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دسته بندی: ریاضیات ویرایش: 6 نویسندگان: Glyn James سری: ISBN (شابک) : 1292253495, 9781292253497 ناشر: Pearson سال نشر: 2020 تعداد صفحات: 1160 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 9 مگابایت
کلمات کلیدی مربوط به کتاب ریاضیات مهندسی نوین: ریاضیات مهندسی
در صورت تبدیل فایل کتاب Modern Engineering Mathematics به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب ریاضیات مهندسی نوین نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Front Cover Half Title Page Title Page Copyright Page Contents Preface About the authors Chapter 1 Number, Algebra and Geometry 1.1 Introduction 1.2 Number and arithmetic 1.2.1 Number line 1.2.2 Representation of numbers 1.2.3 Rules of arithmetic 1.2.4 Exercises (1–9) 1.2.5 Inequalities 1.2.6 Modulus and intervals 1.2.7 Exercises (10–14) 1.3 Algebra 1.3.1 Algebraic manipulation 1.3.2 Exercises (15–20) 1.3.3 Equations, inequalities and identities 1.3.4 Exercises (21–32) 1.3.5 Suffïx and sigma notation 1.3.6 Factorial notation and the binomial expansion 1.3.7 Exercises (33–35) 1.4 Geometry 1.4.1 Coordinates 1.4.2 Straight lines 1.4.3 Circles 1.4.4 Exercises (36–43) 1.4.5 Conics 1.4.6 Exercises (44–46) 1.5 Number and accuracy 1.5.1 Rounding, decimal places and significant figures 1.5.2 Estimating the effect of rounding errors 1.5.3 Exercises (47–56) 1.5.4 Computer arithmetic 1.5.5 Exercises (57–59) 1.6 Engineering applications 1.7 Review exercises (1–25) Chapter 2 Functions 2.1 Introduction 2.2 Basic definitions 2.2.1 Concept of a function 2.2.2 Exercises (1–6) 2.2.3 Inverse functions 2.2.4 Composite functions 2.2.5 Exercises (7–13) 2.2.6 Odd, even and periodic functions 2.2.7 Exercises (14–16) 2.3 Linear and quadratic functions 2.3.1 Linear functions 2.3.2 Least squares fit of a linear function to experimental data 2.3.3 Exercises (17–23) 2.3.4 The quadratic function 2.3.5 Exercises (24–29) 2.4 Polynomial functions 2.4.1 Basic properties 2.4.2 Factorization 2.4.3 Nested multiplication and synthetic division 2.4.4 Roots of polynomial equations 2.4.5 Exercises (30–38) 2.5 Rational functions 2.5.1 Partial fractions 2.5.2 Exercises (39–42) 2.5.3 Asymptotes 2.5.4 Parametric representation 2.5.5 Exercises (43–47) 2.6 Circular functions 2.6.1 Trigonometric ratios 2.6.2 Exercises (48–54) 2.6.3 Circular functions 2.6.4 Trigonometric identities 2.6.5 Amplitude and phase 2.6.6 Exercises (55–66) 2.6.7 Inverse circular (trigonometric) functions 2.6.8 Polar coordinates 2.6.9 Exercises (67–71) 2.7 Exponential, logarithmic and hyperbolic functions 2.7.1 Exponential functions 2.7.2 Logarithmic functions 2.7.3 Exercises (72–80) 2.7.4 Hyperbolic functions 2.7.5 Inverse hyperbolic functions 2.7.6 Exercises (81–88) 2.8 Irrational functions 2.8.1 Algebraic functions 2.8.2 Implicit functions 2.8.3 Piecewise defined functions 2.8.4 Exercises (89–98) 2.9 Numerical evaluation of functions 2.9.1 Tabulated functions and interpolation 2.9.2 Exercises (99–104) 2.10 Engineering application: a design problem 2.11 Engineering application: an optimization problem 2.12 Review exercises (1–23) Chapter 3 Complex Numbers 3.1 Introduction 3.2 Properties 3.2.1 The Argand diagram 3.2.2 The arithmetic of complex numbers 3.2.3 Complex conjugate 3.2.4 Modulus and argument 3.2.5 Exercises (1–18) 3.2.6 Polar form of a complex number 3.2.7 Euler\'s formula 3.2.8 Exercises (19–27) 3.2.9 Relationship between circular and hyperbolic functions 3.2.10 Logarithm of a complex number 3.2.11 Exercises (28–33) 3.3 Powers of complex numbers 3.3.1 De Moivre\'s theorem 3.3.2 Powers of trigonometric functions