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Related lectures (31)
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Bipartite and n-partite Graphs
Covers bipartite and n-partite graphs, including complete graph definitions and examples.
Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Topological Scattering: From Graphs to Networks
Covers defining topological phases for photonic systems using unitary scattering matrices, transitioning from graphs to networks.
Eigenvalues and Sequences
Discusses finding d-regular graphs with specific eigenvalue properties and the existence of Ramasugan sequences for d-opt prime numbers.
Temporal Summation Analysis
Covers the analysis of temporal summations in bio mechanics.
Calibration Resolution: Hydrologic Parameters Optimization
Covers the calibration of hydrologic models through parameter optimization and post-simulation analysis.
Graphs: Injection and Surjection
Explains injectivity and surjectivity criteria in functions using graphical representations.
Optimization of Pseudometrics in Graphs
Covers the optimization of pseudometrics in graphs, focusing on minimizing pseudometrics and the shortest path metric.
Advanced Analysis II: Reciprocal Functions
Covers the concept of reciprocal functions and their properties, with various illustrative examples.
Partial Derivatives: Understanding Tangents
Explores partial derivatives and their role in determining tangents to graphs.