Titlebook: Mathematical Methods for Curves and Surfaces; 9th International Co Michael Floater,Tom Lyche,Larry L. Schumaker Conference proceedings 2017

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书目名称Mathematical Methods for Curves and Surfaces影响因子(影响力)




书目名称Mathematical Methods for Curves and Surfaces影响因子(影响力)学科排名




书目名称Mathematical Methods for Curves and Surfaces网络公开度




书目名称Mathematical Methods for Curves and Surfaces网络公开度学科排名




书目名称Mathematical Methods for Curves and Surfaces被引频次




书目名称Mathematical Methods for Curves and Surfaces被引频次学科排名




书目名称Mathematical Methods for Curves and Surfaces年度引用




书目名称Mathematical Methods for Curves and Surfaces年度引用学科排名




书目名称Mathematical Methods for Curves and Surfaces读者反馈




书目名称Mathematical Methods for Curves and Surfaces读者反馈学科排名

Statins

,Coefficient–Based Spline Data Reduction by Hierarchical Spaces,re any pointwise evaluation to approximate (in a lower dimension spline space) a given bivariate B–spline function. In order to define an accurate approximation of the target spline with a significant reduction of the space dimension, this operator is subsequently combined with the hierarchical spli

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MAUVE

Machinability of Surfaces via Motion Analysis,s or cutting parameters but instead reflect an ability to replicate a desired tool path motion with sufficient control of the material removal process. Without this control there is a potential for surface defects and costly finishing stages..Five-axis CNC milling machines are commonly used for mach

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缝纫

Partially Nested Hierarchical Refinement of Bivariate Tensor-Product Splines with Highest Order Smo to sequences formed by spaces that are only partially nested. This enables us to choose from a greater variety of refinement options while constructing the underlying grid. We identify assumptions that allow to define a hierarchical spline basis, to establish a truncation mechanism, and to derive a

富饶

Regression Analysis Using a Blending Type Spline Construction,s to predict the behavior of dependent variables with higher accuracy, and to propose a more precise data generation hypothesis..By using polynomial approximation for big data sets with complex dependencies we get . smooth functions. One way to obtain a smooth spline representation of an entire data

Pageant

On the Coupling of Decimation Operator with Subdivision Schemes for Multi-scale Analysis,cimation operators, they generate multi-scale transforms largely used in signal/image processing [., .] that generalize the multi-resolution analysis/wavelet framework [.]. The flexibility of subdivision schemes (a subdivision scheme can be non-stationary, non-homogeneous, position-dependent, interp

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