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Books > Computing & IT > General theory of computing
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Computational Complexity and Feasibility of Data Processing and Interval Computations (Hardcover, 1998 ed.)
Loot Price: R5,398
Discovery Miles 53 980
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Computational Complexity and Feasibility of Data Processing and Interval Computations (Hardcover, 1998 ed.)
Series: Applied Optimization, 10
Expected to ship within 18 - 22 working days
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Targeted audience * Specialists in numerical computations,
especially in numerical optimiza tion, who are interested in
designing algorithms with automatie result ver ification, and who
would therefore be interested in knowing how general their
algorithms caIi in principle be. * Mathematicians and computer
scientists who are interested in the theory 0/ computing and
computational complexity, especially computational com plexity of
numerical computations. * Students in applied mathematics and
computer science who are interested in computational complexity of
different numerical methods and in learning general techniques for
estimating this computational complexity. The book is written with
all explanations and definitions added, so that it can be used as a
graduate level textbook. What this book .is about Data processing.
In many real-life situations, we are interested in the value of a
physical quantity y that is diflicult (or even impossible) to
measure directly. For example, it is impossible to directly measure
the amount of oil in an oil field or a distance to a star. Since we
cannot measure such quantities directly, we measure them
indirectly, by measuring some other quantities Xi and using the
known relation between y and Xi'S to reconstruct y. The algorithm
that transforms the results Xi of measuring Xi into an estimate fj
for y is called data processing.
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