Algorithms related computer Programming tutorial download
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size1.4 MB
- Uploaded Byuppog2
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- Last checkedMay. 21st '18
- Date uploadedJun. 21st '14
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Infohash : 54D9B0D9A470A5E255D64A3E4D500230F62938B2
This book covers techniques for the design and analysis of algorithms. The algorithmic
techniques covered include: divide and conquer, backtracking, dynamic programming, greedy
algorithms, and hill-climbing.
Any solvable problem generally has at least one algorithm of each of the following types:
1.obvious way;
2.methodical way;
3.clever way; and
4.miraculous way.
On the first and most basic level, the "obvious" solution might try to exhaustively search for
the answer. Intuitively, the obvious solution is the one that comes easily if you're familiar
with a programming language and the basic problem solving techniques.
The second level is the methodical level and is the heart of this book: after understanding
the material presented here you should be able to methodically turn most obvious algorithms
into better performing algorithms.
The third level, the clever level, requires more understanding of the elements involved in
the problem and their properties or even a reformulation of the algorithm (e.g., numerical
algorithms exploit mathematical properties that are not obvious). A clever algorithm may be
hard to understand by being non-obvious that it is correct, or it may be hard to understand
that it actually runs faster than what it would seem to require.
The fourth and final level of an algorithmic solution is the miraculous level: this is reserved
for the rare cases where a breakthrough results in a highly non-intuitive solution.
Naturally, all of these four levels are relative, and some clever algorithms are covered in this
book as well, in addition to the methodical techniques
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- Algorithms.pdf (1.4 MB)
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