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Chapter 13: Matrices
183
13MATRX.DOC   TI-86, Chap 13, US English   Bob Fedorisko   Revised: 02/13/01 2:32 PM   Printed: 02/13/01 3:03 PM   Page 183 of 10
13MATRX.DOC   TI-86, Chap 13, US English   Bob Fedorisko   Revised: 02/13/01 2:32 PM   Printed: 02/13/01 3:03 PM   Page 183 of 10
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NAMES
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MATH
OPS
CPLX
det
T
norm
eigVl
eigVc
4
rnorm
cnorm
LU
cond
det 
squareMatrix
Returns the determinant of squareMatrix
matrix
T
Returns a transposed matrix; each element’s (row,column) coordinates switch
norm 
matrix
Returns the Frobenius norm (
G(real
2
+imaginary
2
)) where the sum is over
all elements of a real or complex matrix
eigVl 
squareMatrix
Returns a list of the normalized eigenvalues of a real or complex
squareMatrix
eigVc 
squareMatrix
Returns a matrix containing the eigenvectors for a real or complex
squareMatrix
; each column corresponds to an eigenvalue
rnorm 
matrix
(row norm) Returns the largest of the sums of the absolute values of the
elements (magnitudes of complex elements) in each row of matrix
cnorm 
Matrix
(column norm) Returns the largest of the sums of the absolute values of the
elements (magnitudes of complex elements) in each column of matrix
LU(
matrix
,
   lMatrixName
,
   uMatrixName
,
   pMatrixName
)
Calculates the Crout LU (lower-upper) decomposition of a real or complex
matrix
; stores the lower triangular matrix to lMatrixName, the upper
triangular matrix to uMatrixName, and the permutation matrix (which
describes the row swaps done during calculation) in pMatrixName
cond 
squareMatrix
Calculates
 cnorm
 squareMatrix¹
cnorm
 squareMatrix
M
1
 ; the closer the
product is to 1, the more stable squareMatrix can be expected to be in matrix
functions