Results 121 to 130 of about 76,534 (153)

Visualizing Boolean Operations on a Hypercube

open access: yesMathematical and Computer Modelling, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Boolean Autoencoders and Hypercube Clustering Complexity [PDF]

open access: yesDesigns, Codes, and Cryptography, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baldi, Pierre
exaly   +4 more sources

Log Concavity and Concentration of Lipschitz Functions on the Boolean Hypercube [PDF]

open access: yesJournal of Functional Analysis, 2022
It is well-known that measures whose density is the form $e^{-V}$ where $V$ is a uniformly convex potential on $\RR^n$ attain strong concentration properties. In search of a notion of log-concavity on the discrete hypercube, we consider measures on $\{-1,1\}^n$ whose multi-linear extension $f$ satisfies $\log \nabla^2 f(x) \preceq β\Id$, for $β\geq 0$,
Ronen Eldan, Omer Shamir
exaly   +4 more sources

Boolean Automorphisms of a Hypercube Coincide With the Linear Isometries

open access: yesAdvances in Pure Mathematics, 2014
Boolean homomorphisms of a hypercube, which correspond to the morphisms in the category of finite Boolean algebras, coincide with the linear isometries of the category of finite binary metric vector spaces.
Marco V José
exaly   +3 more sources
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An Analogue of Slepian Vectors on Boolean Hypercubes

Journal of Fourier Analysis and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hogan, Jeffrey A., Lakey, Joseph D.
openaire   +1 more source

On embedding ternary trees into Boolean hypercubes

[1992] Proceedings of the Fourth IEEE Symposium on Parallel and Distributed Processing, 2003
It is pointed out that the problem of efficiently embedding a k-ary tree into hypercube with k>or=3 has largely remained unsolved, even though optimal embeddings (i.e. embeddings achieving minimum delta , lambda , and in ) of complete and incomplete binary trees into hypercubes have been known for some time. Thus, in their quest for designing efficient
Ajay K. Gupta 0001, Hong Wang
openaire   +1 more source

Graph Embedding in Boolean Hypercube

2006 International Biennial Baltic Electronics Conference, 2006
Huge effort has been invested to come up with a wide range of design solutions that help solving the power dissipation problem for synchronous sequential circuits. Particularly, this problem is reduced to optimal coding of states of a Finite State Machine (FSM) by Boolean vectors which present sets of memory element states. Two new methods to solve the
E. Fomina, A. Zakrevski
openaire   +1 more source

Optimal expression evaluation and term matching on the Boolean hypercube and on hypercubic networks

Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94, 1994
An optimal tree contraction algorithm for the Boolean hypercube and constant degree hypercubic networks, such as the shuffle exchange or the butterfly network, is presented. The algorithm is based on a recursive approach, uses novel routing techniques, and, for certain small subtrees, simulates optimal PRAM algorithms.
Ernst W. Mayr, Ralph Werchner
openaire   +1 more source

Topological Equivalence Classification of Balanced Linearly Separable Boolean Functions on n-Dimensional Hypercube

International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2021
The concept of conformal transformation is proposed through the study of the spatial structure of [Formula: see text]-dimensional hypercubes. Based on conformal transformation, a novel algorithm, called topological equivalence classification algorithm, is proposed for classifying balanced linearly separable Boolean functions. By the proposed algorithm,
Wei Jin, Qinbin He
exaly   +3 more sources

Clustering in the Boolean Hypercube in a List Decoding Regime

2013
We consider the following clustering with outliers problem: Given a set of points X⊂{−1,1}n, such that there is some point z∈{−1,1}n for which Prx∈X ≥ e] ≥ δ, find z. We call such a point z a (δ,e)-center of X. In this work we give lower and upper bounds for the task of finding a (δ,e)-center. We first show that for δ=1−ν close to 1, i.e.
Irit Dinur, Elazar Goldenberg
openaire   +2 more sources

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