On partitioning of hypergraphs
نویسندگان
چکیده
We study Edge-Isoperimetric Problems (EIP) for hypergraphs and extend some technique in this area from graphs to hypergraphs. In particular, we establish some new results on a relationship between the EIP and some extremal poset problems, and apply them to obtain an exact solution of the EIP for certain hypergraph families. We also show how to solve the EIP on hypergraphs in some cases when the link to posets does not work. Another outcome of our results is a new series of hypergraphs admitting nested solutions in the EIP. 1 Problem statement and motivation Let H = {VH , EH} be a hypergraph where VH is the the vertex set and EH ⊆ 2H is the set of hyperedges. For A ⊆ VH denote A = VH \ A and θH(A) = {e ∈ EH | e ∩ A 6= ∅ and e ∩ A 6= ∅} θH(m) = min A⊆VH |A|=m |θH(A)|. In other words, θH(A) is the set of hyperedges connecting A with its complement in VH , or, what is commonly said, θH(A) is the hyperedge-cut. The Edge-Isoperimetric Problem (EIP) on H consists of finding for a given m, 1 ≤ m ≤ |VH |, a set A ⊆ VG such that |A| = m and |θH(A)| = θH(m). This problem is known to be NP-complete even for graphs. We mostly will be dealing with another version of the EIP, which also makes sense for practical applications. Instead of minimizing the number of broken connections we max-
منابع مشابه
Partitioning Hypergraphs in Scientific Computing Applications through Vertex Separators on Graphs
The modeling flexibility provided by hypergraphs has drawn a lot of interest from the combinatorial scientific community, leading to novel models and algorithms, their applications, and development of associated tools. Hypergraphs are now a standard tool in combinatorial scientific computing. The modeling flexibility of hypergraphs however, comes at a cost: algorithms on hypergraphs are inheren...
متن کاملConsistency of Spectral Hypergraph Partitioning under Planted Partition Model
Hypergraph partitioning lies at the heart of a number of problems in machine learning and network sciences. A number of algorithms exist in the literature that extend standard approaches for graph partitioning to the case of hypergraphs. However, theoretical aspects of such methods have seldom received attention in the literature as compared to the extensive studies on the guarantees of graph p...
متن کاملPartitioning problems in dense hypergraphs
We study the general partitioning problem and the discrepancy problem in dense hypergraphs. Using the regularity lemma [16] and its algorithmic version proved in [5], we give polynomial time approximation schemes for the general partitioning problem and for the discrepancy problem.
متن کاملA Serial Multilevel Hypergraph Partitioning Algorithm
The graph partitioning problem has many applications in scientific computing such as computer aided design, data mining, image compression and other applications with sparse-matrix vector multiplications as a kernel operation. In many cases it is advantageous to use hypergraphs as they, compared to graphs, have a more general structure and can be used to model more complex relationships between...
متن کاملParallel algorithms for hypergraph partitioning
Near-optimal decomposition is central to the efficient solution of numerous problems in scientific computing and computer-aided design. In particular, intelligent a priori partitioning of input data can greatly improve the runtime and scalability of large-scale parallel computations. Discrete data structures such as graphs and hypergraphs are used to formalise such partitioning problems, with h...
متن کاملMultilevel hypergraph partitioning: applications in VLSI domain
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel paradigm. In the multilevel paradigm, a sequence of successively coarser hypergraphs is constructed. A bisection of the smallest hypergraph is computed and it is used to obtain a bisection of the original hypergraph by successively projecting and refining the bisection to the next level finer hyper...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Discrete Mathematics
دوره 307 شماره
صفحات -
تاریخ انتشار 2007