and multiple angles 3.3.3 Exercises (34–41) 3.4 Loci in the complex plane 3.4.1 Straight lines 3.4.2 Circles 3.4.3 More general loci 3.4.4 Exercises (42–50) 3.5 Functions of a complex variable 3.5.1 Exercises (51–56) 3.6 Engineering application: alternating currents in electrical networks 3.6.1 Exercises (57–58) 3.7 Review exercises (1–34) Chapter 4 Vector Algebra 4.1 Introduction 4.2 Basic definitions and results 4.2.1 Cartesian coordinates 4.2.2 Scalars and vectors 4.2.3 Addition of vectors 4.2.4 Exercises (1–10) 4.2.5 Cartesian components and basic properties 4.2.6 Complex numbers as vectors 4.2.7 Exercises (11–26) 4.2.8 The scalar product 4.2.9 Exercises (27–40) 4.2.10 The vector product 4.2.11 Exercises (41–56) 4.2.12 Triple products 4.2.13 Exercises (57–65) 4.3 The vector treatment of the geometry of lines and planes 4.3.1 Vector equation of a line 4.3.2 Exercises (66–72) 4.3.3 Vector equation of a plane 4.3.4 Exercises (73–83) 4.4 Engineering application: spin-dryer suspension 4.4.1 Point-particle model 4.5 Engineering application: cable-stayed bridge 4.5.1 A simple stayed bridge 4.6 Review exercises (1–22) Chapter 5 Matrix Algebra 5.1 Introduction 5.2 Basic concepts, definitions and properties 5.2.1 Definitions 5.2.2 Basic operations of matrices 5.2.3 Exercises (1–11) 5.2.4 Matrix multiplication 5.2.5 Exercises (12–18) 5.2.6 Properties of matrix multiplication 5.2.7 Exercises (19–33) 5.3 Determinants 5.3.1 Exercises (34–50) 5.4 The inverse matrix 5.4.1 Exercises (51–59) 5.5 Linear equations 5.5.1 Exercises (60–71) 5.5.2 The solution of linear equations: elimination methods 5.5.3 Exercises (72–78) 5.5.4 The solution of linear equations: iterative methods 5.5.5 Exercises (79–84) 5.6 Rank 5.6.1 Exercises (85–93) 5.7 The eigenvalue problem 5.7.1 The characteristic equation 5.7.2 Eigenvalues and eigenvectors 5.7.3 Exercises (94–95) 5.7.4 Repeated eigenvalues 5.7.5 Exercises (96–101) 5.7.6 Some useful properties of eigenvalues 5.7.7 Symmetric matrices 5.7.8 Exercises (102–106) 5.8 Engineering application: spring systems 5.8.1 A two-particle system 5.8.2 An n-particle system 5.9 Engineering application: steady heat transfer through composite materials 5.9.1 Introduction 5.9.2 Heat conduction 5.9.3 The three-layer situation 5.9.4 Many-layer situation 5.10 Review exercises (1–26) Chapter 6 An Introduction to Discrete Mathematics 6.1 Introduction 6.2 Set theory 6.2.1 Definitions and notation 6.2.2 Union and intersection 6.2.3 Exercises (1–8) 6.2.4 Algebra of sets 6.2.5 Exercises (9–17) 6.3 Switching and logic circuits 6.3.1 Switching circuits 6.3.2 Algebra of switching circuits 6.3.3 Exercises (18–29) 6.3.4 Logic circuits 6.3.5 Exercises (30–31) 6.4 Propositional logic and methods of proof 6.4.1 Propositions 6.4.2 Compound propositions 6.4.3 Algebra of statements 6.4.4 Exercises (32–37) 6.4.5 Implications and proofs 6.4.6 Exercises (38–47) 6.5 Engineering application: decision support 6.6 Engineering application: control 6.7 Review exercises (1–23) Chapter 7 Sequences, Series and Limits 7.1 Introduction 7.2 Sequences and series 7.2.1 Notation 7.2.2 Graphical representation of sequences 7.2.3 Exercises (1–13) 7.3 Finite sequences and series 7.3.1 Arithmetical sequences and series 7.3.2 Geometric sequences and series 7.3.3 Other finite series 7.3.4 Exercises (14–25) 7.4 Recurrence relations 7.4.1 First-order linear recurrence relations with constant coefficients 7.4.2 Exercises (26–28) 7.4.3 Second-order linear recurrence relations with constant coefficients 7.4.4 Exercises (29–35) 7.5 Limit of a sequence 7.5.1 Convergent sequences 7.5.2 Properties of