Added libalm.so and its dependency liblinprog.so. libalm.so provides a

BLayout implementation (BALMLayout) using the Auckland Layout Model
(ALM). The original ALM was implemented by Christof Lutteroth, the
Haiku/C++ version by James Kim.
The code needs some review, but the test programs seem to work fine.


git-svn-id: file:///srv/svn/repos/haiku/haiku/trunk@23889 a95241bf-73f2-0310-859d-f6bbb57e9c96
This commit is contained in:
Ingo Weinhold
2008-02-06 10:51:44 +00:00
parent 38d596cb81
commit a101e99aad
42 changed files with 5554 additions and 1 deletions
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#ifndef CONSTRAINT_H
#define CONSTRAINT_H
#include "OperatorType.h"
#include <List.h>
#include <String.h>
#include <SupportDefs.h>
namespace LinearProgramming {
class LinearSpec;
/**
* Hard linear constraint, i.e.&nbsp;one that must be satisfied.
* May render a specification infeasible.
*/
class Constraint {
public:
int32 Index();
BList* Coeffs();
BList* Vars();
virtual void ChangeLeftSide(BList* coeffs, BList* vars);
virtual OperatorType Op();
virtual void SetOp(OperatorType value);
double RightSide();
void SetRightSide(double value);
BString ToString();
virtual ~Constraint();
protected:
Constraint();
private:
Constraint(LinearSpec* ls, BList* coeffs, BList* vars,
OperatorType op, double rightSide);
protected:
LinearSpec* fLS;
BList* fCoeffs;
BList* fVars;
OperatorType fOp;
double fRightSide;
public:
friend class LinearSpec;
};
} // namespace LinearProgramming
using LinearProgramming::Constraint;
#endif // CONSTRAINT_H
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#ifndef LINEAR_SPEC_H
#define LINEAR_SPEC_H
#include "OperatorType.h"
#include "ResultType.h"
#include "OptimizationType.h"
#include "lp_lib.h"
#include <List.h>
#include <OS.h>
#include <SupportDefs.h>
namespace LinearProgramming {
class Constraint;
class ObjFunctionSummand;
class PenaltyFunction;
class SoftConstraint;
class Variable;
/**
* Specification of a linear programming problem.
*/
class LinearSpec {
public:
LinearSpec();
~LinearSpec();
void UpdateObjFunction();
void SetObjFunction(BList* coeffs, BList* vars);
ObjFunctionSummand* AddObjFunctionSummand(double coeff, Variable* var);
Variable* AddVariable();
Constraint* AddConstraint(BList* coeffs, BList* vars,
OperatorType op, double rightSide);
Constraint* AddConstraint(double coeff1, Variable* var1,
OperatorType op, double rightSide);
Constraint* AddConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
OperatorType op, double rightSide);
Constraint* AddConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
double coeff3, Variable* var3,
OperatorType op, double rightSide);
Constraint* AddConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
double coeff3, Variable* var3,
double coeff4, Variable* var4,
OperatorType op, double rightSide);
SoftConstraint* AddSoftConstraint(BList* coeffs, BList* vars,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
SoftConstraint* AddSoftConstraint(double coeff1, Variable* var1,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
SoftConstraint* AddSoftConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
SoftConstraint* AddSoftConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
double coeff3, Variable* var3,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
SoftConstraint* AddSoftConstraint(double coeff1, Variable* var1,
double coeff2, Variable* var2,
double coeff3, Variable* var3,
double coeff4, Variable* var4,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
PenaltyFunction* AddPenaltyFunction(Variable* var, BList* xs, BList* gs);
void RemovePresolved();
ResultType Presolve();
ResultType Solve();
void Save(char* fname);
int32 Columns() const;
void SetColumns(int32 value);
OptimizationType Optimization() const;
void SetOptimization(OptimizationType value);
lprec* LP() const;
void SetLP(lprec* value);
BList* ObjFunctionSummands() const;
void SetObjFunctionSummands(BList* value);
BList* Variables() const;
void SetVariables(BList* value);
BList* Constraints() const;
void SetConstraints(BList* value);
ResultType Result() const;
void SetResult(ResultType value);
double ObjectiveValue() const;
void SetObjectiveValue(double value);
double SolvingTime() const;
void SetSolvingTime(double value);
protected:
int32 fColumns;
private:
lprec* fLpPresolved;
OptimizationType fOptimization;
lprec* fLP;
BList* fObjFunctionSummands;
BList* fVariables;
BList* fConstraints;
ResultType fResult;
double fObjectiveValue;
double fSolvingTime; // = Double.Nan
public:
friend class ObjFunctionSummand;
friend class SoftConstraint;
};
} // namespace LinearProgramming
using LinearProgramming::LinearSpec;
#endif // LINEAR_SPEC_H
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#ifndef OBJ_FUNCTION_SUMMAND_H
#define OBJ_FUNCTION_SUMMAND_H
namespace LinearProgramming {
class LinearSpec;
class Variable;
/**
* A summand of the objective function.
