Generally, to nonlinear problem, gradient-based method is faster than simple method, and may improve efficiency due to using conjugatevariables to calculate object function value.
梯度法对许多非线性问题均具有较好的性能，计算目标函数可以使用新的共轭变量法，有望显著提高寻优效率。
2
The Heisenberg uncertainty principle is a fundamental principle of nature, and applies to the calculations of other conjugate pairs of variables, such as energy and time.
海森堡测不准原理是一项基本自然法则，可运用到计算其它变量的共轭对上，比如能量和时间。
3
The idea of conjugate gradient path in unconstrained optimization irradiates us to use this method for solving the linear equality optimization subject to bounds on variables.