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What is Conjugate Directions in Optimization about?

This document discusses the conjugate gradient method for optimization. It begins by defining conjugate directions and linear independence. It then discusses the conjugate gradient algorithm and asks the reader to prove several properties about it. Specifically, it asks the reader to: 1) Show that the coefficients relating the current solution to the optimal solution can be expressed in terms of the conjugate direction vectors. 2) Prove that the residual vector is orthogonal to previous conjugate directi

Author

danieldemelashalem

Language

EN