Cost Estimation of Dynamic Programming Algorithm For Solution of Graphical as well as Network Problems for minimum path

Abstract

The cost estimation for any algorithm defines the running time for that algorithm means to say how much time it taken to produce the solution. It defines the performance of algorithm. The dynamic programming approach is a problem solving technique that solves problems by dividing them into sub problems. Dynamic programming is used when the sub problems are not independent e.g. when the share the same sub problems. Multistage decision policy with recursive approach will provides a well-organized way while using Dynamic programming. In multistage decision process the problem is divided into several parts called as sub problems and then each sub problem will be solved individually and the final result will be obtained by combining the results of all the sub problems. With the help of asymptotic notations, calculate the running time complexity of dynamic programming method for solution of graphical as well as network problems for the minimum path between nodes.

Authors and Affiliations

Anand Kumar Dixit, Manish Jain, Adarsh Srivastava and Ashish Misra

Keywords

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  • EP ID EP26593
  • DOI -
  • Views 326
  • Downloads 6

How To Cite

Anand Kumar Dixit, Manish Jain, Adarsh Srivastava and Ashish Misra (2012). Cost Estimation of Dynamic Programming Algorithm For Solution of Graphical as well as Network Problems for minimum path. International Journal of Engineering, Science and Mathematics, 2(3), -. https://europub.co.uk/articles/-A-26593