Convexity and Optimization

Related lectures (24)

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Covers the optimization of volume by constructing a rectangular box.

Covers derivability on an interval, including Rolle's Theorem and practical applications in function analysis.

Explores inflection points, convexity, concavity, and asymptotes in functions, with examples and applications.

Discusses optimization techniques, focusing on local and global extrema in functions.

Covers the concept of limits and continuity in real analysis.

Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Explores derivatives and approximations, focusing on logarithmic functions and their properties.

Explores concavity, convexity, critical points, and singularities in functions.