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			123 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			123 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| /* ----------------------------------------------------------------------
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|  * Project:      CMSIS DSP Library
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|  * Title:        arm_mat_cholesky_f64.c
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|  * Description:  Floating-point Cholesky decomposition
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|  *
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|  * $Date:        23 April 2021
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|  * $Revision:    V1.9.0
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|  *
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|  * Target Processor: Cortex-M and Cortex-A cores
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|  * -------------------------------------------------------------------- */
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| /*
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|  * Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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|  *
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|  * SPDX-License-Identifier: Apache-2.0
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|  *
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|  * Licensed under the Apache License, Version 2.0 (the License); you may
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|  * not use this file except in compliance with the License.
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|  * You may obtain a copy of the License at
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|  *
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|  * www.apache.org/licenses/LICENSE-2.0
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|  *
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|  * Unless required by applicable law or agreed to in writing, software
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|  * distributed under the License is distributed on an AS IS BASIS, WITHOUT
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|  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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|  * See the License for the specific language governing permissions and
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|  * limitations under the License.
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|  */
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| 
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| #include "dsp/matrix_functions.h"
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| 
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| /**
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|   @ingroup groupMatrix
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|  */
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| 
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| /**
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|   @addtogroup MatrixChol
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|   @{
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|  */
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| 
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| /**
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|    * @brief Floating-point Cholesky decomposition of positive-definite matrix.
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|    * @param[in]  pSrc   points to the instance of the input floating-point matrix structure.
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|    * @param[out] pDst   points to the instance of the output floating-point matrix structure.
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|    * @return The function returns ARM_MATH_SIZE_MISMATCH, if the dimensions do not match.
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|    * @return        execution status
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|                    - \ref ARM_MATH_SUCCESS       : Operation successful
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|                    - \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed
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|                    - \ref ARM_MATH_DECOMPOSITION_FAILURE      : Input matrix cannot be decomposed
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|    * @par
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|    * If the matrix is ill conditioned or only semi-definite, then it is better using the LDL^t decomposition.
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|    * The decomposition of A is returning a lower triangular matrix U such that A = U U^t
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|    */
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| 
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| 
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| arm_status arm_mat_cholesky_f64(
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|   const arm_matrix_instance_f64 * pSrc,
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|         arm_matrix_instance_f64 * pDst)
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| {
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| 
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|   arm_status status;                             /* status of matrix inverse */
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| 
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| 
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| #ifdef ARM_MATH_MATRIX_CHECK
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| 
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|   /* Check for matrix mismatch condition */
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|   if ((pSrc->numRows != pSrc->numCols) ||
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|       (pDst->numRows != pDst->numCols) ||
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|       (pSrc->numRows != pDst->numRows)   )
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|   {
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|     /* Set status as ARM_MATH_SIZE_MISMATCH */
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|     status = ARM_MATH_SIZE_MISMATCH;
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|   }
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|   else
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| 
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| #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
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| 
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|   {
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|     int i,j,k;
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|     int n = pSrc->numRows;
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|     float64_t invSqrtVj;
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|     float64_t *pA,*pG;
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| 
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|     pA = pSrc->pData;
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|     pG = pDst->pData;
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|     
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| 
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|     for(i=0 ; i < n ; i++)
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|     {
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|        for(j=i ; j < n ; j++)
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|        {
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|           pG[j * n + i] = pA[j * n + i];
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| 
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|           for(k=0; k < i ; k++)
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|           {
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|              pG[j * n + i] = pG[j * n + i] - pG[i * n + k] * pG[j * n + k];
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|           }
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|        }
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| 
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|        if (pG[i * n + i] <= 0.0)
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|        {
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|          return(ARM_MATH_DECOMPOSITION_FAILURE);
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|        }
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| 
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|        invSqrtVj = 1.0/sqrt(pG[i * n + i]);
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|        for(j=i ; j < n ; j++)
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|        {
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|          pG[j * n + i] = pG[j * n + i] * invSqrtVj ;
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|        }
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|     }
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| 
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|     status = ARM_MATH_SUCCESS;
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| 
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|   }
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| 
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|   
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|   /* Return to application */
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|   return (status);
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| }
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| 
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| /**
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|   @} end of MatrixChol group
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|  */
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