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c++ - 使用::访问类函数

转载 作者:行者123 更新时间:2023-11-28 00:42:46 25 4
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我创建了一个名为 CSparse 的类。其头文件如下。

#ifndef _CSPARSE_H
#define _CSPARSE_H

#include <stdlib.h>
#include <limits.h>
#include <math.h>
#include <stdio.h>
#include <stddef.h>
#ifdef MATLAB_MEX_FILE
#include "mex.h"
#endif
#define CS_VER 3 /* CSparse Version */
#define CS_SUBVER 1
#define CS_SUBSUB 2
#define CS_DATE "April 16, 2013" /* CSparse release date */
#define CS_COPYRIGHT "Copyright (c) Timothy A. Davis, 2006-2013"

#ifdef MATLAB_MEX_FILE
#undef csi
#define csi mwSignedIndex
#endif
#ifndef csi
#define csi ptrdiff_t
#endif

class CSparse
{
public:
CSparse(void);
virtual ~CSparse(void);

/* --- primary CSparse routines and data structures ------------------------- */
typedef struct csparse /* matrix in compressed-column or triplet form */
{
csi nzmax ; /* maximum number of entries */
csi m ; /* number of rows */
csi n ; /* number of columns */
csi *p ; /* column pointers (size n+1) or col indices (size nzmax) */
csi *i ; /* row indices, size nzmax */
double *x ; /* numerical values, size nzmax */
csi nz ; /* # of entries in triplet matrix, -1 for compressed-col */
} cs;

typedef struct cs_symbolic /* symbolic Cholesky, LU, or QR analysis */
{
csi *pinv ; /* inverse row perm. for QR, fill red. perm for Chol */
csi *q ; /* fill-reducing column permutation for LU and QR */
csi *parent ; /* elimination tree for Cholesky and QR */
csi *cp ; /* column pointers for Cholesky, row counts for QR */
csi *leftmost ; /* leftmost[i] = min(find(A(i,:))), for QR */
csi m2 ; /* # of rows for QR, after adding fictitious rows */
double lnz ; /* # entries in L for LU or Cholesky; in V for QR */
double unz ; /* # entries in U for LU; in R for QR */
} css;

typedef struct cs_numeric /* numeric Cholesky, LU, or QR factorization */
{
cs *L ; /* L for LU and Cholesky, V for QR */
cs *U ; /* U for LU, R for QR, not used for Cholesky */
csi *pinv ; /* partial pivoting for LU */
double *B ; /* beta [0..n-1] for QR */
} csn;

typedef struct cs_dmperm_results /* cs_dmperm or cs_scc output */
{
csi *p ; /* size m, row permutation */
csi *q ; /* size n, column permutation */
csi *r ; /* size nb+1, block k is rows r[k] to r[k+1]-1 in A(p,q) */
csi *s ; /* size nb+1, block k is cols s[k] to s[k+1]-1 in A(p,q) */
csi nb ; /* # of blocks in fine dmperm decomposition */
csi rr [5] ; /* coarse row decomposition */
csi cc [5] ; /* coarse column decomposition */
} csd;

cs *cs_add (const cs *A, const cs *B, double alpha, double beta) ;
csi cs_cholsol (csi order, const cs *A, double *b) ;
cs *cs_compress (const cs *T) ;
csi cs_dupl (cs *A) ;
csi cs_entry (cs *T, csi i, csi j, double x) ;
csi cs_gaxpy (const cs *A, const double *x, double *y) ;
cs *cs_load (FILE *f) ;
csi cs_lusol (csi order, const cs *A, double *b, double tol) ;
cs *cs_multiply (const cs *A, const cs *B) ;
double cs_norm (const cs *A) ;
csi cs_print (const cs *A, csi brief) ;
csi cs_qrsol (csi order, const cs *A, double *b) ;
cs *cs_transpose (const cs *A, csi values) ;

