First, Monte Carlo method.
1, Monte Carlo method, also known as statistical simulation method, refers to the method of solving many calculation problems by using random numbers.
2. Monte Carlo method is a very important numerical calculation method under the guidance of probability and statistics theory, which was put forward in the mid-1940s due to the development of science and technology and the invention of electronic computers. Corresponding to it is a deterministic algorithm. Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics and other fields.
Second, data fitting.
1, data fitting, also known as curve fitting, commonly known as drawing a curve, is a representation of substituting existing data into a number formula by mathematical methods.
2. Scientific and engineering problems can obtain some discrete data through sampling and experiments. According to these data, it is often hoped that a continuous function or a more dense discrete equation will match the known data. This process is called fitting.
Third, linear programming.
1. Linear programming is an important branch of operational research, with early research, rapid development, wide application and mature methods. It is a mathematical method to assist people in scientific management.
2. Study the mathematical theory and method of the extreme value problem of linear objective function under linear constraints. English abbreviation LP. It is an important branch of operational research, which is widely used in economic analysis, management and engineering technology. It provides a scientific basis for rational use of limited manpower, material resources and financial resources to make the best decision.