convergent sequences 7.5.3 Computation of limits 7.5.4 Exercises (36–40) 7.6 Infinite series 7.6.1 Convergence of infinite series 7.6.2 Tests for convergence of positive series 7.6.3 The absolute convergence of general series 7.6.4 Exercises (41–49) 7.7 Power series 7.7.1 Convergence of power series 7.7.2 Special power series 7.7.3 Exercises (50–56) 7.8 Functions of a real variable 7.8.1 Limit of a function of a real variable 7.8.2 One-sided limits 7.8.3 Exercises (57–61) 7.9 Continuity of functions of a real variable 7.9.1 Properties of continuous functions 7.9.2 Continuous and discontinuous functions 7.9.3 Numerical location of zeros 7.9.4 Exercises (62–69) 7.10 Engineering application: insulator chain 7.11 Engineering application: approximating functions and Padé approximants 7.12 Review exercises (1–25) Chapter 8 Differentiation and Integration 8.1 Introduction 8.2 Differentiation 8.2.1 Rates of change 8.2.2 Definition of a derivative 8.2.3 Interpretation as the slope of a tangent 8.2.4 Differentiable functions 8.2.5 Speed, velocity and acceleration 8.2.6 Exercises (1–7) 8.2.7 Mathematical modelling using derivatives 8.2.8 Exercises (8–18) 8.3 Techniques of differentiation 8.3.1 Basic rules of differentiation 8.3.2 Derivative of xr 8.3.3 Differentiation of polynomial functions 8.3.4 Differentiation of rational functions 8.3.5 Exercises (19–25) 8.3.6 Differentiation of composite functions 8.3.7 Differentiation of inverse functions 8.3.8 Exercises (26–33) 8.3.9 Differentiation of circular functions 8.3.10 Extended form of the chain rule 8.3.11 Exercises (34–37) 8.3.12 Differentiation of exponential and related functions 8.3.13 Exercises (38–46) 8.3.14 Parametric and implicit differentiation 8.3.15 Exercises (47–59) 8.4 Higher derivatives 8.4.1 The second derivative 8.4.2 Exercises (60–72) 8.4.3 Curvature of plane curves 8.4.4 Exercises (73–78) 8.5 Applications to optimization problems 8.5.1 Optimal values 8.5.2 Exercises (79–88) 8.6 Numerical differentiation 8.6.1 The chord approximation 8.6.2 Exercises (89–93) 8.7 Integration 8.7.1 Basic ideas and definitions 8.7.2 Mathematical modelling using integration 8.7.3 Exercises (94–102) 8.7.4 Definite and indefinite integrals 8.7.5 The Fundamental Theorem of Calculus 8.7.6 Exercise (103) 8.8 Techniques of integration 8.8.1 Integration as antiderivative 8.8.2 Integration of piecewise-continuous functions 8.8.3 Exercises (10–109) 8.8.4 Integration by parts 8.8.5 Exercises (110–111) 8.8.6 Integration using the general composite rule 8.8.7 Exercises (112–116) 8.8.8 Integration using partial fractions 8.8.9 Exercises (117–118) 8.8.10 Integration involving the circular and hyperbolic functions 8.8.11 Exercises (119–120) 8.8.12 Integration by substitution 8.8.13 Integration involving (ax2+bx+ c) 8.8.14 Exercises (121–126) 8.9 Applications of integration 8.9.1 Volume of a solid of revolution 8.9.2 Centroid of a plane area 8.9.3 Centre of gravity of a solid of revolution 8.9.4 Mean values 8.9.5 Root mean square values 8.9.6 Arclength and surface area 8.9.7 Moments of inertia 8.9.8 Exercises (127–136) 8.10 Numerical evaluation of integrals 8.10.1 The trapezium rule 8.10.2 Simpson\'s rule 8.10.3 Exercises (137–142) 8.11 Engineering application: design of prismatic channels 8.12 Engineering application: harmonic analysis of periodic functions 8.13 Review exercises (1–39) Chapter 9 Further Calculus 9.1 Introduction 9.2 Improper integrals 9.2.1 Integrand with an infinite discontinuity 9.2.2 Infinite integrals 9.2.3 Exercise (1) 9.3 Some theorems with applications to numerical methods 9.3.1 Rolle\'s theorem and the