Abstract: Quantum walk-based search algorithms have demonstrated an asymptotic quadratic speedup compared to classical search methods. Formulating a generic search problem as a (quantum) search over a ...

Abstract: High-lag autocorrelation estimation enhances noise suppression in ultrafast power Doppler imaging by exploiting the temporal coherence among Doppler ensembles. The temporal-multiply-and-sum ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Health Data Science, MSc in Management of Information ...

RankerUp (version 3) was built with one clear goal: accelerate algorithm learning in C, with a strong focus on backtracking, to prepare for the Rank 3 exam at 42. More than just a collection of ...

This PR adds an implementation of Kadane's Algorithm, an efficient dynamic programming approach to solve the Maximum Subarray Sum problem in O(n) time. Initializes current and global maximum values.