Application of Taylor's approximation formula

Related lectures (30)

Page 2 of 3

Explores trigonometric derivatives, composition of functions, and inflection points in differential calculation.

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

Covers the optimization of functions, focusing on finding the maximum and minimum values over a given domain.

Explores the Local Inversion Theorem and extremum points in functions.

Explores Taylor polynomials, odd orders, simplification, residues, and special cases of zero polynomials.

Focuses on determining local extremum points of functions through various examples.

Explores derivatives, local extrema, and convexity in functions, including Taylor's formula and function compositions.

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.

Covers the properties of functions, including symmetry, continuity, and limits.

Covers Taylor's approximation theorem, differentiability, error control, and function expansions.