This lecture covers Richardson's methods for iterative solutions of linear systems, focusing on symmetric positive definite systems. The necessary conditions for Richardson's method are discussed, along with error control and stopping criteria. The lecture also explores the use of estimators for error control and the properties of symmetric positive definite matrices.
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