Taylor and Lagrange Formulas

Related lectures (27)

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Explores partial derivatives and functions in multivariable calculus, emphasizing their importance and practical applications.

Introduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.

Covers Riemann sums, definite integrals, Taylor series, and exponential of complex numbers.

Covers properties of logarithms, power functions, and their derivatives, with examples illustrating key concepts.

Covers Taylor polynomials and their role in approximating functions in multiple variables.

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

Covers Taylor's formula, developments, and extrema of functions, discussing convexity and concavity.

Covers partial derivatives for functions of one and two variables, emphasizing their importance and calculation.

Covers partial derivatives, gradient, and second partial derivatives with their applications.

Covers the concept of developing limited functions and includes physical examples.