source: Sophya/trunk/SophyaLib/TArray/utilarr.h@ 1445

Last change on this file since 1445 was 1404, checked in by ansari, 25 years ago

correction documentation - Reza 15/2/2001

File size: 3.8 KB
RevLine 
[785]1// This may look like C code, but it is really -*- C++ -*-
2// Utility classes for template numerical arrays
3// R. Ansari, C.Magneville 03/2000
4
5#ifndef UtilArray_SEEN
6#define UtilArray_SEEN
7
8#include "machdefs.h"
[1103]9#include "mutyv.h"
10
[785]11#include <stdlib.h>
[1103]12#include <vector>
[785]13
14namespace SOPHYA {
15
16/* Quelques utilitaires pour les tableaux (Array) */
17
[956]18/*! \ingroup TArray
19 \typedef Arr_DoubleFunctionOfX
20 \brief define a function of float which returns a double
21*/
[785]22typedef double (* Arr_DoubleFunctionOfX) (double x);
[956]23/*! \ingroup TArray
24 \typedef Arr_FloatFunctionOfX
25 \brief define a function of float which returns a double
26*/
[785]27typedef float (* Arr_FloatFunctionOfX) (float x);
28
[894]29//////////////////////////////////////////////////////////
[1404]30//! Class to generate a sequence of values
[1103]31class Sequence {
[850]32public:
[1103]33 virtual ~Sequence();
[1156]34 virtual MuTyV & Value(sa_size_t k) const = 0;
35 inline MuTyV & operator () (sa_size_t k) const { return(Value(k)) ; }
[1103]36};
37
38class RandomSequence : public Sequence {
39public:
[894]40 //! to define the generator type
41 enum {
42 Gaussian = 0, //!< gaussian generator
43 Flat = 1 //!< Flat generator
44 };
45
[1103]46 explicit RandomSequence(int typ = RandomSequence::Gaussian, double m=0., double s=1.);
47 virtual ~RandomSequence();
[1156]48 virtual MuTyV & Value(sa_size_t k) const ;
[1103]49 double Rand();
50
[850]51protected:
[894]52 int typ_; //!< random generation type
53 double mean_, sig_; //!< generation parameters mean and sigma (if needed)
[1103]54 mutable MuTyV retv_;
[850]55};
56
57
[894]58//////////////////////////////////////////////////////////
59//! Class to generate a sequence of values
[1103]60class RegularSequence : public Sequence {
[785]61public:
[1103]62 explicit RegularSequence (double start=0., double step=1., Arr_DoubleFunctionOfX f=NULL);
63 virtual ~RegularSequence();
[894]64
65 //! return start value of the sequence
[785]66 inline double & Start() { return start_; }
[894]67 //! return step value of the sequence
[785]68 inline double & Step() { return step_; }
[1103]69
[1156]70 virtual MuTyV & Value(sa_size_t k) const ;
[1103]71
[785]72protected:
[894]73 double start_; //!< start value of the sequence
74 double step_; //!< step value of the sequence
75 Arr_DoubleFunctionOfX myf_; //!< pointer to the sequence function
[1103]76 mutable MuTyV retv_;
[785]77};
78
[1103]79class EnumeratedSequence : public Sequence {
80public:
[1404]81 explicit EnumeratedSequence();
[1103]82 virtual ~EnumeratedSequence();
[1156]83 virtual MuTyV & Value(sa_size_t k) const ;
[1103]84 EnumeratedSequence & operator , (MuTyV const & v);
[1156]85 EnumeratedSequence & operator = (MuTyV const & v);
[1103]86private:
87 vector<MuTyV> vecv_;
88 mutable MuTyV retv_;
89};
90
[1156]91 //inline EnumeratedSequence operator , (MuTyV const & a, MuTyV const & b)
92 //{ EnumeratedSequence seq; return ((seq,a),b) ; }
[1103]93
[894]94//////////////////////////////////////////////////////////
95//! Class to define a range of indexes
[785]96class Range {
97public:
[1156]98 explicit Range(sa_size_t start=0, sa_size_t end=0, sa_size_t size=1, sa_size_t step=1);
[894]99 //! Return the start index
[1156]100 inline sa_size_t & Start() { return start_; }
[894]101 //! Return the last index
[1156]102 inline sa_size_t & End() { return end_; }
[894]103 //! Return the size
[1156]104 inline sa_size_t & Size() { return size_; }
[894]105 //! Return the step
[1156]106 inline sa_size_t & Step() { return step_; }
[785]107protected:
[1156]108 sa_size_t start_; //!< start index
109 sa_size_t end_; //!< end index
110 sa_size_t size_; //!< size
111 sa_size_t step_; //!< step
[785]112};
113
[894]114//////////////////////////////////////////////////////////
115//! Class to define an identity matrix
[804]116class IdentityMatrix {
117public:
[1156]118 explicit IdentityMatrix(double diag=1., sa_size_t n=0);
[894]119 //! return the size of the identity matrix
[1156]120 inline sa_size_t Size() { return size_; }
[894]121 //! return the value of the diagonal elements
[804]122 inline double Diag() { return diag_; }
123protected:
[1156]124 sa_size_t size_; //!< size of the matrix
[894]125 double diag_; //!< value of the diagonal elements
[804]126};
127
[785]128} // Fin du namespace
129
130#endif
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