This will also be an introduction to the role of randomization in algorithm design. Next ... In this module, we will learn randomized pivot selection for quicksort and quickselect. We will learn how ...

Introduction to Abstract Mathematics (MA103), or ... Incremental and recursive algorithms, Divide-and-Conquer, Greedy algorithms, Master Theorem. A selection of special topics. This course is ...

Companies turn to scientific modeling and algorithms to help narrow down college selection, with the goal of dramatically decreasing dropout rate. A new algorithm is using data and predictive ...

Introduction to methodologies for program design, development, testing, and documentation. Topics include program design, algorithm design, number systems, classes and objects, methods (functions), ...

In this work, we propose a DHR executor selection algorithm based on historical credibility and dissimilarity clustering (HCDC). The executors are classified according to historical credibility ...

Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Rigorous and tested in the classroom, Introduction to ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...