Dynamic problem (algorithms)

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Dynamic problems in computational complexity theory are problems stated in terms of the changing input data. In the most general form a problem in this category is usually stated as follows:

  • Given a class of input objects, find efficient algorithms and data structures to answer a certain query about a set of input objects each time the input data is modified, i.e., objects are inserted or deleted.

Problems of this class have the following measures of complexity

  • Memory space to store the required data structure
  • Initial construction time for the data structure
  • Insertion time, time required for the update of the data structure when one more input element is added
  • Deletion time, time required for the update of the data structure when an input element is deleted
  • Query time: time required to answer
  • Other operations specific to the problem in question

The overall set of computations for a dynamic problem is called a dynamic algorithm.

Many algorithmic problems stated in terms of fixed input data (called static problems in this context and solved by static algorithms) have meaningful dynamic versions.

Online algorithms present a special case of dynamic algorithms, in which only additions of elements are allowed, possibly starting from the empty/trivial input data.


Maximal element[edit]

Static problem 
For a set of N numbers find the maximal one.

The problem may be easily solved in O(N) time.

Dynamic problem 
For an initial set of N numbers, dynamically maintain the maximal one when insertion and deletions are allowed.

A well-known solution for this problem is using a self-balancing binary search tree. It takes space O(N), may be initially constructed in time O(N log N) and provides insertion, deletion and query times in O(log N).

The priority queue maintenance problem 
It is a simplified version of this dynamic problem, where one requires to delete only the maximal element. This version may do with simpler data structures.


Given a graph, maintain its parameters, such as connectivity, maximal degree, shortest paths etc., when insertion and deletion of its edges are allowed.[1]

See also[edit]


  1. ^ D. Eppstein, Z. Galil, and G. F. Italiano. "Dynamic graph algorithms". In CRC Handbook of Algorithms and Theory of Computation, Chapter 22. CRC Press, 1997.