Integration Techniques: Change of Variable

Related lectures (31)

Page 3 of 4

Covers improper integrals techniques and examples, exploring convergence and absolute convergence.

Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.

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

Covers differential equations, including examples and unique solutions.

Introduces general surfaces, explaining parameterizations, regularity, and integrals with examples like cylinder shells and spheres.

Explores differentiable functions in R², including vector fields and coordinate transformations.

Covers supporting hyperplanes for approximating functions' graphs in different dimensions using hyperplanes and linear approximations.

Discusses advanced optimization techniques, focusing on faster and projected gradient descent methods in machine learning.

Covers the definition of derivatives and provides examples of differentiable functions.

Explores differentiability in two variables and the chain rule for compositions.