For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...
Many of the world's most important systems, such as the atmosphere, turbulent fluids, and even the motion of planets, behave unpredictably due to chaos and noise. Scientists often study these systems ...
What is time-sensitive networking? Why interoperability is important for deterministic networking. How design teams can balance real-time performance and scalability. In this episode, I talk with Dave ...
Abstract: We study dynamical optimal transport of discrete time systems (dDOT) with Lagrangian cost. The problem is approached by combining optimal control and Kantorovich duality theory. Based on the ...
ABSTRACT: This paper investigates the behavior of a prey-predator system in continuous time obtained by non-linear differential equations arising from diabetes of type one. We study the stability of ...
ABSTRACT: This paper investigates the behavior of a prey-predator system in continuous time obtained by non-linear differential equations arising from diabetes of type one. We study the stability of ...
Some days, the classic turn-based game formulas just aren't cutting it. Time to consider strategic options is nice, but ample thinking time can miss out on the exciting tension of making split-second ...
A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...
Burmese pythons—like this one photographed at Everglades National Park—are decimating animal populations in South Florida. NPS / R. Cammauf Burmese pythons in Florida have been known to swallow large ...
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