100% Plagiarism-Free
+1-727-416-5453

Sign In

Access your dashboard and order activity.

Forgot password?

Create Account

Register to place orders and track every step.

MATH 406

Computational Linear Algebra

Binghamton University 4 credits MATH

Course Description

This course delves into the linear algebra over the real field. The topics include matrices, eigenvectors, eigenvalues, matrix rank, functions of a matrix, nonnegative matrices, stochastic and doubly stochastic matrices, positive- and nonnegative-definite matrices, projections, idempotent matrices, factorizations of a matrix, matrix inequalities, the least squares problem, optimization and matrix approximation, and quadratic forms. Prerequisite: A grade of C or better in Math 304 and Math 323. Offered regularly. 4 credits.

Code
MATH 406
Credits
4
Subject
MATH

Programs That Include This Course

Get expert help with MATH 406 Computational Linear Algebra

Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β€” written from scratch to your course requirements.

Get Help Now

Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

Academic Resources

Latest from the Blog

Expert guides on essay writing, citation styles, study skills, and academic success.

View All Articles