Algèbre linéaire
R2026bLes blocs d’algèbre linéaire des systèmes de DSP System Toolbox™ permettent de travailler avec des matrices dans Simulink®. Par exemple, vous pouvez résoudre un système d’équations linéaires avec les méthodes de Levinson-Durbin et de Cholesky en utilisant les blocs Levinson-Durbin et Cholesky Solver. Ces techniques sont couramment utilisées dans des applications comme le problème autorégressif de Yule-Walker et le codage prédictif linéaire. Pour factoriser une matrice carrée en composantes supérieures et inférieures, utilisez par exemple les méthodes de factorisation LDL et LU. Pour inverser des matrices, utilisez par exemple les méthodes de factorisation LDL, LU et de Cholesky. Pour un récapitulatif de toutes les techniques supportées et des blocs correspondants de DSP System Toolbox permettant de les implémenter, veuillez consulter Linear Algebra and Least Squares.
Blocs
 | Cholesky Factorization | Factor square Hermitian positive definite matrix into triangular components |
 | LDL Factorization | Factor square Hermitian positive definite matrices into lower, upper, and diagonal components |
 | LU Factorization | Factor square matrix into lower and upper triangular components |
 | QR Factorization | Factor arbitrary matrix into unitary and upper triangular components |
 | Singular Value Decomposition | Factor matrix using singular value decomposition |
 | Backward Substitution | Solve UX = B for X when U is upper triangular matrix |
 | Cholesky Solver | Solve SX = B for X when S is a square Hermitian positive definite matrix |
 | Forward Substitution | Solve LX = B for X when L is lower triangular matrix |
 | LDL Solver | Solve SX = B when S is square Hermitian positive definite matrix |
 | Levinson-Durbin | Solve linear system of equations using Levinson-Durbin recursion |
 | LU Solver | Solve AX = B when A is a square matrix |
 | QR Solver | Find minimum-norm-residual solution to AX=B |
 | SVD Solver | Solve AX = B using singular value decomposition |
 | Cholesky Inverse | Compute inverse of Hermitian positive definite matrix using Cholesky factorization |
 | LDL Inverse | Compute inverse of Hermitian positive definite matrix using LDL factorization |
 | LU Inverse | Compute inverse of square matrix using LU factorization |
 | Pseudoinverse | Compute Moore-Penrose pseudoinverse of matrix |
Rubriques
- Linear Algebra and Least Squares
Solve systems of linear equations.
- LDL Factorization of 3-by-3 Hermitian Positive Definite Matrix
Simulink model example that shows how to use the LDL Factorization block.
- Solve Matrix Equation Using Backward Substitution
Use Backward Substitution block to solve a system of linear equations. Verify the solution using Matrix Multiply block.
- Solve Matrix Equation Using Forward Substitution
Use Forward Substitution block to solve a system of linear equations. Verify the solution using Matrix Multiply block.
- Find Inverse of Matrix Using the LU Inverse Block
Find inverse of a square matrix using the LU Inverse block.
- Solve Matrix Equation Using LU Solver
Use LU Solver block to solve a matrix equation. Verify the solution using Matrix Multiply block.
- Solve Matrix Equation Using Singular Value Decomposition
Use SVD Solver block to solve a matrix equation. Verify the solution using Matrix Multiply block.
- Solve Matrix Equation Using Cholesky Solver
Use Cholesky Solver block to solve a matrix equation. Verify the solution using Matrix Multiply block.
- Factorize Matrix Using LU Factorization Block
Factorize a matrix using the LU Factorization block.
