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Computing systems capable of simultaneously executing a number of tasks may become more important in the future.1 This paper considers an implication of this trend in the field of numerical analysis. We aim to give an informal description of one means whereby parallelism can be produced and exploited. A particular technique for the development of additional parallelism in conventional sequential algorithms (the introduction of redundancy) is illustrated by a discussion of the bisection technique for determining the roots of functions.
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