C++ 用LAPACK计算无限带状矩阵的特征值

C++ 用LAPACK计算无限带状矩阵的特征值,c++,lapack,eigenvalue,C++,Lapack,Eigenvalue,你知道我哪里会出错吗 #include <iostream> #include <algorithm> #include <string> #include <math.h> using namespace std; //SUBROUTINE DSBTRD( VECT, UPLO, N, KD, AB, LDAB, D, E, Q, LDQ, WORK, INFO ) extern "C" { void dsbtrd_(const char

你知道我哪里会出错吗

#include <iostream>
#include <algorithm>
#include <string>
#include <math.h>
using namespace std;

//SUBROUTINE DSBTRD( VECT, UPLO, N, KD, AB, LDAB, D, E, Q, LDQ, WORK, INFO )

extern "C" {
  void dsbtrd_(const char *vect, const char *uplo, int *n, int *kd, double *ab, int *ldab, double d[], double e[], double *q, int *ldq, double work[], int *info);
}

#define MAX 14

int main(){
    // Values needed for dsbtrd
    const char *vect = "V";
    const char *uplo = "U";
    int n;
    int ldab = MAX;
    int ldq = MAX;
    int info;
    double ab[MAX][ldab];
    double d[MAX];
    double e[MAX];
    double q[MAX][ldq];
    double work[MAX];

    //other values needed
    int i,j,delta;
    double eps;
    double a[MAX][MAX];
    double g[MAX][MAX];

    //Read in value of eps and n
    cout <<"Enter epsilon: \n";
    cin >> eps;
    cout << "Epsilon = " << eps << "\n";

    cout <<"Enter n: \n";
    cin >> n;
    cout << "n = " << n << "\n";

    if(n >= MAX){
         cerr << "n is great than max \n";
     }

     //Build matrix g
     for(j = 0; j < n; j++){
         for(i = 0; i < n; i++){
             int m = min(i,j);

             if(i == j){
                 g[i][j] = 1.5*(pow(m,2) + m +.5);
             }else if( i == j + 2 || i == j - 2){
                 g[i][j] = (m + 1.5)*sqrt((m+1)*(m+2));
             }else if(i == j + 4 || i == j -4){
                 g[i][j] = .25*sqrt((m+1)*(m+2)*(m+3)*(m+4));
             }else{
                 g[i][j] = 0;
             }
         }
    }

    //Build the starting matrix a
    //row i, column j

    for(j = 0; j < n; j++){
        for(i = 0; i < n; i++){
            if(i == j){
                delta = 1;
            }else{
                delta = 0;
            }

            a[i][j] = (i + .5)*delta + eps*g[i][j];
        }
    }

    //Build the matrix ab
    // ab(kd+1+i-j,j) = a(i,j) for max(1,j-kd)<=i<=j
    int kd = n - 1;

    for(j = 1; j <= n; j++){
        for(i = max(1,j-kd); i <= j; i++){
            ab[j-1][kd+i-j] = a[j-1][i-1];
        }
    }

    //Solve for eigenvalues
    dsbtrd_(vect, uplo, &n, &kd, &ab[0][0], &ldab, d, e, &q[0][0], &ldq, work, &info);

    //Check for success
    if(info == 0)
    {
        //Write answer
        for(i = 0; i < n; i++){
            cout << "Eigenvalue " << i << ": " << d[i] << "\n";
        }
    }
    else
    {
        //Write error
        cerr << "dsbtrd returned error " << info << "\n";
    }
    return info;
}
#包括
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使用名称空间std;
//子例程DSBTRD(VECT、UPLO、N、KD、AB、LDAB、D、E、Q、LDQ、WORK、INFO)
外部“C”{
无效dsbtrd_389;(常量字符*向量,常量字符*上传,int*n,int*kd,double*ab,int*ldab,double d[],double e[],double*q,int*ldq,double work[],int*info);
}
#定义最大值14
int main(){
//dsbtrd所需的值
常量字符*vect=“V”;
常量字符*uplo=“U”;
int n;
int ldab=最大值;
int ldq=最大值;
国际信息;
双ab[MAX][ldab];
双d[MAX];
双e[MAX];
双q[MAX][ldq];
双功[最大值];
//所需的其他值
inti,j,delta;
双每股收益;
双a[MAX][MAX];
双g[MAX][MAX];
//读取eps和n的值
cout-eps;

coutDSBTRD不计算特征值。它将矩阵简化为三对角形式;您将结果三对角矩阵的主对角线拉出,并假装这些是特征值,但它们不是

您需要在生成的三对角形式上调用DSTERF(或其他一些例程之一)以获得特征值


有关更多详细信息,请参阅。

我认为您的矩阵内存布局与LAPACK使用的不匹配。如果内存可用,您需要一个一维数组。您正在使用的函数的文档会告诉您如何索引到该数组中。我最后使用了
DSYEV
,这对我所做的工作起到了作用。感谢您的回答!