Graphical Basics: MATLAB and Octave for Beginners

Related lectures (30)

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Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.

Explores plotting 2D graphs, handling errors, creating bar charts, and visualizing vector fields in Matlab/Octave.

Covers the terminology related to the graph of a function and intervals.

Covers the properties and operations of convex functions.

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

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Covers the graphical definition of functions, focusing on level sets and domains.

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

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