Johann Blieberger and Roland Lieger, Worst -case space and time complexity of recursive procedures, Real-Time Systems 11 (1996), no. 2, 115-144Johann Blieberger and Roland Lieger. Worst-case space and time comp
Finding out the time complexity of your code can help you develop better programs that run faster. Some functions are easy to analyze, but when you have loops, and recursion might get a little trickier when you have recursion. After reading this post, you are able to derive the time comple...
For example, if we say that an algorithm has a time complexity of O(n), it means that the algorithm’s execution time increases linearly with the size of the input. If the input size doubles, the time it takes to run the algorithm will roughly double as well. If an algorithm is O(...
This small simulation can be accomplished by hand, but there is a limit to the complexity of problems that can be solved in this manner. Also, the number of customers that must be simulated could be much larger than 20 and the number of times that the simulation must be run for statistic...
Usually, the dominant goal of decision tree learning is to maximize predictive accuracy, with a secondary goal of minimizing complexity among competing trees of equivalent accuracy. Efforts to devise a combined measure of accuracy and complexity, such as Minimum Description Length [21, 27], encounter...
Tabling itself comes at a cost: breadth first search has exponential (asymptotic) space complexity. In real terms this means that, for hard learning problems, where the proof tree built by Vanilla during Resolution grows too large, Prolog will run out of RAM for tabling. This can be ...
In contrast, the output of RC can be directly used for simple linear regression to obtain fast classification and recognition results with cost-efficient computation sources, as illustrated in Fig. 2, which is a computational economy approach based on theoretical computational complexity compared with ...
Here, we derive a formula for the variance of the sample entropy as a sum of central moments of binomial and multinomial distributions. These central moments are computed using a novel recursive approach. This approach allows us to approximate the variance with a high level of accuracy, up to...
The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). T
Moreover, the performance penalties can become more evident on applications that make use of data-processing libraries within recursive functions. To overcome this performance issue, we first introduce parametricity in DynQ with a generalization of prepared statement which extends the binding of query ...