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We study the optimal approximation of the solution of an operator equation Au=f by linear and nonlinear mappings.

Numerical Analysis · Mathematics 2025-10-20 Stephan Dahlke , Erich Novak , Winfried Sickel

A particle filter is introduced to numerically approximate a solution of the global optimization problem. The theoretical significance of this work comes from its variational aspects: (i) the proposed particle filter is a controlled…

Optimization and Control · Mathematics 2017-01-11 Chi Zhang , Amirhossein Taghvaei , Prashant G. Mehta

We provide a writeup of a resolution of Erd\H{o}s Problem #728; this is the first Erd\H{o}s problem (a problem proposed by Paul Erd\H{o}s which has been collected in the Erd\H{o}s Problems website) regarded as fully resolved autonomously by…

Number Theory · Mathematics 2026-01-27 Nat Sothanaphan

We study the optimal approximation of the solution of an operator equation Au=f by linear and nonlinear mappings. We identify those cases where optimal nonlinear approximation is better than optimal linear approximation.

Numerical Analysis · Mathematics 2025-10-20 Stephan Dahlke , Erich Novak , Winfried Sickel

We study the optimal approximation of the solution of an operator equation by certain n-term approximations with respect to specific classes of frames. We study worst case errors and the optimal order of convergence and define suitable…

Numerical Analysis · Mathematics 2007-05-23 Stephan Dahlke , Erich Novak , Winfried Sickel

The two-parametric Mittag-Leffler function (MLF), $E_{\alpha,\beta}$, is fundamental to the study and simulation of fractional differential and integral equations. However, these functions are computationally expensive and their numerical…

Numerical Analysis · Mathematics 2019-12-24 Ibrahim O. Sarumi , Khaled M. Furati , Abdul Q. M. Khaliq

Predicting fading channels is a classical problem with a vast array of applications, including as an enabler of artificial intelligence (AI)-based proactive resource allocation for cellular networks. Under the assumption that the fading…

Information Theory · Computer Science 2022-03-08 Sangwoo Park , Osvaldo Simeone

In the transmission of digital data at a relatively high rate over a particular band limited channel, it is normally necessary to employ an equalizer at the receiver in order to correct the signal distortion introduced by the channel .ISI…

Information Theory · Computer Science 2014-03-18 Laith Awda Kadhim , Salih Mohammed , Osamah Saad

The design of both FIR and IIR digital filters is a multi-variable optimization problem, where traditional algorithms fail to obtain optimal solutions. A modified Shuffled Frog Leaping Algorithm (SFLA) is here proposed for the design of FIR…

Signal Processing · Electrical Eng. & Systems 2024-12-02 D. Jiménez-Galindo , P. Casaseca-de-la-Higuera , Luis M. San-José-Revuelta

We study existence problem for semilinear equations with Borel measure data and operator generated by a symmetric Markov semigroup. We assume merely that the nonlinear part satisfies the so-called sign condition. Using the method of sub and…

Analysis of PDEs · Mathematics 2021-11-09 Tomasz Klimsiak

We present a novel algorithm based on the ensemble Kalman filter to solve inverse problems involving multiscale elliptic partial differential equations. Our method is based on numerical homogenization and finite element discretization and…

Numerical Analysis · Mathematics 2020-12-16 Assyr Abdulle , Giacomo Garegnani , Andrea Zanoni

A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis. It is proved that this technique improves the aproximation of the covariance when…

Methodology · Statistics 2015-08-19 Ivan Kasanický , Jan Mandel , Martin Vejmelka

Lions, Perthame, Tadmor conjectured in 1994 an optimal smoothing effect for entropy solutions of nonlinear scalar conservations laws . In this short paper we will restrict our attention to the simpler one-dimensional case. First,…

Analysis of PDEs · Mathematics 2013-02-07 Pierre Castelli , Stéphane Junca

In the settings of Euclidean Jordan algebras, normal decomposition systems (or Eaton triples), and structures induced by complete isometric hyperbolic polynomials, we consider the problem of optimizing a certain combination (such as the…

Optimization and Control · Mathematics 2019-03-11 M. Seetharama Gowda

We consider the problem of estimating an input signal from noisy measurements in both parallel scalar Gaussian channels and linear mixing systems. The performance of the estimation process is quantified by the $\ell_\infty$ norm error…

Information Theory · Computer Science 2013-04-23 Jin Tan , Dror Baron , Liyi Dai

In the \emph{incremental cycle detection} problem arcs are added to a directed acyclic graph and the algorithm has to report if the new arc closes a cycle. One seeks to minimize the total time to process the entire sequence of arc…

Data Structures and Algorithms · Computer Science 2013-11-01 Edith Cohen , Amos Fiat , Haim Kaplan , Liam Roditty

Experimental realization and quantitative investigation of common-noise-induced synchronization of limit-cycle oscillations subject to random telegraph signals are performed using an electronic oscillator circuit. Based on our previous…

Adaptation and Self-Organizing Systems · Physics 2009-04-17 Ken Nagai , Hiroya Nakao

A number of engineering and scientific problems require representing and manipulating probability distributions over large alphabets, which we may think of as long vectors of reals summing to $1$. In some cases it is required to represent…

Information Theory · Computer Science 2023-10-27 Aviv Adler , Jennifer Tang , Yury Polyanskiy

It is well-known that box filters can be efficiently computed using pre-integrations and local finite-differences [Crow1984,Heckbert1986,Viola2001]. By generalizing this idea and by combining it with a non-standard variant of the Central…

Computer Vision and Pattern Recognition · Computer Science 2015-05-30 Kunal N. Chaudhury , Sebanti Sanyal

The \emph{Chow parameters} of a Boolean function $f: \{-1,1\}^n \to \{-1,1\}$ are its $n+1$ degree-0 and degree-1 Fourier coefficients. It has been known since 1961 (Chow, Tannenbaum) that the (exact values of the) Chow parameters of any…

Computational Complexity · Computer Science 2012-06-06 Anindya De , Ilias Diakonikolas , Vitaly Feldman , Rocco A. Servedio
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