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Advanced TI-84 Matrix Solver Calculator
Professional matrix operations with 6×6 support, row reduction, eigenvalues, LU decomposition, fractions, and matrix storage. Complete educational tool for university-level linear algebra problems.
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System Solver
Example Matrices
Quickly load pre-defined examples for different operations:
Matrix A
Size:
×
Matrix B
Size:
×
Decimal Format:
Fraction Format
[A] [[1,2,3]
[4,5,6]
[7,8,9]]
[B] [[9,8,7]
[6,5,4]
[3,2,1]]
[A]+[B]
[[10,10,10]
[10,10,10]
[10,10,10]]
Matrix Operations Tutorial
Matrix Basics
Operations
Applications
Advanced Topics
Matrix Basics
A matrix is a rectangular array of numbers arranged in rows and columns. Matrices are fundamental in linear algebra and have numerous applications in mathematics, physics, computer science, and engineering.
Matrix Notation
A matrix with m rows and n columns is called an m×n matrix. The element in the i-th row and j-th column is often denoted as aij.
Types of Matrices
- Square Matrix: Same number of rows and columns (n×n)
- Identity Matrix: Square matrix with 1s on the diagonal and 0s elsewhere
- Zero Matrix: All elements are zero
- Diagonal Matrix: Non-zero elements only on the diagonal
- Symmetric Matrix: Equal to its transpose (A = AT)
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