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schaum's advanced mathematics engineers scientists [pdf]

Schaum's Advanced Mathematics for Engineers and Scientists by Murray R. Spiegel

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Schaum's Advanced Mathematics for Engineers and Scientists written by Murray R. Spiegel , Ph.D., Former Professor and Chairman, Mathematics Department, Rensselaer Polytechnic Institute, Hartford Graduate Center.

This book contains most of the material covered in a typical first year mathematics course in an engineering or science programme. It devotes Chapters 1–10 to consolidating the foundations of basic algebra, elementary functions and calculusChapters 11–17 cover the range of more advanced topics that are normally treated in the first year, such As vectors and matrices, differential equations, partial differentiation and transform methods.
With widening participation in higher education, broader school curricula and the wide range of engineering programmes available, the challenges for both teachers and learners in engineering mathematics are now considerableAs a result, a substantial part of many first year engineering programmes is dedicated to consolidation of the basic mathematics material covered at pre-university levelHowever, individual students have widely varying backgrounds in mathematics and it is difficult for a single mathematics course to address everyone’s needsThis book is designed to help with this by covering the basics in a way that enables students and teachers to quickly identify the strengths and weaknesses of individual students and ‘top up’ where necessaryThe structure of the book is therefore somewhat different to the conventional textbook, and ‘To the student’ provides Some suggestions on how to use it.
Title: Schaum's Advanced Mathematics for Engineers and Scientists
Edition:
Author(s): Murray R. Spiegel
Publisher: McGraw-Hill
Series: Schaum's outline series
Year: 1971
Pages: 417
Type: PDF
Language: English
ISBN: 978-0-07-170242-3,0-07-170242-3,978-0-07-163540-0,0-07-163540-8
Country: US
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About Author :-
Author Dennis G. Zill Murray Ralph Spiegel was an author of technical books on applied mathematics, including a popular collection of Schaum's Outlines.
Spiegel was a native of Brooklyn and a graduate of New Utrecht High School. He received his bachelor's degree in mathematics and physics from Brooklyn College in 1943. He earned a master's degree in 1947 and doctorate in 1949, both in mathematics and both at Cornell University. He was a teaching fellow at Harvard University in 1943–1945, a consultant with Monsanto Chemical Company in the summer of 1946, and a teaching fellow at Cornell University from 1946 to 1949. He was a consultant in geophysics for Beers & Heroy in 1950, and a consultant in aerodynamics for Wright Air Development Center from 1950 to 1954. Spiegel joined the faculty of Rensselaer Polytechnic Institute in 1949 as an assistant professor. He became an associate professor in 1954 and a full professor in 1957. He was assigned to the faculty Rensselaer Polytechnic Institute of Hartford, CT, when that branch was organized in 1955, where he served as chair of the mathematics department. His PhD dissertation, supervised by Marc Kac, was titled On the Random Vibrations of Harmonically Bound Particles in a Viscous Medium.

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• Download PDF Schaum's Advanced Mathematics for Engineers and Scientists by Murray R. Spiegel NEW
• Download PDF Schaum's Outlines: Complex variables by Murray Spiegel, Seymour Lipschutz, John Schiller, Dennis Spellman NEW

