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Basic catalogue of engineering mathematical analysis
This book is divided into two volumes.

The main contents of the first volume are:

Introduction to the second edition Introduction to the first edition Chapter 1 Function, Limit, Continuous First Section Set, Mapping and Function 1. 1 Set and Its Operation/Completeness and Existence Theorem of Kloc-0/.2 Real Number Set 1.3 Concept of Mapping and Function 1.4 Compound Mapping and Compound Function/Kloc .6 Elementary Function and Hyperbolic Function Exercises 1.643838+0 Limit of Series in the second quarter 2. 1 Concept of Series Limit 2.2 Properties of convergent sequences 2.3 Criteria for Convergence of Series Exercises 1.2 Limit of Function in the third quarter 3. 1 Concept of Function Limit 3.2 Properties of Function Limit 3.3 Two Important. 5438+0.3 infinitesimal and infinitesimal 4. 1 and equivalent substitution of infinitesimal and order 4.2 in the fourth quarter. 4.3 Infinite Number Exercise 1.4 Section 5 Concept of Continuity of Continuous Functions 5. 1 and Classification of Discontinuous Points 5.2 Operational Properties of Continuous Functions and Continuity of Elementary Functions 5.3 Closed Interval Series Properties of Continuous Functions 5.4 Uniform Continuity of Functions 5.5 Contraction Mapping Principle and Iterative Method Exercise 1.5 Comprehensive Exercise.

Chapter II Differential calculus of unary function and its application Section I Concept of derivative1.2 Geometric meaning of derivative 1.3 Relationship between derivability and continuity 1.4 Significance of derivative in science and technology-Basic law of derivative Section II 2.1.200000 Law of Derivation of Quotient 2.2 Law of Derivation of Compound Function 2.3 Law of Derivation of Inverse Function _ 2.4 Law of Derivation of Elementary Function 2.5 Law of Derivation of Higher Order Derivative 2.6 Law of Derivation of Implicit Function 2.7 Law of Derivation of Function Determined by Parametric Equation 2.8 Law of Related Change Rate Exercise 2.2 Differential in the Third Section 3. 1 Differential Concept 3.2 Differential Operation Method Then 3.3 Higher Order Differential 3.4 Application of Differential in Approximate Calculation Exercise 2.3 Section 4 Differential Mean Value Theorem and Its Application 4. 1 Extreme Value of Function and Its Necessary Condition 4.2 Differential Mean Value Theorem 4.3 Lobida Law Exercise 2.4 Section 5 Taylor Theorem and Its Application 5. 1 Taylor Theorem of Several Elementary Functions 5.2: McLaughlin Formula 5.3 Application of Taylor Formula Exercise 2.5 Study on the Behavior of Functions in Section 6 6. 1 Monotonicity of Functions 6.2 Extreme Value of Functions 6.3 Maximum (Small) Value of Functions 6.4 Convexity Exercise 2.6 Comprehensive Exercise.

The third chapter is the integration of univariate function and its application. The first section is the concept of definite integral. Existence conditions and properties of definite integral 1. 1 examples of definite integral/definition of definite integral/existence conditions of definite integral 1.3 properties of definite integral exercise 3. 1 Basic formulas and theorems of calculus in the second quarter 2. 1.4 2.3 indefinite integral exercise 3.2 two basic integration methods in the third quarter 3. 1 substitution integration method 3.2 partial integration 3.3 elementary function integration problem exercise 3.3 application of definite integral in the fourth quarter 4. 1 differential method of establishing integral expression 4.2 application of definite integral in geometry example 4.3 application example of definite integral in physics. Exercise 3.4 Section 5 Generalized Integral 5. 1 Integral on Infinite Interval 5.2 Integral of Unbounded Function 5.3 Convergence Criterion of Integral on Infinite Interval 5.4 Convergence Criterion of Integral of Unbounded Function 5.5 Function Exercise 3.5 Section 6 Several Simple Differential Equations 6. 1 Several Basic Concepts 6.2 First-order Differential Squares of Separable Variables. Cheng 6.3 First-order linear differential equation 6.4 First-order differential equation that can be solved by variable substitution method 6.5 Reduced-order higher-order differential equation 6.6 Application example of differential equation Exercise 3.6 Comprehensive exercise.

Chapter IV Infinite Series Section I Concept of Constant Term Series 1. 1, Properties and convergence principle 1.2 convergence criterion of positive series 1.3 convergence criterion of sign-changing series Exercise 4. 1 everywhere convergence of function series 2. 1 concept and discrimination method of uniform convergence of function series 2.3 Properties Exercise 4.2 Section 3 Power series 3. 1 Power series and its operational properties with a convergence radius of 3.2. 3.3 Application examples of function expansion into power series 3.4 Fourier series 4. 1 orthogonality between periodic function and trigonometric series 4.2 Fourier expansion of trigonometric function and Fourier series 4.3 periodic function. 4.5 Fourier expansion of functions defined on [o, l] 4.5 Complex form of Fourier series Exercise 4.4 Comprehensive exercises, exercise answers and references.

