Numerical Derivatives of Order 2

Related lectures (27)

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Explores the Thomas algorithm for tridiagonal systems and the accuracy of direct methods in numerical computations.

Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.

Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.

Explores backward and central differences for numerical differentiation, analyzing their properties and error analysis.

Covers digital integration, interpolation polynomials, and integration formulas with error analysis.

Covers numerical integration methods, focusing on trapezoidal rules, degree of exactness, and error analysis.

Introduces the Euler Forward Method for ODEs, focusing on error analysis and stability.

Explores numerical differentiation methods and round-off errors in computer computations.

Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

Discusses numerical differentiation, error analysis, and finite difference formulas.