Q6 : Explain all of the differences between Ada’s subtypes and derived
types.
A : Ada’s
subtype is compatible with its base type, so you can mix operands of the base
type with operands of the base type. While Ada’s derived type is a completely
separate type that has the same characteristics as its base type. We can’t mix
operands of a derived type with operands of the base type.
Q7 : What significant justification is there for the -> operator in C
and C++?
A : The
only justification for the -> operator in C and C++ is writability. It is
slightly easier to write p -> q than (*p).q.
Q8 : What are all of the differences between the enumeration types of C++
and those of Java?
A : In
C++, an enumeration is just a set of named, integral constants. Also, C++ will
implicitly convert enum values to their integral equivalent. In Java, an
enumeration is more like a named instance of a class. You have the ability to
customize the members available on the enumeration. Java will explicitly
convert enum values to their integral equivalent.
Q9 : The unions in C and C++ are separate from the records of those languages,
rather than combined as they are in Ada. What are the advantages and
disadvantages to these two choices?
A :
Advantage:
*Unconstrained variant records in Ada allow the values
of their variants to change types
during execution.
Disadvantage:
*The type of the variant can be changed only
by assigning the entire record, including the discriminant. This
disallows inconsistent records because if the newly assigned record is a
constant data aggregate, the value of the tag and the type of the variant
can be statically checked for consistency.
Q10 : Multidimensional arrays can be stored in row major order, as in C++,
or in column major order, as in Fortran. Develop the access functions for both
of these arrangements for three-dimensional arrays.
A :
Let the subscript ranges of the three dimensions be
named min(1), min(2), min(3), max(1), max(2), and max(3). Let the sizes of the
subscript ranges be size(1), size(2), and size(3). Assume the element size is
1.
Row Major Order:
location(a[i,j,k]) = (address of
a[min(1),min(2),min(3)]) + ((i-min(1))*size(3) + (j-min(2)))*size(2) +
(k-min(3))
Column Major Order:
location(a[i,j,k]) = (address of
a[min(1),min(2),min(3)]) + ((k-min(3))*size(1) + (j-min(2)))*size(2) +
(i-min(1))