Lectures related to Finite Differences Proof

Covers the numerical approximation of PDEs and examples of nonlinear behavior.

Explores VC dimension, gradient descent, convex sets, and Lipschitz functions in convex optimization.

Covers the Meyers-Serrin theorem in analysis, discussing the conditions for functions in different spaces.

Covers topics in probability theory, focusing on uniform integrability and convergence theorems.

Presents exam problem examples illustrating the application of mathematical concepts in practical problem-solving.

Covers the Hadamard factorisation theorem for entire functions of order at most 1.

Covers Exercise 4 from Series 20, focusing on mathematical problem-solving strategies.

Explores the concept of end-to-end vector and its practical implications.

Covers Markov chains decomposition, LLN proof, Inventory Model application, and average costs.

Explores the completeness of LP, discussing implications of mathematical conditions and the convergence of series.