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Cited by 10 publications
(2 citation statements)
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“…) and S3(xi+2, y) Based on the onevariable cubic spline functions built above, after a certain compression, the following view of the following two-variable interpolation bicubic spline function is formed [4][5][6][7][8]: , y) and S3(xi+2, y) are generated by putting the values of the bicubic spline functions of a variable built above (8) [9,10,11,12,13].…”
Section: Astesj Issn: 2415-6698mentioning
confidence: 99%
“…) and S3(xi+2, y) Based on the onevariable cubic spline functions built above, after a certain compression, the following view of the following two-variable interpolation bicubic spline function is formed [4][5][6][7][8]: , y) and S3(xi+2, y) are generated by putting the values of the bicubic spline functions of a variable built above (8) [9,10,11,12,13].…”
Section: Astesj Issn: 2415-6698mentioning
confidence: 99%
“…And the algorithms derived from them require less computation [5]. Existing classical interpolation models, their application in signal recovery and digital processing algorithms are performed depending on the node points [6], [7]. The construction of classical interpolation polynomials is based on the idea of replacing functions with that are closer to it, in a sense, and simpler in structure [8], [9].…”
Section: Introductionmentioning
confidence: 99%