| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333 |
- /* ----------------------------------------------------------------------
- * Project: CMSIS DSP Library
- * Title: arm_mat_solve_lower_triangular_f32.c
- * Description: Solve linear system LT X = A with LT lower triangular matrix
- *
- * $Date: 23 April 2021
- * $Revision: V1.9.0
- *
- * Target Processor: Cortex-M and Cortex-A cores
- * -------------------------------------------------------------------- */
- /*
- * Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
- *
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the License); you may
- * not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
- #include "dsp/matrix_functions.h"
- /**
- @ingroup groupMatrix
- */
- /**
- @addtogroup MatrixInv
- @{
- */
- /**
- * @brief Solve LT . X = A where LT is a lower triangular matrix
- * @param[in] lt The lower triangular matrix
- * @param[in] a The matrix a
- * @param[out] dst The solution X of LT . X = A
- * @return The function returns ARM_MATH_SINGULAR, if the system can't be solved.
- */
- #if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
- #include "arm_helium_utils.h"
- arm_status arm_mat_solve_lower_triangular_f32(
- const arm_matrix_instance_f32 * lt,
- const arm_matrix_instance_f32 * a,
- arm_matrix_instance_f32 * dst)
- {
- arm_status status; /* status of matrix inverse */
- #ifdef ARM_MATH_MATRIX_CHECK
- /* Check for matrix mismatch condition */
- if ((lt->numRows != lt->numCols) ||
- (lt->numRows != a->numRows) )
- {
- /* Set status as ARM_MATH_SIZE_MISMATCH */
- status = ARM_MATH_SIZE_MISMATCH;
- }
- else
- #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
- {
- /* a1 b1 c1 x1 = a1
- b2 c2 x2 a2
- c3 x3 a3
- x3 = a3 / c3
- x2 = (a2 - c2 x3) / b2
- */
- int i,j,k,n,cols;
- n = dst->numRows;
- cols = dst->numCols;
- float32_t *pX = dst->pData;
- float32_t *pLT = lt->pData;
- float32_t *pA = a->pData;
- float32_t *lt_row;
- float32_t *a_col;
- float32_t invLT;
- f32x4_t vecA;
- f32x4_t vecX;
- for(i=0; i < n ; i++)
- {
- for(j=0; j+3 < cols; j += 4)
- {
- vecA = vld1q_f32(&pA[i * cols + j]);
- for(k=0; k < i; k++)
- {
- vecX = vld1q_f32(&pX[cols*k+j]);
- vecA = vfmsq(vecA,vdupq_n_f32(pLT[n*i + k]),vecX);
- }
- if (pLT[n*i + i]==0.0f)
- {
- return(ARM_MATH_SINGULAR);
- }
- invLT = 1.0f / pLT[n*i + i];
- vecA = vmulq(vecA,vdupq_n_f32(invLT));
- vst1q(&pX[i*cols+j],vecA);
- }
- for(; j < cols; j ++)
- {
- a_col = &pA[j];
- lt_row = &pLT[n*i];
- float32_t tmp=a_col[i * cols];
-
- for(k=0; k < i; k++)
- {
- tmp -= lt_row[k] * pX[cols*k+j];
- }
- if (lt_row[i]==0.0f)
- {
- return(ARM_MATH_SINGULAR);
- }
- tmp = tmp / lt_row[i];
- pX[i*cols+j] = tmp;
- }
- }
- status = ARM_MATH_SUCCESS;
- }
- /* Return to application */
- return (status);
- }
- #else
- #if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
- arm_status arm_mat_solve_lower_triangular_f32(
