Numerical Methods in Biomechanics: Introduction

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 3 of 4

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.

Numerical Modelling of the Atmosphere

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

Time Integration: Unsteady Simulation Methods

Explores numerical methods for unsteady flow simulation, emphasizing time integration techniques and boundedness criteria.

Numerical Methods in Chemistry

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

ODEs: Introduction and Solutions

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Multigroup Theory: Main Equations and Numerical Solution

Covers the derivation of multi-group diffusion equations and the numerical methods for solving the neutron diffusion equation.

Numerical Integration: Lagrange Interpolation, Simpson Rules

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Steady convection: Numerical methods and schemes

Explores numerical methods for steady convection-diffusion problems, discussing accuracy, stability, and trade-offs between different schemes.

Parallel Computation: Numerical Flow Simulation

Explores the numerical simulation workflow for parallel CFD, emphasizing reasons for parallel computation, mesh partitioning, performance metrics, and dynamic load balancing.

Computational Neuroscience: Biophysics & Modeling

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.