The phrase "algorithm efficient" is not correct in standard written English.
It is likely intended to describe an algorithm that operates with a high level of efficiency, but it needs to be rephrased for clarity.
Example: "The algorithm is efficient in processing large datasets quickly."
Alternatives: "efficient algorithm" or "algorithmic efficiency".
To make the algorithm efficient, we propose storing texture samples and their dependents in a pyramidal cache.
Our use of a run-length encoded representation of the voxel grid and synchronized processing of voxel and resampled range image scanlines make the algorithm efficient.
The optimization method uses the Nelder Mead algorithm, efficient to solve non-linear problems.
Moreover, this kind of short particle code makes P-MEC algorithm efficient even for reconstructing long haplotypes.
Although Fourier series approximation is ubiquitous in computational physics owing to the Fast Fourier Transform (FFT) algorithm, efficient techniques for the fast evaluation of a three-dimensional truncated Fourier series at a set of arbitrary points are quite rare, especially in MATLAB language.
The pyramidal representation in the local model for spatial neighbors makes this algorithm efficient.
Research Areas: Design and analysis of algorithms, particularly approximation algorithms, on-line algorithms and efficient algorithms for dealing with large volumes of data.
One key to making parallel algorithms efficient is to minimize the amount of communication between cores.
"Computer scientists are used to there being ways to prove problem set answers correct or algorithms efficient," she said.
Research Interests: Uses of randomness in complexity theory and algorithms; Efficient algorithms for finding approximate solutions to NP-hard problems (or proving that they don't exist); Cryptography.
Here is a list of interesting words and phrases: Machine Learning, Natural Language Processing, Randomized Algorithms, Efficient Indexing, Information Retrieval, Information Extraction, Distributional Semantics, Nonparametric Methods, SVMs, Structured Prediction, Dynamic Programming.