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Schaum's Advanced Mathematics for Engineers and Scientists written by Murray R. Spiegel cover the following topics. 1. REVIEW OF FUNDAMENTAL CONCEPTS
Real numbers. Rules of algebra. Functions. Special types of functions. Limits. Continuity. Derivatives. Differentiation formulas. Integrals. Integration formulas. Sequences and series. Uniform convergence. Taylor series. Functions of two or more variables. Partial derivatives. Taylor series for functions of two or more variables. Linear equations and determinants. Maxima and minima. Method of Lagrange multipliers. Leibnitz
s rule for differentiating an integral. Multiple integrals. Complex numbers.
2. ORDINARY DIFFERENTIAL EQUATIONS
Definition of a differential equation. Order of a differential equation. Arbitrary constants. Solution of a differential equation. Differential equation of a family of curves. Special first order equations and solutions. Equations of higher order. Existence and uniqueness of solutions. Applications of differential equations. Some special applications. Mechanics. Electric circuits. Orthogonal trajectories. Deflection of beams. Miscellaneous problems. Numerical methods for solving differential equations.
3. LINEAR DIFFERENTIAL EQUATIONS
General linear differential equation of order n. Existence and uniqueness theorem. Operator notation. Linear operators. Fundamental theorem on linear differential equations. Linear dependence and Wronskians. Solutions of linear equations with constant coefficients. Non-operator techniques. The complementary or homogeneous solution. The particular solution. Method of undetermined coefficients. Method of variation of parameters. Operator techniques. Method of reduction of order. Method of inverse operators. Linear equations with variable coefficients. Simultaneous differential equations. Applications.
4. LAPLACE TRANSFORMS
Definition of a Laplace transform. Laplace transforms of some elementary functions. Sufficient conditions for existence of Laplace transforms. Inverse Laplace transforms. Laplace transforms of derivatives. The unit step function. Some special theorems on Laplace transforms. Partial fractions. Solutions of differential equations by Laplace transforms. Applications to physical problems. Laplace inversion formulas.
5. VECTOR ANALYSIS
Vectors and scalars. Vector algebra. Laws of vector algebra. Unit vectors. Rectangular unit vectors. Components of a vector. Dot or scalar product. Cross or vector product. Triple products. Vector functions. Limits, continuity and derivatives of vector functions. Geometric interpretation of a vector derivative. Gradient, divergence and curl. Formulas involving V. Orthogonal curvilinear coordinates. Jacobians. Gradient, divergence, curl and Laplacian in orthogonal curvilinear. Special curvilinear coordinates.
6. MULTIPLE, LINE AND SURFACE INTEGRALS AND INTEGRAL THEOREMS
Double integrals. Iterated integrals. Triple integrals. Transformations of multiple integrals. Line integrals. Vector notation for line integrals. Evaluation of line integrals. Properties of line integrals. Simple closed curves. Simply and multiply-connected regions. Green
s theorem in the plane. Conditions for a line integral to be independent of the path. Surface integrals. The divergence theorem. Stokes
theorem.
7. FOURIER SERIES
Periodic functions. Fourier series. Dirichlet conditions. Odd and even functions. Half range Fourier sine or cosine series. Parseval
s identity. Differentiation and integration of Fourier series. Complex notation for Fourier series. Complex notation for Fourier series. Orthogonal functions.
8. FOURIER INTEGRALS
The Fourier integral. Equivalent forms of Fourier
s integral theorem. Fourier transforms. Parseval
s identities for Fourier integrals. The convolution theorem.
9. GAMMA, BETA AND OTHER SPECIAL FUNCTIONS
The gamma function. Table of values and graph of the gamma function. Asymptotic formula for T(n). Miscellaneous results involving the gamma function. The beta function. Dirichlet integrals. Other special functions. Error function. Exponential integral. Sine integral. Cosine integral. Fresnel sine integral. Fresnel cosine integral. Asymptotic series or expansions.
10. BESSEL FUNCTIONS
Bessel's differential equation. Bessel functions of the first kind. Bessel functions of the second kind. Generating function for Jn(x). Recurrence formulas. Functions related to Bessel functions. Hankel functions of first and second kinds. Modified Bessel functions. Ber, bei, ker, kei functions. Equations transformed into Bessel
s equation. Asymptotic formulas for Bessel functions. Zeros of Bessel functions. Orthogonality of Bessel functions. Series of Bessel functions.
11. LEGENDRE FUNCTIONS AND OTHER ORTHOGONAL FUNCTIONS
Legendre's differential equation. Legendre polynomials. Generating function for Legendre polynomials. Recurrence formulas. Legendre functions of the second kind. Orthogonality of Legendre polynomials. Series of Legendre polynomials. Associated Legendre functions. Other special functions. Hermite polynomials. Laguerre polynomials. Sturm-Liouville systems.
12. PARTIAL DIFFERENTIAL EQUATIONS
Some definitions involving partial differential equations. Linear partial differential equations. Some important partial differential equations. Heat conduction equation. Vibrating string equation. Laplace
s equation. Longitudinal vibrations of a beam. Transverse vibrations of a beam. Methods of solving boundary-value problems. General solutions. Separation of variables. Laplace transform methods.
13. COMPLEX VARIABLES AND CONFORMAL MAPPING
Functions. Limits and continuity. Derivatives. Cauchy-Riemann equations. Integrals. Cauchy
s theorem. Cauchy
s integral formulas. Taylor
s series. Singular points. Poles. Laurent
s series. Residues. Residue theorem. Evaluation of definite integrals. Conformai mapping. Riemann
s mapping theorem. Some general transformations. Mapping of a half plane on to a circle. The Schwarz-Christoffel transformation. Solutions of Laplace
s equation by conformal mapping.
14. COMPLEX INVERSION FORMULA FOR LAPLACE TRANSFORMS
The complex inversion formula. The Bromwich contour. Use of residue theorem in finding inverse Laplace transforms. A sufficient condition for the integral around T to approach zero. Modification of Bromwich contour in case of branch points. Case of infinitely many singularities. Applications to boundary-value problems.
15. MATRICES
Definition of a matrix. Some special definitions and operations involving matrices. Determinants. Theorems on determinants. Inverse of a matrix. Orthogonal and unitary matrices. Orthogonal vectors. Systems of linear equations. Systems of n equations in n unknowns. Cramer
s rule. Eigenvalues and eigenvectors. Theorems on eigenvalues and eigenvectors.
16. CALCULUS OF VARIATIONS
Maximum or minimum of an integral. Euler
s equation. Constraints. The variational notation. Generalizations. Hamilton
s principle. Lagrange
s equations. Sturm-Liouville systems and Rayleigh-Ritz methods. Operator interpretation of matrices.


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