... 计算几何 Geometric Computation 微分方程式求解 Differential Equation Solving 机器学习 Machine Learning ...
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The sum formulas of several kinds of ordinary series with function term are deduced by using the method of solving linear differential equation.
本文试应用求解一阶线性微分方程的方法导出几类常见的函数项级数的求和公式。
The results are same to those got by solving differential equation definite conditions problem.
这一结果与通过求解微分方程定解问题得到的结果是完全一致的。
The differential model not has model error. Solving the differential equation has rounding error.
微分模型没有模型误差,微分方程的求解存在舍入误差。
You won't have to solve it in this class, you can wait till you get to 18.03 to start solving these types of differential equations, and hopefully, you'll all want the pleasure of actually solving the Schrodinger equation at some point. So, just keep taking chemistry, 18 03 you'll already have had 18.03 by that point and you'll have the opportunity to do that.
你们不用在课堂上就解它,你们可以等到得到18,03之后,再开始解这些类型的微分方程,希望你们都想得到,实际解薛定谔方程的乐趣,所以,保持来上化学课,你们在那个点将会得到,你们有机会做到的。
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