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This project involves sorting data on a stack, with a limited set of instructions, and the smallest number of moves. To make this happen, you will have to manipulate various sorting algorithms and choose the most appropriate solution(s) for optimized data sorting.
Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.
A C++ program that adds two non-negative integers represented by reverse-ordered linked lists and returns the sum as a new linked list, simulating digit-by-digit addition in reverse order.
An implementation of a novel Gradient Boosting algorithm inspired by ARMA models, as detailed in the associated IEEE paper on nonlinear sequential regression.
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This project is about sort data on a stack, with a limited set of instructions, using the lowest possible number of actions. To succeed it must have to manipulate various types of algorithms and choose the most appropriate solution (out of many) for an optimized data sorting.
This project involves sorting data on a stack, with a limited set of instructions, and the smallest number of moves. To make this happen, you will have to manipulate various sorting algorithms and choose the most appropriate solution(s) for optimized data sorting.