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In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including ...
We introduce an approach that automatically learns to solve algebra word problems. Our algorithm, a pioneering result for this task, reasons across sentence boundaries. It constructs and solves a ...
Lazy Linear Algebra (LLA) is a custom programming language, implemented from scratch in Ruby 3.0.1. My favorite parts of it are that: It provides some visually appealing syntax for linear algebra. It ...
The scientific research on issues related to numerical linear algebra constitutes an interesting topic for study in the last decades. In this manuscript, a general and fast recurrent neural network ...
Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.
Linear programming has several advantages for solving logistics problems. First, LP can handle large-scale problems with many variables and constraints, using efficient algorithms and software.
Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...
But how do you use linear algebra and calculus to implement NLP techniques? In this article, we will explore some of the basic concepts and methods that involve these mathematical tools in NLP.
Discover how Intuitionistic Fuzzy Set (IFS) revolutionizes decision making under uncertainty. Explore our innovative technique for solving intuitionistic fuzzy linear programming problems without the ...
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