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Problem in maths is a software program that helps students solve math problems. Therefore, the goal of elite training is to cultivate people who can solve problems. At the same time, these three abilities are also factors that enable you to pass the growth period smoothly. Therefore, it can be said that our work is to solve problems. If an employee can only do one thing repeatedly without solving problems, then the employee is not a qualified employee, let alone excellent. As parents, we are just guides and catalysts when our children encounter difficulties.

Many other textbooks simply do not realize or ignore this problem. However, the textbooks of Fang and Wang did not divide DX to get formula 6 as Thomas did in calculus, but only to formula 7. Maybe they also realized that the derivative obtained by doing this was inconsistent with the derivative obtained by the limit method. In « Preston calculus », there is no formula 7 at all, only the differential is written as Newton and Leibniz were giants of their time.

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Many differential equations can be solved by integrating directly, but some differential equations are not. In other words, it is difficult to find suitable differential homeomorphisms directly for these differential equations to rectify the original equations. For this reason, Newton thought of using Taylor expansion to solve it. The general idea is as follows: Explain the neural network as a discrete format for solving differential equations? The field of numerical solution will pay attention to the numerical convergence of discrete schemes, but what is the connection between this and differential equations? How to map the input-output mapping of the network connection to the infinite dimensional mapping of differential equations? Using the knowledge of dynamic system to analyze the properties of neural network? The separation algorithm based on pressure solves the governing equations in sequence (that is, solves the governing equations separately from each other).

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