Results 21 to 30 of about 115,613,181 (224)

Symbolic Method for Solving Nonlocal Boundary Value Problems for Systems of Ordinary Loaded Integro-Differential Equations

Mathematics
A symbolic method is presented for examining the solvability and constructing the exact solution to boundary value problems for systems of linear ordinary loaded differential equations and loaded integro-differential equations with nonlocal boundary ...
Efthimios Providas, Ioannis N. Parasidis, Jeyhun E. Musayev   +2 more
doaj   +1 more source

Application of unified array calculus to connect 4-D spacetime sensing with string theory and relativity

Journal of Geodetic Science, 2013
Array algebra of photogrammetry and geodesy unified multi-linear matrix and tensor operators in an expansion of Gaussian adjustment calculus to general matrix inverses and solutions of inverse problems to find all, or some optimal, parametric solutions ...
Rauhala U. A.
doaj   +1 more source

INFLUENCE OF INITIAL DATA REPRESENTATION ON THE RESULTS OF SIMULATION BY DOUBLE KRIGING METHOD

Известия Томского политехнического университета: Инжиниринг георесурсов, 2019
The relevance. When solving inverse geophysical problems, the important task is to construct petrophysical parameters volumetric models. The greatest difficulties in developing the methods for solving this problem are determined by the inhomogeneity of ...
Valery V. Shestakov, Dmitry Yu. Stepanov
doaj   +1 more source

Partial data inverse problems for Maxwell equations via Carleman estimates [PDF]

, 2018
In this article we consider an inverse boundary value problem for the time-harmonic Maxwell equations. We show that the electromagnetic material parameters are determined by boundary measurements where part of the boundary data is measured on a possibly ...
Ola, Petri, Leo Tzou, Francis J. Chung, Chung, Francis J., Petri Ola, Salo, Mikko, Mikko Salo, Tzou, Leo   +7 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Aggregating distributed energy resources for grid flexibility services: A distributed game theoretic approach

International Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen, Mehran Shakarami, Jacquelien M. A. Scherpen, Nima Monshizadeh   +3 more
wiley   +1 more source

The Application of the Bidiagonal Factorization of Totally Positive Matrices in Numerical Linear Algebra

Axioms
The approach to solving linear systems with structured matrices by means of the bidiagonal factorization of the inverse of the coefficient matrix is first considered in this review article, the starting point being the classical Björck–Pereyra algorithms
José-Javier Martínez
doaj   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

Advanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang, Xinyuan Ke, Andrew Heath, Richard J. Ball, Jiawei Xie, Jinchen Fan, Guisheng Li, Kevin Paine   +7 more
wiley   +1 more source

Spectral function space learning and numerical linear algebra networks for solving linear inverse problems

ETNA - Electronic Transactions on Numerical Analysis
We consider solving a probably ill-conditioned linear operator equation, where the operator is not modeled by physical laws but is specified via training pairs (consisting of images and data) of the input-output relation of the operator. We derive a stable method for computing the operator, which consists of first a Gram-Schmidt orthonormalization of ...
Aspri, Andrea, Frischauf, Leon, Scherzer, Otmar   +2 more
openaire   +3 more sources

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source