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Mathematics for Electrical Engineering and Computing - Product Image

Mathematics for Electrical Engineering and Computing

  • Published: June 2003
  • Region: Global
  • 576 Pages
  • Elsevier Science and Technology

Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processing (DSP). In addition, as most modern engineers are required to study software, material suitable for Software Engineering - set theory, predicate and prepositional calculus, language and graph theory - is fully integrated into the book.

Excessive technical detail and language are avoided, recognising that the real requirement for practising engineers is the need to understand the applications of mathematics in everyday engineering contexts. Emphasis is given to an appreciation of the fundamental concepts behind the mathematics, for problem solving and undertaking critical analysis of results, whether using a calculator or a computer.

The text is backed up by numerous exercises and worked examples throughout, firmly rooted in engineering practice, ensuring that all mathematical theory introduced is directly relevant to real-world engineering. The book includes introductions to advanced topics such as Fourier analysis, vector READ MORE >

Preface.
Acknowledgement.

Sets, functions and calculus:
Sets and Functions.
Functions and their graphs.
Problem solving and the art of the convincing argument.
Boolean algebra.
Trigonometric functions and waves.
Differentiation.
Integration.
The exponential function.
Vectors.
Complex numbers.
Maxima and minima and sketching functions.
Sequences and series.

Systems:
Systems of linear equations, matrices and determinants.
Ordinary differential equations and difference equations.
Laplace and z transforms.
Fourier series.

Functions of more than one variable:
Functions of more than one variable.
Vector calculus.

Graph and Language Theory:
Graph Theory.
Language Theory.

Probability and Statistics:
Probability and Statistics.

Answers to Exercises.
Index.

Attenborough, Mary P

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