first mean value theorems 9.3.2 Convergence of iterative schemes 9.3.3 Exercises (2–7) 9.4 Taylor\'s theorem and related results 9.4.1 Taylor polynomials and Taylor\'s theorem 9.4.2 Taylor and Maclaurin series 9.4.3 L\'Hôpital\'s rule 9.4.4 Exercises (8–20) 9.4.5 Interpolation revisited 9.4.6 Exercises (21–23) 9.4.7 The convergence of iterations revisited 9.4.8 Newton–Raphson procedure 9.4.9 Optimization revisited 9.4.10 Exercises (24–27) 9.4.11 Numerical integration 9.4.12 Exercises (28–31) 9.5 Calculus of vectors 9.5.1 Differentiation and integration of vectors 9.5.2 Exercises (32–36) 9.6 Functions of several variables 9.6.1 Representation of functions of two variables 9.6.2 Partial derivatives 9.6.3 Directional derivatives 9.6.4 Exercises (37–46) 9.6.5 The chain rule 9.6.6 Exercises (47–56) 9.6.7 Successive differentiation 9.6.8 Exercises (57–67) 9.6.9 The total differential and small errors 9.6.10 Exercises (68–75) 9.6.11 Exact differentials 9.6.12 Exercises (76–78) 9.7 Taylor\'s theorem for functions of two variables 9.7.1 Taylor\'s theorem 9.7.2 Optimization of unconstrained functions 9.7.3 Exercises (79–87) 9.7.4 Optimization of constrained functions 9.7.5 Exercises (88–93) 9.8 Engineering application: deflection of a built-in column 9.9 Engineering application: streamlines in fluid dynamics 9.10 Review exercises (1–35) Chapter 10 Introduction to Ordinary Differential Equations 10.1 Introduction 10.2 Engineering examples 10.2.1 The take-off run of an aircraft 10.2.2 Domestic hot-water supply 10.2.3 Hydro-electric power generation 10.2.4 Simple electrical circuits 10.3 The classification of ordinary differential equations 10.3.1 Independent and dependent variables 10.3.2 The order of a differential equation 10.3.3 Linear and nonlinear differential equations 10.3.4 Homogeneous and nonhomogeneous equations 10.3.5 Exercises (1–2) 10.4 Solving differential equations 10.4.1 Solution by inspection 10.4.2 General and particular solutions 10.4.3 Boundary and initial conditions 10.4.4 Analytical and numerical solution 10.4.5 Exercises (3–6) 10.5 First-order ordinary differential equations 10.5.1 A geometrical perspective 10.5.2 Exercises (7–10) 10.5.3 Solution of separable differential equations 10.5.4 Exercises (11–17) 10.5.5 Solution of differential equations of form 10.5.6 Exercises (18–22) 10.5.7 Solution of exact differential equations 10.5.8 Exercises (23–30) 10.5.9 Solution of linear differential equations 10.5.10 Solution of the Bernoulli differential equations 10.5.11 Exercises (31–38) 10.6 Numerical solution of first-order ordinary differential equations 10.6.1 A simple solution method: Euler\'s method 10.6.2 Analysing Euler\'s method 10.6.3 Using numerical methods to solve engineering problems 10.6.4 Exercises (39–45) 10.7 Engineering application: analysis of damper performance 10.8 Linear differential equations 10.8.1 Differential operators 10.8.2 Linear differential equations 10.8.3 Exercises (46–54) 10.9 Linear constant-coefficient differential equations 10.9.1 Linear homogeneous constant-coefficient equations 10.9.2 Exercises (55–61) 10.9.3 Linear nonhomogeneous constant-coefficient equations 10.9.4 Exercises (62–65) 10.10 Engineering application: second-order linear constant-coefficient differential equations 10.10.1 Free oscillations of elastic systems 10.10.2 Free oscillations of damped elastic systems 10.10.3 Forced oscillations of elastic systems 10.10.4 Oscillations in electrical circuits 10.10.5 Exercises (66–73) 10.11 Numerical solution of second- and higher-order differential equations 10.11.1 Numerical solution of coupled