دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: [6 ed.]
نویسندگان: Ken Stroud
سری:
ISBN (شابک) : 9781352010251, 9781352010268
ناشر:
سال نشر: 2020
تعداد صفحات: [1248]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 25 Mb
در صورت تبدیل فایل کتاب Advanced 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 پیشرفته 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.
Summary of contents Contents Preface to the first edition Preface to the sixth edition New to this edition Acknowledgements Hints on using the book Useful background information Programme 1 Numerical solutions of equations and interpolation Learning outcomes Introduction The Fundamental Theorem of Algebra The Fundamental Theorem of Algebra Relations between the coefficients and the roots of a polynomial equation Cubic equations Transforming a cubic to reduced form Tartaglia’s solution for a real root Numerical methods Bisection Numerical solution of equations by iteration Using a spreadsheet Relative addresses Newton–Raphson iterative method Tabular display of results Modified Newton–Raphson method And now . . . Interpolation Linear interpolation Graphical interpolation Gregory–Newton interpolation formula using forward finite differences Central differences Gregory–Newton backward differences Lagrange interpolation Review summary 1 Can you? Checklist 1 Test exercise 1 Further problems 1 Programme 2 Laplace transforms 1 Learning outcomes Introduction Laplace transforms Differentiating and integrating a transform Theorem 1 The first shift theorem Theorem 2 Multiplying by t and tn Theorem 3 Dividing by t Inverse transforms Rules of partial fractions The ‘cover up’ rule Table of inverse transforms Solution of differential equations by Laplace transforms Transforms of derivatives Solution of first-order differential equations Solution of second-order differential equations Simultaneous differential equations Review summary 2 Can you? Checklist 2 Test exercise 2 Further problems 2 Programme 3 Laplace transforms 2 Learning outcomes Introduction Heaviside unit step function Unit step at the origin Effect of the unit step function Laplace transform of u(t – c) Laplace transform of u(t – c).f(t – c ) (the second shift theorem) Differential equations involving the unit step function Convolution The convolution theorem Review summary 3 Can you? Checklist 3 Test exercise 3 Further problems 3 Programme 4 Laplace transforms 3 Learning outcomes Laplace transforms of periodic functions Periodic functions Inverse transforms The Dirac delta – the unit impulse Graphical representation Laplace transform of δ(t – a) The derivative of the unit step function Differential equations involving the unit impulse Harmonic oscillators Damped motion Forced harmonic motion with damping Resonance Review summary 4 Can you? Checklist 4 Test exercise 4 Further problems 4 Programme 5 Difference equations and the Z transform Learning outcomes Introduction Sequences Difference equations Solving difference equations Solution by inspection The particular solution The Z transform Table of Z transforms Properties of Z transforms Linearity First shift theorem (shifting to the left) Second shift theorem (shifting to the right) Scaling Final value theorem The initial value theorem The derivative of the transform Summary Inverse transforms Solving difference equations Sampling Review summary 5 Can you? Checklist 5 Test exercise 5 Further problems 5 Programme 6 Introduction to invariant linear systems Learning outcomes Invariant linear systems Systems Input-response relationships Linear systems Time-invariance of a continuous system Shift-invariance of a discrete system Differential equations The general nth order equation Zero-input response and zero-state response Zero-input, zero-response Time-invariance Responses of a continuous system Impulse response Arbitrary input Convolution Exponential response The transfer function H(s) Differential equations Responses of a discrete system The discrete unit impulse Arbitrary input Exponential response Transfer function Difference equations Review summary 6 Can you? Checklist 6 Test exercise 6 Further problems Programme 7 Fourier series 1 Learning outcomes Introduction Periodic functions Graphs of y = Asin nx Harmonics Non-sinusoidal periodic functions Analytic description of a periodic function Integrals of periodic functions Summary Orthogonal functions Fourier series Summary Dirichlet conditions Effect of harmonics Gibbs’ phenomenon Sum of a Fourier series at a point of discontinuity Review summary 7 Can you? Checklist 7 Test exercise 7 Further problems 7 Programme 8 Fourier series 2 