Iteration is a numerical method used to approximate solutions to equations where analytical derivation is impossible or inefficient. The process requires rearranging an equation f(x)=0 into the form x=g(x) to generate a sequence of approximations via the recursive formula x_{n+1} = g(x_n). Mastery involves executing recursive algorithms, analyzing convergence through cobweb and staircase diagrams, and verifying roots using sign-change intervals. Candidates must rigorously apply accuracy bounds to justify the precision of the final solution.
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