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(6 classifications) (59 resources)


Classifications (LC)
General works, treatises, and textbooks (6)
Matrices (17)
Problems, exercises, examinations (11)
Special topics, A-Z (5)
Vector and tensor algebra (7)
Vector spaces (4)

 

Resources

Two-dimensional (x,y) functions: linear (slope-intercept, point-slope, and general forms), polynomial (definition, roots, graphs), and exponential (definition, exponential growth, radioactive decay, money matters -...
Created by David Smith for the Connected Curriculum Project, the purpose of this module is to explore a significant application of eigenvalues and eigenvectors. This is part of a larger collection of learning modules...
Teaching algebra can be a difficult proposition, and at times, those who have just entered the field of mathematics education can feel a bit overwhelmed. Stepping in to provide a bit of assistance is this series of...
This course provides an introduction to algorithms. Topics include sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow;...
This course, presented by MIT and taught by Professor Alar Toomre, provides an introduction to numerical analysis. The material looks at the basic techniques for the efficient numerical solution of problems in science...
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