Time complexity is a measure of how fast a computer algorithm (a set of instructions) runs, depending on the size of the input data. In simpler words, time complexity describes how the execution time of an algo
Complexity 1. Overview For any problem, there can be multiple solutions. Although, researchers’ goal is to find a solution that takes less time to execute and consumes less memory. In Computer Science, solutions are translated to programs. Therefore, choosing the best solution depends on how ma...
Runtime Complexity In subject area: Computer Science Runtime complexity refers to the computational time required by an algorithm to process each new observed timestep, with a complexity similar to the forward probability extension in the CHMM model, denoted as O(D|S|2). Here, D represents ...
Studies of reversible Turing machines (RTMs) often differ in their use of static resources such as the number of tapes, symbols and internal states. However, the interplay between such resources and computational complexity is not well-established for RT
Fortunately, there are ways of doing this, and we don’t need to wait and see the algorithm at work to know if it can get the job done quickly or if it’s going to collapse under the weight of its input. When we consider the complexity of an algorithm, we shouldn’t really care ...
Modern computational mathematics requires a philosophical perspective largely at odds with that of traditional mathematics, since current computational mathematics (as distinct from computer science) is by its very nature is discrete, not continuous, and tied to the real world in ways that the more ...
Distinguishing cause from effect is a scientific challenge resisting solutions from mathematics, statistics, information theory and computer science. Compression-Complexity Causality (CCC) is a recently proposed interventional measure of causality, inspi
The complexity of satisfiability problems: refining Schaefer's theorem J. Jẹdrzejowicz, A. Szepietowski (Eds.), Mathematical Foundations of Computer Science 2005, Lecture Notes in Computer Science, vol. 3618, Springer, Berlin, Heidelberg (2005), pp. 71-82 CrossrefView in ScopusGoogle Schol...
On the other hand, GoldRush achieves this speed with the use of a genome assembly algorithm that has linear time complexity in the number of reads (Supplementary Note 1). Breaking down the time GoldRush spends for completing each stage, we observe that GoldRush devotes more time polishing the ...
Additionally, the proposed graph coloring based resource sharing algorithm can effectively achieve a sub-optimal solution for the network throughput with low complexity. Moreover, a novel incentive approach to solve the problem of traffic information transfer in VANETs was designed by Zhang and Wu in...