The growth rate of an algorithm is a function that describes how the running time or space usage of the algorithm changes as the input size increases. For example, if an algorithm takes n steps to ...

Let f(n) and g(n) be asymptotically nonnegative functions. Using the basic definition of Θ- notation ... Prove that the running time of an algorithm is Θ(g(n)) if and only if its worst-case running ...

Abstract: Due to the fast growth of information recently ... The result shows that the parallel version of SSTBMQS algorithm on GPU device using CUDA API function is unappropriated and un-recommended.