Algorithm

The algorithms area of research is undergoing rapid change, owing to the rise in demand for efficient computing, data-oriented business decision-making, and scalable software systems. In order to foster the growth of these new trends, Pubrica provides or will provide enhanced services for algorithm researchers, including: design; testing algorithms for execution and optimization; and offering complete solutions for computer scientists, engineers and other practitioners in an academic environment.

Each of our services will contribute to the improved quality, accuracy and impact of research-based products throughout the full breadth of algorithms research. Algorithm employs algorithm concepts such as: algorithm design; data structures; computational complexity; and applied computing to create optimal methods for solving computational problems. By employing engineering principles to problem-solving techniques, optimization techniques for problem solving, data handling methods, and system performance, research can develop representations of the algorithmic problem space.

Among the various engineering principles employed are mathematical models; complexity evaluation; heuristic methods; and algorithm optimisation methods, to allow researchers to address the requirements associated with solving difficult computational problems.

Research projects in computational algorithms develop the basis for researchers to use advanced predictive and analytical tools to emulate problems, to analyse the effectiveness of their solution and to quantify the effectiveness of their solution.