Lecture

Inequality Resolution: x + 4 / 2x + 1

Related lectures (31)

Analytical Trajectories: Key Ingredients

Explores analytical trajectories, emphasizing critical points, inequalities, and analyticity.

Optimization with Constraints: Theory and Applications

Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.

Sets and Operations: Introduction to Mathematics

Covers the basics of sets and operations in mathematics, from set properties to advanced operations.

Optimization Methods: Convergence and Trade-offs

Covers optimization methods, convergence guarantees, trade-offs, and variance reduction techniques in numerical optimization.

Absolute Values: Equations and Inequalities

Explores absolute values in equations and inequalities, focusing on solving |f(x)| = g(x).

Discriminant Analysis: Bayes Rule

Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.

Limits Analysis

Explores the analysis of limits in different mathematical cases using trigonometry and polar coordinates.

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.

Primal-dual Optimization: Extra-Gradient Method

Explores the Extra-Gradient method for Primal-dual optimization, covering nonconvex-concave problems, convergence rates, and practical performance.

Limits of Sequences

Covers the concept of limits of sequences, including definitions, examples, boundedness, and more.

Principal Components: Properties & Applications

Explores principal components, covariance, correlation, choice, and applications in data analysis.

Derivative of an Integral with Parameter

Covers deriving integrals with parameters and their derivatives, including special cases and proofs.

Multiple Integrals: Techniques and Properties

Explores multiple integrals, techniques, properties, and center of gravity calculation in various domains.

Copulas: Properties and Applications

Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.

Programming Thymio with Aseba Studio

Demonstrates students using Aseba Studio to learn programming basics and computational thinking through math-related activities.

Inductive Series

Covers the concept of inductive series and their convergence conditions.

Integration by Substitution

Explores integration by substitution with proofs and examples on anti-derivatives and function equivalence.

Generalization in Deep Learning

Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.

Example Type 3

Covers changing variables in integrals with a focus on exponential functions.

Implicit Functions Theorem

Covers the Implicit Functions Theorem, providing a general understanding of implicit functions.