Results 131 to 140 of about 53,514 (278)
WDVV‐based recursion for open Gromov–Witten invariants
Abstract We give a computability result for open Gromov–Witten invariants based on open Witten–Dijkgraaf–Verlinde–Verlinde (WDVV) equations. This is analogous to the result of Kontsevich–Manin for closed Gromov–Witten invariants. For greater generality, we base the argument on a formal object, the Frobenius superpotential, that generalizes several ...
Roi Blumberg, Sara B. Tukachinsky
wiley +1 more source
A Jacobian‐Free Newton‐Krylov Method for Cell‐Centred Finite Volume Solid Mechanics
ABSTRACT This study proposes a Jacobian‐free Newton‐Krylov approach for finite‐volume solid mechanics. Traditional Newton‐based approaches require explicit Jacobian matrix formation and storage, which can be computationally expensive and memory‐intensive.
Philip Cardiff +3 more
wiley +1 more source
Symbolic Computing Package for Mathematica (Computer Algebra and Related Topics)
In this article we introduce the Symbolic Computing package for Mathematica, which enables us to manipulate symbolic computations more easily.
openaire
Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo +2 more
wiley +1 more source
Symbolic Computation with Symmetric Polynomials in Real Algebraic Geometry [PDF]
Cordian Riener, Thi Xuan Vu
openalex +1 more source
ABSTRACT Food waste is a sustainability concern in the food industry, which can be mitigated through a circular economy. Circularity can be limited by contextual constraints, such as the characteristics of the waste to be recovered. However, their study in the context of food waste is scarce.
Stella Viscardi +2 more
wiley +1 more source
Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation [PDF]
openalex +1 more source
Convergence properties of dynamic mode decomposition for analytic interval maps
Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source
Incorporating Scale Uncertainty into Differential Expression Analyses Using ALDEx2
Abstract Differential abundance or expression analyses are routinely performed on metagenomic, metatranscriptomic, and amplicon sequencing data. In such datasets, analysts usually have no information regarding the true scale (i.e., size) of the microbial community or sample under study, with inter‐sample differences in sequencing depth instead being ...
Scott J. Dos Santos, Gregory B. Gloor
wiley +1 more source

