Runtime Complexity In subject area: Computer Science Runtime complexity refers to the computational time required by an algorithm to process each new observed timestep, with a complexity similar to the forward
Complexity 1. Overview For any problem, there can be multiple solutions. Although, researchers’ goal is to find a solution that takes less time to execute and consumes less memory. In Computer Science, solutions are translated to programs. Therefore, choosing the best solution depends on how ma...
Second, low power and low cost also drive us away from PC architectures and toward multiprocessors.Personal computersare designed to satisfy a broad mix of computing requirements and to be very flexible. These features increase the complexity and price of the components. They also cause the process...
Here, we train a deep learning classifier to provide an early warning signal for the five local discrete-time bifurcations of codimension-one. We test the classifier on simulation data from discrete-time models used in physiology, economics and ecology, as well as experimental data of ...
With the continual development of the global economy, the air transportation demand has significantly increased across various industries, leading to a surge in flight traffic and airspace complexity. To optimize flight scheduling and improve operational efficiency, the traffic prediction is extensively stu...
Since a user might execute different kinds of operations of different complexity and different durations while the system is slowed down, ranging from opening a menu to compiling a program, we expect that the perception of the overhead may depend on the nature of the operation that is executed...
Although the rationale for DASH appears persuasive, there is an argument for the simplicity of the progressive download, which has the advantage of lower complexity and processing by client and server. One point in question is, considering for, instance, the specific transmission mechanism adopted by...
The OSI model is a hierarchical layered structure with complexity and abstractness increasing from the bottom up. Each layer or level performs a reasonably well-defined network function and is dependent on the layers below to accomplish more elementary functions. The following briefly describes each ...
Distinguishing cause from effect is a scientific challenge resisting solutions from mathematics, statistics, information theory and computer science. Compression-Complexity Causality (CCC) is a recently proposed interventional measure of causality, inspi
level, materials are described by the many-body Hamiltonian in the Schrödinger equation, which is generally considered as an intractable problem owing to the exponential time complexity with size. However, Hohenberg and Kohn2has revealed that the electron density possesses a one-to-one ...