Abstract
Tensor product and blended interpolants have traditionally been constructed from two commuting univariate interpolation projectors, one in the x and the other in the y-direction. Here we construct analogous interpolants from two families of noncommuting projectors in the two directions. This makes it possible to use interpolation schemes adapted to the data. In particular, we show how weighted splines may be used to form such interpolants of rapidly varying data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
