Results 31 to 40 of about 5,274,554 (287)

Configuring Artificial Neural Networks for stock market predictions

Technological and Economic Development of Economy, 2014
Making accurate predictions for stock market values with advanced non-linear methods creates opportunities for business practitioners, especially nowadays, with highly volatile stock market evolutions.
Gheorghe Ruxanda, Laura Maria Badea
doaj   +1 more source

Viscoelastic modulus reconstruction using time harmonic vibrations [PDF]

, 2014
This paper presents a new iterative reconstruction method to provide high-resolution images of shear modulus and viscosity via the internal measurement of displacement fields in tissues.
Ammari, Habib, Seo, Jin Keun, Zhou, Liangdong   +2 more
core   +4 more sources

First-Principles Calculation of Third-Order Elastic Constants via Numerical Differentiation of the Second Piola-Kirchhoff Stress Tensor.

Physical Review Letters, 2018
A general method is presented to calculate from first principles the full set of third-order elastic constants of a material of arbitrary symmetry. The method here illustrated relies on a plane-wave density functional theory scheme to calculate the ...
Tengfei Cao, David Cuffari, A. Bongiorno
semanticscholar   +1 more source

Research on the accuracy characteristics of methods for numerical differentiation and integration of measurement signals about motion parameters

Технічна інженерія
The article presents an assessment of the accuracy characteristics of the methods of numerical differentiation and integration used in a computerized device for measuring the parameters of the motion of objects.
Yu.O. Podchashynskyi, O.O. Luhovykh
doaj   +1 more source

Functional programming framework for GRworkbench

, 2007
The software tool GRworkbench is an ongoing project in visual, numerical General Relativity at The Australian National University. Recently, the numerical differential geometric engine of GRworkbench has been rewritten using functional programming ...
Andrew J. Moylan, Antony C. Searle, B.J.K. Evans, M. Karim, Susan M. Scott   +4 more
core   +1 more source

Innovative Demodulation Scheme for Coherent Detectors in CMB Experiments

, 2012
We propose an innovative demodulation scheme for coherent detectors used in cosmic microwave background polarization experiments. Removal of non-white noise, e.g., narrow-band noise, in detectors is one of the key requirements for the experiments.
Chinone, Y., Hasegawa, M., Hazumi, M., Ishidoshiro, K., Nagai, M., Tajima, O.   +5 more
core   +1 more source

Gaussian process regression to accelerate geometry optimizations relying on numerical differentiation.

Journal of Chemical Physics, 2018
We study how with means of Gaussian Process Regression (GPR) geometry optimizations, which rely on numerical gradients, can be accelerated. The GPR interpolates a local potential energy surface on which the structure is optimized.
Gunnar Schmitz, O. Christiansen
semanticscholar   +1 more source

Functional Inequalities Involving Numerical Differentiation Formulas of Order Two [PDF]

, 2016
We write expressions connected with numerical differentiation formulas of order 2 in the form of Stieltjes integral, then we use Ohlin lemma and Levin–Stechkin theorem to study inequalities connected with these expressions.
T. Szostok
semanticscholar   +1 more source

Applications of Fractional Differentiation Matrices in Solving Caputo Fractional Differential Equations

Fractal and Fractional, 2023
This paper pursues obtaining Jacobi spectral collocation methods to solve Caputo fractional differential equations numerically. We used the shifted Jacobi–Gauss–Lobatto or Jacobi–Gauss–Radau quadrature nodes as the collocation points and derived the ...
Zhongshu Wu, Xinxia Zhang, Jihan Wang, Xiaoyan Zeng   +3 more
doaj   +1 more source

Adaptive meshless centres and RBF stencils for Poisson equation [PDF]

, 2011
We consider adaptive meshless discretisation of the Dirichlet problem for Poisson equation based on numerical differentiation stencils obtained with the help of radial basis functions. New meshless stencil selection and adaptive refinement algorithms are
Babuska, Benito, Boyd, Buhmann, Cecil, Dang Thi Oanh, Davydov, Davydov, Davydov, Davydov, Ding, Du, Duarte, Fasshauer, Floater, Idelsohn, Iske, Jensen, Kamruzzaman, Lee, Liszka, Liszka, Liu, Liu, Lu, Löhner, Melenk, Mitchell, Nguyen, Oleg Davydov, Oñate, Perazzo, Rabczuk, Schaback, Schönauer, Seibold, Shen, Shu, Tolstykh, Wendland, Wright   +40 more
core   +1 more source