/* utilities */
void *cs_calloc (csi n, size_t size) ;
void *cs_free (void *p) ;
void *cs_realloc (void *p, csi n, size_t size, csi *ok) ;
cs *cs_spalloc (csi m, csi n, csi nzmax, csi values, csi triplet) ;
cs *cs_spfree (cs *A) ;
csi cs_sprealloc (cs *A, csi nzmax) ;
void *cs_malloc (csi n, size_t size) ;

/* --- secondary CSparse routines and data structures ----------------------- */
csi *cs_amd (csi order, const cs *A) ;
csn *cs_chol (const cs *A, const css *S) ;
csd *cs_dmperm (const cs *A, csi seed) ;
csi cs_droptol (cs *A, double tol) ;
csi cs_dropzeros (cs *A) ;
csi cs_happly (const cs *V, csi i, double beta, double *x) ;
csi cs_ipvec (const csi *p, const double *b, double *x, csi n) ;
csi cs_lsolve (const cs *L, double *x) ;
csi cs_ltsolve (const cs *L, double *x) ;
csn *cs_lu (const cs *A, const css *S, double tol) ;
cs *cs_permute (const cs *A, const csi *pinv, const csi *q, csi values) ;
csi *cs_pinv (const csi *p, csi n) ;
csi cs_pvec (const csi *p, const double *b, double *x, csi n) ;
csn *cs_qr (const cs *A, const css *S) ;
css *cs_schol (csi order, const cs *A) ;
css *cs_sqr (csi order, const cs *A, csi qr) ;
cs *cs_symperm (const cs *A, const csi *pinv, csi values) ;
csi cs_updown (cs *L, csi sigma, const cs *C, const csi *parent) ;
csi cs_usolve (const cs *U, double *x) ;
csi cs_utsolve (const cs *U, double *x) ;
/* utilities */
css *cs_sfree (css *S) ;
csn *cs_nfree (csn *N) ;
csd *cs_dfree (csd *D) ;

/* --- tertiary CSparse routines -------------------------------------------- */
csi *cs_counts (const cs *A, const csi *parent, const csi *post, csi ata) ;
double cs_cumsum (csi *p, csi *c, csi n) ;
csi cs_dfs (csi j, cs *G, csi top, csi *xi, csi *pstack, const csi *pinv) ;
csi cs_ereach (const cs *A, csi k, const csi *parent, csi *s, csi *w) ;
csi *cs_etree (const cs *A, csi ata) ;
csi cs_fkeep (cs *A, csi (*fkeep) (csi, csi, double, void *), void *other) ;
double cs_house (double *x, double *beta, csi n) ;
csi cs_leaf (csi i, csi j, const csi *first, csi *maxfirst, csi *prevleaf,
csi *ancestor, csi *jleaf) ;
csi *cs_maxtrans (const cs *A, csi seed) ;
csi *cs_post (const csi *parent, csi n) ;
csi *cs_randperm (csi n, csi seed) ;
csi cs_reach (cs *G, const cs *B, csi k, csi *xi, const csi *pinv) ;
csi cs_scatter (const cs *A, csi j, double beta, csi *w, double *x, csi mark,
cs *C, csi nz) ;
csd *cs_scc (cs *A) ;
csi cs_spsolve (cs *G, const cs *B, csi k, csi *xi, double *x,
const csi *pinv, csi lo) ;
csi cs_tdfs (csi j, csi k, csi *head, const csi *next, csi *post,
csi *stack) ;
/* utilities */
csd *cs_dalloc (csi m, csi n) ;
csd *cs_ddone (csd *D, cs *C, void *w, csi ok) ;
cs *cs_done (cs *C, void *w, void *x, csi ok) ;
csi *cs_idone (csi *p, cs *C, void *w, csi ok) ;
csn *cs_ndone (csn *N, cs *C, void *w, void *x, csi ok) ;

