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Higher Engineering Mathematics / Second Edition

Contributor(s): Material type: TextPublication details: Newnes, 1995Edition: 2ndDescription: 438ISBN:
  • 750626275
Summary: This book deals with the mathematical concepts and skills that are essential to Engineering studies. Includes 500+ worked examples 800+ problems. Preface, Methods of Differentiation, Solving Equations by Iterative Methods, The Solution of Simultaneous Equations Using Determinants, Hyperbolic Functions, Complex Numbers, De Moivre' s Theorem, Maclaurin's Series, Triple Products of Vectors, Differentiation of Implicit Functions, Logarithmic Differentiation, Partial Differentiation, Revision of Integration, Integration by Parts, Numerical Integration, Homogeneous First Order Differential Equations, Linear First Order Differential Equations, Fourier Series for Periodic Functions of Period 2π, Even and Odd Functions and Half-Range Series, Four Series Over any Range, Introduction to Laplace Transforms, The Binomial and Poisson Distributions, The Normal Distribution, Linear Correlation, Linear Regression, Index.
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Books MC Athens Campus Library 510.2462 BIR (Browse shelf(Opens below)) 1 Available 9780000050472

This book deals with the mathematical concepts and skills that are essential to Engineering studies. Includes 500+ worked examples 800+ problems. Preface, Methods of Differentiation, Solving Equations by Iterative Methods, The Solution of Simultaneous Equations Using Determinants, Hyperbolic Functions, Complex Numbers, De Moivre' s Theorem, Maclaurin's Series, Triple Products of Vectors, Differentiation of Implicit Functions, Logarithmic Differentiation, Partial Differentiation, Revision of Integration, Integration by Parts, Numerical Integration, Homogeneous First Order Differential Equations, Linear First Order Differential Equations, Fourier Series for Periodic Functions of Period 2π, Even and Odd Functions and Half-Range Series, Four Series Over any Range, Introduction to Laplace Transforms, The Binomial and Poisson Distributions, The Normal Distribution, Linear Correlation, Linear Regression, Index.

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