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Astrophysical Fluids & Plasmas
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Related lectures (44)
Generating Functions: Properties and Applications
Explores generating functions, Laplace transform, and their role in probability distributions.
MHD Equilibrium & Stability
Explores Magnetohydrodynamic equilibrium and stability, ideal MHD solutions, 'hairy ball' theorem, and boundary conditions.
Turbulence: Numerical Flow Simulation
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Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Fundamentals of Electromagnetic Waves and Their Properties
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Provides an overview of electromagnetic wave properties, including speed, refraction, frequency spectrum, and polarization.
Finite Elements: Crash Course on Elliptic Problems
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Provides a crash course on finite elements for elliptic problems, emphasizing the Galerkin method and quasi-optimality.
Random Vectors and Stochastic Models for Communications
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Covers random vectors, joint probability, and conditional probability in communication stochastic models.
Radiative Exchange: Specular View Factors
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Covers specular view factors, radiative exchange, energy transfer, and numerical integration methods in thermal radiation.
Verification and validation
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Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.
Continuum Mechanics: Conservation Laws, Tensor Objects, and Fluid Dynamics
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Covers conservation laws, tensor objects, and fluid dynamics in Continuum Mechanics.
Elasticity: Constitutive Modelling in Geomechanics
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Explores constitutive modelling in geomechanics, focusing on stress-strain behavior and the application of elastic models in analytical and numerical methods.
Iso-parametric Formulation of Quad4 Element
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Explains the iso-parametric formulation of the quad4 planar element and the calculation of the stiffness matrix.
Consistency and Stability in Numerical Methods
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Explores consistency and stability in numerical methods, emphasizing error analysis and the role of boundary conditions.
Scientific Computing with Python
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Covers the basics of scientific computing with Python, focusing on programming, algorithms, and numerical methods.
Digital Physics: Convergence and Error Analysis
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Discusses evaluation feedback, convergence, error analysis, and adaptive time steps in physics simulations.
Two Phase Flow and Heat Transfer
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Covers the fundamentals of two-phase flow and heat transfer phenomena.
Navier-Stokes Equations: Hydrodynamics Fundamentals
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Covers the fundamentals of hydrodynamics, including the Navier-Stokes equations and stresses in fluids.
Numerical Integration: Trapezoidal Rule
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Covers numerical integration methods, focusing on the trapezoidal rule and iterative processes.
Numerical Flow Simulation: Boundary Conditions
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Covers the numerical simulation workflow for fluid dynamics, focusing on boundary conditions and their importance for solution convergence.
Fluid Mechanics: Pressure and Forces
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Explores pressure, forces, and fluid equilibrium in different levels.
Numerical Analysis: Nonlinear Equations
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Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.
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