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算法研究的步骤

算法研究的步骤
1. 决定一个完整和具体问题陈述，包括确定问题和API固有的基本抽象操作；
Decide on a complete and specific problem statement, including identifying fundamental abstract operations that are intrinsic to the problem and an API.
2. 仔细为一个简单的算法开发一个简明的实现，使用静心设计的开发客户端和真实的输入数据。
Carefully devlelop a succinct implementation for a straightforward algorithm, using a well-though-out development client and realistic input data.
3. 要知道当一个实现不能用于解决按照设想规模的问题，这个实现必须被优化或者被抛弃；
Know when an implementation could not possibly be used to solve problems on the scale contemplated and must be improved or abandoned.
4. 通过逐步提取的过程开发优化实现，通过实证分析，数学分析验证那个优化想法的功效。
Develop improved implementations through a process of stepwise refinement, validating the efficacy of ideas for improvement through empirical analysis, mathematical analysis, or both.
5. 在操作中查找数据结构或算法的高水平数据结构抽象实现，能够有效的改进高水平的设计版本
Find high-level abstract representations of data structures or algorithms in operation that enable effective high-level design of improved versions.
6. 尽可能争取最坏的性能保证，但在可用的典型数据上接受良好的性能.
Strive for worst-case performance guarantees when possible, but accept good performance on typical data when available.
7. 知道什么时候留给研究人员进一步优化，然后移到下一个问题。
Know when to leave further improvement for detailded in-depth study to skilled researchers and move on to fthe next problem.
【算法研究的步骤】

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