approximation algorithm การใช้

• It can also be converted to an approximation algorithm to run faster.
• This allows several results about the hardness of approximation algorithms to be proven.
• Many approximation algorithms emerge from the linear programming relaxation of the integer program.
• The currently best known approximation algorithm achieves approximation ratio of 1.488.
• This is exactly the guarantee that it is a k-approximation algorithm.
• There are also efficient approximation algorithms for approximating on graphs of bounded degree.
• Approximation algorithms became a common method for coping with NP-Complete problems.
• The approximation algorithm is extended by the following way.
• He is responsible for a well-known approximation algorithm for graph colouring.
• Typically, the integrality gap translates into the approximation ratio of an approximation algorithm.
• This facilitates the development of efficient approximation algorithms.
• More involved techniques show that there are approximation algorithms with a slightly better approximation factor.
• In 1972, an approximation algorithm for real polynomial-time solvability of linear programs.
• Linear programming relaxation is a standard technique for designing approximation algorithms for hard optimization problems.
• His recent results include obtaining a 3 approximation algorithm for the capacitated facility location problem.
• The authors show that the above algorithm is a 3-approximation algorithm for correlation clustering.
• An approximation algorithm which gives good empirical results on real-life data is presented by.
• Hence, an approximation algorithm is the best that we can hope for in finite time.
• Like approximation algorithms, they can be used to more quickly solve tough NP-complete problems.
• If the algorithm is an approximation algorithm then the accuracy of the answer is another key factor.