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    Kívánságlista
    Mathematical Techniques: An Introduction for the Engineering, Physical, and Mathematical Sciences

    Mathematical Techniques by Jordan, Dominic; Smith, Peter;

    An Introduction for the Engineering, Physical, and Mathematical Sciences

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    A termék adatai:

    • Kiadás sorszáma 4
    • Kiadó OUP Oxford
    • Megjelenés dátuma 2008. március 13.

    • ISBN 9780199282012
    • Kötéstípus Puhakötés
    • Terjedelem1008 oldal
    • Méret 246x190x47 mm
    • Súly 1980 g
    • Nyelv angol
    • Illusztrációk 500 figures
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    Kategóriák

    Rövid leírás:

    Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar. It introduces and builds on concepts in a progressive, carefully-layered way, and features over 2000 end of chapter problems, plus additional self-check questions.

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    Hosszú leírás:

    Mathematical concepts and theories underpin much of the physical sciences and engineering. Yet maths is a subject that many students find challenging, and even intimidating - despite it being so central to their field of study.

    Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar.

    By breaking the subject into small, modular chapters, the book introduces and builds on concepts in a progressive, carefully-layered way - always with an emphasis on how to use the power of maths to best effect, rather than on theoretical proofs of the maths presented.

    With a huge array of end of chapter problems, and new self-check questions, the fourth edition of Mathematical Techniques provides extensive opportunities for students to build their confidence in the best way possible: by using the maths for themselves.

    Online Resources
    The online resources feature the following materials for all users of the book:

    · Figures from the book in electronic format, ready to download
    · A downloadable solutions manual, featuring worked solutions to all end of chapter problems
    · Mathematica-based programs, relating to the Projects featured at the end of the book

    Review from previous edition This textbook offers an accessible and comprehensive grounding in many of the mathematical techniques required in the early stages of an engineering or science degree and also for the routine methods needed by first and second year mathematics students.

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    Tartalomjegyzék:

    PART 1. ELEMENTARY METHODS, DIFFERENTIATION, COMPLEX NUMBERS
    Standard functions and techniques
    Differentiation
    Further techniques for differentiation
    Applications of differentiation
    Taylor series and approximations
    Complex numbers
    PART 2. MATRIX AND VECTOR ALGEBRA
    Matrix algebra
    Determinants
    Elementary operations with vectors
    The scalar product
    Vector product
    Linear algebraic equations
    Eigenvalues and eigenvectors
    PART 3. INTEGRATION AND DIFFERENTIAL EQUATIONS
    Antidifferentiation and area
    The definite and indefinite integral
    Applications involving the integral as a sum
    Systematic techniques for integration
    Unforced linear differential equations with constant coefficients
    Forced linear differential equations
    Harmonic functions and the harmonic oscillator
    Steady forced oscillations: phasors, impedance, transfer functions
    Graphical, numerical, and other aspects of first-order equations
    Nonlinear differential equations and the phase plane
    PART 4. TRANSFORMS AND FOURIER SERIES
    The Laplace transform
    Laplace and z transforms: applications
    Fourier series
    Fourier transforms
    PART 5. MULTIVARIABLE CALCULUS
    Differentiation of functions of two variables
    Functions of two variables: geometry and formulae
    Chain rules, restricted maxima, coordinate systems
    Functions of any number of variables
    Double integration
    Line integrals
    Vector fields: divergence and curl
    PART 6. DISCRETE MATHEMATICS
    Sets
    Boolean algebra: logic gates and switching functions
    Graph theory and its applications
    Difference equations
    PART 7. PROBABILITY AND STATISTICS
    Probability
    Random variables and probability distributions
    Descriptive statistics
    PART 8. PROJECTS
    Applications projects using symbolic computing
    Self-tests: selected answers
    Answers to selected problems
    Appendices
    Further reading
    Index

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