Lectures related to Numerical Differentiation and Integration

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

Covers numerical differentiation and integration techniques using examples and quadrature formulas.

Covers numerical differentiation, integration, finite differences, Taylor expansions, and interpolation polynomials.

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

Covers the concept of numerical derivatives of order 1 and the importance of choosing a small fixed value for h.

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

Explains finite difference grids for computing solutions of elastic membranes using Laplace's equation and numerical methods.

Explores boundary value problems, finite difference method, and Joule heating examples in 1D.

Explores numerical differentiation using finite differences and addresses the impact of errors in computer computations.

Explores hydroacoustic modeling through electrical analogies, discussing resolution methods, simplified equations, and physical interpretations.

Explores numerical integration methods and their application in solving differential equations and simulating physical systems.

Explores finite differences formulas, error analysis, and numerical experiments in computational mathematics.

Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Discusses finite differences and finite elements, focusing on variational formulation and numerical methods in engineering applications.

Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.

Covers advanced topics in numerical analysis, focusing on techniques for solving complex mathematical problems.

Introduces the finite difference method for approximating derivatives and solving differential equations in practical applications.

Covers the motivation and examples of boundary value problems, the finite difference method, and the approximation of local derivatives.

Explores the stability analysis of finite difference methods for solving differential equations.

Covers Euler and Crank-Nicolson methods for solving differential equations.