
Learn how to solve fundamental problems in fluid dynamics using Matlab.

Comprehensive exploration of computational fluid dynamics, covering mathematical foundations, discretization methods, and numerical techniques for solving fluid flow problems.

This course looks at all the aspects theoretical, numerical, and application aspects of computational fluid dynamics. Computational fluid dynamics (CFD) has become an essential tool in the analysis and design of thermal and fluid flow systems in a wide r…

Comprehensive exploration of computational fluid dynamics fundamentals, covering essential concepts and techniques over 8 weeks through structured modules and practical applications.

Explore incompressible flow dynamics through finite difference and volume methods. Master equations, boundary conditions, and numerical techniques for solving fluid dynamics problems.

Discover how SeismicWaves.jl enables efficient wave equation solving through finite-difference methods, offering high-performance computing capabilities for both small-scale prototyping and large-scale simulations.

Explore machine learning techniques to enhance numerical PDE simulations, focusing on acceleration, surrogate modeling, and improved physical representation for complex physics and engineering systems.

Aprofunde-se em métodos numéricos avançados para equações diferenciais parciais, explorando técnicas e aplicações em nível de doutorado.

Explore advanced numerical methods for solving partial differential equations in this doctoral-level lecture, focusing on cutting-edge techniques and applications in mathematical modeling.

Explore numerical methods for solving partial differential equations, focusing on techniques essential for gravitational wave astronomy and computational relativity.

Explore numerical methods for solving partial differential equations, focusing on techniques essential for gravitational wave astronomy and computational relativity.

Explore numerical methods for solving partial differential equations, focusing on techniques essential for gravitational wave astronomy and computational relativity.

Explore Forward and Backward Euler integration methods for ODEs, including derivations, error sources, and stability analysis. Gain insights into numerical integration techniques for solving differential equations.

Explore high-order finite difference schemes for Munk equation and Shallow Water equations on Cubed Sphere grid, with numerical and convergence analysis.

Explore finite difference methods in CFD, covering discretization, mesh types, and equation solving techniques for numerical solutions.

Explore the Method of Lines technique for solving hyperbolic partial differential equations, enhancing your understanding of numerical methods in applied mathematics.

Solve differential equations with boundary conditions using Python's NumPy and finite difference method. Master numerical techniques for complex mathematical problems.

Learn finite difference methods and Euler integration techniques for solving differential equations in engineering applications.

Explore PDEs and stencils in computational science, focusing on efficient numerical methods for solving partial differential equations.

Explore forced integrable systems, focusing on the sine-Gordon equation. Examine its applications in tectonic stress transfer and crack dynamics, with insights on boundary conditions and numerical methods.

Explore advanced numerical techniques in computational relativity, focusing on simulating black hole mergers and other high-energy astrophysical phenomena for gravitational-wave astronomy.