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Algebra lineare

Risolvere un sistema di equazioni lineari, fattorizzare e invertire le matrici

I blocchi di algebra lineare del sistema DSP System Toolbox™ consentono di lavorare con le matrici in Simulink^®. Ad esempio, per risolvere un insieme di equazioni lineari con i metodi Levinson-Durbin e Cholesky, utilizzare i blocchi Levinson-Durbin e Cholesky Solver. Queste tecniche sono comunemente utilizzate in applicazioni come il problema di Yule-Walker AR e la codifica predittiva lineare. Per fattorizzare una matrice quadrata in componenti superiori e inferiori, si utilizzano metodi come la fattorizzazione LDL e la fattorizzazione LU. Per invertire le matrici, si utilizzano metodi come la fattorizzazione di Cholesky, la fattorizzazione LDL e la fattorizzazione LU. Per un riepilogo di tutte le tecniche supportate e dei blocchi corrispondenti in DSP System Toolbox che implementano tali tecniche, vedere Linear Algebra and Least Squares.

Blocchi

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Fattorizzazione della matrice

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

Solver di sistemi lineari

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

Inversi di matrice

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

Argomenti

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.