Results 21 to 30 of about 1,215,494 (273)

Numerical solutions of the one-dimensional nucleon-meson cascade equations [PDF]

, 1964
Numerical integration of meson-nucleon cascade equations for accelerator shielding ...
Alsmiller, R. G., Jr., Barish, J., Murphy, J. E.   +2 more
core   +3 more sources

Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses

Entropy, 1999
: A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its
Julio Michael Stern, Carlos Alberto de Bragança Pereira   +1 more
doaj   +1 more source

Evaluation of Static Potential Integrals on Triangular Domains

IEEE Access, 2020
Static potential integrals for constant and linear sources on triangles are derived in a straightforward way. The new representations, as presented, are robust with respect to machine evaluation in important limiting cases.
Donald R. Wilton, Javier Rivero, William A. Johnson, Francesca Vipiana   +3 more
doaj   +1 more source

Estimation with Numerical Integration on Sparse Grids [PDF]

, 2006
For the estimation of many econometric models, integrals without analytical solutions have to be evaluated. Examples include limited dependent variables and nonlinear panel data models.
Heiss, Florian, Winschel, Viktor
core   +2 more sources

Integrating rotation from angular velocity [PDF]

, 2011
\ud The integration of the rotation from a given angular velocity is often required in practice. The present paper explores how the choice of the parametrization of rotation, when employed in conjuction with different numerical time-integration schemes ...
Ahmed, Argyris, Atluri, Bathe, Bogacki, Bortz, Bottasso, Bottasso, Brank, Butcher, Choe, Crisfield, Dormand, Eva Zupan, Evans, Friendland, Gerald, Ghosh, Ibrahimbegović, Ibrahimbegović, Ibrahimbegović, Jelenić, Jelenić, Jiang, Johnson, Miran Saje, Mortensen, Poreous, Romero, Romero, Rudin, Shoemake, Simo, Simo, Simo, Spurrier, Ward, Zupan, Zupan, Zupan   +39 more
core   +2 more sources

Tracking fluctuating targets in extremely heterogeneous clutter using amplitude information

The Journal of Engineering, 2019
This study analyses the radar fluctuating target detection in G(0)-distributed clutter using dynamic programming – track before detect (DP-TBD) algorithm. G(0)-distributed clutter is often used to fit the complex circumstances. The authors use chi-square
Feng Li, Bangsheng Zhuo, Xiangjun Peng, Miaomiao Cheng, Di Yao   +4 more
doaj   +1 more source

A numerical integration-based Kalman filter for moderately nonlinear systems

Tellus: Series A, Dynamic Meteorology and Oceanography, 2020
This paper introduces a computationally efficient data assimilation scheme based on Gaussian quadrature filtering that potentially outperforms current methods in data assimilation for moderately nonlinear systems.
Sarah A. King, Kazufumi Ito, Daniel Hodyss   +2 more
doaj   +1 more source

Numerical integration of variational equations

, 2010
We present and compare different numerical schemes for the integration of the variational equations of autonomous Hamiltonian systems whose kinetic energy is quadratic in the generalized momenta and whose potential is a function of the generalized ...
A. J. Lichtenberg, A. Liapounoff, A. M. Lyapunov, Ch. Skokos, D. D. Carpintero, E. Gerlach, E. Hairer, E. Hairer, G. Benettin, T. Manos, T. Manos, V. I. Oseledec, W. H. Press   +12 more
core   +1 more source

Feedback Integrators for Mechanical Systems with Holonomic Constraints

Sensors, 2022
The feedback integrators method is improved, via the celebrated Dirac formula, to integrate the equations of motion for mechanical systems with holonomic constraints so as to produce numerical trajectories that remain in the constraint set and preserve ...
Dong Eui Chang, Matthew Perlmutter, Joris Vankerschaver   +2 more
doaj   +1 more source

Taylor Polynomials in a High Arithmetic Precision as Universal Approximators

Computation
Function approximation is a fundamental process in a variety of problems in computational mechanics, structural engineering, as well as other domains that require the precise approximation of a phenomenon with an analytic function. This work demonstrates
Nikolaos Bakas
doaj   +1 more source