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Piecewise mini-max polynomail approximation to a function of a function13;

BN Sur, Shanthi Kaliyil Janardhan

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Abstract

The conventional least-square approximation was also13; applied to the same problem. But by actual computation it13; was found that relative error in approximating the function13; by least-square approximation was too high to be compared13; with that in approximating the function by minimax approximation. This guides us to apply the minimax approximation to the problem.

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What this paper is about

The conventional least-square approximation was also13; applied to the same problem. But by actual computation it13; was found that relative error in approximating the function13; by least-square approximation was too high to be compared13; with that in approximating the function by minimax approximation. This guides us to apply the minimax approximation to the problem.

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Available abstract

The conventional least-square approximation was also13; applied to the same problem. But by actual computation it13; was found that relative error in approximating the function13; by least-square approximation was too high to be compared13; with that in approximating the function by minimax approximation. This guides us to apply the minimax approximation to the problem.

Key concepts: Minimax approximation algorithm, Minimax, Approximation error, Function approximation, Spouge's approximation, Mathematics, Piecewise, Approximation algorithm

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