It seems that the find_minimum_on_interval and
find_maximum_on_interval functions do not work properly. I found some
posts about this and a ticket (http://trac.sagemath.org/sage_trac/
ticket/2607). Are there any alternatives built into sage that would
allow the numerical search for extreme values in a given interval?

Here is another example of something going horribly wrong (I actually
get that 'cannot coerce type...' message a lot when I try the
find_maximum... function):

-
| SAGE Version 3.1.1, Release Date: 2008-08-17                       |
| Type notebook() for the GUI, and license() for information.        |
----------------------------------------------------------------------

sage: find_minimum_on_interval(-x^2,-1,1)
(-0.99999992595132459, -0.999999962976)
sage: find_maximum_on_interval(-x^2,-1,1)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call
last)

/Users/sschym/Downloads/Free/sage-3.1.1/<ipython console> in
<module>()

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/numerical/optimize.py in find_maximum_on_interval(f, a,
b, tol, maxfun)
    116         """
    117         return -f(z)
--> 118     minval, x = find_minimum_on_interval(g, a=a, b=b, tol=tol,
maxfun=maxfun)
    119     return -minval, x
    120

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/numerical/optimize.py in find_minimum_on_interval(f, a,
b, tol, maxfun)
    158     a = float(a); b = float(b)
    159     import scipy.optimize
--> 160     xmin, fval, iter, funcalls = scipy.optimize.fminbound(f,
a, b, full_output=1, xtol=tol, maxfun=maxfun)
    161     return fval, xmin
    162

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/scipy/optimize/optimize.py in fminbound(func, x1, x2, args,
xtol, maxfun, full_output, disp)
   1307         si = numpy.sign(rat) + (rat == 0)
   1308         x = xf + si*max([abs(rat), tol1])
-> 1309         fu = func(x,*args)
   1310         num += 1
   1311         fmin_data = (num, x, fu)

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/numerical/optimize.py in g(z)
    115
    116         """
--> 117         return -f(z)
    118     minval, x = find_minimum_on_interval(g, a=a, b=b, tol=tol,
maxfun=maxfun)
    119     return -minval, x

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/calculus/calculus.py in __call__(self, *args, **kwargs)
   4607                             new_ops.append( op )
   4608                         else:
-> 4609                             new_ops.append( op(*[args[i] for i
in indices]) )
   4610                 except ValueError:
   4611                     new_ops.append( op )

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/calculus/calculus.py in __call__(self, *args, **kwargs)
   4613         #Check to see if all of the new_ops are symbolic
constants
   4614         #If so, then we should return a symbolic constant.
-> 4615         new_ops = map(SR, new_ops)
   4616         is_constant = all(map(lambda x: isinstance(x,
SymbolicConstant), new_ops))
   4617         if is_constant:

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/calculus/calculus.py in __call__(self, x)
    449                 msg, s, pos = err.args
    450                 raise TypeError, "%s: %s !!! %s" % (msg,
s[:pos], s[pos:])
--> 451         return self._coerce_impl(x)
    452
    453     def _coerce_impl(self, x):

/Users/sschym/Downloads/Free/sage-3.1.1/local/lib/python2.5/site-
packages/sage/calculus/calculus.py in _coerce_impl(self, x)
    501             return self(x._sage_())
    502         else:
--> 503             raise TypeError, "cannot coerce type '%s' into a
SymbolicExpression."%type(x)
    504
    505     def _repr_(self):

TypeError: cannot coerce type '<class
'sage.calculus.equations.SymbolicEquation'>' into a
SymbolicExpression.
sage:
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