Brief Description of Course Content Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear ...

LINEAR ALGEBRA: systems of equations and matrices, vector spaces, bases, linear transformations, image and kernel of a linear transformation, orthogonality, projections, reflections, least squares, ...

Numerical Linear Algebra by Trefethen and Bau Lecture notes (R.Morrison) Canvas for announcements, class recordings, and grading Slack for questions about the course and student - led discussions (See ...

MATH.5640 — Graduate Id: 008440 Offering: 1 Credits: 3-3 Description Computations that involve matrix algorithms are happening everywhere in the world at every moment in time, whether these be ...

Topics covered: One-variable calculus including inverse functions, local inverses, critical points, optimisation, integration and differential equations, Functions of several variables including ...

All Ph.D. students must pass two Joint Program Examinations. One exam covers Mathematical Analysis (MA 640 and MA 641). The other exam covers Linear Algebra and Numerical Linear Algebra (MA 631 and MA ...

Math 114 - Mathematics and Statistics course is designed for liberal arts majors who currently do not intend to take additional courses in mathematics at the University of Delaware.