mosaic (version 0.9-0)

D: Derivative and Anti-derivative operators

Description

Operators for computing derivatives and anti-derivatives as functions.

Usage

D(formula, ..., .hstep = NULL, add.h.control = FALSE)
antiD(formula, ..., lower.bound = 0, force.numeric = FALSE)
makeAntiDfun(.function, .wrt, from, .tol = .Machine$double.eps^0.25)
numerical_integration(f, wrt, av, args, vi.from, ciName = "C", .tol)

Arguments

formula

A formula. The right side specifies the variable(s) with which to carry out the integration or differentiation. On the left side should be an expression or a function that returns a numerical vector of the same length as its argument. The expressi

...

Default values to be given to unbound variables in the expression expr. See examples.#' Note that in creating anti-derivative functions, default values of "from" and "to" can be assigned. They are to be written with the name of the variable

.hstep

horizontal distance between points used for secant slope calculation in numerical derivatives.

add.h.control

logical indicating whether the returned derivative function should have an additional parameter for setting .hstep. Meaningful only for numerical derivatives.

lower.bound

for numerical integration only, the lower bound used

force.numeric

If TRUE, a numerical integral is performed even when a symbolic integral is available.

.function

function to be integrated

.wrt

character string naming the variable of integration

from

default value for the lower bound of the integral region

f

a function

wrt

character string naming a variable: the var. of integration

av

a list of the arguments passed to the function calling this

args

default values (if any) for parameterss

vi.from

the the lower bound of the interval of integration

ciName

character string giving the name of the symbol for the constant of integration

.tol

Numerical tolerance. See stats::integrate

Value

• For derivatives, the return value is a function of the variable(s) of differentiation, as well as any other symbols used in the expression. Thus, D(A*x^2 + B*y ~ x + y) will compute the mixed partial with respect to x then y (that is, $\frac{d^2 f}{dy\;dx}$). The returned value will be a function of x and y, as well as A and B. In evaluating the returned function, it's best to use the named form of arguments, to ensure the order is correct.

  a function of the same arguments as the original expression with a constant of integration set to zero by default, named "C", "D", ... depending on the first such letter not otherwise in the argument list.

Details

D attempts to find a symbolic derivative for simple expressions, but will provide a function that is a numerical derivative if the attempt at symbolic differentiation is unsuccessful. The symbolic derivative can be of any order (although the expression may become unmanageably complex). The numerical derivative is limited to first or second-order partial derivatives (including mixed partials). antiD will attempt simple symbolic integration but if it fails it will return a numerically-based anti-derivative.

antiD returns a function with the same arguments as the expression passed to it. The returned function is the anti-derivative of the expression, e.g., antiD(f(x)~x) -> F(x). To calculate the integral of f(x), use F(to) - F(from).

Examples

D(sin(t) ~ t)
D(A*sin(t) ~ t )
D(A*sin(2*pi*t/P) ~ t, A=2, P=10) # default values for parameters.
f <- D(A*x^3 ~ x + x, A=1) # 2nd order partial -- note, it's a function of x
f(x=2)
f(x=2,A=10) # override default value of parameter A
g <- D(f(x=t, A=1)^2 ~ t)  # note: it's a function of t
g(t=1)
gg <- D(f(x=t, A=B)^2 ~ t, B=10)  # note: it's a function of t and B
gg(t=1)
gg(t=1, B=100)
f <- makeFun(x^2~x)
D(f(cos(z))~z) #will look in user functions also
antiD( a*x^2 ~ x)
antiD( A/x~x )
F <- antiD( A*exp(-k*t^2 ) ~ t, A=1, k=0.1)
F(t=Inf)
one = makeFun(1~x&y)
by.x = antiD( one(x=x, y=y) ~x)
by.xy = antiD(by.x(x=sqrt(1-y^2), y=y)~y)
4*by.xy(y=1) #area of quarter circle