Dependency analysis is a useful technique that has many applications in software engineering activities, including software understanding, testing, debugging, maintenance and evolution. This paper proposes a matrix-based dependency representation approach for managing dependencies in CBS. A problem has been ...
Our dependency metric is the simplest way to encode the complex joint probability of visitation patterns to POIs in urban areas; however, it does not capture the causal mechanism of covisitations. By computing the dependency weights wij ∀ i, j, we obtain the adjacency matrix of the ...
Dependency Structure Matrix (DSM) has been successfully applied to identify software dependencies among packages and subsystems. A number of algorithms were proposed to compute the matrix so that it highlights patterns and problematic dependencies between subsystems. However, existing DSM implementations of...
Transfer time matrix Dv with four entries for the time required to transfer the kernel input for all the combinations of source and destination: GPU→CPU, CPU→GPU, GPU→GPU, CPU→CPU. Clearly, Dv[CPU→CPU] = Dv[GPU→GPU] = 0, as long as the source and destination are the same GPU...
Run this class. The expected console output looks as follows - for each granularity level, we see a matrix representation of the detected number of conflicts. Each field in the matrix represents the conflicts of a particular rule pair, e.g. the field with the number "6" in the second mat...
To create a Matrix Diagram, select Modeling > Impact Analysis > Matrix from the application toolbar. In order to form a matrix you need to choose the things to list on the rows and columns. In this tutorial, we want to show the relationships among classes. Therefore we need to list clas...
Assume that we store the n images in the training set as a data matrix Djktrain=Xtrain(j)[k] of shape n×d where j denotes the n image indices and the index k enumerates the d pixels of each image. The data matrix of the test set Diktest=Xtest(i)[k] has shape m×d and ...
Although it is customary to represent the binding specificity of a TF by a position-specific weight matrix (PSWM), which ass... S Omidi,M Zavolan,M Pachkov,... - 《Plos Computational Biology》 被引量: 8发表: 2017年 Transition Dependency: A Gene-Gene Interaction Measure for Times Series...
It assigns relative scores to all nodes in the network based on the concept that connections to high-scoring nodes contribute more to the score of current node than equal connections to low-scoring nodes and are computed by the adjacency matrix. For a given network (graph) G = (V, E) ...
themodule's Go versionwhen selecting dependencies. For example, if the module mentions1.17building with1.18might result in a different set of dependencies selected. By default, the version inside of the main module'sgo.modfile is used. For this iteration, matrix testing should be considered out ...