Lectures related to Image Processing Basics

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Discusses algorithms for balancing exploration and exploitation in decision-making processes.

Variance Reduction: Strategies and Applications

Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.

Introduction to Programming: First Steps

Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.

Strings in C: Initialization and Memory Management

Covers the representation and management of strings in C, highlighting key differences from other programming languages.

Optimization with Constraints: KKT Conditions

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.