Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?
Abstract: Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform the efficient analog ...
Abstract: In this letter, leader-follower bipartite consensus of linear multiagent systems (MASs) has been studied over a signed directed graph. The agents in the MAS are subjected to system ...
Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...
Physicist Albert Einstein famously posited that if he only had an hour to crack a daunting problem, he'd devote 55 minutes to ...
Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...
Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...
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