Results 301 to 310 of about 3,685,749 (356)
Some of the next articles are maybe not open access.

Variational Physics-informed Neural Operator (VINO) for solving partial differential equations

Computer Methods in Applied Mechanics and Engineering
Solving partial differential equations (PDEs) is a required step in the simulation of natural and engineering systems. The associated computational costs significantly increase when exploring various scenarios, such as changes in initial or boundary ...
M. Eshaghi   +5 more
semanticscholar   +1 more source

DEGENERATING ELLIPTIC DIFFERENTIAL AND PSEUDO-DIFFERENTIAL OPERATORS

Russian Mathematical Surveys, 1970
The present paper is a survey of some results concerning higher-order elliptic differential operators which degenerate on the boundary of a domain. The principal aspect in the study of such operators is that of investigating the corresponding ordinary equations with parameters which degenerate at a single point.
Vishik, M. I., Grushin, V. V.
openaire   +1 more source

Boundary Value Problems, Weyl Functions, and Differential Operators

Monographs in Mathematics, 2020
J. Behrndt, S. Hassi, H. Snoo
semanticscholar   +1 more source

Differential Operators and Differential Modules

2003
In this chapter k is a differential field such that its subfield of constants C is different from k and has characteristic 0. The skew (i.e., noncommutative) ring D :=k[∂] consists of all expressions L :=a n ∂ n + ⋯ + a1∂ + a0 dot with n ∈ Z, n ≥ 0 and all a i ∈ k. These elements L are called differential operators.
Marius van der Put, Michael F. Singer
openaire   +1 more source

Differentiation of Operators

2003
This chapter is essentially a brief introduction to non-linear functional analysis. First, we define the Gâteaux and Frechet derivatives of generally non-linear operators between linear vector spaces and we investigate their properties in some considerable detail.
openaire   +1 more source

Home - About - Disclaimer - Privacy