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Linear algebra is an extremely important course in a number of disciplines, including physics and geometry. From modeling data systems in computer science to representing the complex economic models of the finance industry, vectors and matrices are important components of calculating facts and figures that represent the complexities of reality. The study of linear algebra came from the study of determinants, which are values used to solve linear equations. Determinants were used by Gottfried Wilhelm Leibniz, a German philosopher and mathematician from the 17th century, and by Gabriel Cramer, a Swiss mathematician from the 18th century. The idea of matrices came about in the 1800s. English mathematician James Joseph Sylvester coined the term matrix," which is Latin for "womb." Arthur Cayley, another 19th-century English mathematician, discovered the link between determinants and matrices. He stated that the theory of matrices should precede the theory of determinants.

You may have already been solving systems of equations for some time, but linear algebra ups the ante, forcing you to formalize many of the technical skills you have learned before. In linear algebra, you will learn a number of theorems that build on the skills that you have previously mastered in lower-level algebra and vector mathematics courses. The theorems in linear algebra take the treatment of equation systems and vector spaces into much more abstract realms. Don't allow yourself to become overwhelmed with the generalization and theoretical focus of this course. Contact Varsity Tutors today, and allow us to help you find a linear algebra tutor who can help you achieve your academic goals, no matter where you reside in the United States.