Relational databaseDijkstra algorithmSqlAs an important data structure, map is widely used in modern enterprise management software. Route planning, decision support, finding the critical path, and other activities all need the algorithms in graph theory. And once the map becomes more complex, it ...
We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case ...
This is An implementation ofweighted directed graphdata structure written in Object-C. It usesDijkstra’s algorithmto find the shortest path between a source node and target node. Note¶↑ The code is pretty well tested. Currently all tests pass, but it is not yet battle tested, and it ...
The weighted k-NN algorithm is one of the simplest of all ML techniques, but there are a few tricky implementation details. The first question most developers have is, “How do you determine the value of k?” The somewhat unsatisfying answer is that the value of k must be determined by ...
Mabain: a key-value store library Mabain is a light-weighted C++ library that provides a generic key-value store based on a radix tree implementation. It supports multi-thread and multi-process concurrency(see Caveats below). Mabain can be used for exact and common prefix key match. Please...
We introduce a new algorithm MaxCliqueWeight for identifying a maximum weight clique in a weighted graph, and its variant MaxCliqueDynWeight with dynamically varying bounds. This algorithm uses an efficient branch-and-bound approach with a new weighted g
enhancement to the original Grover algorithm, offering insights to optimize implementation strategies and broaden its range of applications. Introduction Grover search on weighted databases Full size image $$\begin{aligned} \min \limits _{j=1,\dots ,N}\left\{ \frac{1}{p_j}\right\} \leqslant...
We propose a self-similarity weighted graph-based implementation of α-mutual information (α-MI) for nonrigid image registration. We use a self-similarity measure that uses local structural information and is invariant to rotation and to local affine intensity distortions, and therefore the new ...
RCL (see above) was recently added, so some focus will be to improve/extend its implementation, as well as support and documentation. A second area of development, tied to the first, will be low-level fast loading, filtering and subsetting of large networks and matrices. I have found occa...
Weighted networks capture the structure of complex systems where interaction strength is meaningful. This information is essential to a large number of processes, such as threshold dynamics, where link weights reflect the amount of influence that neighbo