Succinct Data Structures for Series-Parallel, Block-Cactus and 3-Leaf Power Graphs
نویسندگان
چکیده
We design succinct encodings of {\it series-parallel, block-cactus} and 3-leaf power} graphs while supporting the basic navigational queries such as degree, adjacency neighborhood optimally} in RAM model with logarithmic word size. One salient feature our representation is that it can achieve optimal space even though exact lower bound for these graph classes not known. For classes, we provide data structures query support first time literature. series-parallel multigraphs, work also extends works Uno et al. (Disc. Math. Alg. Appl., 2013) Blelloch Farzan (CPM, 2010) to produce bounds.
منابع مشابه
Power Domination on Block-cactus Graphs∗
The problem of monitoring an electric power system is placing as few measurement devices as possible. In graph theoretical representation, it can be considered as a variant of domination problem, namely, power domination problem. This problem is to find a minimum power domination set S of a graph G = (V,E) with S ⊆ V and S can dominate all vertices and edges through the observation rules accord...
متن کاملSuccinct Dynamic Data Structures
We develop succinct data structures to represent (i) a sequence of values to support partial sum and select queries and update (changing values) and (ii) a dynamic array consisting of a sequence of elements which supports insertion, deletion and access of an element at any given index. For the partial sums problem on n non-negative integers of k bits each, we support update operations in O(b) t...
متن کاملRank and Select for Succinct Data Structures
In this paper, we study different approaches for rank and select on sequences of bytes and propose new implementation strategies. Extensive experimental evaluation comparing the efficiency of the different alternatives are provided. Given a sequence of bits, a rank query counts the number of occurrences of the bit 1 up to a given position, and a select query returns the position of the ith occu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-92681-6_33