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: [5 ed.] نویسندگان: K.A. Stroud, Dexter J. Booth سری: ISBN (شابک) : 9780831134495 ناشر: Industrial Press, Inc. سال نشر: 2011 تعداد صفحات: [1136] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 9 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.
Cover Contents Preface to the first edition Preface to the second edition Preface to the third edition Preface to the fifth edition Hints on using the book Useful background information Programme 1 Numerical solutions of equations and interpolation Learning outcomes Introduction 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 Interpolation Linear interpolation Graphical interpolation Gregory–Newton interpolation formula using forward finite differences Central differences Gregory–Newton backward differences Lagrange interpolation Revision summary 1 Can you? Checklist 1 Test exercise 1 Further problems 1 Programme 2 Laplace transforms 1 Learning outcomes Introduction Laplace transforms Theorem 1 The first shift theorem Theorem 2 Multiplying by t and t[sup(n)] 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 Revision 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 Revision 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 function – 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 Revision 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) Translation Final value theorem The initial value theorem The derivative of the transform Inverse transforms Solving difference equations Sampling Revision 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 Exponential response The transfer function Differential equations Responses of a discrete system The discrete unit impulse Arbitrary input Exponential response Transfer function Difference equations Revision summary 6 Can you? Checklist 6 Test exercise 6 Further problems 6 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 Orthogonal functions Fourier series Dirichlet conditions Effect of harmonics Gibbs' phenomenon Sum of a Fourier series at a point of discontinuity Revision summary 7 Can you? Checklist 7 Test exercise 7 Further problems 7 Programme 8 Fourier series 2 Learning outcomes Functions with periods other than 2 Function with period T Fourier coefficients 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 1/2a[sub(0)] Half-range series with arbitrary period Revision 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 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 Revision 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 Choice of functions for u and v Power series solutions Leibnitz–Maclaurin method Cauchy–Euler equi-dimensional equations Revision 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 Indicial equation Revision 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 functions Graphs of Bessel functions J[sub(0)](x) and J[sub(1)](x) Legendre's equation Legendre polynomials Rodrigue's formula and the generating function Sturm–Liouville systems Orthogonality Legendre's equation revisited Polynomials as a finite series of Legendre polynomials Revision 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 Revision summary 13 Can you? Checklist 13 Test exercise 13 Further problems 13 Programme 14 Partial differentiation Learning outcomes Small increments Taylor's theorem for one independent variable Taylor's theorem for two independent variables Small increments Rates of change Implicit functions Change of variables Inverse functions General case Stationary values of a function Maximum and minimum values Saddle point Lagrange undetermined multipliers Functions with three independent variables Revision summary 14 Can you? Checklist 14 Test exercise 14 Further problems 14 Programme 15 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 The n = 0 case Revision summary 15 Can you? Checklist 15 Test exercise 15 Further problems 15 Programme 16 Matrix algebra Learning outcomes Singular and non-singular matrices Rank of a matrix Elementary operations and equivalent matrices Consistency of a set of equations Uniqueness of solutions Solution of sets of equations Inverse method Row transformation method Gaussian elimination method Triangular decomposition method Using an electronic spreadsheet Comparison of methods Matrix transformation Rotation of axes Revision summary 16 Can you? Checklist 16 Test exercise 16 Further problems 16 Programme 17 Systems of ordinary differential equations Learning outcomes Eigenvalues and eigenvectors Introduction Cayley–Hamilton theorem Systems of first-order ordinary differential equations Diagonalisation of a matrix Systems of second-order differential equations Revision summary 17 Can you? Checklist 17 Test exercise 17 Further problems 17 Programme 18 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 Second partial derivatives Time-dependent equations The Crank–Nicolson procedure Dimensional analysis Revision summary 18 Can you? Checklist 18 Test exercise 18 Further problems 18 Programme 19 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 Revision summary 19 Can you? Checklist 19 Test exercise 19 Further problems 19 Programme 20 Multiple integration 2 Learning outcomes Double integrals Surface integrals Space coordinate systems Volume integrals Change of variables in multiple integrals Curvilinear coordinates Transformation in three dimensions Revision summary 20 Can you? Checklist 20 Test exercise 20 Further problems 20 Programme 21 Integral functions Learning outcomes Integral functions The gamma function The beta function Relation 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 Revision summary 21 Can you? Checklist 21 Test exercise 21 Further problems 21 Programme 22 Vector analysis 1 Learning outcomes Introduction Triple products 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 field) 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 Revision summary 22 Can you? Checklist 22 Test exercise 22 Further problems 22 Programme 23 Vector analysis 2 Learning outcomes Line integrals Scalar field Vector field Volume integrals Surface integrals Scalar fields Vector fields Conservative vector fields Divergence theorem (Gauss' theorem) Stokes' theorem Direction of unit normal vectors to a surface S Green's theorem Revision summary 23 Can you? Checklist 23 Test exercise 23 Further problems 23 Programme 24 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 Revision summary 24 Can you? Checklist 24 Test exercise 24 Further problems 24 Programme 25 Complex analysis 1 Learning outcomes Functions of a complex variable 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 Non-linear transformations Mapping of regions Revision summary 25 Can you? Checklist 25 Test exercise 25 Further problems 25 Programme 26 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 Revision summary 26 Can you? Checklist 26 Test exercise 26 Further problems 26 Programme 27 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 Revision summary 27 Can you? Checklist 27 Test exercise 27 Further problems 27 Programme 28 Optimization and linear programming Learning outcomes Optimization Linear programming (or linear optimization) Linear inequalities Graphical representation of linear inequalities The simplex method Setting up the simplex tableau Computation of the simplex Simplex with three problem variables Artificial variables Minimisation Applications Revision summary 28 Can you? Checklist 28 Test exercise 28 Further problems 28 Appendix Answers Index