Anti-Ramsey theory in graphs is a branch of combinatorial mathematics that examines the conditions under which a graph, when its edges are coloured, must necessarily contain a ‘rainbow’ subgraph – a ...
Bitcoin’s traditional 4-year halving cycle is no longer a reliable timing tool, even though it still matters structurally ...
Arthur Busch received his B.A. in 1997 from the University of Washington, and worked as a programmer in the investment and oil and gas industry in Denver. He received his Ph.D. in 2005 from the ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. The Austrian school focuses on individual ...
The end of 2025 was rough. Over $1.2 trillion in crypto market value gone in six weeks. Bitcoin (BTC) gave up more than 30% and slipped below $82,000; a liquidity vacuum. Leverage wiped out, ...
The biological cycle of our existence seems relatively straightforward: we’re born, we live, we die. The end. But when you examine existence at the cellular level, things get a bit more interesting.
Abstract: It is time-consuming to obtain performance metrics for feasible topologies during the design of power electronic converters. This article proposes a graph-theory-based algorithm that ...
Abstract: In this article, the substantial finite-time tracking control problem for multiple input multiple output (MIMO) nonaffine nonlinear systems is innovatively solved by developing a novel ...
J. M. Keynes; F. A. Hayek; the Wicksell connection; market interest rate; expectations; economic cycle theory; liquidity preference; disequilibrium theory Given the fact that both authors had ...
The modern era has witnessed an incredible surge in the popularity of all forms of media concerning the mythology of the ancient Mesopotamians. Fueling this ever-growing trend are the writings of a ...
This repository contains the training code for the door frame example in the paper "FEM-PINN: Integrating finite element method and Physics- Informed neural network for performance prediction of ...
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