# lab11 - IE170 Lab#11 Prof Linderoth IE 170 Lab#11...

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IE170 Lab #11 Prof. Linderoth IE 170 – Lab #11: Introduction to Matrix Manipulation 1 Description and Objectives In the next couple of lab session, you will write code to manipulate, convert, transform, and factorize matrices. In this lab, our focus will be on the creation and conversion between various matrix formats, and also on how one can perform basic operations on matrices that are stored in the different formats. In class, we learned of three matrix formats: Dense, (compressed) sparse column, and (compressed) sparse row. Your mission, should you choose to accept it 1 , will be to write code that can convert between each of these types of matrices and also multiply two matrices that are of the same type. Lab Objectives 1. Understand dense matrix representation 2. Understand sparse matrix representation 3. Implement (efficient) conversion routines for converting between matrices of different formats 2 Dense Matrix Operations Look at the DenseMatrix.java (template) class that you have been provided. In this class, the matrix is internally represented as a two-dimenional array.

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