Non-analytic smooth function

Related lectures (32)

Page 3 of 4

Covers differentiable functions, derivatives, and tangent planes in mathematics.

Covers the definition of differentiable functions and explores the representation of the remainder in derivatives.

Explores the existence of primes in arithmetic progressions and the properties of the Euler gamma function.

Discusses proximal gradient descent and its applications in optimizing machine learning algorithms.

Covers the definitions of differentiable and derivable functions and their geometric interpretation.

Covers the concept of osculating planes and parameterized curves, discussing the speed of points and linear independence.

Explores differentiable functions, gradients, and tangent planes in two-variable functions.

Explores the approximation of the zeta function using compact functions and spectral decomposition.

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

Covers constructing characters and lifting them to analytic functions on Cp, emphasizing the importance of correction terms for convergence.