Based on a Crank-Nicolson-type discretization, Wang and Vong [23] proposed a second-order accuracy formula to approximate the time-fractional derivative and established a compact finite difference scheme for solving the modified anomalous fractional subdiffusion equation.
The new ADI method is based on an extrapolated Crank-Nicolson OSC method and is algebraically linear.
There are presented in this paper the experimentally obtained results based on a simulation of the cranking and overhang of the conveyor belt.
The differences are obviously due to the fact that QLB is based on a LB formulation combined with a Crank-Nicolson average to insure stability while the splitting scheme separates the Dirac equation into different operators which can be integrated exactly.
Gamer, from the guys that brought you Crank, is based on a puzzling premise.
Vertical mixing is treated implicitly by the generalized Crank-Nicolson method based on a Galerkin finite element formulation.
AMD, meanwhile, has struggled to crank out new chips based on a fresh design of its own, dubbed Barcelona, even as it worked to fuse its products with those of graphics chip specialist ATI, which it acquired in 2006 for $5.2 billion in cash and stock.
If the first phase, built in the early 90s, was based on a villagey "Dorset vernacular", this grandiloquent piazza has cranked up the dial to full Greco-Roman.
Like a number of companies cranking out processors for mobile phones, such as Texas Instruments, Samsung's processor is based on a design licensed from Cambridge, U.K.-based ARM.
C versions of programs use the same algorithms as the Fortran ones, involving real- and imaginary-time propagation based on a split-step Crank Nicolson method.
Hybrid versions of programs use the same algorithms as the C ones, involving real- and imaginary-time propagation based on a split-step Crank Nicolson method, but consider only a fully-anisotropic three-dimensional GP equation, where algorithmic complexity for large grid sizes necessitates parallelization in order to reduce execution time and/or memory requirements per node.
