What problem does the strategy pattern solve in order to solve? When to use policy mode?

The design principles of the policy pattern are as follows:

1.Separate the ones that need to change frequently in your application from those that don't.

2.You should be programmed for interfaces, not classes.

3.Composition should be used more in classes and inheritance should be used less.

Example: We want to implement a duck simulator that is described by the duck class, which has the following 4 behaviors:

1. display

2. swim

3.fly

4.quack

where swim is a feature that all ducks have, and all ducks have the same characteristics, so this method can be implemented directly in the duck class. The display method is also a feature of all ducks, but the display method varies depending on the type of duck, so the display method should be an abstraction of the duck class. Fly and quack are not characteristic of all ducks, such as rubber ducks, which neither fly nor call.

Therefore, you can think of these two methods as two behaviors, and you can design each behavior as an interface. This can be completely detached from the duck class. Because, fly and quack have nothing to do with duck (other things may also fly and quack), and then different fly and quack are represented by classes that implement the corresponding interfaces.

Common problem-solving strategies are: 1. Drawing strategies. 2. Reasoning strategies. 3. Try to adjust the strategy. 4. Strategies for simulated operations.

There are many other strategies for solving problems, and when solving a problem, it is often a combination of multiple strategies. When solving problems, it is necessary to pay attention to the penetration of problem-solving strategies, and then gradually improve the ability to solve problems.

1. Drawing strategies: Due to the limitations of primary school students' cognitive level, students may have difficulties in reasoning about symbols and operations, and when solving problems, guide students to paint and draw on the paper by themselves, so as to expand the ideas of problem solving, find the key to solving the problem, and comprehend the method of problem solving.

2. Reasoning strategies: Reasoning includes logical reasoning and deductive reasoning.

Reasonable reasoning is based on existing facts, relying on experience and intuition, through induction and analogy to obtain certain results. Deductive reasoning is based on definitions, formulas, laws, etc., to prove and calculate.

3. Try to adjust the strategy: The strategy to try, simply put, is to guess first when you don't know where to start. If the result of the guess is reasonable but not in line with the requirements, then put the result into the question to consider, further adjust, and find the answer.

4. Simulation operation strategy: Simulation operation is a strategy to simulate problem situations through exploratory hands-on activities, so as to obtain a strategy to solve problems. Through the training of this strategy, students can develop creative thinking.

Ask questions--- analyze problems--- solve problems.

Problem-solving strategies: convert, backwards, integrate.

It's a list, a drawing, a conjecture and an attempt, and a search for patterns from the exceptions.

The common points are: 1. Make Xiang Ransheng students learn some basic strategies to solve problems and experience the diversity of problem-solving strategies. And on this basis, some strategies for solving problems are formed on their own.

2. I have accumulated some understanding of strategies in daily life, and I have also initially accumulated experience in solving problems in the process of solving problems in the past.

Problem-solving strategies are purposeful, cognitive, and sequential.

1. Purposefulness. Problem solving has a clear purpose, and mental activities without a clear purpose cannot be called problem solving;

2. Recognize the edge of the orange and hide the intellectuality. Problem solving is an automated operation achieved through internal psychological processing, such as walking, dressing, etc., although it also has a certain purpose, but it cannot be called problem solving;

3. Sequentiality. Problem solving involves a series of mental activities, that is, cognitive operations, such as analysis, association, comparison, inference, etc., and a single cognitive activity such as simple memory retrieval cannot be called problem solving.

Problem solving strategy analysis.

Problem solving strategy refers to the general term of the strategy used by people to search for problem space and select operator series in the process of solving problems. There are two main types: algorithmic strategies and heuristic strategies. An algorithm refers to a set of rules for solving a problem.

Precisely specifying the steps to solve the problem, this strategy is time-consuming and labor-intensive, but it ensures that the problem is solved.

Goal progressive strategy (directional analysis method), goal recursion strategy (reverse work method), simplified planning method, hill climbing method, etc. Whether the strategy is appropriate or not determines the success or failure of problem solving. Its specific application depends on the nature and content of the problem itself, as well as the individual's existing knowledge and experience.

Focusing on the word "strategy", students can develop the awareness of actively using strategies to solve problems, choose ways to solve problems, and experience the diversity of problem solving.

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The strategy to solve the problem is 1Goal-oriented: A problem-solving strategy is a course of action taken to achieve a specific goal or solve a specific problem.

They are usually determined based on the nature and requirements of the problem and are aimed at achieving the desired outcome. 2.Flexible:

Problem-solving strategies need to be flexible, as the nature of the problem can vary and need to be adjusted and varied on a case-by-case basis. Flexible xing can help strategies adapt to changes in different environments and conditions and find the best solutions. <>

What is the nature of the strategy for solving the problem.

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The strategy to solve the problem is 1Goal-oriented: A problem-solving strategy is a course of action taken to achieve a specific goal or solve a specific problem.

They are usually determined according to the nature and requirements of the problem and are designed to achieve the desired outcome. 2.Flexible:

Problem-solving strategies need to be flexible, as the nature of the problem can vary and need to be adjusted and varied on a case-by-case basis. Flexible xing can help strategies adapt to changes in different environments and conditions and find the best solutions. Void Megabase <>

Problem-solving strategies often require a combination of factors, including the complexity of the problem, feasibility, cost-effectiveness, etc. Comprehensive xing can help to find comprehensive and effective solutions to empty stool questions, and avoid one-sided or partial solutions. 4.

Continuous xing: Problem-solving strategies are usually long-term and continuous. Problems are often not solved all at once, but need to be continuously evaluated and adjusted as time and context change.

Continuous xing ensures that the strategy is effective and that corrections can be made in time to adapt to new situations. 5.Assessment and feedback xing:

Problem-solving strategies need to go through constant evaluation and feedback to see what works and make improvements. Through evaluation and feedback, problems and pitfalls can be identified in a timely manner and strategies can be adjusted if necessary to achieve better problem solving. Together, these qualities constitute the basic characteristics of the problem-solving strategy.

Choosing the right strategies and applying them flexibly can help us solve various problems effectively and achieve good results. <>

Heart-to-heart annihilation brigade].

Strategy, refers to strategy; Strategy. Generally refers to:

1. A collection of solutions that can achieve the goal;

2. The course of action and methods of struggle formulated according to the development of the situation;

3. Have the art of struggle and be able to pay attention to ways and means.

When we encounter problems in our daily lives, we often think of a way to solve them, rather than formulating a strategy to solve them. This shows that the strategy is a macro plan, and the approach is only a micro plan.

Methods or methods are often only formulated for a relatively small goal, and it does not take us too much time to implement. Strategy, on the other hand, refers to a plan developed to achieve a long-term goal, which can be a collection of many small methods or just one method. In addition, the strategy has a detailed plan and clear steps.

The solution is simply a simple implementation process.