The phrase "algorithm for achieving" is correct and usable in written English.
It can be used when discussing a specific method or process designed to reach a particular goal or outcome.
Example: "The algorithm for achieving optimal results in data analysis involves several key steps."
Alternatives: "method for attaining" or "procedure for reaching".
Ramanathan et al. [11] proposed a centralized greedy algorithm for achieving two-connectivity that iteratively merges pairs of mutually connected network components to construct the whole network.
Although these questions have been addressed often in the past, a definite, simple predicting algorithm for achieving these goals does not exist so far.
Therefore, we propose a resource allocation algorithm for achieving three objectives: First, for each user that requires a regular service, the system must guarantee the constant bit rate required for the regular service.
In what follows, we first show how to exploit the GNE analysis provided so far to derive a practical power control algorithm for achieving synchronization in a distributed manner.
The theoretical analysis of the finite game is adopted to derive an iterative and distributed power allocation algorithm for achieving synchronization under the assumption of a limited feedback from the BS.
The analysis focuses Duato's fully adaptive routing algorithm [IEEE Trans. Parall. Distrib. Syst. 4 (2) (1993) 320], which is widely accepted as the most general algorithm for achieving adaptivity in wormhole-routed networks while allowing for an efficient router implementation.
Most real-time multiprocessor scheduling algorithms for achieving optimal processor utilization, adhere to the fairness rule.
We also devise scheduling algorithms for achieving (approximately) optimal makespan or reliability.
For a given computational task T and a given value of ε there will be numerous differentially private algorithms for achieving T in an ε-differentially private way.
A proximity-based routing mechanism is designed to incorporate these algorithms for achieving better web server performance in a WAN environment.
The challenge faced when developing such a scheme would be selecting the measurement locations and developing the algorithms for achieving robust real time coherency determination when the coherent generator groups are variable.
