mx.quasi.concave.cond: Returns the conditions from the principal minor test that the...

In skranz/RMaxima: An interface between R and Maxima

Description

Returns the conditions from the principal minor test that the function f is jointly quasi-concave in in all variables in var

Usage

  mx.quasi.concave.cond(f, var, with.descr = FALSE,
    jacobian = NULL, hessian = NULL)

Arguments

f	a string that specifies the Maxima formula of the function body
var	a character vector specifying the variables

Examples

## Not run: 
  f = "x^(1/2)*y^(1/2)"
  var = c("x","y")
  mx.quasi.concave.cond(f,var)

  f = "x^2+y^(1/2)"
  f = "(x^2)*(y^(1/2))"
  var = c("x","y")
  ret = mx.quasi.concave.cond(f,var)
  ret
  mx.sign(cond,assume="x>=0,y>=0")

  f = "(x^2)*(y^(1/2))"
  f = "x^(1/2)*y^(1/2)"
  
  mx.check.concavity(f,var,assume="x>0,y>0")
  
  pi.i =  "(a*(qi+Q_i)^(-b))*qi-c1*qi"
  dpi.i = mx.diff(pi.i,"qi")
  ddpi.i = mx.diff(dpi.i,"qi")
  
  
  mx.check.concavity(pi.i,"qi", assume="a>0,b>0,b<1,c1>0,Q_i>0,qi>0")
  

## End(Not run)

skranz/RMaxima documentation built on May 30, 2019, 1:08 a.m.