2017
DOI: 10.1007/s10444-016-9509-5
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A family of non-oscillatory 6-point interpolatory subdivision schemes

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Cited by 9 publications
(13 citation statements)
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“…For linear stationary subdivision schemes, Lipschitz stability is a consequence of convergence, but this is not the case for nonlinear subdivision [1,5,16]. Some theory was developed and successfully applied on several instances [1,3,5,7,9,17].…”
Section: Stability and Approximation Ordermentioning
confidence: 99%
See 2 more Smart Citations
“…For linear stationary subdivision schemes, Lipschitz stability is a consequence of convergence, but this is not the case for nonlinear subdivision [1,5,16]. Some theory was developed and successfully applied on several instances [1,3,5,7,9,17].…”
Section: Stability and Approximation Ordermentioning
confidence: 99%
“…However, as in section 7, we shall be able to prove stability for a conveniently restricted class of strictly monotone data. For such data, the order of approximation can be obtained by the usual, Taylor-like, one-step approximation results [9]. 8.1.…”
Section: Stability and Approximation Ordermentioning
confidence: 99%
See 1 more Smart Citation
“…A subdivision scheme is convergent if this process converges to a continuous function. See for instance [4,9,10].…”
Section: Interpolatory Prediction Operatorsmentioning
confidence: 99%
“…Figure 1 shows a sketch of recurrence (9). It has a simple interpretation: On one hand, if |d k−1 j | < ε k , then a 'small' prediction error indicates that P k k−1 approximates well the function at ξ k 2 j+1 ; thus P k+1 k may also provide a good approximation at ξ k+1 2i+1 , i ∈ {2 j, 2 j + 1}, and we do not need to evaluate f at these points.…”
Section: The Truncation and Encode Approachmentioning
confidence: 99%