Some conjectures on the behavior of acknowledgement-based transmission control of random access communication channels A class of acknowledgment-based transmission control algorithms is considered. In the finite population case, we claim that algorithms based on backoff functions which increase faster than ...
Among the many types of algorithms such as bubble sort, quick sort, merge sort, and more, it is not right to put one method on the podium for performance as this greatly varies based on data, the reaction after the algorithm processes the data, and how it’s stored. The concept of t...
BFS is not used to find the minimum spanning tree. Algorithms like Kruskal's and Prim's are used for finding the minimum spanning tree. Discuss this question 21. What is the time complexity of the Karatsuba algorithm for multiplying two binary strings?
An analysis of the complexity of the known solution algorithms is given for four problems of number theory — the solving of Diophantine equations and inequalities and the seeking of Diophantine approximations and solutions of quadratic Diophantine equations. A comparison is made of the various ...
《算法导论》(Introduction to Algorithms,由 Thomas H. Cormen、Charles E. Leiserson、Ronald L. Rivest、Clifford Stein 合著,取四人名字的一个首字母,简称 CLRS,该书详细介绍了经典算法的原理,并给出了正确性证明)提到:“不正式地说,算法是任何定义明确的计算过程,该过程取某个值或值的集合作为输入,并产生某...
With only 3 parameters (sigma_v, sigma_d, sigma_d3) in this case, complexity arises from the interactions of the 4 lambdas in the 4 equations. Upon examining the equations (highlighted in yellow), I suspect hidden symmetries. Is it possible to solve the system by rewriting the equations ...
An analysis of the complexity of the known solution algorithms is given for four problems of number theory — the solving of Diophantine equations and inequalities and the seeking of Diophantine approximations and solutions of quadratic Diophantine equations. A comparison is made of the various algorith...
Yes. Most of the algorithms use Euclidean distance between data points, and if the feature value varies greatly, the results will be quite different. In most cases, outliers cause machine learning models to perform worse on the test dataset. We also use feature scaling to reduce convergence ...
If your solution is asymptotically faster than the one in the main branch. If your algorithm is of the same time complexity but with reduced code size it would be better to, comment out the original solution and make a pull request with your solution....
Machine Learning forms a subset of Artificial Intelligence, where we use statistics and algorithms to train machines with data, thereby, helping them improve with experience. Deep Learning is a part of Machine Learning, which involves mimicking the human brain in terms of structures called neurons,...