This project demonstrates and compares two advanced search algorithms for sorted arrays: Ternary Search and Interpolation Search. The implementation includes both algorithms in C++ with a test driver ...

Bilinear interpolation is suitable for real-time processing because the calculations are simple, there is hardware support that can be executed with one instruction on a GPU, and it can be ...

Parameter-reduced frame interpolation using machine learning Motion blur can be caused by interpolating frames, algorithms can help with this problem. Published: 5 June 2023 ...

If your algorithm is slow, it's likely due to a high time complexity, which could be a result of inefficient data structures, unnecessary computations, or a suboptimal approach to solving the problem.

However the major issue here is to associate to each model a robust algorithm to obtain the fully extrapolated data maps from the raw manufacturer's data. The major outcomes of the study are: - new ...

Fred T. Krogh, Efficient Algorithms for Polynomial Interpolation and Numerical Differentiation, Mathematics of Computation, Vol. 24, No. 109 (Jan., 1970), pp. 185-190 ...

Bilinear interpolation was chosen for its simplicity of computation and good quality of scale. Experimental results show that compared with other methods, the average peak signal-to-noise ratio of the ...

Our approach Although AI algorithms have led to state-of-the-art performance in the field, there remains an issue regarding computational complexity and memory usage.