We provide a characterization of the cases when the greedy algorithm may produce the unique worst possible solution for the problem of finding a minimum weight base in an independence system when the weights are
The answer is yes, and the framework that enables us to do this is called a matroid. That is, if we can phrase the problem we’re trying to solve as a matroid, then the greedy algorithm is guaranteed to be optimal. Let’s start with an example when greedy is provably optimal: the ...
The familiar long division procedure is recast as an application of the greedy algorithm for a Knapsack Problem. In this light it can be seen to yield the desired quotient by employing the smallest possible number of subtractions.doi:10.1080/05695557608975079...
Whether LLMs have the ability to detect vulnerabilities? The following papers conduct preliminary studies on this question. Although their results may vary due to some unknown reasons (e.g., they may use different datasets), in general, they all show that LLMs are promising for vulnerability de...
It's estimated between three to seven kilowatt-hours of energy are needed for every gigabyte of information transferred and stored. 据估计,每传输和存储一 千兆字节的信息 需要 三到七千瓦时的能量。 To put that into context, watching about two minutes of 4K video ...
it is meaningful to ask for an optimal solution. If a meaningful optimal solution exists and the objective function depends on data measured on an ordinal scale of measurement, then the greedy algorithm will give such a solution for a wide range of objective functions. Keywords: Optimization, Me...
In seminal work, Dawid and Skene use an EM-algorithm to infer \(z_i\) that outperforms the basic majority-vote strategy22 and much subsequent work has studied and generalized this approach4,17. Problem properties Learning labels accurately is the goal of the crowdsourced labeling problem ...
adopting minimizer indexing fromminimap2to find seeds, but with a different approach for seeding and alignment [44].Chromapfollows a similar approach tominimap2for chaining anchors and generates alignment candidates. Finally, a bit-parallel algorithm is used to find the best alignment candidate with...
- ``'greedy'`` An algorithm that heuristically chooses the best pair contraction at each step. - ``'auto'`` Choose the best of the above algorithms whilst aiming to keep the path finding time below 1ms. use_blas : bool Use BLAS functions or not ...
Explanation: Greedy Best First Search tries to expand the node that is closest to the goal, on the grounds that this is likely to lead to a solution quickly. Thus, it evaluates nodes by using just the heuristic function; that is,f(n) = h(n). ...