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Welcome to the 21-366 Topics in Applied Mathematics: Linear Algebra with Applications repository. This is a collection of lecture notes, code, and other resources for students enrolled in the 21-366 ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...

Abstract: The paper introduces PyLexFLP: an implementation of the lexicographic method for fuzzy linear programming (FLP) in the Python programming language. We first describe the types of FLP ...

Pure Python: We will use nested lists to represent and operate with vectors and matrices. NumPy: You will learn to work with arrays, which facilitates many operations and optimizes performance. By the ...

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Prerequisites: MATH 2331 and MATH 3325, and three additional hours of 3000-4000 level Mathematics. Text(s): Linear Algebra, 5th Edition by Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence.