Now showing items 341-348 of 348
Analytical and Numerical Studies on the States of Ions and Atoms
(University of Texas at Arlington, 1985)
A speculative model is described which refines and extends the method of Bohr to various atoms and ions which have four or fewer electrons. The results for ground, single, and multiple excited states are of unexpectedly ...
Note on Special Relativistic Calculations with Identical Laboratory and Rocket Frame Computers
(University of Texas at Arlington, 1978-12)
Dynamical relativistic problems invariably require the solution of nonlinear differential equations. These equations are rarely solvable in closed form and are now being solved numerically on modern digital computers. ...
On the Method of Upper and Lower Solutions in Abstract Cones
(University of Texas at Arlington, 1981-02)
Supercomputer Simulation of Cracks and Fractures by Quasimolecular Dynamics
(University of Texas at Arlington, 1989)
The gross physical behavior of solids and liquids is the result of atomic or molecular reactions to external forces. Using molecular dynamics, we can study such reactions in the small, on the molecular level. In quasimolecular ...
Particle Modelling of Combustion
(University of Texas at Arlington, 1990)
Combustion is simulated by a molecular type model using classical molecular type interaction formulas. Supercomputer examples which emphasize turbulent motion are described and discussed.
Classical, Computer Studies of One-Electron and Two-Electron Atoms and Ions
(University of Texas of Arlington, 1991-06)
A geometrical, computer-oriented method is utilized to generate circular orbits of electrons in one-electron and two-electron atoms and ions. The radii of these orbits are defined to be the radii of the atoms or ions. Only ...
Ray Optics on Surfaces
(University of Texas at Arlington, 1997)
Variational techniques are used to find path of light rays on surfaces. Using Fermat's principle of least time the problem is treated as a constraint optimization to obtain a system of partial differential equations.
Absolute Minimization by Supercomputer Computation
(University of Texas at Arlington, 1987)
Numerical methodology is developed for approximating the absolute minimum of a function or a functional. Only simplistic numerical techniques are introduced and explored. CRAY X—MP/24 computer examples are described and discussed.