V. L. Rvachev called R-functions “logically-charged functions ” because they encode complete logical information within the standard setting of real analy-sis. He invented them in the 1960s as a means for unifying logic, geometry, and analysis within a common computational framework – in an effort to develop a new computationally effective language for modeling and solving boundary value problems. Over the last forty years, R-functions have been accepted as a valuable tool in computer graphics, geometric modeling, computational physics, and in many areas of engineering design, analysis, and optimization. Yet, many elements of the theory of R-functions continue to be rediscovered in different application areas and special situations. The pur...
Radial basis functions (RBFs) are constructed in terms of one-dimensional distance variable and appe...
The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such ...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
An R-function is real-valued function characterized by some property that is completely determined b...
Many practical problems of geometric information representation and pattern recognition require spec...
The paper deals with possibility of automation and control of the computational process when using t...
This paper deals with the construction of boundary equations for geometric domains with perforation....
Geometrical representation of real functions of real variables is not merely a helpful means in the ...
This paper introduces the elliptic package of R routines, for numerical calculation of elliptic and ...
AbstractAn attempt has been made to apply the novel R-functions method (RFM) to the linear elastic f...
This paper introduces the elliptic package of R routines, for numerical calculation of elliptic and ...
These lecture notes were inspired mainly by two seminal books on the topic by Holger Wendland [14] a...
htmlabstractThe class of recursive functions over the reals, denoted by REC(R), was introduced by Cr...
Several fields of mathematics deal directly or indirectly with functions: mathematical analysis con...
Radial Basis Functions (RBFs) are a powerful numerical methodology for solving PDEs to high accuracy...
Radial basis functions (RBFs) are constructed in terms of one-dimensional distance variable and appe...
The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such ...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
An R-function is real-valued function characterized by some property that is completely determined b...
Many practical problems of geometric information representation and pattern recognition require spec...
The paper deals with possibility of automation and control of the computational process when using t...
This paper deals with the construction of boundary equations for geometric domains with perforation....
Geometrical representation of real functions of real variables is not merely a helpful means in the ...
This paper introduces the elliptic package of R routines, for numerical calculation of elliptic and ...
AbstractAn attempt has been made to apply the novel R-functions method (RFM) to the linear elastic f...
This paper introduces the elliptic package of R routines, for numerical calculation of elliptic and ...
These lecture notes were inspired mainly by two seminal books on the topic by Holger Wendland [14] a...
htmlabstractThe class of recursive functions over the reals, denoted by REC(R), was introduced by Cr...
Several fields of mathematics deal directly or indirectly with functions: mathematical analysis con...
Radial Basis Functions (RBFs) are a powerful numerical methodology for solving PDEs to high accuracy...
Radial basis functions (RBFs) are constructed in terms of one-dimensional distance variable and appe...
The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such ...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...