Numerical Derivative

Related lectures (29)

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Covers the application of finite element methods to solve boundary value problems in one dimension.

Covers the implementation of numerical methods in MATLAB for solving chemical problems.

Covers energy system, numerical methods, Newton-Raphson, convergence, and efficient equation solving.

Explores unconfined flow in computational geomechanics, emphasizing weak form derivation and relative permeability.

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Covers Richardson extrapolation for numerical differentiation to reduce error.

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Introduces numerical optimization with Scipy, covering zero finding, problem dimensionality, derivatives, and advanced visualization techniques.

Introduces numerical root finding, differentiation, integration, and ODE solving using Scipy.