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Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Chemical engineering
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Mathematics for Enzyme Reaction Kinetics and Reactor Performance (Paperback)
Loot Price: R7,176
Discovery Miles 71 760
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Mathematics for Enzyme Reaction Kinetics and Reactor Performance (Paperback)
Series: Enzyme Reaction Engineering
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Mathematics for Enzyme Reaction Kinetics and Reactor Performance is
the first set in a unique 11 volume-collection on Enzyme Reactor
Engineering. This two volume-set relates specifically to the wide
mathematical background required for systematic and rational
simulation of both reaction kinetics and reactor performance; and
to fully understand and capitalize on the modelling concepts
developed. It accordingly reviews basic and useful concepts of
Algebra (first volume), and Calculus and Statistics (second
volume). A brief overview of such native algebraic entities as
scalars, vectors, matrices and determinants constitutes the
starting point of the first volume; the major features of germane
functions are then addressed. Vector operations ensue, followed by
calculation of determinants. Finally, exact methods for solution of
selected algebraic equations - including sets of linear equations,
are considered, as well as numerical methods for utilization at
large. The second volume begins with an introduction to basic
concepts in calculus, i.e. limits, derivatives, integrals and
differential equations; limits, along with continuity, are further
expanded afterwards, covering uni- and multivariate cases, as well
as classical theorems. After recovering the concept of differential
and applying it to generate (regular and partial) derivatives, the
most important rules of differentiation of functions, in explicit,
implicit and parametric form, are retrieved - together with the
nuclear theorems supporting simpler manipulation thereof. The book
then tackles strategies to optimize uni- and multivariate
functions, before addressing integrals in both indefinite and
definite forms. Next, the book touches on the methods of solution
of differential equations for practical applications, followed by
analytical geometry and vector calculus. Brief coverage of
statistics-including continuous probability functions, statistical
descriptors and statistical hypothesis testing, brings the second
volume to a close.
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