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本書依作者多年教學經驗彙編而成，在原中文版的基礎上，進一步深化知識的鋪陳及論述方式，在使用上能更進一步掌握每一章縱向的發展（例如於每章開頭處指明該章學習目標）；及不同章之間橫向的聯繫與應用。另外，本書亦備有教學影音，在每章的開頭可用 QRcode 進入觀看，均為作者隨堂授課的錄影，幫助讀者建立行動教室自我學習。無論對於授課教師，亦或是有心為工程數學打下堅實基礎的讀者，本書都是一本難得的佳作。
本書特色
1. 全面表格化整理、論述圖像化。
2. 習題區分基礎、進階題，有效掌握學習情況。
3. 每章附範例解題影音。
4. 新增線上教學頻道，包含作者已出版教科書之現場教學錄影，幫助讀者建立行動教室自我學習。
作者簡介
姚賀騰
姚賀騰教授為國立中正大學機械系專任教授，二十餘年來歷任多所大專院校，教學、研究經驗豐富，曾於2020年獲頒中國電機工程學會「傑出電機工程教授獎」，為全台僅十位獲獎者之一。近年並以「混沌訊號處理應用於機電系統訊號監控、診斷與預測」技術，榮膺英國國際工程技術學會會士、美國電機電子工程學會高級會員，為台灣「非線性系統分析」、「機電系統訊號處理」、「自動控制」、「深度學習」等領域的專家。
Chapter 1 First-Order Ordinary Differential Equations
1-1 Introduction to Differential Equations
1-2 Separable First-Order ODEs
1-3 Exact ODEs and Integration Factor
1-4 Linear ODEs
1-5 Solving First-order ODEs with the Grouping Method
1-6 Application of First-Order ODEs
Chapter 2 High-Order Linear Ordinary Differential Equation
2-1 Basic Theories
2-2 Solving Higher-Order ODE with the Reduction of Order Method
2-3 Homogeneous Solutions of Higher-Order ODEs
2-4 Finding Particular Solution Using the Method of Undetermined Coefficients
2-5 Finding Particular Solution Using the Method of Variation of Parameters
2-6 Finding Particular Solution Using the Method of Inverse Differential Operators
2-7 Equidimensional Linear ODEs
2-8 The Applications of Higher-Order ODEs in Engineering
Chapter 3 Laplace Transform
3-1 The Definition of Laplace Transform
3-2 Basic Characteristic and Theorems
3-3 Laplace Transform of Special Functions
3-4 Laplace Inverse Transform
3-5 The Application of Laplace Transform
Chapter 4 Power Series Solution of Ordinary Differential Equations
4-1 Expansion at a Regular Point for Solving ODE
4-2 Regular Singular Point Expansion for Solving ODE (Selected Reading)
Chapter 5 Vector Operations and Vector Spaces
5-1 The Basic Operations of Vector
5-2 Vector Geometry
5-3 Vector Spaces Rn
Chapter 6 Matrix Operations and Linear Algebra
6-1 Matrix Definition and Basic Operations
6-2 Matrix Row (Column) Operations and Determinant
6-3 Solution to Systems of Linear Equations
6-4 Eigenvalues and Eigenvectors
6-5 Matrix Diagonalization
6-6 Matrix Functions
Chapter 7 Linear differential equation system
7-1 The Solution of a System of First-Order Simultaneous Linear Differential Equations
7-2 The Solution of a Homogeneous System of Simultaneous Differential Equations
7-3 Diagonalization of Matrix for Solving Non-Homogeneous System of Simultaneous Differential Equations
Chapter 8 Vector Function Analysis
8-1 Vector Functions and Differentiation
8-2 Directional Derivative
8-3 Line Integral
8-4 Multiple Integral
8-5 Surface Integral
8-6 Green’s Theorem
8-7 Gauss's Divergence Theorem
8-8 Stokes’ Theorem
Chapter 9 Orthogonal Functions and Fourier Analysis
9-1 Orthogonal Functions
9-2 Fourier Series
9-3 Complex Fourier Series and Fourier Integral
9-4 Fourier Transform
Chapter 10 Partial Differential Equation
10-1 Introduction to Partial Differential Equation (PDE)
10-2 Solving Second-Order PDE Using the Method of Separation of Variables
10-3 Solving Non-Homogeneous Partial Differential Equation
10-4 Solving PDE Using Integral Transformations
10-5 Partial Differential Equations in Non-Cartesian Coordinate System
Chapter 11 Complex Analysis
11-1 Basic Concepts of Complex Number
11-2 Complex Functions
11-3 Differentiation of Complex Functions
11-4 Integration of Complex Functions
11-5 Taylor Series Expansion and Laurent Series Expansion
11-6 Residue Theorem
11-7 Definite Integral of Real Variable Functions
