recentpopularlog in

Algorithm

« earlier   
ON COMPUTING THE LENGTH OF LONGEST INCREASING SUBSEQUENCES
ON COMPUTING THE LENGTH OF LONGEST
INCREASING SUBSEQUENCES

Michael L. FREDMAN

Department of Mathematics, Massachusetts Institute of Technology,
Cambridge, Mass. 02139, USA

Received 14 Match 1974
Revised 4 June 1974

Let S = x1, x2, ..., xn be a sequence of n distinct elements from a linearly ordered set. We consider the problem of determining the length of the longest increasing subsequences of S. An algorithm which performs this task is described and is shown to perform n log n - n log log n + O(n) comparisons in its worst case. This worst case behavior is shown to be best possible.
programming  algorithm 
yesterday by mayoff
Big-O notation explained by a self-taught programmer
A function's Big-O notation is determined by how it responds to different inputs. How much slower is it if we give it a list of 1000 things to work on instead of a list of 1 thing?
programming  algorithm 
yesterday by jojobong
Big O Part 4 – Logarithmic Complexity - YouTube
Big O describes the way the time taken by a program (or memory or space usage) depends on the amount of the data it has been given to work on in the first place. Big O tells us how well a program scales. We say that Big O describes the ‘complexity’ of a program.
algorithm 
2 days ago by jojobong
A PAINLESS GUIDE TO CRC ERROR DETECTION ALGORITHMS
"Everything you wanted to know about CRC algorithms, but were afraid
to ask for fear that errors in your understanding might be detected."
crc  checksum  algorithm  _eimi 
2 days ago by raphman
Performing Efficient Broad Crawls with the AOPIC Algorithm
The Adaptive On-Line Page Importance Computation (AOPIC) algorithm is useful for prioritizing page visits during broad crawls. Learn how AOPIC iteratively estimates page importance from links between pages.
algorithm 
3 days ago by lenciel

Copy this bookmark:





to read