Conjugate directions refer to a set of vectors that are mutually orthogonal with respect to a given inner product, and are particularly useful in optimization algorithms. In the context of solving linear systems, the method utilizes these directions to ensure that the search for solutions progresses efficiently, minimizing the error at each iteration while avoiding redundant calculations.
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