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Python Notebooks to solve integrals, derivatives, zero of a function, linear and non-linear systems, optimization, non linear fitting, interpolation and splines

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7 Commits
00_01_Numerical_Derivatives.ipynb
00_01_Numerical_Derivatives.ipynb
 
 
00_02_My_own_Solver_using_Newton_Gradient_Hessian_and_Jacobian.ipynb
00_02_My_own_Solver_using_Newton_Gradient_Hessian_and_Jacobian.ipynb
 
 
01_ListComprehension_Lambda.ipynb
01_ListComprehension_Lambda.ipynb
 
 
02_copy() and deepcopy().ipynb
02_copy() and deepcopy().ipynb
 
 
03_timeit.ipynb
03_timeit.ipynb
 
 
04_01_Integrals_and_Computation_Time.ipynb
04_01_Integrals_and_Computation_Time.ipynb
 
 
04_02_GammaFunction_Intergral.ipynb
04_02_GammaFunction_Intergral.ipynb
 
 
04_03_Integration and Fourier series and Transform with Classes.ipynb
04_03_Integration and Fourier series and Transform with Classes.ipynb
 
 
05_All you want to know on Integrals.ipynb
05_All you want to know on Integrals.ipynb
 
 
06_01_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.root.ipynb
06_01_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.root.ipynb
 
 
06_02_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.newton_scipy.optimize.bisect_and_numerical_and_sympy_derivatives.ipynb
06_02_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.newton_scipy.optimize.bisect_and_numerical_and_sympy_derivatives.ipynb
 
 
06_03_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.minimize_scalar.ipynb
06_03_Finding_Zero_NonLinear_Univariate_Functions_with scipy.optimize.minimize_scalar.ipynb
 
 
06_04_Finding_Zero_NonLinear_Univariate_Functions_Bisection_Newton_and_scipy.optimize.ipynb
06_04_Finding_Zero_NonLinear_Univariate_Functions_Bisection_Newton_and_scipy.optimize.ipynb
 
 
06_05_Finding_Zero_with_decorators.ipynb
06_05_Finding_Zero_with_decorators.ipynb
 
 
07_00_to_11_Solving_Linear_and_NonLinear_Systems.ipynb
07_00_to_11_Solving_Linear_and_NonLinear_Systems.ipynb
 
 
07_01_Solving_invertible_Linear Squared Systems_with_numpy.linalg.solve.ipynb
07_01_Solving_invertible_Linear Squared Systems_with_numpy.linalg.solve.ipynb
 
 
07_02_Solving Linear Systems_LeastSquares_and_Polynomials_Fitting.ipynb
07_02_Solving Linear Systems_LeastSquares_and_Polynomials_Fitting.ipynb
 
 
07_03_Solving Linear Systems_Squared_Undetermined_as_Fat_Overdetermined_as_Skinny.ipynb
07_03_Solving Linear Systems_Squared_Undetermined_as_Fat_Overdetermined_as_Skinny.ipynb
 
 
08_01_Solving_NonLinear_Systems_with_scipy.fsolve_(Multivariate_Jacobian_Hessian_Matrices).ipynb
08_01_Solving_NonLinear_Systems_with_scipy.fsolve_(Multivariate_Jacobian_Hessian_Matrices).ipynb
 
 
08_02_Solving_Two_dim_NonLinear_System_scipy.optimize.ipynb
08_02_Solving_Two_dim_NonLinear_System_scipy.optimize.ipynb
 
 
09_01_NonLinearFitting_Sinusoidal_Function_with_leastsq_in_scipy.optimize.ipynb
09_01_NonLinearFitting_Sinusoidal_Function_with_leastsq_in_scipy.optimize.ipynb
 
 
09_02_NonLinearFitting_Exponential_Function_with_leastsq_in_scipy.optimize.ipynb
09_02_NonLinearFitting_Exponential_Function_with_leastsq_in_scipy.optimize.ipynb
 
 
09_03_NonLinearFitting_Logistic_Regression_with_sklearn.linear_model_and_statsmodels.api.ipynb
09_03_NonLinearFitting_Logistic_Regression_with_sklearn.linear_model_and_statsmodels.api.ipynb
 
 
10_01_Eigenvalues Problems_with_sympy.ipynb
10_01_Eigenvalues Problems_with_sympy.ipynb
 
 
10_02_Eigenvalues Problems_Examples.ipynb
10_02_Eigenvalues Problems_Examples.ipynb
 
 
10_03_Sorting_Eigenvalues.ipynb
10_03_Sorting_Eigenvalues.ipynb
 
 
10_04_EigenValues_EigenVectors_PCA_is_translating_done_by_multiplying_by_the_eigenvectors_matrix.ipynb
10_04_EigenValues_EigenVectors_PCA_is_translating_done_by_multiplying_by_the_eigenvectors_matrix.ipynb
 
 
10_05_EigenValues_EigenVectors_PCA_applied_to_a_skinny_matrix.ipynb
10_05_EigenValues_EigenVectors_PCA_applied_to_a_skinny_matrix.ipynb
 
 
11_PCA.ipynb
11_PCA.ipynb
 
 
12_SVD_and_Matrix_Inverse.ipynb
12_SVD_and_Matrix_Inverse.ipynb
 
 
13_01_Interpolation_Univariate_Spline.ipynb
13_01_Interpolation_Univariate_Spline.ipynb
 
 
13_02_Interpolation_Univariate_with_Power_Chebyshev_Legendre_Polynomials_and_Spline.ipynb
13_02_Interpolation_Univariate_with_Power_Chebyshev_Legendre_Polynomials_and_Spline.ipynb
 
 
14_01_Opimization_Minimization_of_Multivariate_Functions.ipynb
14_01_Opimization_Minimization_of_Multivariate_Functions.ipynb
 
 
14_02_Opimization_Practising_on_Rosenbrock_Function_with_scipy.optmize.ipynb
14_02_Opimization_Practising_on_Rosenbrock_Function_with_scipy.optmize.ipynb
 
 
14_03_More_Optimization_Practise.ipynb
14_03_More_Optimization_Practise.ipynb
 
 
14_04_OpimizationMinimization_Constraints_Lagrange_Inequality_LinearProgramming.ipynb
14_04_OpimizationMinimization_Constraints_Lagrange_Inequality_LinearProgramming.ipynb
 
 
README.md
README.md
 
 

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Numerical Methods In Python

Python Notebooks to solve integrals, derivatives, zero of a function, linear and non-linear systems, optimization, non linear fitting, interpolation and splines

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Python Notebooks to solve integrals, derivatives, zero of a function, linear and non-linear systems, optimization, non linear fitting, interpolation and splines

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