first-order equations 10.11.2 State-space representation of higher-order systems 10.11.3 Exercises (74–79) 10.12 Qualitative analysis of second-order differential equations 10.12.1 Phase-plane plots 10.12.2 Exercises (80–81) 10.13 Review exercises (1–35) Chapter 11 Introduction to Laplace Transforms 11.1 Introduction 11.2 The Laplace transform 11.2.1 Definition and notation 11.2.2 Transforms of simple functions 11.2.3 Existence of the Laplace transform 11.2.4 Properties of the Laplace transform 11.2.5 Table of Laplace transforms 11.2.6 Exercises (1–3) 11.2.7 The inverse transform 11.2.8 Evaluation of inverse transforms 11.2.9 Inversion using the first shift theorem 11.2.10 Exercise (4) 11.3 Solution of differential equations 11.3.1 Transforms of derivatives 11.3.2 Transforms of integrals 11.3.3 Ordinary differential equations 11.3.4 Exercise (5) 11.3.5 Simultaneous differential equations 11.3.6 Exercise (6) 11.4 Engineering applications: electrical circuits and mechanical vibrations 11.4.1 Electrical circuits 11.4.2 Mechanical vibrations 11.4.3 Exercises (7–12) 11.5 Review exercises (1–18) Chapter 12 Introduction to Fourier Series 12.1 Introduction 12.2 Fourier series expansion 12.2.1 Periodic functions 12.2.2 Fourier\'s theorem 12.2.3 The Fourier coefficients 12.2.4 Functions of period 2 12.2.5 Even and odd functions 12.2.6 Even and odd harmonics 12.2.7 Linearity property 12.2.8 Convergence of the Fourier series 12.2.9 Exercises (1–7) 12.2.10 Functions of period T 12.2.11 Exercises (8–13) 12.3 Functions defined over a finite interval 12.3.1 Full-range series 12.3.2 Half-range cosine and sine series 12.3.3 Exercises (14–23) 12.4 Differentiation and integration of Fourier series 12.4.1 Integration of a Fourier series 12.4.2 Differentiation of a Fourier series 12.4.3 Exercises (24–26) 12.5 Engineering application: analysis of a slider–crank mechanism 12.6 Review exercises (1–21) Chapter 13 Data Handling and Probability Theory 13.1 Introduction 13.2 The raw material of statistics 13.2.1 Experiments and sampling 13.2.2 Data types 13.2.3 Graphs for qualitative data 13.2.4 Histograms of quantitative data 13.2.5 Alternative types of plot for quantitative data 13.2.6 Exercises (1–5) 13.3 Probabilities of random events 13.3.1 Interpretations of probability 13.3.2 Sample space and events 13.3.3 Axioms of probability 13.3.4 Conditional probability 13.3.5 Independence 13.3.6 Exercises (6–23) 13.4 Random variables 13.4.1 Introduction and definition 13.4.2 Discrete random variables 13.4.3 Continuous random variables 13.4.4 Properties of density and distribution functions 13.4.5 Exercises (24–31) 13.4.6 Measures of location and dispersion 13.4.7 Expected values 13.4.8 Independence of random variables 13.4.9 Scaling and adding random variables 13.4.10 Measures from sample data 13.4.11 Exercises (32–48) 13.5 Important practical distributions 13.5.1 The binomial distribution 13.5.2 The Poisson distribution 13.5.3 The normal distribution 13.5.4 The central limit theorem 13.5.5 Normal approximation to the binomial 13.5.6 Random variables for simulation 13.5.7 Exercises (49–65) 13.6 Engineering application: quality control 13.6.1 Attribute control charts 13.6.2 United States standard attribute charts 13.6.3 Exercises (66–67) 13.7 Engineering application: clustering of rare events 13.7.1 Introduction 13.7.2 Survey of near-misses between aircraft 13.7.3 Exercises (68–69) 13.8 Review exercises (1–13) Appendix I Tables Al.1 Some useful results Al.2 Trigonometric identities Al.3 Derivatives and integrals Al.4 Some useful standard integrals Answers to Exercises Index Back Cover