The main contents of the second volume:

Chapter 5 Differential calculus of multivariate functions and its application Section 1 Preliminary knowledge of point sets in N-dimensional Euclidean space Rn1.2n-dimensional Euclidean space Limit of point sequences RN 1.3 Rn Open set and closed set 1.4 Rn Compact set and regional exercises 5. 1 Section 2 Limit and sum of multivariate functions The concept of kloc-0/ multivariate function 2.2 Limit and continuity of multivariate function 2 3. 1 Directional derivative and partial derivative 3.2 Total differential 3.3 Gradient and its relationship with directional derivative 3.4 Higher-order partial derivative and higher-order total differential 3.5 Partial derivative and total differential 3.6 Differential method of implicit function determined by an equation Exercise 5.3 Taylor formula and extreme value problem of multivariate function in the fourth quarter 4.65438+ Taylor formula of multivariate function 4.2 Unconstrained extreme value, maximum value and minimum value 4.3 Constrained extreme value, Lagrange Multiplier Method Exercise 5.4 Section 5 Derivative and Differential of Multivariate Vector-valued Functions 5. 1 Derivative and differential of univariate vector-valued function 5.2 Derivative and differential of binary vector-valued function 5.3 Differential algorithm 5.4 Differential method exercise of implicit function determined by equation 5.5 Simple application of differential calculus of multivariate function in geometry 6.6543 8+0 Tangent plane and normal plane of space curve 6.2 Arc length 6.3 Tangent plane and normal plane of surface exercise 5.6 Section 7 Curvature and torsion of space curve 7. 1 Frenet Frame 7.2 Curvature 7.3 Torsion 7.4 Frenet Formula Exercises 5.7 Comprehensive Exercises Chapter VI Multivariate Function Integral and Its Application Section I Multivariate Concept and Properties of Integral of Section Function 1. 1 Calculation of Object Mass 1.2 Concept of Integral of Multivariate Magnitude Function/Conditions and Properties of Kloc-0/.3 Exercise 6./ Kloc-0/ Calculation of Double Integrals in Section 2.3 Calculation of Double Integrals in Polar Coordinates 2.4 Calculation of Double Integrals in Curved Coordinates 6.2 Calculation of Triple Integrals in Section 3. 1 Calculation of Triple Integrals Convert Triple Integrals into Single Integrals and Repeated Integrals of Double Integrals 3.2 Calculation of Triple Integrals in Cylindrical Coordinates and Spherical Coordinates 6.3 Fourth.1 Application of Double Integral in Section 4 .2 Application Example Exercise 6.4 Section 5 Including Parametric Integral and Abnormal Multiple Integral 5. 1 Integral Band Parameter 5.2 Improper Integral with Parameter 5.3 Abnormal Multiple Integral Exercise 6.5 Section 6 Integrating with I-line and Area 6. 1 Integrating with I-line 6.2 Practicing with I-line and Integrating with II-line in Section 7. The concept of area fraction 7. 1 field 7.2 The second kind of line integral 7.3 The second kind of area fraction exercise 6.7 Section 8 The connection of various integrals and their application in field theory 8. 1 Green's formula 8.2 Conditional plane line integration has nothing to do with path 8.3 Stokes formula and curl 8.4 Gauss formula and divergence 8.5 Important special vector field exercise 6.8 Comprehensive exercise Chapter 7 Ordinary differential equation Section 1 Basic knowledge of ordinary differential equation1./equation and differential equation group 1.2 Geometric explanation exercise of differential equation and its solution 7. 1 No. 2.2 Non-homogeneous linear differential equations Exercise 7.2 Section 3 Constant coefficient linear differential equations 3. 1 Solving constant coefficient homogeneous linear differential equations 3.2 Solving constant coefficient non-homogeneous linear differential equations Exercise 7.3 Section 4 Higher order linear differential equations 4. 1 Solving Higher-order Linear Differential Equations 4.2 Solving Higher-order Linear Differential Equations with Constant Coefficients 4.3 Solving Higher-order Linear Differential Equations with Variable Coefficients Exercise 7.4 Preliminary Analysis Method of Qualitative Differential Equations in Section 5. 1 Basic Concepts of Stability of Autonomous System and Non-autonomous System 5.3 Discrimination of Stability of Equilibrium Position of Linear Autonomous System 5.4 Discrimination of Stability of Equilibrium Position of Nonlinear Autonomous System 5.5 Application Example Exercise 7.5 Comprehensive Combination Exercise Chapter 8 Introduction to Infinite Dimensional Analysis Section 1 From Finite Dimensional Space to Infinite Dimensional Space 1. 1 Realistic Foundation of Multidimensional Space Concept 1 .2 Why do you want to study the meaning of space? Concepts in infinite dimensional space 1.3 Mathematics Section 2 Normal linear space and contractive mapping principle 2. 1 inner product space 2.2 Fu Normal linear space 2.3 Convergence and point set properties of normal linear space 2.4 Completeness of space 2.5 Compressive mapping principle and its application Exercise 8.2 Section 3 Leberg integral and Lp([a, 6]) Space 3. 1 From R Integral to L Integral 3.2 Lebesgue Measure and Measurable Function 3.3 Lebesgue Integral 3.4 6]) Space Exercise 8.3 Section 4 Hilbert Space and Best Approximation Problem 4. 1 Orthogonal Projection and Orthogonal Decomposition 4.2 Best Approximation Problem 4.3 Orthogonal System of Hilbert Space and Fourier Expansion 4.4 L2([-π,-π])