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Lecture
Computational Geomechanics
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Related lectures (50)
Finite Element Analysis: Advanced Mechanisms in Engineering
Provides an overview of advanced mechanisms analysis using Finite Element Method and Finite Element Analysis in engineering applications.
Trade-offs in Data and Time
Explores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.
Numerical Methods in Chemistry
Covers the implementation of numerical methods in MATLAB for solving chemical problems.
Numerical Methods: Exercises
Covers exercises related to numerical methods, focusing on computational algorithms and problem-solving strategies.
Computational Geomechanics: Meshing, Groundwater Flow, and Constitutive Behavior
Covers mesh generation, groundwater flow, and constitutive behavior modeling in computational geomechanics.
Numerical Methods for Boundary Value Problems
Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.
Finite Differences and Finite Elements: Variational Formulation
Discusses finite differences and finite elements, focusing on variational formulation and numerical methods in engineering applications.
Numerical Differentiation: Part 1
Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.
Numerical Methods in Biomechanics: Hip-A
Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.
Lightcone Conformal Truncation and S-matrix Bootstrap
Delves into lightcone conformal truncation and the S-matrix bootstrap method for quantum field theory computations.
Scientific Computing in Neuroscience
Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.
ODEs: Introduction and Solutions
Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.
Jupyter Notebooks for Numerical Analysis
Covers the transition to Python and Jupyter notebooks for Numerical Analysis at EPFL, including interactive exercises and graded tests.
Stochastic Differential Equations: Mean-Field Inference
Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.
Mechanics of Slender Structure: Naturally Curly Hair in 3D
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Delves into the mechanics of slender structures using naturally curly hair in 3D as an example.
Verification and validation
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Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.
Computational Science and Engineering: Master Program Overview
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Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Numerical Methods in Physics
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Covers numerical methods in physics, focusing on solving complex problems and understanding limitations.
Numerical Modelling of the Atmosphere
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Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.
Introduction to NumPy: Basics of Scientific Computing
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Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.
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