Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
BMJ Global Health

Changes in the use of basic obstetric care in sub-Saharan Africa: evidence from demographic and health surveys using an Oaxaca-Blinder approach

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...
How-To Geek on MSN

These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
IEEE

A Riccati Matrix Equation Solver Design Based Neurodynamics Method and Its Application

Abstract: Riccati matrix equation (RME), a critical nonlinear matrix equation in autonomous driving and deep learning. However, memory-compute separation in traditional solving systems leads to ...
C&EN

Differentiation of True Nonlinear and Incoherent Mixing of Linear Signals in Action-Detected 2D Spectroscopy

Mathematical Physics and NanoLund, Lund University, P.O. Box 118, 22100 Lund, Sweden *E-mail: [email protected] (A.A.S.K.). Article Views are the COUNTER-compliant sum of full text article downloads ...
GitHub

Learn linear algebra by applications in stoichiometry, steganography, static force analysis, and machine learning.

Created with R2024a. Compatible with R2024a and later releases. You can use this live script as demonstrations in lectures, class activities, or interactive assignments outside class. Applied Linear ...
IEEE

Preconditioned Bi-conjugate Gradient Method of large-scale complex linear equations

Abstract: Bi-conjugate Gradient Method (BCG) has potential problems on slow convergence or divergence when complex linear equations are large-scale or coefficient matrix of complex linear equations is ...
C&EN

Quantum Inverse Algorithm via Adaptive Variational Quantum Linear Solver: Applications to General Eigenstates

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Machine Design

What’s The Difference Between FEM, FDM and FVM?

What Are FEM, FDM and FVM? FEM, FDM and FVM differ from one another in important ways. Understanding these distinctions is key to selecting the method most appropriate for your purposes. The ...
Frontiers

A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking

To solve the theoretical solution of dynamic Sylvester equation (DSE), we use a fast convergence zeroing neural network (ZNN) system to solve the time-varying problem. In this paper, a new activation ...
Frontiers

Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations

The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...