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We give explicit constructions for incomplete pairwise balanced designs IPBD$((v;w),K)$, or, equivalently, edge-decompositions of a difference of two cliques $K_v \setminus K_w$ into cliques whose sizes belong to the set $K$. Our…

Combinatorics · Mathematics 2018-09-24 Peter J. Dukes , Esther R. Lamken

Recently, a construction of group divisible designs (GDDs) derived from the decoding of quadratic residue (QR) codes was given. In this paper, we extend the idea to obtain a new family of GDDs, which is also involved with a well-known…

Combinatorics · Mathematics 2018-09-05 Yu-pei Huang , Chia-an Liu , Yaotsu Chang , Chong-Dao Lee

There is a one-to-one correspondence between the point set of a group divisible design (GDD) with $v_1$ groups of $v_2$ points and the edge set of a complete bipartite graph $K_{v_1,v_2}$. A block of GDD corresponds to a subgraph of…

Combinatorics · Mathematics 2023-09-01 Shoko Chisaki , Ryoh Fuji-Hara , Nobuko Miyamoto

This paper introduces a new systematic algorithm for constructing periodic Euclidean weaving diagrams with combinatorial arguments. It is shown that such a weaving diagram can be considered as a specific type of four-regular periodic planar…

Combinatorics · Mathematics 2022-06-24 Mizuki Fukuda , Motoko Kotani , Sonia Mahmoudi

We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and discrete variables that is amenable to…

Machine Learning · Statistics 2013-07-05 Jason D. Lee , Trevor J. Hastie

Wilson lines, being comparators that render non-local operator products gauge invariant, are extensively used in QCD calculations, especially in small-$x$ calculations, calculations concerning validation of factorisation schemes and in…

High Energy Physics - Phenomenology · Physics 2015-02-03 Frederik F. Van der Veken

Group sequential design (GSD) is widely used in clinical trials in which correlated tests of multiple hypotheses are used. Multiple primary objectives resulting in tests with known correlations include evaluating 1) multiple experimental…

Methodology · Statistics 2021-03-22 Keaven M. Anderson , Zifang Guo , Jing Zhao , Linda Z. Sun

We prove that for any $K$ and $d$, there exist, for all sufficiently large admissible $v$, a pairwise balanced design PBD$(v,K)$ of dimension $d$ for which all $d$-point-generated flats are bounded by a constant independent of $v$. We also…

Combinatorics · Mathematics 2014-10-29 Nicholas M. A. Benson , Peter J. Dukes

This work presents a recursive construction for simple $t$-designs using resolutions of the ingredient designs. The result extends a construction of $t$-designs in our recent paper [39]. Essentially, the method in [39] describes the blocks…

Combinatorics · Mathematics 2016-12-07 Tran van Trung

We consider a generalization of the notion of partially balanced incomplete block designs (PBIBDs), by relaxing the requirement that the underlying association scheme be commutative. An infinite family of such generalizations is…

Combinatorics · Mathematics 2021-11-02 Daniel Kalmanovich

The dimension of a linear space is the maximum positive integer $d$ such that any $d$ of its points generate a proper subspace. For a set $K$ of integers at least two, recall that a pairwise balanced design PBD$(v,K)$ is a linear space on…

Combinatorics · Mathematics 2014-01-08 Peter J. Dukes , Alan C. H. Ling

In this paper, using group actions, we introduce a new method for constructing partial geometric designs (sometimes referred to as $1\frac{1}{2}$-designs). Using this new method, we construct several infinite families of partial geometric…

Combinatorics · Mathematics 2019-04-15 Jerod Michel , Qi Wang

Balancedly splittable Hadamard matrices are introduced and studied. A connection is made to the Hadamard diagonalizable strongly regular graphs, maximal equiangular lines set, and unbiased Hadamard matrices. Several construction methods are…

Combinatorics · Mathematics 2018-10-18 Hadi Kharaghani , Sho Suda

The electronic design industry has undergone a significant transformation, transitioning from traditional hand-drawn designs to modern automated design processes. While Computer-Aided Design (CAD) tools emerged alongside the electronic…

Other Computer Science · Computer Science 2023-05-19 Yu-Wen Lin , Tsz Ling Elaine Tang , Stefano Schiavon , Costas J. Spanos

The generalised balanced power diagram (GBPD) is regarded in the literature as a suitable geometric model for describing polycrystalline microstructures with curved grain boundaries. This article compiles properties of GBPDs with regard to…

Computation · Statistics 2026-01-27 Felix Ballani

A \textbf{double-change covering design} (DCCD) is a $v$-set $V$ and an ordered list $\mathcal{L}$ of $b$ blocks of size $k$ where every pair from $V$ must occur in at least one block and each pair of consecutive blocks differs by exactly…

Combinatorics · Mathematics 2025-11-04 Amanda Lynn Chafee , Brett Stevens

Unbalanced data arises in many learning tasks such as clustering of multi-class data, hierarchical divisive clustering and semisupervised learning. Graph-based approaches are popular tools for these problems. Graph construction is an…

Machine Learning · Statistics 2011-12-13 Jing Qian , Venkatesh Saligrama , Manqi Zhao

Tilings of the plane resemble the simplicial and other complexes from algebraic topology, but have not been studied from this perspective. We construct finite categories corresponding to polygons with labeled directed edges, and introduce…

Category Theory · Mathematics 2025-09-09 Catherine DiLeo , Preston Sessoms , Brandon T. Shapiro

This paper presents a novel paradigm in simulation-based engineering sciences by introducing a new framework called Generative Parametric Design (GPD). The GPD framework enables the generation of new designs along with their corresponding…

Computational Engineering, Finance, and Science · Computer Science 2025-12-15 Mohammed El Fallaki Idrissi , Jad Mounayer , Sebastian Rodriguez , Fodil Meraghni , Francisco Chinesta

Within the framework of Gaussian graphical models, a prior distribution for the underlying graph is introduced to induce a block structure in the adjacency matrix of the graph and learning relationships between fixed groups of variables. A…

Methodology · Statistics 2023-05-15 Alessandro Colombi , Raffaele Argiento , Lucia Paci , Alessia Pini
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