Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Optimal Control: Direct Solution Methods
Graph Chatbot
Related lectures (47)
Numerical Methods in Biomechanics: Hip-A
Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.
Numerical Differentiation: Part 1
Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.
Neutron Diffusion Equation: Numerical Methods
Covers numerical methods for solving the neutron diffusion equation and addressing heterogeneous effects in thermal reactors.
Numerical Methods for Boundary Value Problems
Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.
Finite Elements: Elasticity and Variational Formulation
Explores finite element methods for elasticity problems and variational formulations, emphasizing admissible deformations and numerical implementations.
Numerical Methods: Boundary Value Problems
Explores boundary value problems, finite difference method, and Joule heating examples in 1D.
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.
Numerical Analysis: Introduction to Computational Methods
Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.
Numerical Integration: Romberg Integration
Explores Romberg integration to improve numerical integration accuracy through iterative refinement of estimates.
Runge-Kutta Methods: Approximating Differential Equations
Covers the stages of the explicit Runge-Kutta method for approximating y(t) with detailed explanations.
Nonlinear Problem Solving
MOOC: Numerical Analysis for Engineers
Covers the process of solving nonlinear problems using known and unknown variables.
High Order Methods: Space Discretisation
Covers high order methods for space discretisation in linear differential systems.
Numerics: semester project
Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.
Thomas algorithm, accuracy of direct methods
Log in to Mediaspace to watch this video
Explores the Thomas algorithm for tridiagonal systems and the accuracy of direct methods in numerical computations.
Numerical Methods: Euler and Crank-Nicolson
Log in to Mediaspace to watch this video
Covers Euler and Crank-Nicolson methods for solving differential equations.
Verification and validation
Log in to Mediaspace to watch this video
Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.
Numerical Modelling of the Atmosphere
Log in to Mediaspace to watch this video
Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.
Conjugate Gradient Methods
Log in to Mediaspace to watch this video
Explores gradient and conjugate gradient methods for solving linear systems efficiently.
Isoparametric Formulation of Quad4 Element
Log in to Mediaspace to watch this video
Covers the isoparametric formulation of the Quad4 planar element and stiffness matrix calculation.
Previous
Page 1 of 3
Next
