Interpolation of Marcinkiewicz spaces.
For each non-negative concave function \(\phi\) (t), the Marcinkiewicz space \(M_{\phi}\) consists of all measurable functions f such that \((\phi (t))^{-1}\int^{t}_{0}f^*(s)ds\leq C\) for all \(t>0\) and some constant C. Interpolation spaces with respect to couples \((M_{\phi_ 0},M_{\phi_ 1})\) of such spaces are considered.
Cwikel, Michael, Nilsson, Per
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Matrix-interpolation-based parametric model order reduction for multiconductor transmission lines with delays [PDF]
A novel parametric model order reduction technique based on matrix interpolation for multiconductor transmission lines (MTLs) with delays having design parameter variations is proposed in this brief.
Dhaene, Tom +2 more
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Generalized Interpolation Spaces [PDF]
In this paper we introduce the notion of “generalized” interpolation space, and state and prove a “generalized” interpolation theorem. This apparently provides a foundation for an axiomatic treatment of interpolation space theory, for subsequently we show that the “mean” interpolation spaces of Lions-Peetre, the “complex” interpolation spaces of A.
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Soil parameters in terms of entropy coordinates [PDF]
In the ongoing research, an approximate, grading entropy based, advanced interpolation method is applied to establish empirical functions between the grading curves and the model parameters of sands. The space of the grain size distribution curves with N
Imre Emőke +6 more
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Generalization of the Kimeldorf-Wahba correspondence for constrained interpolation [PDF]
In this paper, we extend the correspondence between Bayes' estimation and optimal interpolation in a Reproducing Kernel Hilbert Space (RKHS) to the case of linear inequality constraints such as boundedness, monotonicity or convexity. In the unconstrained
Bay, Xavier +2 more
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Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management.
Seungwoog Jung, Seungwan Han, Hoon Choi
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Interpolating Strange Attractors via Fractional Brownian Bridges
We present a novel method for interpolating univariate time series data. The proposed method combines multi-point fractional Brownian bridges, a genetic algorithm, and Takens’ theorem for reconstructing a phase space from univariate time series data. The
Sebastian Raubitzek +3 more
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Interpolating Industrial Robot Orientation with Hermite Spline Curve Based on Logarithmic Quaternion
Smooth orientation planning has an important influence on the working quality and service life as for industrial robot. Based on the logarithmic quaternion, a compact method to map a spline curve from Cartesian space to quaternion space is proposed, and ...
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Application of a four-dimensional space fractal interpolation algorithm in grade estimation
Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information.
HU Nai-lian +3 more
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Intraoperative Data-Based Haptic Feedback for Arthroscopic Partial Meniscectomy Punch Simulation
The use of intraoperative tool-tissue interaction data for arthroscopic digital twins has the potential to enhance haptic feedback in surgical simulations.
Oystein Bjelland +3 more
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