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An algorithm for constructing a class of orthogonal vector-valued wavelets with compact support is proposed.
Second we propose an algorithm for constructing a class of compactly supported orthogonal multiple vector-valued wavelets.
While the FFT-based fast application of integral operators and the BI-CGSTAB for the solution of linear systems are fairly standard, a large part of this paper is devoted to constructing a class of high-order quadrature formulae applicable to a wide range of singular functions in two and three dimensions; these are used to obtain rapidly convergent discretizations of Lippmann Schwinger equations.
By using the relationship between orthogonal arrays and decompositions of projection matrices and projection matrix inequalities, we present a method for constructing a class of new orthogonal arrays which have higher percent saturations.
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In this paper, we introduce a new method for constructing a class-based output layer using the Brown clustering algorithm.
As a consequence we construct a class of nonlinear Markov semigroup which are hypercontractive.
First, we construct a class of function spaces and derive basic properties of their basis functions.
In this paper, we have constructed a class of Weyl Titchmarsh matrix-functions generating potentials of finite-zone type.
Moreover, we construct a class of singular spectral measures in Qp, some of which are self-similar measures.
We construct a class of minimal trees and use these trees to establish a number of coloring theorems on general trees.
We constructed a class of four-zigzag-edged parallelogram-shaped cutting graphenes as scattering region, forming an angle of 60° with electrodes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com