and using the prediction to update that canvas. When we unroll the computational graph of this network, this can be reinterpreted as a much deeper neural network in its own right, where many layers share weights. I’vepreviously discussedthis perspective on diffusion in more detail. ...
: Computational Modeling and Problem Solving in the Networked World: Interfaces in Computing and Optimization, Kluwer Academic Publishers.X. Zhong and J. Santos, Eugene. Analyzing the impact of knowledge on algorithm performance in discrete optimiza- tion. In Computational Modeling and Problem Solving ...
The fundamental questions of exactly why, when and how RC learns a general dynamical process are important mathematical questions whose answers are expected to provide guidelines for the practical design and implementation of RC systems. These lines of queries have led to a number of important analyt...
But it is an open problem how recurrent networks of spiking neurons (RSNNs) can learn, i.e., how their synaptic weights can be modified by local rules for synaptic plasticity so that the computational performance of the network improves. In deep learning, this problem is solved for feedforwar...
Both the Black-Scholes model and the lattice model for option pricing are basic building blocks of computational finance. In this chapter, we have shown how the GPU can be used to price options using these models much more efficiently than the CPU. As GPUs continue to become fast...
Solving a monolithic model can deliver the best overall solution but is usually extremely difficult due to the huge complexity of the merged problem.” Indeed, the integration of port problems is very difficult due to the computational complexity of the mathematical model related to each stage ...
In Section 4, preliminary tests were performed to adjust the problem parameters, and then we report on an extensive set of computational experiments conducted on benchmark instances. The results were discussed and assessed through statistical tools in the same Section. Finally, conclusions are drawn ...
of a local RH problem, the spectral function depends on 1 real spectral variablek, which describes the curve on which the “jump” of the RH problem occurs, so this formalism is suitable for solving equations in 1 spatial variable. In the case of a local d-bar problem, the associated ...
COMPUTATIONAL SPEED, MESH AND LOAD BALANCINGHow does y+ AMR restriction work? Can I use this feature to ensure I have an acceptable mesh near the wall for the law-of-the-wall models?CONVERGE has an option for y+ AMR restriction, which can restrict AMR cells close to the wall. You ...
procedure,process- a particular course of action intended to achieve a result; "the procedure of obtaining a driver's license"; "it was a process of trial and error" 2.computation- problem solving that involves