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First, the non-uniform rational B-splines (NURBS) free form deformation method based on NURBS basis function is introduced to the airfoil parameterization.
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For determining the coefficients of the general solution, a special system of piecewise smooth basis functions is introduced.
In this paper, a set of partial shape-preserving (PSP) spline basis functions is introduced to smoothly combine a collection of shape primitives with flexible blending range control.
Here, a neural network approach, based on radial basis functions, is introduced to alleviate this problem by providing computationally inexpensive estimates of objective values during the search.
A new meshfree method based on a discrete transformation of Green's basis functions is introduced to simulate Poisson problems with complex morphologies.
To avoid the potential distortion problem in curve and surface design, a set of improved basis functions is introduced to construct interpolatory curves and surfaces passing through given data points.
Hyperbolic basis functions are introduced to represent the intraparticle profiles; compact solutions are thus obtained both in the presence and absence of fast reactions.
The multiquadric (MQ) RBF interpolation method was introduced by Hardy in 1971 [11] and the method of meshless radial basis functions was introduced by Kansa for solving differential equations in 1990 [14 , 15.
In the second part, a consumption time function is introduced.
The small gyroscopic function and damping function are introduced.
The bromomethyl ketone function was introduced as described previously [30].
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CEO of Professional Science Editing for Scientists @ prosciediting.com