Opening: chat how to solve problems

Foreword

• This is an Introduction
• Methodology in the interpretation of the data structure and algorithm Series
• I will try in the text, interspersed with relevant content

some thoughts

• Usually encounter a problem, you can direct the answer through experience
• And some of the problems more complex and requires abstracted into a mathematical model and then by mathematical thinking to solve
• Programming can simulate mathematical problem-solving process
• In other words, as long as there is a mathematical solution that can be programmed to simulate solve
• Similarly, some programming problem, you can use mathematics to solve
• In the series of data structures and algorithms, I believe that the idea to solve the problem, you can refer

At last

• In broad terms, said the purpose is to solve the problem
• In terms of simple arithmetic that the algorithm first solve the problem of correctness, and then only to the efficiency
• Algorithms and mathematical thinking can learn from each other thinking, mathematical methods often high efficiency and accuracy, depending on the accuracy of the mathematical model
• I will be problem-oriented, leads some basic knowledge of data structures and algorithms, and build applications contact theory

summary

• To treat the problem, reference
• Can be solved using mathematical methods must be mentioned
• Articles will be problem-oriented, building applications and theoretical links