Results 61 to 70 of about 20,661 (163)

Mixed interpolating–smoothing splines and the ν-spline

Journal of Mathematical Analysis and Applications, 2006
Let \(X\), \(Y\), \(Z_{1}\) and \(Z_{2}\) be Hilbert spaces with inner products \(\langle\;,\;\rangle_{X}\), \(\langle\;,\;\rangle_{Y}\), \(\langle\;,\;\rangle_{Z_{1}}\) and \(\langle\;,\;\rangle_{Z_{2}}\) respectively, and let \(T:X\rightarrow Y\), \(\Lambda _{1}:X\rightarrow Z_{1}\), \(\Lambda _{2}:X\rightarrow Z_{2}\) and \(\pi :Z_{2}\rightarrow Z_ ...
openaire   +2 more sources

Spline and Demand: A Profession Interpolates

, 2012
The increase and profusion of flavors of data librarianship, in the forms of service, management, curation and visualization have left many of the current data librarians wondering: what's the difference? Did the name of the profession get coopted to something brand new? Or are these "new breed" data librarians remixing or rebranding skills that social
Jennifer A. Green, Joel Herndon
openaire   +2 more sources

Convexity preserving interpolation by splines of arbitrary degree [PDF]

Computer Science Journal of Moldova, 2010
In the present paper an algorithm of $C^{2}$ interpolation of discrete set of data is given using splines of arbitrary degree, which preserves the convexity of given set of data.
Igor Verlan
doaj  

Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models

Frontiers in Neuroinformatics
IntroductionA challenge when applying an artificial intelligence (AI) deep learning (DL) approach to novel electroencephalography (EEG) data, is the DL architecture's lack of adaptability to changing numbers of EEG channels.
Thomas Tveitstøl, Thomas Tveitstøl, Mats Tveter, Mats Tveter, Ana S. Pérez T., Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazidi, Hugo L. Hammer, Hugo L. Hammer, Ira R. J. Hebold Haraldsen   +10 more
doaj   +1 more source

Simulation of Nonstationary Fluctuating Wind Fields Using POD Decoupling and Spline Interpolation

Buildings
Improving the simulation efficiency of the spectral representation method (SRM) for nonstationary fluctuating wind fields has attracted considerable attention.
Junfeng Zhang, Yuhang Xia, Ningbo Liu, Zheng Liu, Jie Li   +4 more
doaj   +1 more source

Interpolation mit regulären splines

Journal of Approximation Theory, 1977
AbstractThis paper is concerned with interpolation of real functions on compact intervals by nonlinear splines called regular splines introduced by R. Schaback and H. Werner. Regular splines contain the classical polynomial splines and represent a more flexible class; for example in the neighborhood of singularities one can use rational splines.
openaire   +2 more sources

Application of the Spline Interpolation in Simulating the Distribution of Phytoplankton in a Marine NPZD Type Ecosystem Model. [PDF]

Int J Environ Res Public Health, 2019
Li X, Zheng Q, Lv X.
europepmc   +1 more source

Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging. [PDF]

Tomography, 2019
Enjilela E, Lee TY, Wisenberg G, Teefy P, Bagur R, Islam A, Hsieh J, So A.   +7 more
europepmc   +1 more source

Motion artifact detection and correction in functional near-infrared spectroscopy: a new hybrid method based on spline interpolation method and Savitzky-Golay filtering. [PDF]

Neurophotonics, 2018
Jahani S, Setarehdan SK, Boas DA, Yücel MA.   +3 more
europepmc   +1 more source

Multilevel summation with B-spline interpolation for pairwise interactions in molecular dynamics simulations. [PDF]

J Chem Phys, 2016
Hardy DJ, Wolff MA, Xia J, Schulten K, Skeel RD.   +4 more
europepmc   +1 more source