Results 41 to 50 of about 491,104 (287)

Guaranteed passive parameterized admittance-based macromodeling [PDF]

, 2010
We propose a novel parametric macromodeling technique for admittance and impedance input-output representations parameterized by design variables such as geometrical layout or substrate features. It is able to build accurate multivariate macromodels that
Dhaene, Tom, Ferranti, Francesco, Knockaert, Luc   +2 more
core   +2 more sources

Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data

Information, 2018
Clustering algorithms in the high-dimensional space require many data to perform reliably and robustly. For multivariate volume data, it is possible to interpolate between the data points in the high-dimensional attribute space based on their spatial ...
Vladimir Molchanov, Lars Linsen
doaj   +1 more source

Local uniform convexity and Kadec-Klee type properties in K-interpolation spaces I: General Theory

Journal of Function Spaces and Applications, 2004
We present a systematic study of the interpolation of local uniform convexity and Kadec-Klee type properties in K-interpolation spaces. Using properties of the K-functional of J.Peetre, our approach is based on a detailed analysis of properties of a ...
Peter G. Dodds, Theresa K. Dodds, Alexander A. Sedaev, Fyodor A. Sukochev   +3 more
doaj   +1 more source

Characterization of interpolation between Grand, small or classical Lebesgue spaces

, 2017
In this paper, we show that the interpolation spaces between Grand, small or classical Lebesgue are so called Lorentz-Zygmund spaces or more generally $G\Gamma$-spaces. As a direct consequence of our results any Lorentz-Zygmund space $L^{a,r}({\rm Log}\,
Fiorenza, Aberto, Formica, Maria Rosaria, Gogatishvili, Amiran, Kopaliani, Tengiz, Rakotoson, Jean Michel   +4 more
core   +1 more source

Space-Time Transfinite Interpolation of Volumetric Material Properties [PDF]

, 2014
The paper presents a novel technique based on extension of a general mathematical method of transfinite interpolation to solve an actual problem in the context of a heterogeneous volume modelling area.
Adzhiev, Valery, Comninos, Peter, Fryazinov, Oleg, Pasko, Alexander, Sanchez, Mathieu   +4 more
core   +1 more source

Space-Time Interpolants [PDF]

, 2018
Reachability analysis is difficult for hybrid automata with affine differential equations, because the reach set needs to be approximated. Promising abstraction techniques usually employ interval methods or template polyhedra. Interval methods account for dense time and guarantee soundness, and there are interval-based tools that overapproximate affine
Goran Frehse, Mirco Giacobbe, Thomas A. Henzinger   +2 more
openaire   +1 more source

Formulas for Kp–functional for some pairs of finite-dimensional spaces

Вестник Самарского университета: Естественнонаучная серия
This article discusses the question of the exact formula for K–functional for a pair (λn1 (ω), ln∞(h)) and the equivalent formula for Kp–functional for a pair (λnp(ω), ln∞(h)).
V. A. Buryy, R. F. Uzbekov
doaj   +1 more source

Interpolation of Ces{\`a}ro sequence and function spaces

, 2012
The interpolation property of Ces{\`a}ro sequence and function spaces is investigated. It is shown that $Ces_p(I)$ is an interpolation space between $Ces_{p_0}(I)$ and $Ces_{p_1}(I)$ for $1 < p_0 < p_1 \leq \infty$ and $1/p = (1 - \theta)/p_0 + \theta ...
Astashkin, Sergey V., Maligranda, Lech
core   +2 more sources

Operator theory and function theory in Drury-Arveson space and its quotients [PDF]

, 2014
The Drury-Arveson space $H^2_d$, also known as symmetric Fock space or the $d$-shift space, is a Hilbert function space that has a natural $d$-tuple of operators acting on it, which gives it the structure of a Hilbert module.
A Arias, A Arias, A Athavale, A Athavale, A Beurling, A Volberg, AE Frazho, BVR Bhat, C Ambrozie, C Ambrozie, D Alpay, D Alpay, D Alpay, D Sarason, DC Greene, DW Kribs, E Tchoundja, F-H Vasilescu, G Popescu, G Popescu, G Popescu, G Popescu, G Popescu, G Popescu, GM Henkin, J Agler, J Agler, J Arazy, J Eschmeier, J Eschmeier, J Gleason, J Neumann von, JA Ball, JA Ball, JA Ball, JA Ball, JA Ball, JA Ball, JM Ortega, JW Bunce, K Guo, K Guo, KC Lin, KR Davidson, KR Davidson, KR Davidson, KR Davidson, KR Davidson, KR Davidson, L Carleson, L Carleson, M Andersson, M Hartz, M Kennedy, M Kerr, N Arcozzi, NTh Varopoulos, NTh Varopoulos, OM Shalit, OM Shalit, P Quiggin, PD Lax, PR Halmos, PS Muhly, PS Muhly, PS Muhly, Q Fang, Q Fang, RG Douglas, RG Douglas, RG Douglas, S Costea, S McCullough, S McCullough, S Richter, S Treil, SG Krantz, SW Drury, T Andô, TT Trent, V Bolotnikov, V Müller, W Rudin, WB Arveson, WB Arveson, WB Arveson, WB Arveson, WB Arveson, WB Arveson, WB Arveson, WB Arveson, WF Stinespring, X Fang, Z Chen   +93 more
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Scaling up and down of 3-D floating-point data in quantum computation

Scientific Reports, 2022
In the past few decades, quantum computation has become increasingly attractive due to its remarkable performance. Quantum image scaling is considered a common geometric transformation in quantum image processing, however, the quantum floating-point data
Meiyu Xu, Dayong Lu, Xiaoyun Sun
doaj   +1 more source