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Ömür Uğur
2025-09-17 13:11:55 +03:00
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tutorials/README.md
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@@ -4,7 +4,7 @@ This package comes with a set of Jupyter notebooks designed as a structured tuto
## Core Tutorials
1. [Tutorial 1: Vectors and Matrices](tutorial1_vectors.ipynb)
1. [Tutorial 1: Vectors and Matrices](./tutorial1_vectors_matrices.ipynb)
- Definitions of vectors and matrices.
- Vector operations: addition, scalar multiplication, dot product, norms.
@@ -12,7 +12,7 @@ This package comes with a set of Jupyter notebooks designed as a structured tuto
- Matrix and vector norms.
- Examples with `numethods.linalg`.
2. [Tutorial 2: Linear Systems of Equations](tutorial2_linear_systems.ipynb)
2. [Tutorial 2: Linear Systems of Equations](./tutorial2_linear_systems.ipynb)
- Gaussian elimination and Gauss–Jordan.
- LU decomposition.
@@ -20,7 +20,7 @@ This package comes with a set of Jupyter notebooks designed as a structured tuto
- Iterative methods: Jacobi and Gauss-Seidel.
- Examples with `numethods.solvers`.
3. [Tutorial 3: Orthogonalization and QR Factorization](tutorial3_orthogonalization.ipynb)
3. [Tutorial 3: Orthogonalization and QR Factorization](./tutorial3_orthogonalization.ipynb)
- Inner products and orthogonality.
- Gram–Schmidt process (classical and modified).
@@ -28,7 +28,7 @@ This package comes with a set of Jupyter notebooks designed as a structured tuto
- QR decomposition and applications.
- Examples with `numethods.orthogonal`.
4. [Tutorial 4: Root-Finding Methods](tutorial4_root_finding.ipynb)
4. [Tutorial 4: Root-Finding Methods](./tutorial4_root_finding.ipynb)
- Bisection method.
- Fixed-point iteration.