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Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. [1][2] In the computer application of modeling and simulation a computer is used to ...
The Ministry of Education, Culture, Research, and Technology (Indonesian: Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, abbreviated Kemendikbudristek) is a government ministry of the Indonesian government responsible for education, cultural, research, and technology affairs. Its formation resulted from the merger of the Ministry of ...
Verification and validation of computer simulation models. Verification and validation of computer simulation models is conducted during the development of a simulation model with the ultimate goal of producing an accurate and credible model. [1][2] "Simulation models are increasingly being used to solve problems and to aid in decision-making.
t. e. A simulation is an imitative representation of a process or system that could exist in the real world. [1][2][3] In this broad sense, simulation can often be used interchangeably with model. [2] Sometimes a clear distinction between the two terms is made, in which simulations require the use of models; the model represents the key ...
Constrained optimization. In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objective function is either a cost function or energy function, which is to ...
Constraint satisfaction. In artificial intelligence and operations research, constraint satisfaction is the process of finding a solution through a set of constraints that impose conditions that the variables must satisfy. [1] A solution is therefore an assignment of values to the variables that satisfies all constraints—that is, a point in ...
A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]
WASHINGTON − Members of former President Donald Trump's campaign staff had an altercation with a public affairs official at Arlington National Cemetery Monday during a wreath-laying ceremony ...