*/
class ObjFunctionSummand {
public:
double Coeff();
void SetCoeff(double coeff);
Variable* Var();
void SetVar(Variable* var);
~ObjFunctionSummand();
protected:
ObjFunctionSummand(LinearSpec* ls, double coeff, Variable* var);
private:
LinearSpec* fLS;
double fCoeff;
Variable* fVar;
public:
friend class LinearSpec;
};
} // namespace LinearProgramming
using LinearProgramming::ObjFunctionSummand;
#endif // OBJ_FUNCTION_SUMMAND_H
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#ifndef OPERATOR_TYPE_H
#define OPERATOR_TYPE_H
namespace LinearProgramming {
/**
* Possible operators for linear constraints.
*/
enum OperatorType {
EQ, LE, GE
};
} // namespace LinearProgramming
using LinearProgramming::OperatorType;
#endif
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#ifndef OPTIMIZATION_TYPE_H
#define OPTIMIZATION_TYPE_H
namespace LinearProgramming {
/**
* The two possibilities for optimizing the objective function.
*/
enum OptimizationType {
MINIMIZE, MAXIMIZE
};
} // namespace LinearProgramming
using LinearProgramming::OptimizationType;
#endif
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#ifndef PENALTY_FUNCTION_H
#define PENALTY_FUNCTION_H
#include <List.h>
namespace LinearProgramming {
class LinearSpec;
class Variable;
/**
* Penalty function.
*/
class PenaltyFunction {
protected:
PenaltyFunction(LinearSpec* ls, Variable* var, BList* xs, BList* gs);
public:
~PenaltyFunction();
const Variable* Var() const;
const BList* Xs() const;
const BList* Gs() const;
private:
LinearSpec* fLS;
Variable* fVar;
BList* fXs; // double
BList* fGs; // double
BList* fConstraints;
BList* fObjFunctionSummands;
public:
friend class LinearSpec;
};
} // namespace LinearProgramming
using LinearProgramming::PenaltyFunction;
#endif // PENALTY_FUNCTION_H
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#ifndef RESULT_TYPE_H
#define RESULT_TYPE_H
namespace LinearProgramming {
/**
* The possible results of a solving attempt.
*/
enum ResultType {
NOMEMORY = -2, ERROR = -1, OPTIMAL = 0, SUBOPTIMAL = 1, INFEASIBLE = 2, UNBOUNDED = 3,
DEGENERATE = 4, NUMFAILURE = 5, USERABORT = 6, TIMEOUT = 7, PRESOLVED = 9, PROCFAIL = 10,
PROCBREAK = 11, FEASFOUND = 12, NOFEASFOUND = 13
};
} // namespace LinearProgramming
using LinearProgramming::ResultType;
#endif
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#ifndef SOFT_CONSTRAINT_H
#define SOFT_CONSTRAINT_H
#include "Constraint.h"
#include <List.h>
namespace LinearProgramming {
class LinearSpec;
class ObjFunctionSummand;
class Variable;
/**
* Soft constraint, i.e.&nbsp;one that does not necessarily have to be satisfied.
* Use this instead of hard constraints to avoid over-constrained specifications.
*/
class SoftConstraint : public Constraint {
public:
void ChangeLeftSide(BList* coeffs, BList* vars);
OperatorType Op();
void SetOp(OperatorType value);
double PenaltyNeg();
void SetPenaltyNeg(double value);
double PenaltyPos();
void SetPenaltyPos(double value);
//~ string ToString();
Variable* DNeg() const;
Variable* DPos() const;
~SoftConstraint();
protected:
SoftConstraint(LinearSpec* ls, BList* coeffs, BList* vars,
OperatorType op, double rightSide,
double penaltyNeg, double penaltyPos);
private:
Variable* fDNeg;
Variable* fDPos;
ObjFunctionSummand* fDNegSummand;
ObjFunctionSummand* fDPosSummand;
public:
friend class LinearSpec;
};
} // namespace LinearProgramming
using LinearProgramming::SoftConstraint;
#endif // SOFT_CONSTRAINT_H
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#ifndef VARIABLE_H
#define VARIABLE_H
#include <SupportDefs.h>
namespace LinearProgramming {
class Constraint;
class LinearSpec;
/**
* Contains minimum and maximum values.
*/
class Variable {
public:
int32 Index();
LinearSpec* LS() const;
void SetLS(LinearSpec* value);
double Value() const;
void SetValue(double value);
double Min() const;
void SetMin(double min);
double Max() const;
void SetMax(double max);
void SetRange(double min, double max);
//~ string ToString();
Constraint* IsEqual(Variable* var);
Constraint* IsSmallerOrEqual(Variable* var);
Constraint* IsGreaterorEqual(Variable* var);
protected:
Variable(LinearSpec* ls);
~Variable();
private:
LinearSpec* fLS;
double fValue;
double fMin;
double fMax;
public:
friend class LinearSpec;
friend class SoftConstraint;
};
} // namespace LinearProgramming
using LinearProgramming::Variable;
#endif // VARIABLE_H