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We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise and segment level prior, e.g. Cauchy which can handle outliers.…

Statistics Theory · Mathematics 2007-06-13 Marcus Hutter

We study the quantum query complexity of the Boolean hidden shift problem. Given oracle access to f(x+s) for a known Boolean function f, the task is to determine the n-bit string s. The quantum query complexity of this problem depends…

Quantum Physics · Physics 2013-11-28 Andrew M. Childs , Robin Kothari , Maris Ozols , Martin Roetteler

A functional differential equation related to the logistic equation is studied by a combination of numerical and perturbation methods. Parameter regions are identified where the solution to the nonlinear problem is approximated well by…

Classical Analysis and ODEs · Mathematics 2026-03-24 Nicholas Hale , Enrique Thomann , JAC Weideman

We determine a connection between the weight of a Boolean function and the total weight of its first-order derivatives. The relationship established is used to study some cryptographic properties of Boolean functions. We establish a…

Cryptography and Security · Computer Science 2023-05-02 Augustine Musukwa

We study functions on the infinite-dimensional Hamming cube $\{-1,1\}^\infty$, in particular Boolean functions into $\{-1,1\}$, generalising results on analysis of Boolean functions on $\{-1,1\}^n$ for $n\in\mathbb{N}$. The notion of noise…

Probability · Mathematics 2019-06-11 Vilhelm Agdur

In this article, we study the properties of a class of functional spaces which arise from the investigation of nonlinear differential equations. We establish some integral inequalities then by applying these inequalities, we prove some…

Functional Analysis · Mathematics 2023-10-11 Kamal N. Soltanov , Ugur Sert

This paper introduces a novel algorithmic solution for the approximation of a given multivariate function by a nomographic function that is composed of a one-dimensional continuous and monotone outer function and a sum of univariate…

Information Theory · Computer Science 2015-07-14 Steffen Limmer , Jafar Mohammadi , Slawomir Stanczak

We unify functional and logic programming by treating predicatesas functions equipped with their support: the set of inputs whose output is nonzero. Datalog, for instance, is a language of finitely supported boolean functions. Finite…

Programming Languages · Computer Science 2026-04-30 Michael Arntzenius , Max Willsey

The problem of distributed function computation is studied, where functions to be computed is not necessarily symbol-wise. A new method to derive a converse bound for distributed computing is proposed; from the structure of functions to be…

Information Theory · Computer Science 2017-07-10 Shigeaki Kuzuoka , Shun Watanabe

Every partial function from bit strings of a given length to bit strings of a possibly different given length can be computed by a finite instruction sequence that contains only instructions to set and get the content of Boolean registers,…

Logic in Computer Science · Computer Science 2015-07-28 J. A. Bergstra , C. A. Middelburg

Substructural type systems, such as affine (and linear) type systems, are type systems which impose restrictions on copying (and discarding) of variables, and they have found many applications in computer science, including quantum…

Logic in Computer Science · Computer Science 2021-01-27 Vladimir Zamdzhiev

Monotone Boolean functions, and the monotone Boolean circuits that compute them, have been intensively studied in complexity theory. In this paper we study the structure of Boolean functions in terms of the minimum number of negations in…

Computational Complexity · Computer Science 2014-10-31 Eric Blais , Clément L. Canonne , Igor C. Oliveira , Rocco A. Servedio , Li-Yang Tan

It has been shown that unclocked, recurrent networks of Boolean gates in FPGAs can be used for low-SWaP reservoir computing. In such systems, topology and node functionality of the network are randomly initialized. To create a network that…

Neural and Evolutionary Computing · Computer Science 2024-03-21 Raphael Norman-Tenazas , David Kleinberg , Erik C. Johnson , Daniel P. Lathrop , Matthew J. Roos

Determining the approximate degree composition for Boolean functions remains a significant unsolved problem in Boolean function complexity. In recent decades, researchers have concentrated on proving that approximate degree composes for…

Computational Complexity · Computer Science 2025-01-22 Sourav Chakraborty , Chandrima Kayal , Rajat Mittal , Manaswi Paraashar , Nitin Saurabh

We study the $n$-variable Boolean functions which keep their algebraic degree unchanged when they are restricted to any (affine) hyperplane, or more generally to any affine space of a given co-dimension $k$. For cryptographic applications…

Commutative Algebra · Mathematics 2024-10-02 Claude Carlet , Serge Feukoua , Ana Sălăgean

In this paper, several new classes of Boolean functions with few Walsh transform values, including bent, semi-bent and five-valued functions, are obtained by adding the product of two or three linear functions to some known bent…

Information Theory · Computer Science 2015-06-17 Guangkui Xu , Xiwang Cao , Shanding Xu

In this paper, a technique on constructing nonlinear resilient Boolean functions is described. By using several sets of disjoint spectra functions on a small number of variables, an almost optimal resilient function on a large even number…

Information Theory · Computer Science 2009-11-18 WeiGuo Zhang , GuoZhen Xiao

Extended Affine (EA) equivalence is the equivalence relation between two vectorial Boolean functions $F$ and $G$ such that there exist two affine permutations $A$, $B$, and an affine function $C$ satisfying $G = A \circ F \circ B + C$.…

Cryptography and Security · Computer Science 2022-05-17 Anne Canteaut , Alain Couvreur , Léo Perrin

We prove that two fixed univariate functions, namely, an arbitrary continuous non-affine function and a concrete affine function, are sufficient to approximate continuous functions of one variable under the operations of addition and…

Functional Analysis · Mathematics 2026-05-27 Vugar Ismailov

This paper discusses the theory and application of learning Boolean functions that are concentrated in the Fourier domain. We first estimate the VC dimension of this function class in order to establish a small sample complexity of learning…

Machine Learning · Computer Science 2016-01-20 Dustin G. Mixon , Jesse Peterson