Lecture

Truncated CG: Conjugate Gradients

Description

This lecture covers the truncated conjugate gradients algorithm for solving positive definite linear maps. It explains the iterative process, the computation of conjugate directions, and the minimization of a quadratic function subject to constraints. The instructor discusses the trust-region method and the local and global behavior of the algorithm, providing theoretical insights and practical applications.

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