all variables must be integer.
(package private) static Equation	TableauCutGenerator.doGomoryMixedInteger(Primitive1D body, int index, double rhs, boolean[] integer)	Assumes all variables positive [0,∞).
(package private) static Equation	TableauCutGenerator.doGomoryMixedInteger(Primitive1D body, int index, double rhs, double fractionality, int[] excluded, boolean[] integer)
(package private) static Equation	TableauCutGenerator.doGomoryMixedInteger(Primitive1D body, int index, double rhs, double fractionality, int[] excluded, boolean[] integers, double[] lowers, double[] uppers, double[] shifts)	Calculates a Gomory Mixed Integer (GMI) cut.

Methods in org.ojalgo.optimisation.linear that return types with arguments of type Equation

Modifier and Type	Method	Description
java.util.Collection<Equation>	SimplexSolver.generateCutCandidates(double fractionality, boolean... integer)
(package private) java.util.Collection<Equation>	SimplexStore.generateCutCandidates(boolean[] integer, NumberContext accuracy, double fractionality, double[] shift)	When SimplexSolver is used as node solver for IntegerSolver this method generates cut candidates.
(package private) java.util.Collection<Equation>	SimplexTableau.generateCutCandidates(boolean[] integer, NumberContext accuracy, double fractionality)	Simplified version of SimplexStore.generateCutCandidates(boolean[], NumberContext, double, double[]) for specific use with SimplexTableauSolver.
java.util.Collection<Equation>	SimplexTableauSolver.generateCutCandidates(double fractionality, boolean... integer)