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Related lectures (28)

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Covers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.

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

Explores precompilation directives in C language, handling main() arguments, and passing arguments to a program.

Explains the calculation of acid dissociation constant (Ka) and its implications on acid-base equilibria.

Covers quantum eigenfunctions and the importance of A and B commuting for the same set of eigenfunctions.

Explores examples of absorbing chains in discrete-time Markov chains, focusing on transition probabilities.

Explores spelling error correction, including neologisms and borrowings, using edit distance and finite-state automata.

Covers the analysis and understanding of heterogeneous reactions and reaction kinetics.

Explores nilpotent Lie groups, their orbits, and adjoint actions, illustrating simplicity and form.

Explores the Stern-Gerlach experiment, strong measurements, cavity quantum electrodynamics, and quantum optomechanics.