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Related lectures (9)

Numerical Methods: Euler and Crank-Nicolson

Covers Euler and Crank-Nicolson methods for solving differential equations.

Power Method

Covers the Power Method for approximating the largest eigenvalue of a matrix.

Inverse Power Method: Introduction to ODEs

Explores the inverse power method for ODEs and the significance of Lipschitz continuity.

Optimal Treatment Regimes: Instrumental Variable Approaches

Delves into instrumental variable approaches for optimal treatment regimes, including precision medicine and personalized recommendations, with a focus on identification conditions and robust classification-based estimators.

System of ODEs: High Order ODEs

Covers high order ODEs, numerical methods, and stability criteria.

Measures of central tendency

Covers mean, median, mode, box plots, and histograms in datasets.

Implicit Generative Models

Explores implicit generative models, covering topics like method of moments, kernel choice, and robustness of estimators.

Zero-stability and absolute-stability

Explores zero-stability and absolute-stability in numerical methods, including Forward Euler, Backward Euler, Crank-Nicolson, and Heun's methods.

Richardson Method: Preconditioned Iterative Solvers

Covers the Richardson method for solving linear systems with preconditioned iterative solvers and introduces the gradient method.

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