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Mathematics and Computer Science: Bonnie Berger at MIT
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Related lectures (26)
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Optimal Linear Response: Stochastic Dynamical Systems
Explores optimal linear response for stochastic dynamical systems, addressing perturbations and mixing rate optimization.
Optimization Methods: Convergence and Trade-offs
Covers optimization methods, convergence guarantees, trade-offs, and variance reduction techniques in numerical optimization.
NumPy Arrays and Graphical Representations: Introduction
Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.
Optimal Transport: From Theory to Applications
Explores the history, theory, and applications of optimal transport in various fields, showcasing its importance in solving complex mathematical problems.
Sets and Operations: Introduction to Mathematics
Covers the basics of sets and operations in mathematics, from set properties to advanced operations.
Primal-dual Optimization: Extra-Gradient Method
Explores the Extra-Gradient method for Primal-dual optimization, covering nonconvex-concave problems, convergence rates, and practical performance.
Discriminant Analysis: Bayes Rule
Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.
Principal Components: Properties & Applications
Explores principal components, covariance, correlation, choice, and applications in data analysis.
Multiple Integrals: Techniques and Properties
Explores multiple integrals, techniques, properties, and center of gravity calculation in various domains.
Duplication of the Cube
Delves into the historical challenge of duplicating the cube, exploring construction methods, misattributions, and geometric concepts.
