Lectures related to Graph rewriting

Covers the analysis of functions, composition, and mathematical induction.

Explores concurrent programming theory and practice, covering system models, cache coherence, and graph processing.

Covers the Stochastic Block Model for community detection.

Covers graph processing with a focus on Oracle Labs PGX, discussing graph analytics, databases, algorithms, and distributed analytics challenges.

Covers the concept of affine transformations in functions, including shifting and compressing functions.

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.

Explores finding the equation of the tangent line to a function's graph at a point.

Explores the properties and applications of Cayley graphs in group theory and network analysis.

Explores the Stein algorithm for polynomial identity testing and the minimization of a cut problem.

Covers linear transformations, matrices, kernels, and properties of invertible matrices.

Delves into image systems, physical connections, pattern propagation, and morphograph creation.

Covers the instructor's work on designing, building, scaling, and ensuring the robustness of operating systems during their PhD.

Explores real functions of two real variables, illustrating domains, images, and graphs.

Discusses the graph of a relation and the concept of separation.

Explores counterfactuals in SEMs and D-Separation in graphical models.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Explores the construction of graphs for harmonic oscillations with different amplitudes and phases.

Explores the challenges and solutions for analyzing large datasets efficiently in the digital era.

Explains the relationship between two functions through restriction and prolongation, emphasizing the importance of defining a function by its graph.