An optimization process is disclosed. The process first finds a parallel compare sequence in a program flow, for example using a flow graph. The guarding predicate (gp) is obtained for the compares. If a new dominating predicate (dp) can be found, the process proceeds to determining if ...
et al. Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation. Nucleic Acids Res. 48, e72 (2020). Article CAS Google Scholar Snodin, B. E. K., Schreck, J. S., Romano, F., Louis, A. A. & Doye, J. ...
). Avoiding this kind of "optimization" is so important that it is worth presenting one more very useful algorithm that is totally ruined by it. Many problems, such as numerical integration and the numerical solution of differential equations involve computing sums with many terms. Because each ...
Since it is possible for the optimization to converge to non-global local minima, we only consider solutions which can be discovered from multiple initial seeds. Results Optimizing just the human cost (mostly) We minimized the composite cost strongly weighted towards human cost (λ = 0.95),...
In the present work, the initial population of particle swarm optimization is divided into independent populations running on different parallel computing units, which will also be called islands. In addition, a number of techniques are proposed, which aim at efficient communication between the independ...
UsageBasedOptimization USB UseCase Utilisateur UserApplication UserBuild UserControl UserDataType UserDefinedDataType UserDefinedDataTypeError UserDefinedDataTypeWarning UserDefinedTableType UserDefinedTypeError UserDefinedTypeWarning UserError UserFeedback UserFunction UserItemTemplate UserProjectTemplate UserTask User...
Numerical optimization and controls Theory and methods in computational linear algebra Imaging algorithms, deep neural network configurations, and vision restorations General computational stochastic processes Stochastic partial differential equations, Monte Carlo simulations and uncertainty quantification ...
local string = require 'string' serialPort = Host.CreatePluginInstance( 'SerialPort' ) serialPort:SetProperty( 'portName', 'COM8' ) -- Use blocking input, read operations wait up to the configured -- timeout value serialPort:SetProperty( 'blockingInput', true ) -- Total Read Timeout =...
The benefit of CAx systems can be summarized in automation, optimization and acceleration of production. Moreover, their growth and consolidation was not isolated and has brought with them newer manufacturing philosophies that differentiate them from the traditional production line system. In the followin...
An AutoML training job uses a primary metric for model optimization and hyperparameter tuning. The primary metric depends on the task type as shown below; other primary metric values are currently not supported.Accuracy for image classification Intersection over union for image classification multilabel...