Abstract. Time-varying network optimization problems have tradition-ally been solved by specialized algorithms. These algorithms have NP-complement time complexity. This paper considers the time-varying short-est path problem, in which can be optimally solved in O(T(m + n)) time,where T is a given integer. For this problem with arbitrary waiting times,we propose an approximation algorithm, whic...

Intra coding in High efficiency video coding (HEVC) can significantly improve the compression efficiency using 35 intra-prediction modes for 2N×2N (N is an integer number ranging from six to two) luma blocks. To find the luma block with the minimum rate-distortion, it must perform 11932 different rate-distortion cost calculations. Although this approach improves coding efficiency compared to th...

Intra coding in High efficiency video coding (HEVC) can significantly improve the compression efficiency using 35 intra-prediction modes for 2N×2N (N is an integer number ranging from six to two) luma blocks. To find the luma block with the minimum rate-distortion, it must perform 11932 different rate-distortion cost calculations. Although this approach improves coding efficiency compared to th...

This paper presents one method of using time-bounded Kol-mogorov complexity as a measure of the complexity of sets, and outlines a number of applications of this approach to diierent questions in complexity theory. Connections will be drawn among the following topics: NE predicates, ranking functions, pseudorandom generators, and hierarchy theorems in circuit complexity.

Existing project selection models do not consider the complexity of projects as a selection criterion, while their complexity may prolong the project duration and even result in its failure. In addition, existing models cannot formulate the aggregate complexity of the selected projects. The aggregated complexity is not always equal to summation of complexity of projects because of possible syne...

Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in nonlinear systems using ordinal pattern analysis of time series data taken from the system. Epilepsy is considered as a dynamical change in nonlinear and complex brain system. The ability of the proposed measure for characterizing the normal and epileptic EEG signals when the signal is short or is...