Results 81 to 90 of about 670,956 (337)
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov +4 more
wiley +1 more source
Numerical Solution of the Two-Phase Obstacle Problem by Finite Difference Method [PDF]
In this paper we consider the numerical approximation of the two-phase membrane (obstacle) problem by finite difference method. First, we introduce the notion of viscosity solution for the problem and construct certain discrete nonlinear approximation ...
Arakelyan, Avetik +2 more
core +2 more sources
The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation [PDF]
Dielan Hu +3 more
openalex +1 more source
An Algorithm for Minimax Approximation in the Nonlinear Case [PDF]
are now well understood. In particular the equivalence of (i) with a linear programming problem permits its solution under very general conditions (see, for example, Kelley (1959), Stiefel (1960), Rice (1964), Osborne and Watson (1967, 1968)). In this paper, we consider the solution of the corresponding nonlinear minimax approximation problems, by ...
Michael R. Osborne, G. Alistair Watson
openaire +2 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Interaction between the elements characterizing the forced and parametric excitations
In nonlinear systems, the first order of smallness terms of nonresonance forced and parametric excitations have no effect on the oscillation in the first an approximation. However, they do interact one with another in the second approximation.
Nguyen Van Dao
doaj +1 more source
Weighted Thresholding and Nonlinear Approximation
We present a new method for performing nonlinear approximation with redundant dictionaries. The method constructs an $m-$term approximation of the signal by thresholding with respect to a weighted version of its canonical expansion coefficients, thereby ...
Nielsen, Morten, Ottosen, Emil Solsbæk
core
Regular Families of Kernels for Nonlinear Approximation
This article studies sufficient conditions on families of approximating kernels which provide $N$--term approximation errors from an associated nonlinear approximation space which match the best known orders of $N$--term wavelet expansion.
Hamm, Keaton, Ledford, Jeff
core +1 more source
Gaussian approximation of nonlinear statistics on the sphere
We show how it is possible to assess the rate of convergence in the Gaussian approximation of triangular arrays of $U$-statistics, built from wavelets coefficients evaluated on a homogeneous spherical Poisson field of arbitrary dimension. For this purpose, we exploit the Stein-Malliavin approach introduced in the seminal paper by Peccati, Solé, Taqqu ...
Bourguin, Solesne +3 more
openaire +7 more sources
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source

