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Mathematics for Electrical Engineering and Computing
Picture Of The Book:
Mathematics for Electrical Engineering and Computing.

This book is based on my notes from lectures to students of electrical, elec-
tronic, and computer engineering at South Bank University. It presents
a first year degree/diploma course in engineering mathematics with an
emphasis on important concepts, such as algebraic structure, symme-
tries, linearity, and inverse problems, clearly presented in an accessible
style. It encompasses the requirements, not only of students with a good
maths grounding, but also of those who, with enthusiasm and motiva-
tion, can make up the necessary knowledge. Engineering applications
are integrated at each opportunity. Situations where a computer should
be used to perform calculations are indicated and ‘hand’ calculations
are encouraged only in order to illustrate methods and important special
cases. Algorithmic procedures are discussed with reference to their effi-
ciency and convergence, with a presentation appropriate to someone new
to computational methods.
Science for electrical designing and figuring incorporates numerous cutting edge arithmetic applications, for example, sensible polynomial math, gatherings, and capacities, and shows both discrete and constant frameworks - especially powerful for computerized signal preparing (DSP). Moreover, since most contemporary architects are required to consider programming, the proper material for programming designing - bunch hypothesis, analytics, and relational word, language hypothesis, and diagram - is completely incorporated into the book.

Contents Of The Book:

Chapter 1: Sets and functions.
Chapter 2: Functions and their graphs.
Chapter 3: Problem solving and the art of the convincing argument.
Chapter 4: Boolean algebra.
Chapter 5: Trigonometric functions and waves.
Chapter 6: Differentiation.
Chapter 7: Integration.
Chapter 8: The exponential function.
Chapter 9: Vectors.
Chapter 10: Complex numbers.
Chapter 11: Maxima and minima and sketching functions.
Chapter 12: Sequences and series.
Chapter 13: Systems of linear equations, matrices, and determinants.
Chapter 14: Differential equations and difference equations.
Chapter 15: Laplace and z transforms.
Chapter 16: Fourier series.
Chapter 17: Functions of more than one variable.
Chapter 18: Vector calculus.
Chapter 19: Graph theory.
Chapter 20: Language theory.
Chapter 21: Probability and statistics.