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Arnoldi iteration
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Related lectures (32)
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Image Coding Optimization
Demonstrates the optimization of image coding by creating a compressed image list.
Jacobi and Gauss-Seidel methods
Explains the Jacobi and Gauss-Seidel methods for solving linear systems iteratively.
Bisection Method: Example
Focuses on using the bisection method to approximate function roots with precision.
Data Science with Python: Numpy Basics
Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.
Python Complement: Numpy, Scipy, Matplotlib
Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Neutron Diffusion Equation: Numerical Methods
Covers numerical methods for solving the neutron diffusion equation and addressing heterogeneous effects in thermal reactors.
Data Science for Engineers: Part 2
Explores data manipulation, exploration, and visualization in data science projects using Python.
Numerical Analysis: Linear Systems
Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.
Infinite-Horizon Problems: Formulation & Complexity
Covers infinite-horizon problems in Applied Probability and Stochastic Processes.
Jacobi Method: Convergence Conditions
Explores the Jacobi method for linear systems, emphasizing convergence conditions and matrix properties.