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Related papers: Open Problems in Analysis of Boolean Functions

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The automated synthesis of correct-by-construction Boolean functions from logical specifications is known as the Boolean Functional Synthesis (BFS) problem. BFS has many application areas that range from software engineering to circuit…

Artificial Intelligence · Computer Science 2022-12-19 Ravi Raja , Stanly Samuel , Chiranjib Bhattacharyya , Deepak D'Souza , Aditya Kanade

This paper contains a selection, dictated by personal taste and by no means complete, of open problems in local discrete holomorphic dynamics.

Dynamical Systems · Mathematics 2011-07-26 Marco Abate

Inspired by Solomonoffs theory of inductive inference, we propose a prior based on circuit complexity. There are several advantages to this approach. First, it relies on a complexity measure that does not depend on the choice of UTM. There…

Machine Learning · Computer Science 2023-06-27 Cole Wyeth , Carl Sturtivant

A compendium of thirty previously published open problems in computational geometry is presented.

Computational Geometry · Computer Science 2007-05-23 Joseph S. B. Mitchell , Joseph O'Rourke

The aim of this paper is to give the text of a recent introduction to nonlinear generalized functions exposed in my talk in the congress gf2011, which was asked by several participants. Three representative topics were presented: two…

Functional Analysis · Mathematics 2011-05-24 J. F. Colombeau

We study functions which are the pointwise limit of a sequence of holomorphic functions. In one complex variable this is a classical topic, though we offer some new points of view and new results. Some novel results for solutions of…

Complex Variables · Mathematics 2010-10-08 Steven G. Krantz

We describe a list of open problems in random matrix theory and integrable systems which was presented at the conference ``Integrable Systems, Random Matrices, and Applications'' at the Courant Institute in May 2006.

Mathematical Physics · Physics 2007-12-07 Percy Deift

The paper announces the new long-term challenge for improving the performance of automatic speech recognition systems. The goal of the challenge is to investigate methods of correcting the recognition results on the basis of previously made…

Computation and Language · Computer Science 2020-01-10 Marek Kubis , Zygmunt Vetulani , Mikołaj Wypych , Tomasz Ziętkiewicz

We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such systems face, show the evolution of the suggested approaches…

Computation and Language · Computer Science 2018-06-15 Christina Niklaus , Matthias Cetto , André Freitas , Siegfried Handschuh

Boolean functions can be represented in many ways including logical forms, truth tables, and polynomials. Additionally, Boolean functions have different canonical representations such as minimal disjunctive normal forms. Other canonical…

Computational Complexity · Computer Science 2024-11-19 Elena Dimitrova , Brandilyn Stigler , Claus Kadelka , David Murrugarra

We formulate some problems and conjectures about semigroups of rational functions under composition. The considered problems arise in different contexts, but most of them are united by a certain relationship to the concept of amenability.

Dynamical Systems · Mathematics 2022-02-24 Fedor Pakovich

Classification of Non-linear Boolean functions is a long-standing problem in the area of theoretical computer science. In this paper, effort has been made to achieve a systematic classification of all n-variable Boolean functions, where…

Logic in Computer Science · Computer Science 2013-03-15 Ranjeet Kumar Rout , Pabitra Pal Choudhury , Sudhakar Sahoo

We study functional clones, which are sets of non-negative pseudo-Boolean functions (functions $\{0,1\}^k\to\mathbb{R}_{\geq 0}$) closed under (essentially) multiplication, summation and limits. Functional clones naturally form a lattice…

Discrete Mathematics · Computer Science 2018-04-13 Andrei Bulatov , Leslie Ann Goldberg , Mark Jerrum , David Richerby , Stanislav Živný

A subclass of complex-valued close-to-convex harmonic functions that are univalent and sense-preserving in the open unit disc is investigated. The coefficient estimates, growth results, area theorem, boundary behavior, convolution and…

Complex Variables · Mathematics 2012-07-17 Sumit Nagpal , V. Ravichandran

We survey results for Cameron-Liebler sets and low degree Boolean functions for Hamming graphs, Johnson graphs and Grassmann graphs from the point of view of association schemes. This survey covers selected results in finite geometry,…

Combinatorics · Mathematics 2025-06-05 Ferdinand Ihringer

Apart from an account of classical preliminaries, this volume contains a systematic introduction to Sobolev spaces and functions of bounded variation with selected applications. This is installment III of a four part discussion of certain…

History and Overview · Mathematics 2024-02-05 Garth Warner

Polymorphic circuits are a special kind of circuits which possess multiple build-in functions, and these functions are activated by environment parameters, like temperature, light and VDD. The behavior of a polymorphic circuit can be…

Emerging Technologies · Computer Science 2017-09-13 Wenjian Luo , Zhifang Li

We give a complexity dichotomy for the problem of computing the partition function of a weighted Boolean constraint satisfaction problem. Such a problem is parameterized by a set of rational-valued functions, which generalize constraints.…

Computational Complexity · Computer Science 2009-06-03 Andrei Bulatov , Martin Dyer , Leslie Ann Goldberg , Markus Jalsenius , David Richerby

Test functions are important to validate and compare the performance of optimization algorithms. There have been many test or benchmark functions reported in the literature; however, there is no standard list or set of benchmark functions.…

Artificial Intelligence · Computer Science 2013-08-20 Momin Jamil , Xin-She Yang

In this work we cast the problem of binary classification in terms of estimating a partition on Bernoulli data. When the explanatory variables are all categorical, the problem can be modelled using the language of boolean functions. We…

Machine Learning · Statistics 2020-03-24 Paulo Hubert
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