这种解法在边界条件复杂、物理性质可变、温度梯度巨大……等情况时特别有用。
It seems to be particular useful for the solution of those problems where complex boundary conditions, variable physical properties, large temperature gradients etc. are concerned.
这种解法在边界条件复杂、物理性质可变、温度梯度巨大……等情况时特别有用。
It seems to be particular useful for the solution of those problems where complex boundary conditions, variable physical properties, large temperature...
这种解法在边界条件复杂、物理性质可变、温度梯度巨大……等情况时特别有用。
It seems to be particular useful for the solution of those problems where complex boundary conditions, variable physical properties, large temper...
其运算量仅为基于梯度的可变形块匹配算法（GB-DBMA）的一半，但能得到更好的主客观预测质量，且更易于VLSI硬件实现。
NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality, and is much easier to implement by VLSI.
其运算量仅为基于梯度的可变形块匹配算法（GB-DBMA）的一半，但能得到更好的主客观预测质量，且更易于VLSI硬件实现。
NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality, and is much easier to implement by VLSI.
应用推荐