1, clarify the problem: first, clarify the problem to be solved, and fully understand and analyze the problem. Only when the problem is clear can the subsequent steps be carried out.

2. Disassembly problem: According to the characteristics of the problem, the problem is decomposed into several smaller and simpler subproblems. Only in this way can we better understand the problem and grasp the essence of the problem as a whole.

3. Simplify the complexity: further simplify the disassembled sub-problems. By removing some unnecessary details, simplifying the description of the problem or abstracting the model of the problem, the problem can be solved more easily.

Knowledge expansion

Transformation is a problem-solving strategy, which solves problems by transforming complex problems into simple problems or transforming unknown problems into known problems. This method is widely used in mathematics, physics, engineering and other fields.

The core idea of transformation method is to turn the problem into an easier problem to solve. The key of this method is how to transform the original problem into a new one, which is effective. Through transformation, we can simplify complex problems into simple problems and turn unknown problems into known problems, so that we can find solutions to problems more easily.

In mathematics, transformation is often used to prove theorems and solve mathematical problems. For example, when proving a mathematical theorem, we can prove this theorem by transforming the original problem into some known theorems or propositions. When solving mathematical problems, we can also solve this mathematical problem by transforming the original problem into some simple or known problems.

Besides mathematics, the transformation method is also applicable to other fields. For example, in physics, we can better understand this phenomenon by transforming complex physical phenomena into simple physical models. In computer science, we can solve this problem more quickly by transforming a complex problem into several simple problems.

Transformation must be effective: transformation must be able to truly transform the original problem into a new one, and this transformation is effective. If the transformation is ineffective, then the transformation method can't solve the problem.

The transformation must be simple: the new problem after transformation must be simpler than the original problem, so that we can solve the problem more easily. If the converted problem is more complicated than the original problem, then the conversion is meaningless.

Transformation must be reversible: transformation must be reversible, that is, we can turn new problems back to the original ones. If the transformation is irreversible, then we can't get the solution of the original problem.

In a word, transformation is a very important method to solve problems. By turning complex problems into simple ones, we can find solutions to them more easily. Transformation method is widely used in mathematics, physics, engineering and other fields.

In the future, with the continuous progress of science and technology and the continuous expansion of application fields, the application scenarios of conversion method will also continue to expand.