Problem solving is an essential part of every scientific
discipline. It has two components: (1) problem identification and
formulation, and (2) the solution to the formulated problem. One
can solve a problem on its own using ad hoc techniques or by
following techniques that have produced efficient solutions to
similar problems. This required the understanding of various
algorithm design techniques, how and when to use them to formulate
solutions, and the context appropriate for each of them.This book
presents a design thinking approach to problem solving in computing
- by first using algorithmic analysis to study the specifications
of the problem, before mapping the problem on to data structures,
then on to the situatable algorithms. Each technique or strategy is
covered in its own chapter supported by numerous examples of
problems and their algorithms. The new edition includes a
comprehensive chapter on parallel algorithms, and many
enhancements.
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