mdash,—,, “,Solving linear recurrence systems on mesh-connected computers with multiple global buses,”, J. Parallel and Distribut. Comput. , vol. 8, pp. 89–,95, 1990.D.A. Carlson, Solving linear recurrence systems on mesh-connected computers with multiple global buses, J. Parallel ...
Operating systems can be very simple for minisystems to very sophisticated or complex for large general-purpose systems. The size and complexity of the operating system depend on the type of functions the computer system is to perform. For example, in the operation of large mainframe computers, ...
Solving the equations then provides information about how the populations change over time as the species interact. Solve Equations with One Initial Condition To solve the Lotka-Volterra equations in MATLAB®, write a function that encodes the equations, specify a time interval for the integration,...
Methods Overview of systems models Here, we briefly describe the four previously published models used to investigate the effects of multiple drivers and noise upon the timing of ATDCs. Each model was replicated and simulated within the system dynamics software STELLA Architect v.1.6.1 (ref.39),...
Recent improvements in hardware and data collection have lowered the barrier to practical neural control. Most of the current contributions to the field have focus on model-based control, however, models of neural systems are quite complex and difficult
A simple, eclectic approach for solving discrete alternative multiple criteria decision problems is presented. It is based on the concept of the level of aspiration, and draws on ideas of various researchers. It assumes that the user has a set of alternatives with each alternative having a score...
While there are many studies of self-regulation, they have not yet systematically analyzed the very process by which rules are developed and implemented. This article treats self-regulation as a process with sufficient autonomy and functional coherence to display identifiable stages, each of which des...
Costfunctionsappropriatetothemultiplemeasurementproblem aredeveloped,andalgorithmsarederivedbasedontheirmini- mization.Asimulationstudyisconductedonatest-casedictionary toshowhowtheutilizationofmorethanonemeasurementvector improvestheperformanceoftheMPandFOCUSSclassesof ...
In solving the classification problem of nonlinear data samples, the SVM transforms the low-dimensional nonlinear classification problem into a high-dimensional spatially divisible one by performing a high-dimensional spatial transformation through the kernel function and effectively classifies linearly ...
Multiple Classifier Systems refer to a technique in computer science where multiple classifiers are combined to improve the overall accuracy of a prediction or decision. AI generated definition based on: Computers & Security, 2017 About this pageSet alert Discover other topics On this page Definition...