- const arm_matrix_instance_f32 * lt,
- const arm_matrix_instance_f32 * a,
- arm_matrix_instance_f32 * dst)
- {
- arm_status status; /* status of matrix inverse */
- #ifdef ARM_MATH_MATRIX_CHECK
- /* Check for matrix mismatch condition */
- if ((lt->numRows != lt->numCols) ||
- (lt->numRows != a->numRows) )
- {
- /* Set status as ARM_MATH_SIZE_MISMATCH */
- status = ARM_MATH_SIZE_MISMATCH;
- }
- else
- #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
- {
- /* a1 b1 c1 x1 = a1
- b2 c2 x2 a2
- c3 x3 a3
- x3 = a3 / c3
- x2 = (a2 - c2 x3) / b2
- */
- int i,j,k,n,cols;
- n = dst->numRows;
- cols = dst->numCols;
- float32_t *pX = dst->pData;
- float32_t *pLT = lt->pData;
- float32_t *pA = a->pData;
- float32_t *lt_row;
- float32_t *a_col;
- float32_t invLT;
- f32x4_t vecA;
- f32x4_t vecX;
- for(i=0; i < n ; i++)
- {
- for(j=0; j+3 < cols; j += 4)
- {
- vecA = vld1q_f32(&pA[i * cols + j]);
- for(k=0; k < i; k++)
- {
- vecX = vld1q_f32(&pX[cols*k+j]);
- vecA = vfmsq_f32(vecA,vdupq_n_f32(pLT[n*i + k]),vecX);
- }
- if (pLT[n*i + i]==0.0f)
- {
- return(ARM_MATH_SINGULAR);
- }
- invLT = 1.0f / pLT[n*i + i];
- vecA = vmulq_f32(vecA,vdupq_n_f32(invLT));
- vst1q_f32(&pX[i*cols+j],vecA);
- }
- for(; j < cols; j ++)
- {
- a_col = &pA[j];
- lt_row = &pLT[n*i];
- float32_t tmp=a_col[i * cols];
-
- for(k=0; k < i; k++)
- {
- tmp -= lt_row[k] * pX[cols*k+j];
- }
- if (lt_row[i]==0.0f)
- {
- return(ARM_MATH_SINGULAR);
- }
- tmp = tmp / lt_row[i];
- pX[i*cols+j] = tmp;
- }
- }
- status = ARM_MATH_SUCCESS;
- }
- /* Return to application */
- return (status);
- }
- #else
- arm_status arm_mat_solve_lower_triangular_f32(
- const arm_matrix_instance_f32 * lt,
- const arm_matrix_instance_f32 * a,
- arm_matrix_instance_f32 * dst)
- {
- arm_status status; /* status of matrix inverse */
- #ifdef ARM_MATH_MATRIX_CHECK
- /* Check for matrix mismatch condition */
- if ((lt->numRows != lt->numCols) ||
- (lt->numRows != a->numRows) )
- {
- /* Set status as ARM_MATH_SIZE_MISMATCH */
- status = ARM_MATH_SIZE_MISMATCH;
- }
- else
- #endif /* #ifdef ARM_MATH_MATRIX_CHECK */
- {
- /* a1 b1 c1 x1 = a1
- b2 c2 x2 a2
- c3 x3 a3
- x3 = a3 / c3
- x2 = (a2 - c2 x3) / b2
- */
- int i,j,k,n,cols;
- float32_t *pX = dst->pData;
- float32_t *pLT = lt->pData;
- float32_t *pA = a->pData;
- float32_t *lt_row;
- float32_t *a_col;
- n = dst->numRows;
- cols = dst -> numCols;
- for(j=0; j < cols; j ++)
- {
- a_col = &pA[j];
- for(i=0; i < n ; i++)
- {
- float32_t tmp=a_col[i * cols];
- lt_row = &pLT[n*i];
-
- for(k=0; k < i; k++)
- {
- tmp -= lt_row[k] * pX[cols*k+j];
- }
- if (lt_row[i]==0.0f)
- {
- return(ARM_MATH_SINGULAR);
- }
- tmp = tmp / lt_row[i];
- pX[i*cols+j] = tmp;
- }
- }
- status = ARM_MATH_SUCCESS;
- }
- /* Return to application */
- return (status);
- }
- #endif /* #if defined(ARM_MATH_NEON) */
- #endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
- /**
- @} end of MatrixInv group
- */
|