Linear Angle Based Parameterization - HAL
... We experimented the method with a large number of complicated test cases, including surfaces with high curvature (see Figure 3), and the example known to make linear conformal parameterization methods fail (’obtuse’ entry in Table 1 and Figure 4). Although this is not guaranteed, for all these test ...
... We experimented the method with a large number of complicated test cases, including surfaces with high curvature (see Figure 3), and the example known to make linear conformal parameterization methods fail (’obtuse’ entry in Table 1 and Figure 4). Although this is not guaranteed, for all these test ...
Cost-effective Outbreak Detection in Networks Jure Leskovec Andreas Krause Carlos Guestrin
... that, perhaps counterintuitively, a more cost-effective solution can be obtained, by reading smaller, but higher quality, blogs, which our algorithm can find. There are several possible criteria one may want to optimize in outbreak detection. For example, one criterion seeks to minimize detection time ...
... that, perhaps counterintuitively, a more cost-effective solution can be obtained, by reading smaller, but higher quality, blogs, which our algorithm can find. There are several possible criteria one may want to optimize in outbreak detection. For example, one criterion seeks to minimize detection time ...
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... function f is weakly decreasing or strictly decreasing in V. Usually, if it is clearly defined, instead of the terms weakly increasing or strictly increasing, simply increasing is used. In this article the terms weakly increasing or strictly increasing are used consistently, the same remark applies ...
... function f is weakly decreasing or strictly decreasing in V. Usually, if it is clearly defined, instead of the terms weakly increasing or strictly increasing, simply increasing is used. In this article the terms weakly increasing or strictly increasing are used consistently, the same remark applies ...
Mathematical optimization
In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.