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Related lectures (29)
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Mathematics and Computer Science: Bonnie Berger at MIT
Features Bonnie Berger, a professor at MIT, discussing mathematics and computer science.
Duplication of the Cube
Delves into the historical challenge of duplicating the cube, exploring construction methods, misattributions, and geometric concepts.
Optimization Methods: Convergence and Trade-offs
Covers optimization methods, convergence guarantees, trade-offs, and variance reduction techniques in numerical optimization.
Primal-dual Optimization: Extra-Gradient Method
Explores the Extra-Gradient method for Primal-dual optimization, covering nonconvex-concave problems, convergence rates, and practical performance.
Diffusion Equations: Green's Function Approach
Covers the analysis and solution of diffusion equations using Green's function approach and discusses boundary conditions and dimensional analysis.
Nonlinear Bourgain's Projection Theorem
Explores a nonlinear version of Bourgain's Projection Theorem and its diverse applications in mathematics.
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.
Nonlinear Equations: Methods and Applications
Covers methods for solving nonlinear equations, including bisection and Newton-Raphson methods, with a focus on convergence and error criteria.
Mathematics of Data: From Theory to Computation
Covers key concepts in data mathematics, including automatic differentiation, linear layers, and attention layers.
Discriminant Analysis: Bayes Rule
Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.
Boundary Problems in 1D: Part 1
Covers the resolution of boundary problems in 1D, focusing on mathematical concepts and equations.
Nonlinear Systems: Equations and Solutions
Explores solving nonlinear systems of equations using Newton's method.
Principal Components: Properties & Applications
Explores principal components, covariance, correlation, choice, and applications in data analysis.
Advanced Analysis: Differential Equations Overview
Covers the fundamentals of differential equations, their properties, and methods for finding solutions through various examples.
Canonical Correlation Analysis
Covers the mathematical development of canonical correlation analysis, including population and sample CCA.
Copulas: Properties and Applications
Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.
Fourier Series: Properties and Applications
Explores Fourier series properties, periodic functions, and coefficient calculation for signal processing and mathematics.
Maximum Likelihood Estimation: Multivariate Statistics
Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.
Laplace Transform: Solving Differential Equations
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Discusses the application of the Laplace transform to solve differential equations and explores its properties and examples.
Introduction to Physics: Scientific Approach and Mathematics
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Covers the scientific method, mathematical descriptions, and the role of mathematics in Physics.
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