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what is the best book to gain an introductory understanding of approximation algorithms? I'm looking for something along the lines of the Sedgewick, that has examples written in a well known language and not psuedocode.

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closed as primarily opinion-based by D.W., David Richerby, Nicholas Mancuso, Luke Mathieson, Juho Feb 16 '15 at 6:42

Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ Approximation algorithms is a theoretical topic. When it comes to practice, one uses heuristic algorithms. $\endgroup$ – Yuval Filmus Feb 15 '15 at 2:38
  • $\begingroup$ Best is too subjective. Subjective questions are not a good fit for this site; see cs.stackexchange.com/help/dont-ask. What are your criteria? And what research have you done? We expect you to do a significant amount of research before asking, and to show your research in the question. $\endgroup$ – D.W. Feb 15 '15 at 5:18
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    $\begingroup$ Try Vazirani's book, or Williamson-Shmoys. $\endgroup$ – Juho Feb 15 '15 at 7:56
  • $\begingroup$ Most books on approximation algorithms are designed for people who work in theory. Cormen leiserson rivest and Stein's introduction to algorithms' sections on approximation algorithms may be useful, but they use pseudocode. $\endgroup$ – Batman Feb 15 '15 at 15:16