Learning outcomes Odd and even functions and half-range series Odd and even functions Products of odd and even functions Half-range series Series containing only odd harmonics or only even harmonics Significance of the constant term 1/2 a0 Functions with periods other than 2π Functions with period T Fourier coefficients Half-range series with arbitrary period Review summary 8 Can you? Checklist 8 Test exercise 8 Further problems 8 Programme 9 Introduction to the Fourier transform Learning outcomes Complex Fourier series Introduction Complex exponentials Complex spectra The two domains Continuous spectra Fourier’s integral theorem Some special functions and their transforms Even functions Odd functions Top-hat function The Dirac delta (refer to Programme 4, Frames 29ff) The triangle function Alternative forms Properties of the Fourier transform Linearity Time shifting Frequency shifting Time scaling Symmetry Differentiation The Heaviside unit step function Convolution The convolution theorem Fourier cosine and sine transforms Table of transforms Review summary 9 Can you? Checklist 9 Test exercise 9 Further problems 9 Programme 10 Power series solutions of ordinary differential equations 1 Learning outcomes Higher derivatives Leibnitz theorem – nth derivative of a product of two functions Choice of function for u and v Power series solutions Leibnitz–Maclaurin method Cauchy–Euler equi-dimensional equations Review summary 10 Can you? Checklist 10 Test exercise 10 Further problems 10 Programme 11 Power series solutions of ordinary differential equations 2 Learning outcomes Introduction Solution of differential equations by the method of Frobenius The indicial equation Review summary 11 Can you? Checklist 11 Test exercise 11 Further problems 11 Programme 12 Power series solutions of ordinary differential equations 3 Learning outcomes Introduction Bessel’s equation Gamma and Bessel functions Graphs of Bessel functions J0(x) and J1(x) Legendre’s equation Legendre polynomials Rodrigue’s formula and the generating function Sturm–Liouville systems Orthogonality Summary Legendre’s equation revisited Polynomials as a finite series of Legendre polynomials Review summary 12 Can you? Checklist 12 Test exercise 12 Further problems 12 Programme 13 Numerical solutions of ordinary differential equations Learning outcomes Introduction Taylor’s series Function increment First-order differential equations Euler’s method The exact value and the errors Graphical interpretation of Euler’s method The Euler–Cauchy method – or the improved Euler method Euler–Cauchy calculations Runge–Kutta method Second-order differential equations Euler second-order method Runge–Kutta method for second-order differential equations Predictor–corrector methods Review summary 13 Can you? Checklist 13 Test exercise 13 Further problems 13 Programme 14 Matrix algebra Learning outcomes Singular and non-singular matrices Rank of a matrix Elementary operations and equivalent matrices Consistency of a set of linear equations Uniqueness of solutions Solution of sets of linear equations Inverse method Row transformation method Gaussian elimination method Triangular decomposition method Using an electronic spreadsheet Comparison of methods Matrix transformation Rotation of axes Review summary 14 Can you? Checklist 14 Test exercise 14 Further problems 14 Programme 15 Systems of ordinary differential equations Learning outcomes Eigenvalues of 2 x 2 matrices Characteristic equation Sum and product of eigenvalues Eigenvectors Systems of linear, first-order ordinary differential equations Summary Repeated eigenvalues Diagonalization of a matrix Modal matrix Spectral matrix Systems of linear, second-order differential equations Summary Review summary 15 Can you? Checklist 15 Test exercise 15 Further problems 15 Programme 16 Direction fields Learning outcomes Differential equations Introduction Family of solutions Direction fields DFIELD Introduction A specific solution Family of solutions Autonomous differential equations Equilibrium solutions The phase line Summary Semi-stable solution Non-autonomous equations Introduction Review summary 16 Can you? Checklist 16 Test exercise 16 Further problems 16 Programme 17 Phase plane analysis Learning outcomes Phase plane analysis Introduction Mass-spring system PPLANE Phase plane analysis Eigenvalues and the phase plane Imaginary eigenvalues Two complex eigenvalues Behaviour around the critical point Two real and negative eigenvalues Behaviour around the critical point Two real and positive eigenvalues Two real eigenvalues of different signs Two identical eigenvalues Star node