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Abstract: Sparse linear algebra is a key component of many scientific computations such as computational fluid dynamics, mechanical engineering or the design of new materials to mention only a few.

This project analyzes customer spending behavior using R, employing concepts like normalization, similarity computation, matrix transformation, and eigenvalue analysis. The process includes graphical ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Linear transformations. Linear operators, change of basis, inner product and the diagonalization problem. Quadratic forms. Convex sets and geometric programming, input/output models for an economy, ...

This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...

MILPITAS, CA, July 27, 2005 AccelChip Inc., the industrys only provider of automated flows from MATLAB algorithms to silicon, has become the first company to provide a family of fixed-point linear ...