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Iterative methods for linear equations and least squares.
Iterative methods are approximate methods that create a sequence of approximating solutions of increasing accuracy.
Iterative methods are quite robust against quantization and additive noise.
Iterative methods play an important role in solving variational inequalities.
Iterative methods were used by Japanese mathematician Yasumasa Kanada to set several records for computing between 1995 and 2002.
Solving such models often requires the use of iterative methods, like time iteration or dynamic programming.
We then discuss some iterative methods that can be used to improve the Newton iterations.
5.3 Basic iterative methods.
5.5 Advanced iterative methods.
Direct and iterative methods for linear systems.
5.4 Convergence analysis of classical iterative methods.
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