论文标题
交替的下降方法，用于衡量复杂兰格文模拟的冷却
Alternating Descent Method for Gauge Cooling of Complex Langevin Simulations
论文作者
论文摘要
我们研究了用于晶格量子染色体动力学计算的复杂兰格文方法的量规冷却技术。我们提出了一个最小化问题的新求解器，该问题优化了量规，该量规不包含每次迭代中的任何参数，并且比经典的梯度下降方法显示出更好的性能，尤其是当晶格大小较大时。进行了两次数值测试以显示新算法的有效性。
We study the gauge cooling technique for the complex Langevin method applied to the computation in lattice quantum chromodynamics. We propose a new solver of the minimization problem that optimizes the gauge, which does not include any parameter in each iteration, and shows better performance than the classical gradient descent method especially when the lattice size is large. Two numerical tests are carried out to show the effectiveness of the new algorithm.
