Texas Instruments TI-89 Titanium Short User Manual page 174

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If you do not include any guesses and if any
equation is non-polynomial in any variable but all
equations are linear in all solution variables,
cSolve()
determine all solutions.
If a system is neither polynomial in all of its
variables nor linear in its solution variables,
cSolve()
an approximate iterative method. To do so, the
number of solution variables must equal the
number of equations, and all other variables in
the equations must simplify to numbers.
A non-real guess is often necessary to determine
a non-real solution. For convergence, a guess
might have to be rather close to a solution.
CubicReg
MATH/Statistics/Regressions menu
list1
CubicReg
Calculates the cubic polynomial regression and
updates all the statistics variables.
All the lists must have equal dimensions except
for
list5
represents xlist.
list1
represents ylist.
list2
represents frequency.
list3
represents category codes.
list4
represents category include list.
list5
Note:
or c1–c99 (columns in the last data variable
shown in the Data/Matrix Editor).
have to be a variable name and cannot be c1–c99
.
cumSum()
MATH/List menu
list1
cumSum(
Returns a list of the cumulative sums of the
elements in
matrix1
cumSum(
Returns a matrix of the cumulative sums of the
elements in
cumulative sum of the column from top to
bottom.
168
uses Gaussian elimination to attempt to
determines at most one solution using
[
list2
list3
list4
list5
,
, [
] [,
,
.
through
must be a variable name
list1
list4
) ⇒
list
, starting at element 1.
list1
) ⇒
matrix
. Each element is the
matrix1
cSolve(u_+v_=
i
, {u_,v_}) ¸
cSolve(
{w_,z_}) ¸
cSolve(
{w_,z_=1+
]
In function graphing mode.
]
{0,1,2,3}! L1 ¸
{0,2,3,4}! L2 ¸
CubicReg L1,L2 ¸
ShowStat ¸
¸
regeq(x)"y1(x) ¸
does not
list5
NewPlot 1,1,L1,L2 ¸
¥ %
cumSum({1,2,3,4}) ¸
[1,2;3,4;5,6]! m1 ¸
cumSum(m1) ¸
Appendix A: Functions and Instructions
e
^(w_) and u_ì v_=
w_
e
i
u_=
+1/2ø
and v_=
2
e
^(z_)=w_ and w_=z_^2,
w_=.494... and z_=ë.703...
e
^(z_)=w_ and w_=z_^2,
i
}) ¸
w_=.149... + 4.891...ø
z_=1.588... + 1.540...ø
{1 3 6 10}
w_
ì
e
i
2
i
and
i
{0 1 2 3}
{0 2 3 4}
Done
Done
Done
1
2
3
4
5
6
1
2
4
6
9
12

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