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Refactor code for improved readability and consistency across multiple Jupyter notebooks

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- Added missing commas in various print statements and function calls for better syntax.
- Reformatted code to enhance clarity, including breaking long lines and aligning parameters.
- Updated function signatures to use float type for sigma parameters instead of int for better precision.
- Cleaned up comments and documentation strings for clarity and consistency.
- Ensured consistent formatting in plotting functions and data handling.
This commit is contained in:
Arthur Danjou
2025-12-13 23:38:17 +01:00
parent f89ff4a016
commit d5a6bfd339
50 changed files with 779 additions and 449 deletions
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4
M1/Numerical Optimisation/ComputerSession2.ipynb
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@@ -384,7 +384,7 @@
"optimal_point_newton, iterations_newton = newton_method(initial_guess_newton)\n",
"print(f\"Optimal point (Newton): {optimal_point_newton}\")\n",
"print(\n",
" f\"Objective function value at optimal point (Newton): {objective_function(optimal_point_newton)}\"\n",
" f\"Objective function value at optimal point (Newton): {objective_function(optimal_point_newton)}\",\n",
")\n",
"print(f\"Number of iterations (Newton): {iterations_newton}\")\n",
"\n",
@@ -395,7 +395,7 @@
"optimal_point_dichotomy, iterations_dichotomy = dichotomy_method(aL, aR)\n",
"print(f\"Optimal point (Dichotomy): {optimal_point_dichotomy}\")\n",
"print(\n",
" f\"Objective function value at optimal point (Dichotomy): {objective_function(optimal_point_dichotomy)}\"\n",
" f\"Objective function value at optimal point (Dichotomy): {objective_function(optimal_point_dichotomy)}\",\n",
")\n",
"print(f\"Number of iterations (Dichotomy): {iterations_dichotomy}\")"
]