Results 51 to 60 of about 7,065 (184)
A new approach to the realization of low-sensitivity IIR digital filters [PDF]
, 1986 A new implementation of an IIR digital filter transfer function is presented that is structurally passive and, hence, has extremely low pass-band sensitivity. The structure is based on a simple parallel interconnection of two all-pass sections, with each
Mitra, Sanjit K. +2 more
core +1 more source
Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.Abstract Machine learning (ML) weather models like GraphCast and NeuralGCM show forecasting promise but face fundamental limitations for data assimilation (DA) integration. This study reveals critical problems in error covariance representation and adjoint sensitivity patterns challenging their operational viability.
Xiaoxu Tian +2 more
wiley +1 more source
Network-coded internet-friendly transport protocol
Journal of Algorithms & Computational Technology, 2017 This paper presents the design of network-coded TCP (NCTCP). NCTCP is a reliable TCP-like transport protocol that uses network coding to dramatically improve the overall performance in networks with lossy links.
Justin Ridgewell, Hala ElAarag
doaj +1 more source
Computational Complexity of Iterated Maps on the Interval (Extended Abstract)
, 2010 The exact computation of orbits of discrete dynamical systems on the interval is considered. Therefore, a multiple-precision floating point approach based on error analysis is chosen and a general algorithm is presented.
Anatole Katok +19 more
core +2 more sources
Multiple precision evaluation of the Airy Ai function with reduced cancellation [PDF]
, 2013 The series expansion at the origin of the Airy function Ai(x) is alternating and hence problematic to evaluate for x > 0 due to cancellation. Based on a method recently proposed by Gawronski, M\"uller, and Reinhard, we exhibit two functions F and G, both
Chevillard, Sylvain, Mezzarobba, Marc
core +6 more sources
How Accurate is Richardson's Error Estimate?
Concurrency and Computation: Practice and Experience, Volume 37, Issue 27-28, 25 December 2025.ABSTRACT We consider the fundamental problem of estimating the difference between the exact value T$$ T $$ and approximations Ah$$ {A}_h $$ that depend on a single real parameter h$$ h $$. It is well‐known that if the error Eh=T−Ah$$ {E}_h=T-{A}_h $$ satisfies an asymptotic expansion, then we can use Richardson extrapolation to approximate Eh$$ {E}_h $$
Carl Christian Kjelgaard Mikkelsen +1 more
wiley +1 more source
Solving the Net Worth Optimization Problem
FINANCIAL PLANNING REVIEW, Volume 8, Issue 4, December 2025.ABSTRACT The mean–variance optimization (MVO) model of Harry M. Markowitz is the foundation of quantitative portfolio construction and asset allocation. While Markowitz originally developed MVO for forming portfolios of tradable assets in isolation, it has been adapted for creating portfolios of tradable assets in the presence of non‐tradable assets ...
Paul D. Kaplan
wiley +1 more source
Numerical Linear Algebra with Applications, Volume 32, Issue 5, October 2025.ABSTRACT Recent development on mixed precision techniques has largely enhanced the performance of various linear algebra solvers, one of which is the solver for the least squares problem. By transforming least squares problems into augmented linear systems, mixed precision techniques are capable of refining the lower precision solution to the working ...
Bowen Gao, Yuxin Ma, Meiyue Shao
wiley +1 more source
Relations between transfer matrices and numerical stability analysis to avoid the $\Omega d$ problem
, 2015 The transfer matrix method is usually employed to study problems described by $N$ equations of matrix Sturm-Liouville (MSL) kind. In some cases a numerical degradation (the so called $\Omega d$ problem) appears thus impairing the performance of the ...
Pernas-Salomón, R. +2 more
core +1 more source
tmm4py: Global Ocean Biogeochemical Modeling in Python With the Transport Matrix Method
Journal of Advances in Modeling Earth Systems, Volume 17, Issue 8, August 2025.Abstract Marine biogeochemical models are important tools in the quest to understand the cycling of chemical and biological tracers such as nutrients, carbon and oxygen, as well as key components of the Earth System Models used to project climate change.
Samar Khatiwala
wiley +1 more source