JSTOR Daily

The Spectral Approximation of Linear Operators with Applications to the Computation of Eigenelements of Differential and Integral Operators

The linear operator T and its approximation Tn are defined in the same space. Perturbation theory is then a suitable framework for our problem. We present in the first part a systematic study of the ...
JSTOR Daily

The Toeplitz Theorem and its Applications to Approximation Theory and Linear PDE's

Transactions of the American Mathematical Society, Vol. 347, No. 7 (Jul., 1995), pp. 2585-2594 (10 pages) We take an algebraic approach to the problem of approximation by dilated shifts of basis ...
Investopedia

Linear Relationship: Definition, Formula, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
eLife

Distinct evolutionary trajectories of two integration centres, the central complex and mushroom bodies, across Heliconiini butterflies

The analysis of neural morphology across Heliconiini butterfly species revealed brain area-specific changes associated with new foraging behaviours. While the volume of the centre for learning and ...
National HeraldOpinion

Say hello to muhūrta mathematics

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...
eLife

Common psychiatric treatments alter affective dynamics

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...
Nature

Optical quantum memory

Quantum memory is essential for the development of many devices in quantum information processing, including a synchronization tool that matches various processes within a quantum computer, an ...
IEEE

FPGA Implementation of Fractional-Order Hopfield Neural Network With Multi-Activation Functions

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...
IEEE

Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics

Abstract: We present closed-form expressions for marginalizing and conditioning Gaussians onto linear manifolds, and demonstrate how to apply these expressions to smooth non-linear manifolds through ...
Investopedia

Understanding Straight-Line Basis for Depreciation and Amortization

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...
GitHub

Data Driven Model Predictive Control using Gaussian Processes

Model predictive control (MPC) has gained more attention in the past years as it is a powerful modern control technique that relies on repeatedly solving an open-loop optimal control problem. In order ...