/* * TinyEKF: Extended Kalman Filter for embedded processors * * Copyright (C) 2015 Simon D. Levy * * MIT License */ #ifndef CHOLESKYDECOMPOSITION_H_ #define CHOLESKYDECOMPOSITION_H_ #include //typedef unsigned int uint8_t; template class CholeskyDecomposition { public: static int invertCholesky(T1 *matrix, T2 *result, T3 *tempMatrix, const uint8_t dimension) { // https://github.com/simondlevy/TinyEKF/blob/master/tiny_ekf.c return cholsl(matrix, result, tempMatrix, dimension); } private: // https://github.com/simondlevy/TinyEKF/blob/master/tiny_ekf.c static uint8_t choldc1(double * a, double * p, uint8_t n) { int8_t i,j,k; double sum; for (i = 0; i < n; i++) { for (j = i; j < n; j++) { sum = a[i*n+j]; for (k = i - 1; k >= 0; k--) { sum -= a[i*n+k] * a[j*n+k]; } if (i == j) { if (sum <= 0) { return 1; /* error */ } p[i] = sqrt(sum); } else { a[j*n+i] = sum / p[i]; } } } return 0; /* success */ } // https://github.com/simondlevy/TinyEKF/blob/master/tiny_ekf.c static uint8_t choldcsl(double * A, double * a, double * p, uint8_t n) { uint8_t i,j,k; double sum; for (i = 0; i < n; i++) for (j = 0; j < n; j++) a[i*n+j] = A[i*n+j]; if (choldc1(a, p, n)) return 1; for (i = 0; i < n; i++) { a[i*n+i] = 1 / p[i]; for (j = i + 1; j < n; j++) { sum = 0; for (k = i; k < j; k++) { sum -= a[j*n+k] * a[k*n+i]; } a[j*n+i] = sum / p[j]; } } return 0; /* success */ } // https://github.com/simondlevy/TinyEKF/blob/master/tiny_ekf.c static uint8_t cholsl(double * A,double * a,double * p, uint8_t n) { uint8_t i,j,k; if (choldcsl(A,a,p,n)) return 1; for (i = 0; i < n; i++) { for (j = i + 1; j < n; j++) { a[i*n+j] = 0.0; } } for (i = 0; i < n; i++) { a[i*n+i] *= a[i*n+i]; for (k = i + 1; k < n; k++) { a[i*n+i] += a[k*n+i] * a[k*n+i]; } for (j = i + 1; j < n; j++) { for (k = j; k < n; k++) { a[i*n+j] += a[k*n+i] * a[k*n+j]; } } } for (i = 0; i < n; i++) { for (j = 0; j < i; j++) { a[i*n+j] = a[j*n+i]; } } return 0; /* success */ } }; #endif /* CONTRIB_MATH_CHOLESKYDECOMPOSITION_H_ */