Results 101 to 110 of about 6,609,770 (304)
, 2022 SCW course syllabus / YU onlyCOURSE DESCRIPTION: In linear algebra, we learn how to solve systems of linear equations efficiently.Systems of linear equations are one of the most important and most commonly applied mathematical models in a big range of ...
Nandori, Peter
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Non Abelian T-duality in Gauged Linear Sigma Models
Journal of High Energy Physics, 2018 Abelian T-duality in Gauged Linear Sigma Models (GLSM) forms the basis of the physical understanding of Mirror Symmetry as presented by Hori and Vafa.
Nana Cabo Bizet +3 more
doaj +1 more source
, 2005 This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, quadratic forms, and canonical forms of matrices.
Ciubotaru, Dan
core
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Advanced Intelligent Discovery, EarlyView.Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
, 2022 YC course syllabus / YU onlySystems of linear equations, Gaussian elimination, matrices, matrix algebra; vector spaces, linear transformations, similarity; inner product spaces; determinants; eigenvalues and eigenvectors, diagonalization; quadratic forms;
Musser, Maxwell
core
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
Advanced Intelligent Systems, EarlyView.A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
Linear system of cubic forms with base locus of 5 points
Tạp chí Khoa học và Công nghệStudying a variety through a linear system of homogenous forms with a base locus is a method that has many advantages not only for understanding important geometric properties but also the ability to accurately evaluate many invariants of the variety ...
Nguyen Chanh Tu, Doan Xuan Canh
doaj
The Automorphism Group of Idempotent Matrices Preservers over the Boolean Algebra
MathematicsIn this paper, we consider the groups of linear operators that preserve idempotent matrices over the binary Boolean algebra. We prove that this set forms an automorphism group under composition and determine its exact algebraic structure as a direct ...
Özge Öztekin
doaj +1 more source