tutorials/README.md

@@ -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.