Nderivative(); Newlist; Newmat(); Nfmax() - Texas Instruments TI-Nspire Reference Manual

nDerivative()

Expr1 Var=Value
nDerivative( ,
Expr1 Var
nDerivative( , [,
Returns the numerical derivative calculated using auto differentiation
methods.
When Value is specified, it overrides any prior variable assignment or
any current "with" substitution for the variable.
If the variable Var does not contain a numeric value, you must
provide Value.
Order of the derivative must be
Note: The nDerivative() algorithm has a limitiation: it works
recursively through the unsimplified expression, computing the
numeric value of the first derivative (and second, if applicable) and
the evaluation of each subexpression, which may lead to an
unexpected result.
Consider the example on the right. The first derivative of
x·(x^2+x)^(1/3) at x=0 is equal to 0. However, because the first
derivative of the subexpression (x^2+x)^(1/3) is undefined at x=0,
and this value is used to calculate the derivative of the total
expression, nDerivative() reports the result as undefined and
displays a warning message.
If you encounter this limitation, verify the solution graphically. You
can also try using centralDiff().

newList()

⇒
numElements
newList( )
Returns a list with a dimension of numElements. Each element is
zero.

newMat()

numRows numColumns
newMat( ,
Returns a matrix of zeros with the dimension numRows by
numColumns.

nfMax()

⇒
Expr Var value
nfMax( , )
Expr Var lowBound
nfMax( , ,
Expr Var lowBound
nfMax( , ,
Expr, Var lowBound
nfMax( ) |
Returns a candidate numerical value of variable Var where the local
maximum of Expr occurs.
If you supply lowBound and upBound, the function looks between
those values for the local maximum.
⇒
Order value
[, ])
⇒
Order Var=Value value
]) |
or .
1 2
list
⇒
matrix
)
⇒
value
)
⇒
,
upBound value
)
⇒
Var upBound value
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