Quantum mechanical simulationQuantum mechanicsOur initial premise is that computation as we know it is formally derived from our bodies' internal processing, via our neural processors. Going backwards in time, our bodies' internal processing is in turn derived from wider Nature's own style of ...
As shown by empirical and theoretical results, EVOLER finds the global optimum with a probability approaching 1 for rank-restricted problems (Figs. 2c and 3u,v). Moreover, it substantially extends the applicability of evolutionary computation in diverse problems with ubiquitous low-rank structures, ...
The study of evolutionary dynamics increasingly relies on computational methods, as more and more cases outside the range of analytical tractability are explored. The computational methods for simulation and numerical approximation of the relevant quantities are diverging without being compared for accuracy...
Because the simulation uses multiplication followed by shifts to handle the net slope computation, net slope precision loss occurs. This precision loss results in numerical inaccuracy: the calculated product is306.9, not308, as you expect.
First, the trustworthiness of human computation as computing systems, that is, trust offered by humans to AI, is examined using the RAS (reliability, availability, and serviceability) analogy, which define measures of trustworthiness in conventional computer systems. Next, the social trustworthiness ...
High-performance parallel computation for CFD(Computational Fluid Dynamics)numerical simulation is introduced in this article.The CFD high performance parallel computation expands the solving scale,accelerates the solution,which is the necessary development tendency for efficient CFD computation.Numerical windtun...
The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publicat...
The simulation-based likelihood approximation is then passed to a sampling algorithm, such as rejection sampling, Markov-Chain Monte Carlo or sequential Monte Carlo, which favours parameter sets resulting in the lowest discrepancy measure values and as such generates a sample from the approximated ...
In section 3 we formally define our new notions of "topology hiding" computation. This in- cludes our game-based and simulation-based definitions as well as a proof that simulation-based security implies game-based security. In section 4 we consider achieving topology-hiding MPC against a semi...
Neuronal networks with strong recurrent connectivity provide the brain with a powerful means to perform complex computational tasks. However, high-gain excitatory networks are susceptible to instability, which can lead to runaway activity, as manifested