Singular coefficient matrix The inhomogeneous case Critical point moved to the origin Review summary 17 Can you? Checklist 17 Test exercise 17 Further problems 17 Programme 18 Nonlinear systems Learning outcomes Multiple critical points Introduction Linearization Problems with linearization Review summary Can you? Checklist 18 Test exercise 18 Further problems 18 Programme 19 Dynamical systems Learning outcomes Dynamical systems Introduction Predator-prey problems Competition within a single population Two non-interacting populations Two interacting populations Second-order differential equations Undamped pendulum: small oscillations Undamped pendulum: no approximation Damped pendulum Bifurcation First-order equations Second-order equations Limit cycles The Van der Pol equation Review summary 19 Can you? Checklist 19 Test exercise 19 Further problems 19 Programme 20 Partial differentiation Learning outcomes Small increments Taylor’s theorem for one independent variable Taylor0s theorem for two independent variables Small increments Rates of change Implicit functions Change of variables Inverse functions General case Summary Stationary values of a function Maximum and minimum values Saddle point Lagrange undetermined multipliers Functions with three independent variables Review summary 20 Can you? Checklist 20 Test exercise 20 Further problems 20 Programme 21 Partial differential equations Learning outcomes Introduction Partial differential equations Solution by direct integration Initial conditions and boundary conditions The wave equation Solution of the wave equation Solution by separating the variables The heat conduction equation for a uniform finite bar Solutions of the heat conduction equation Laplace’s equation Solution of the Laplace equation Laplace’s equation in plane polar coordinates The problem Separating the variables Summary The n = 0 case Revision summary 21 Can you? Checklist 21 Test exercise 21 Further problems 21 Programme 22 Numerical solutions of partial differential equations Learning outcomes Introduction Numerical approximation to derivatives Functions of two real variables Grid values Computational molecules Summary of procedures Derivative boundary conditions Second-order partial differential equations Elliptic equations Hyperbolic equations Parabolic equations Second partial derivatives Time-dependent equations The Crank–Nicolson procedure Dimensional analysis Review summary 22 Can you? Checklist 22 Test exercise 22 Further problems 22 Programme 23 Multiple integration 1 Learning outcomes Introduction Differentials Exact differential Integration of exact differentials Area enclosed by a closed curve Line integrals Alternative form of a line integral Properties of line integrals Regions enclosed by closed curves Line integrals round a closed curve Line integral with respect to arc length Parametric equations Dependence of the line integral on the path of integration Exact differentials in three independent variables Green’s theorem Review summary 23 Can you? Checklist 23 Test exercise 23 Further problems 23 Programme 24 Multiple integration 2 Learning outcomes Double integrals Surface integrals Three dimensional coordinate systems Cartesian coordinates Cylindrical coordinates Spherical coordinates Element of volume in the three coordinate systems Volume integrals Change of variables in multiple integrals Curvilinear coordinates Transformation in three dimensions Review summary 24 Can you? Checklist 24 Test exercise 24 Further problems 24 Programme 25 Integral functions Learning outcomes Gamma and beta functions The gamma function Review The beta function Reduction formulas Review Relationship between the gamma and beta functions Application of gamma and beta functions Duplication formula for gamma functions The error function The graph of erf (x) The complementary error function erfc (x) Elliptic functions Standard forms of elliptic functions Complete elliptic functions Alternative forms of elliptic functions Review summary 25 Can you? Checklist 25 Test exercise 25 Further problems 25 Programme 26 Vector analysis 1 Learning outcomes Introduction Triple products Scalar triple product of three vectors Properties of scalar triple products Coplanar vectors Vector triple products of three vectors Differentiation of vectors Differentiation of sums and products of vectors Unit tangent vectors Partial differentiation of vectors Integration of vector functions Scalar and vector fields grad (gradient of a scalar function) Directional derivatives Unit normal vectors grad of sums and products of scalars div (divergence of a vector function) curl (curl of a vector function) Summary of grad, div and curl Multiple operations Review summary 26 Can you? Checklist 26 Test exercise 26 Further problems 26 Programme 27 Vector analysis 2 Learning outcomes Line integrals Scalar field Vector field Volume integrals Surface integrals Scalar fields Vector fields Conservative vector fields Divergence theorem Stokes’ theorem Direction of unit normal vectors to a surface S Green’s theorem Review summary 27 Can you? Checklist 27 Test exercise 27 Further problems 27 Programme 28 Vector analysis 3 Learning outcomes Curvilinear coordinates Orthogonal curvilinear coordinates Orthogonal coordinate systems in space Scale factors Scale factors for coordinate systems General curvilinear coordinate system (u,v,w) Transformation equations Element of arc ds and element of volume dV in orthogonal curvilinear coordinates grad, div and curl in orthogonal curvilinear coordinates Particular orthogonal systems Review summary 28 Can you? Checklist 28 Test exercise 28 Further problems 28 Programme 29 Complex analysis 1 Learning outcomes Functions of a complex variable Complex mapping Complex mapping Mapping of a straight line in the z-plane onto the w-plane under the transformation w = f(z) Types of transformation of the form w = az + b Nonlinear transformations Mapping of regions Review summary 29 Can you? Checklist 29 Test exercise 29 Further problems 29 Programme 30 Complex analysis 2 Learning outcomes Differentiation of a complex function Regular function Cauchy–Riemann equations Harmonic functions Complex integration Contour integration – line integrals in the z-plane Cauchy’s theorem Deformation of contours at singularities Conformal transformation (conformal mapping) Conditions for conformal transformation Critical points Schwarz–Christoffel transformation Open polygons Review summary 30 Can you? Checklist 30 Text exercise 30 Further problems 30 Programme 31 Complex analysis 3 Learning outcomes Maclaurin series Radius of convergence Singular points Poles Removable singularities Circle of convergence Taylor’s series Laurent’s series Residues Calculating residues Integrals of real functions Integrals of the form Review summary 31 Can you? Checklist 31 Test exercise 31 Further problems 31 Programme 32 Optimization and linear programming Learning outcomes Optimization Linear programming (or linear optimization) Linear inequalities Graphical representation of linear inequalities Solver Solver parameters Applications Nonlinear programming Review summary 32 Can you? Checklist 32 Test exercise 32 Further problems 32 Appendix 1 Green’s theorem Proof of Green’s theorem 2 Proof that sec 3 Vector triple products 4 Divergence theorem (Gauss’ theorem) 5 Stokes’ theorem Proof of Stokes’ theorem Answers Test exercise 1 (page 42) Further problems 1 (page 43) Test exercise 2 (page 90) Further problems 2 (page 91) Test exercise 3 (page 121) Further problems 3 (page 122) Test exercise 4 (page 154) Further problems 4 (page 155) Test exercise 5 (page 191) Further problems 5 (page 191) Test exercise 6 (page 236) Further problems 6 (page 237) Test exercise 7 (page 266) Further problems 7 (page 267) Test exercise 8 (page 297) Further problems 8 (page 298) Test exercise 9 (page 334) Further problems 9 (page 335) Test exercise 10 (page 357) Further problems 10 (page 357) Test exercise 11 (page 376) Further problems 11 (page 376) Test exercise 12 (page 394) Further problems 12 (page 395) Text exercise 13 (page 434) Further problems 13 (page 435) Test exercise 14 (page 478) Further problems 14 (page 479) Test exercise 15 (page 510) Further problems 15 (page 510) Test exercise 16 (page 536) Further problems 16 (page 536) Test exercise 17 (page 577) Further problems 17 (page 578) Test exercise 18 (page 600) Further problems 18 (page 600) Test exercise 19 (page 635) Further problems 19 (page 635) Test exercise 20 (page 680) Further problems 20 (page 680) Test exercise 21 (page 717) Further problems 21 (page 718) Test exercise 22 (page 761) Further problems 22 (page 762) Test exercise 23 (page 815) Further problems 23 (page 816) Test exercise 24 (page 858) Further problems 24 (page 858) Test exercise 25 (page 895) Further problems 25 (page 895) Text exercise 26 (page 941) Further problems 26 (page 941) Test exercise 27 (page 991) Further problems 27 (page 992) Test exercise 28 (page 1019) Further problems 28 (page 1019) Test exercise 29 (page 1058) Further problems 29 (page 1059) Test exercise 30 (page 1106) Further problems 30 (page 1107) Test exercise 31 (page 1136) Further problems 31 (page 1137) Test exercise 32 (page 1160) Further problems 32 (page 1161) Index