Ornl: 7 Gaussian Elimination on Band Matrices

Two real-world activities to practice adding, subtracting and multiplying matrices to problem solve. Data from several Pro football quarterbacks is used in one activity to make some predictions based on their stats. Then the class takes...

Matrices help solve systems of equations in chemistry, computer graphics, circuitry, probability, and more. The second lesson in a seven-part series focuses on using matrices to balance chemical equations. Pupils rely on the Law of...

Solve a matrix in code—color code. Pupils use the interactive resource to set up the matrix equation and its solution path. Scholars use the created solution path to determine the entries of the 2 X 2 solution.

In this lesson, the Gaussian Elimination method is used to solve systems of linear equations. Provides several formulas and examples for understanding.

Scholars apply concepts learned in both Algebra II and Chemistry to answer the questions on the provided worksheet. The activity allows for extra practice in both classes and helps connect concepts usually taught in isolation. The...

This site provides an example of Guassian Elimination and concludes with a specific example.

Visualize matrix multiplication on the coordinate plane. Pupils use the interactive to create a matrix multiplication problem using vectors. The scholars see the resulting product of the matrices as a vector.

Make connections between vectors and matrices through multiplication. Scholars use the interactive to view the effect of multiplying a matrix by a scalar. The interactive displays the resulting matrix and its corresponding column vectors...

Discover the procedure to add and subtract matrices. Pupils use the interactive and discover the pattern in adding and subtracting matrices. Scholars adjust the entries in the addends and see the resulting changes in the sum. They also...

Apply matrices to fashion. Here your classes use a matrix to create a popular clothing design. As they construct the pattern, they review the dimensions of a matrix by considering the rows and columns.