select article Algorithms and complexity for functions on general domains Research articleOpen archive Algorithms and complexity for functions on general domains Erich Novak Article 101458 View PDF select article Tractability properties of the discrepancy in Orlicz norms ...
Computer science - Algorithms, Complexity, Programming: An algorithm is a specific procedure for solving a well-defined computational problem. The development and analysis of algorithms is fundamental to all aspects of computer science: artificial intell
3. Reinforcement learning algorithms.Inreinforcement learning, the algorithm learns by interacting with an environment, receiving feedback in the form of rewards or penalties, and adjusting its actions to maximize the cumulative rewards. This approach is commonly used for tasks like game playing, robot...
Programming has always been a highly in-demand skill for software developers, more so these days with innovation in technology. Data Structures and algorithms form the ultimate foundation of programming. They are very useful in solving real world complex problems. That’s precisely the reason why t...
“In Graph Theory with Algorithms and its Applications, Santanu Saha Ray intends to provide a course text for students in computer science, applied mathematics and operations research. … Overall I think Graph Theory with Algorithms and its Applications could serve as an excellent reference and conta...
We considered three variable sorting algorithms: VarSort3, VarSort4 and VarSort5. The human benchmark in each case is defined as an algorithm that, for a given input length, calls the corresponding sorting network. In this case, branching is required, which greatly increases the complexity of...
Feature attributions based on the Shapley value are popular for explaining machine learning models. However, their estimation is complex from both theoretical and computational standpoints. We disentangle this complexity into two main factors: the approa
This textbook considers randomization as a key concept and emphasizes the interplay between theory and practice: New branches of complexity theory continue to arise in response to new algorithmic concepts, and its results - such as the theory of NP-completeness - have influenced the development of ...
defquicksort(seq):iflen(seq)<=1:returnseq # Basecaselo,pi,hi=partition(seq)# pi isinits placereturnquicksort(lo)+[pi]+quicksort(hi)# Sort lo and hi separately seq=[7,5,0,6,3,4,1,9,8,2]printquicksort(seq)#[0,1,2,3,4,5,6,7,8,9] ...
Fortunately, there are ways of doing this, and we don’t need to wait and see the algorithm at work to know if it can get the job done quickly or if it’s going to collapse under the weight of its input. When we consider the complexity of an algorithm, we shouldn’t really care ...