The basic tasks of runtime environments are content delivery to the student, support of the interaction between content and student, and to decide the content to be delivered next depending on the static and dynamic course structure, and previous student actions (c.f., Section 4). In our ...
Phong, and so on). Therefore, each function's coefficients can be computed once (in a preprocess step) and be reused by all convolutions. This optimization reduces the runtime complexity of the example convolution to just
Formally, this property corresponds to obtaining lower time complexity for models without numerical instabilities and errors as illustrated in Table 1 (left). For example, Table 1 (left) shows that the complexity of a pth-order numerical ODE solver is \({{{\mathcal{O}}}(Kp)\), where K ...
The first work in this category was published in 1989 which used a quasi-unstable equilibrium point (QUEP) approach [37]. This paper, by using generating unit clustering procedure, reduced the complexity of power system. It also calculated stability sensitivity coefficients for utilization in constr...
Complexity vs. control The runtime API eases device code management by providing implicit initialization, context management, and module management. This leads to simpler code, but it also lacks the level of control that the driver API has. In comparison, the driver API offers more fine-grained...
The growing length and complexity of shaders made the assembly programming model increasingly cumbersome. Fortunately, DirectX 9.0 also included HLSL. This shading language was developed by Microsoft in collaboration with NVIDIA. Around the same time, the OpenGL ARB (Architecture Review Board) released...
big_o inferred that the asymptotic behavior of the find_max function is linear, and returns an object containing the fitted coefficients for the complexity class. The second return argument, others, contains a dictionary of all fitted classes with the residuals from the fit as keys: ...
With the continual development of the global economy, the air transportation demand has significantly increased across various industries, leading to a surge in flight traffic and airspace complexity. To optimize flight scheduling and improve operational efficiency, the traffic prediction is extensively stu...
object The value to match the Value property of an element in the target enum. Return value The value of the Name property for whichever element in the target enum has a Value property that matches the input parameter. Remarks The object parameter can be of most data types, but useful ...
ESN is a new type of neural network proposed by Jaeger [1] in 2001. It not only overcomes the computational complexity, training inefficiency, and difficulty of the practical application of RNN but also avoids the problem of locally optimal solutions. ESN mimics the structure of recursively ...