Lectures related to ODEs: Introduction and Solutions

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

Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.

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

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

Explores transient flow in porous media, covering governing equations, stability conditions, and numerical methods.

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

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

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

Explores water transfers simulation using the Richards equation and numerical methods.

Covers internal heat transfer effects in heterogeneous reactions, emphasizing dimensionless numbers and transport effects.

Covers the basics of Partial Differential Equations, focusing on heat transfer modeling and numerical solution methods.

Covers the renumbering of stencil points and the impact of boundary corrections on the linear system matrix.

Explores inverse monotonicity in numerical methods for differential equations, emphasizing stability and convergence criteria.

Provides an overview of advanced mechanisms analysis using Finite Element Method and Finite Element Analysis in engineering applications.

Covers finite element methods for solving diffusion problems in porous media, including meshing, interpolation, and weighted residuals.

Introduces finite element modeling for numerical solutions to complex problems.

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

Covers the optimization of energy systems, focusing on solving equations and numerical methods.

Covers the Jacobi iterative method for solving electrostatic problems and discusses convergence and practical examples.

Explores the numerical simulation of steady convection-diffusion problems, discretization, boundary conditions, and algebraic system assembly.