Linear System Solvers
In the section Linear System Solvers libraries Signal Operations you can solve systems of linear equations with quadratic coefficient matrices using Choletsky, LDL and LU decompositions. These blocks allow you to efficiently solve problems involving positively defined and other types of matrices, providing accurate results for a wide range of computational problems.
- Backward Substitution
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Solving the equation with respect to for the case where is an upper triangular matrix.
- Cholesky Solver
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Solving a system of linear equations with a square Hermite positively defined coefficient matrix using the Cholecki decomposition.
- Forward Substitution
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Solving a system of equations of the form with respect to for the case where is a lower triangular matrix.
- LDL Solver
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Solving a system of linear equations with square Hermite positively defined coefficient matrix using LDL decomposition.
- Levinson-Durbin
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Solving a linear system of equations using Levinson-Durbin recursion.
- LU Solver
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Solving a system of linear equations with a square matrix of coefficients using LU decomposition.