Population Dynamics: Q(m) and Population Behavior

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

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

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores future urban population growth, environmental impact, and demographic transition.

Explores the role of graphs in deep learning, focusing on their structure, applications, and techniques for processing graph data.

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

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

Covers mathematical modeling in chemistry and biology, including chemical reactions, enzymatic kinetics, and population dynamics.

Covers the formalism and bases of dynamic systems, including differential equations and non-linear systems.

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