Titlebook: Combinatorics, Algorithms, Probabilistic and Experimental Methodologies; First International Bo Chen,Mike Paterson,Guochuan Zhang Conferen

Occlusion

I. V. Ravi Kumar,G. Rajitha,B. Nancharaiahthe goal is to pack these into as few bins as possible of smallest possible size. In the classical problem the bin size vector is given and the sequence can be partitioned arbitrarily. We study a variation where the vectors have to be packed in the order in which they arrive and the bin size vector

HUSH

代理人

平息

Atsuo Hazeyama,Kiichi Furukawa,Yuki Yamadading approximate frequent items and approximate .-quantiles, estimating inner-products, constructing near-optimal .-bucket histograms and estimating entropy. We also present improved lower bound results for several problems over update data streams.

epidermis

Atsuo Hazeyama,Kiichi Furukawa,Yuki Yamadat bipartitioning problem is a fundamental graph partitioning problem and is NP-Complete. In this paper, we present an effective multi-level refinement algorithm based on swarm intelligence for bisecting graph. The success of our algorithm relies on exploiting both the swarm intelligence theory with

似少年

BLUSH

https://doi.org/10.1007/978-981-16-9101-0hemes which are based on SVD (Singular Value Decomposition) are being developed in some literatures [1, 15] nowadays. All of these SVD-based watermarking schemes have good embedding quality and high robustness, but they must depend on an original image or store some extra tables to extract watermark

使乳化

https://doi.org/10.1007/978-3-031-37216-2which is an ideal perfect secure. The other two schemes add the restricted order structure to the set of shadows and the access structure of secret sharing policy. The basis of the access structure of one scheme allows that only subsets that contain consecutive shadows can compute the broken secret,

Limousine

,Der Investmentguide für smarte Investoren, the minimum cardinality of a clique-transversal set in .. In this paper we present an upper bound and a lower bound on ..(.) for cubic graphs, and characterize the extremal cubic graphs achieving the lower bound. In addition, we present a sharp upper bound on ..(.) for claw-free cubic graphs.

混雜人

Die inverse Gutenberg-Revolution, at least . apart, while vertices at distance at most 2 receive labels at least . apart. The goal of the .(.,.)-labeling problem is to produce a legal labeling that minimizes the largest label used. Since the decision version of the .(.,.)-labeling problem is NP-complete, it is important to investig