【摘 要】
:
The equation for quantum state particles are derived for non-steady state and steady state.General relativity is completed by deriving the equations for quantum state particles.
论文部分内容阅读
The equation for quantum state particles are derived for non-steady state and steady state.General relativity is completed by deriving the equations for quantum state particles.
其他文献
An iterative/recursive algorithm is studied for recovering unknown sources of acoustic field with multi-frequency measurement data.Under additional regularity assumptions on source functions,the first
The minisymposium has for its objective to explore from the computational perspective extreme,and possibly singular,behavior in various PDE models of fluid flows.Such questions are motivated by the "b
The generalized DeGregorio equation is a 1D model of the 3D Euler equations and Navier-Stokes equations.This equation is obtained by adding an advection term and the viscous dissipation term to the Co
The discovery of pre-salt oil reservoirs in 2006 under the Brazilian seabed gave rise to an important impulse in the collaboration between universities and Petrobras,the leading Brazilian oil company,
With the ultimate goal of designing a scalable parallel preconditioner for reservoir simulation problems,we combine domain decomposition ideas(prove suitable for parallelization)with incomplete factor
A parallel implementation of the preconditioner AINV for the solution of general sparse linear systems of equations is presented.This preconditioner computes an explicit sparse approximate inverse who
We study some properties of compact-continuous mappings,which are related to function space theory.
We give an existence result of entropy and renormalized solutions for strongly nonlinear elliptic equations in the framework of Sobolev spaces with variable exponents of the type:-div(a(x,u,▽u)+φ(u))+
This poster is concerns the diffusive Leslie-Gower predator-prey system with ratio dependent Holling type III functional response subject to Neumann boundary conditions.
The implementation of adjoint models for nonlinear,time-dependent models is notoriously challenging.dolfin-adjoint solves this problem by automatically analyzing the high-level mathematical structure