区域分解算法是在并行机上求解偏微分方程数值解的一种方法。
The domain decomposition is a numerically approximating solution to partial differential equations on parallel computers.
采用交替方向隐式算法求解偏微分方程。
The partial differential equation is solved by Alternating Direction Implicit algorithm.
采用交替方向隐式算法求解偏微分方程。
Its partial derivative equation is solved by alternating direction implicit algorithm.
利用一种求偏微分方程的新方法蒙特卡罗算法通过不规则网格随机游动来求解大体积混凝土稳定温度场。
In this paper, the problem of mass concrete steady thermal field was solved by using Monte Carlo method with irregular grid random walk.
建立了对拉普拉斯偏微分方程求解的混合并行算法，并在HL - 2 A高性能计算系统上同纯mpi算法作了性能方面的比较。
Designed a hybrid parallel algorithm of Laplace's equation, and compared its performance with pure MPI algorithm on the HL-2A high performance computing system.
认为局部隐式有限元法是一种绝对稳定的方法，且具有快速收敛的性质，是求解非线性偏微分方程的一种有效的数值算法。
Locally implicit finite element method is a satisfactory numerical method to solve non-linear partial differential equations for its unconditional stability and its high rate of convergence.
研究了基于MOSFET偏微分方程(PDE)模型的电路仿真算法，并提出一种求解pde的快速算法。
In this paper, we present a circuit simulation algorithm based on the partial differential equation (PDE) model of MOSFETs, together with a fast algorithm for solving the PDE.
该算法不需要大量的纹理匹配计算和复杂的偏微分方程求解，易于理解和实现。
The presented algorithm avoids both the expensive computation of texture matching and the time-consuming solving of complicated PDEs, and therefore is easy to understand and implement.
此外，本文还在附录里介绍了求解偏微分方程的傅立叶变换法，以及TPM和CTPM中的相关数值算法。
In addition, the Fourier transform method for solving PDE is introduced in Appendix, as well as the numerical algorithm used in the TPM and CTPM.
该算法不需要大量的纹理匹配计算和复杂的偏微分方程求解，易于理解和实现。
Our algorithm avoids both the expensive computations of texture matching and the time-consuming solutions of complicated PDEs, and therefore is easy to understand and implement.
利用粒子群算法求解偏微分方程反问题是本文的研究重点。
This paper analyzes the study of particle swarm optimization algorithm in optimization applications, in particular the application of function optimization.
利用粒子群算法求解偏微分方程反问题是本文的研究重点。
This paper analyzes the study of particle swarm optimization algorithm in optimization applications, in particular the application of function optimization.
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