#define CS_MAX(a,b) (((a) > (b)) ? (a) : (b))
#define CS_MIN(a,b) (((a) < (b)) ? (a) : (b))
#define CS_FLIP(i) (-(i)-2)
#define CS_UNFLIP(i) (((i) < 0) ? CS_FLIP(i) : (i))
#define CS_MARKED(w,j) (w [j] < 0)
#define CS_MARK(w,j) { w [j] = CS_FLIP (w [j]) ; }
#define CS_CSC(A) (A && (A->nz == -1))
#define CS_TRIPLET(A) (A && (A->nz >= 0))
};
#endif

CSparse.cpp部分内容如下。

#include "CSparse.h"

CSparse::CSparse(void)
{
}

CSparse::~CSparse(void)
{
}

/* remove duplicate entries from A */
csi CSparse::cs_dupl (cs *A)
{
csi i, j, p, q, nz = 0, n, m, *Ap, *Ai, *w ;
double *Ax ;
if (!CS_CSC (A)) return (0) ; /* check inputs */
m = A->m ; n = A->n ; Ap = A->p ; Ai = A->i ; Ax = A->x ;
w = (csi* ) cs_malloc (m, sizeof (csi)) ; /* get workspace */
if (!w) return (0) ; /* out of memory */
for (i = 0 ; i < m ; i++) w [i] = -1 ; /* row i not yet seen */
for (j = 0 ; j < n ; j++)
{
q = nz ; /* column j will start at q */
for (p = Ap [j] ; p < Ap [j+1] ; p++)
{
i = Ai [p] ; /* A(i,j) is nonzero */
if (w [i] >= q)
{
Ax [w [i]] += Ax [p] ; /* A(i,j) is a duplicate */
}
else
{
w [i] = nz ; /* record where row i occurs */
Ai [nz] = i ; /* keep A(i,j) */
Ax [nz++] = Ax [p] ;
}
}
Ap [j] = q ; /* record start of column j */
}
Ap [n] = nz ; /* finalize A */
cs_free (w) ; /* free workspace */
return (cs_sprealloc (A, 0)) ; /* remove extra space from A */
}

/* C = A' */
CSparse::cs *CSparse::cs_transpose (const cs *A, csi values)
{
csi p, q, j, *Cp, *Ci, n, m, *Ap, *Ai, *w ;
double *Cx, *Ax ;
cs *C ;
if (!CS_CSC (A)) return (NULL) ; /* check inputs */
m = A->m ; n = A->n ; Ap = A->p ; Ai = A->i ; Ax = A->x ;
C = cs_spalloc (n, m, Ap [n], values && Ax, 0) ; /* allocate result */
w = (csi *) cs_calloc (m, sizeof (csi)) ; /* get workspace */
if (!C || !w) return (cs_done (C, w, NULL, 0)) ; /* out of memory */
Cp = C->p ; Ci = C->i ; Cx = C->x ;
for (p = 0 ; p < Ap [n] ; p++) w [Ai [p]]++ ; /* row counts */
cs_cumsum (Cp, w, m) ; /* row pointers */
for (j = 0 ; j < n ; j++)
{
for (p = Ap [j] ; p < Ap [j+1] ; p++)
{
Ci [q = w [Ai [p]]++] = j ; /* place A(i,j) as entry C(j,i) */
if (Cx) Cx [q] = Ax [p] ;
}
}
return (cs_done (C, w, NULL, 1)) ; /* success; free w and return C */
}

我可以使用 :: 访问类数据类型。我如何使用 :: 来使用类的函数,而不是创建类的实例并使用 . 访问函数?哪个更适合调用函数:::.

最佳答案

C++ 类中的静态函数使用::访问,而访问来自对象实例的函数使用 .

因此,如果您声明:-

class SomeClass
{
public:
void Function1();
static void Function2();
};

然后您可以调用以下内容:-

SomeClass::Function2(); // called without an instantiated object

或者实例化一个对象:-

SomeClass classObj; // create an object
classObj.Function1(); // call the function from an instance of the object

请注意,如果您使用静态方法,则类的成员变量需要是静态的,以便您可以从函数内部访问它们。

既不是::也不是 .可以归类为“更好”。这完全取决于您的程序设计和您将使用的类(class)。

关于c++ - 使用::访问类函数,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/17921121/

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