Review paper

Computing in Operations Research Using Julia

Volume: 27, Issue: 2, Pages: 238 - 248
Published: Apr 1, 2015
Abstract
The state of numerical computing is currently characterized by a divide between highly efficient yet typically cumbersome low-level languages such as C, C++, and Fortran and highly expressive yet typically slow high-level languages such as Python and MATLAB. This paper explores how Julia, a modern programming language for numerical computing that claims to bridge this divide by incorporating recent advances in language and compiler design (such...
Paper Details
Title
Computing in Operations Research Using Julia
Published Date
Apr 1, 2015
Volume
27
Issue
2
Pages
238 - 248
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