'Deterministic polynomial time algorithms' presentation slideshows

Time Complexity

Time Complexity. Consider a deterministic Turing Machine which decides a language. For any string the computation of terminates in a finite amount of transitions. Initial state. Accept or Reject. Decision Time = #transitions. Initial state. Accept or Reject.

460 views • 35 slides

Sep 12, 2013

474 views • 34 slides

Time Complexity

Time Complexity. Consider a deterministic Turing Machine which decides a language. For any string the computation of terminates in a finite amount of transitions. Initial state. Accept or Reject. Decision Time = #transitions. Initial state. Accept or Reject.

434 views • 34 slides

Time Complexity

Time Complexity. We use a multitape Turing machine We count the number of steps until a string is accepted We use the O(k) notation. Example:. Algorithm to accept a string :. Use a two-tape Turing machine Copy the on the second tape Compare the and. Time needed:.

418 views • 33 slides

Time Complexity

Time Complexity. We use a multitape Turing machine We count the number of steps until a string is accepted We use the O(k) notation. Example:. Algorithm to accept a string :. Use a two-tape Turing machine Copy the on the second tape Compare the and. Time needed:.

341 views • 33 slides

Course summary

Course summary. Outline. In this course, we have seen: Data and data relationships Asymptotic analysis of algorithms Various data structures for storing Ordered/sorted data, Hierarchically ordered data, Unordered data, and Adjacency and partially ordered data,

305 views • 19 slides