Simplex.h File Reference

#include "mlir/Analysis/Presburger/Fraction.h"
#include "mlir/Analysis/Presburger/IntegerRelation.h"
#include "mlir/Analysis/Presburger/Matrix.h"
#include "mlir/Analysis/Presburger/PWMAFunction.h"
#include "mlir/Analysis/Presburger/Utils.h"
#include "llvm/ADT/SmallBitVector.h"
#include <optional>

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Classes
class	mlir::presburger::SimplexBase
	The Simplex class implements a version of the Simplex and Generalized Basis Reduction algorithms, which can perform analysis of integer sets with affine inequalities and equalities. More...
struct	mlir::presburger::SimplexBase::Unknown
	An Unknown is either a variable or a constraint. More...
struct	mlir::presburger::SimplexBase::Pivot
class	mlir::presburger::LexSimplexBase
	Simplex class using the lexicographic pivot rule. More...
class	mlir::presburger::LexSimplex
	A class for lexicographic optimization without any symbols. More...
struct	mlir::presburger::SymbolicLexOpt
	Represents the result of a symbolic lexicographic optimization computation. More...
class	mlir::presburger::SymbolicLexSimplex
	A class to perform symbolic lexicographic optimization, i.e., to find, for every assignment to the symbols the specified symbolDomain, the lexicographically minimum value integer value attained by the non-symbol variables. More...
class	mlir::presburger::Simplex
	The Simplex class uses the Normal pivot rule and supports integer emptiness checks as well as detecting redundancies. More...
class	mlir::presburger::SimplexRollbackScopeExit
	Takes a snapshot of the simplex state on construction and rolls back to the snapshot on destruction. More...

Namespaces
	mlir
	Include the generated interface declarations.
	mlir::presburger