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What are the main contents of Math II for Postgraduate Entrance Examination?
1, the main content of Math II, a postgraduate course:

(1) high number: limit, derivative and its application, mean value theorem, indefinite integral, definite integral, application of definite integral, differential calculus of multivariate function, double integral, ordinary differential equation.

(2) Line generation: correlation between determinant, matrix and vector group and rank, linear equations, eigenvalues and eigenvectors.

2. Generally, those who take the No.2 exam are all masters, and of course, there are also masters who take the No.1 exam. Textile science and engineering, light industry technology and engineering, agricultural engineering, forestry engineering, control engineering, integrated circuit, communication engineering and so on.

Extended data:

1, the contents of the first test are:

Advanced mathematics: function, limit, continuity, unary function calculus, vector algebra and space geometry, multivariate function calculus, series, ordinary differential equations.

Line generation: determinant, matrix, vector, linear equations, eigenvalues and eigenvectors of matrix, quadratic form.

Probability theory and mathematical statistics: random events and probability, random variables and their probability distribution, multi-dimensional random variables and their distribution, numerical characteristics of random variables, law of large numbers and central limit theorem, samples and sampling distribution, parameter estimation and hypothesis testing. The major of No.1 is also different from No.2 and No.3. Most of the top candidates are academic majors. Mechanics, mechanical engineering, optical engineering, instrument science and technology, power engineering, electrical engineering, control science and engineering, etc.

2. The contents of the three quantitative tests are:

High number: function, continuity, unary function calculus, multivariate function calculus, series, ordinary differential equation and difference equation line generation: determinant, matrix, vector, linear equations, eigenvalue and eigenvector of matrix, quadratic form.

Probability: The majors of random events and probability, random variables and their probability distribution, multidimensional random variables and their distribution, numerical characteristics of random variables, law of large numbers and central limit theorem, sample and sampling distribution, parameter estimation and hypothesis testing are generally liberal arts majors, and there are many economic management analogies. Statistics, quantitative economics, national economics, finance, finance, enterprise management, technical economy and management, etc.

Baidu Encyclopedia-Two Outline of Postgraduate Mathematics