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In this program

Gaussian elimination
Pivoting strategies
LU decomposition and matrix inversion
Condition number and ill-conditioning
Iterative methods: Jacobi, Gauss–Seidel, and SOR
Eigenvalue problems
QR overview

Linear algebra computations

LU decomposition and matrix inversion

Numerical methods for engineers · STEM / applied

Topic

LU decomposition and matrix inversion

Practice by unit: Linear algebra computations

Undergraduate Numerical Methods for Engineers — scope drawn from open numerical methods engineering texts and typical US numerical methods syllabi.

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