The smartest way to use AI may not be letting it touch your files, but asking it to write software that handles them safely - ...

This article will introduce the concepts and topics common to all programming languages that beginners and experts must know! Do you want to learn a programming language for the first time? Do you ...

A method for locating specific character strings embedded in character text is described and an implementation of this method in the form of a compiler is discussed. The compiler accepts a regular ...

Abstract: The edit distance (also known as Levenshtein distance) of two strings is the minimum number of insertions, deletions, and substitutions of characters needed to transform one string into the ...

Abstract: Differential dynamic programming (DDP) is a popular technique for solving nonlinear optimal control problems with locally quadratic approximations. However, existing DDP methods are not ...

The Smith-Waterman algorithm is a dynamic programming algorithm to find the optimal alignment of two sequences. This repository provides a basic implementation of the Smith-Waterman algorithm that has ...

In "llvm/include/llvm/ADT/edit_distance.h:ComputeEditDistance()" function, if two strings(or arrays) are both empty, the result would be a random value, but expected ...

Presented at the 2015 Supercomputing Conference, this paper shows that dynamic parallelism enables relatively high-performance graph algorithms for GPUs. Dynamic parallelism allows GPU kernels to ...

ABSTRACT: A precise and commonly accepted definition of paraphrasing does not exist. This is one of the reasons that have prevented computational linguistics from a real success when dealing with this ...

ABSTRACT: We consider the energy minimization problem for a two-cell broadcasting system, where the focus is devising energy efficient joint power control and scheduling algorithms. To improve the ...