Fortran was introduced in 1957 and remains the language of choice for most scientific programming. Some of the most important features of Fortran 90 include recursive subroutines, dynamic storage allocation and pointers, user defined data structures, modules, and the ability to manipulate entire arrays.
Fortran 90 is compatible with Fortran 77 and includes syntax that is no longer desirable. F is a subset of Fortran 90 that includes only its modern features and is compact and easy to learn.
|1. Introduction||2. Do construct||3. If construct||4. Subprograms|
|5. Formatted output||6. Files||7. Arrays||8. Allocate|
|9. Random number sequences||10. Recursion||11. Character variables||12. Complex variables|
|13. References and links|
The simplest way to use the F subset of Fortran is to use the option -std=F with the g95 compiler: g95 -std=F ProductExample.f95
The features of F in Program ProductExample include the following:program ProductExample real :: m, a, force m = 2.0 ! mass in kilograms a = 4.0 ! acceleration in mks units force = m*a ! force in newtons print *, force end program ProductExample
We next introduce syntax that allows the user to enter the desired values of m and a from the keyboard. Note the use of the (unformatted) read statement and how character strings are printed.
program ReadInput real :: m, a, force ! SI units print *, "mass m = ?" read *, m print *, "acceleration a = ?" read *, a force = m*a print *, "force (in newtons) =", force end program ReadInput
Note that n is an integer variable. In this example the do statement specifies the first and last values of n; n increases by unity (default). The block of statements inside a loop is indented for clarity.program Series real :: sumOfSeries ! sum is a keyword integer :: n sumOfSeries = 0.0 ! add first 100 terms do n = 1, 100 sumOfSeries = sumOfSeries + 1.0/real(n)**2 ! real is example of intrinsic funcion print *, n,sumOfSeries end do end program Series
Because the product n*n is done using integer arithmetic, it is better to convert n to a real variable before the multiplication is done. Exponentiation is done using the operator **.
The features included in program SeriesTest include:program SeriesTest ! illustrate use of do construct integer :: n ! choose large value for relative change real :: sumOfSeries, newterm, relativeChange n = 0 sumOfSeries = 0.0 do n = n + 1 newterm = 1.0/(n*n) sumOfSeries = sumOfSeries + newterm relativeChange = newterm/sumOfSeries if (relativeChange < 0.0001) then exit end if print *, n, relativeChange, sumOfSeries end do end program SeriesTest
|less than or equal||<=|
|greater than or equal||>=|
The following program illustrates the use of the kind parameter and a named do construct:
program SeriesDouble ! illustrate use of kind parameter and named do loop integer, parameter :: double = 8 ! use for double precision integer :: n real (kind = double) :: sumOfSeries, newterm, relativeChange n = 0 sumOfSeries = 0.0 printChange: do n = n + 1 newterm = 1.0/real(n, kind = double)**2 sumOfSeries = sumOfSeries + newterm relativeChange = newterm/sumOfSeries if (relativeChange < 0.0001) then exit printChange end if print *, n,relativeChange,sumOfSeries end do printChange end program SeriesDouble
A more general use of the parameter statement is given in Program drag.
Subprograms are called from the main program or other subprograms. As an example, the following program adds and multiplies two numbers that are inputed from the keyboard. The variables x and y are public and are available to the main program.
module common public :: initial, add, multiply ! subroutines integer, parameter, public :: double = 8 real (kind = double), public :: x,y contains subroutine initial() print *, "x = ?" read *,x print *, "y = ?" read *,y end subroutine initial subroutine add(sum2) real (kind = double), intent (in out) :: sum2 sum2 = x + y end subroutine add subroutine multiply(product2) real (kind = double), intent (in out) :: product2 product2 = x*y end subroutine multiply end module common program tasks ! illustrate use of module and subroutines ! note how variables are passed use common real (kind = double) :: sum2, product2 call initial() ! initialize variables call add(sum2) ! add two variables call multiply(product2) print *, "sum =", sum2, "product =", product2 end program tasks
The structure of Program cool is similar to Program tasks. Note the use of the modulo function and the use of format specifications. We have used a format specification, which is a list of edit descriptors. An example from Program cool is
The t (tab) edit descriptor is used to skip to a specified position on an output line. The edit descriptor a (alphanumeric) is for character strings. An example of the f (floating point) descriptor is given byprint "(t7,a,t16,a,t28,a)", "time","T_coffee","T_coffee - T_room"
The edit descriptor f13.4 means that a total of thirteen positions are reserved for printing a real value rounded to 4 places after the decimal point. (The decimal point and a minus sign occupy two of the thirteen positions.) The edit descriptor 2f13.4 means that the edit descriptor f13.4 is used twice. Another common edit descriptor is i (integer).print "(f10.2,2f13.4)",t,T_coffee,T_coffee - T_room
Comment on Program drag
The only new syntax in Program drag is the use of the parameter statement:
A parameter is a named constant. The value of a parameter is fixed by its declaration and cannot be changed during the execution of a program.real (kind = double), public, parameter :: g = 9.8
Program saveData illustrates how to open a new file, write data in a file, close a file, and read data from an existing file.
program saveData ! illustrate writing and reading file integer :: i,j,x character(len = 32) :: file_name print *, "name of file?" read *, file_name open (unit=5,file=file_name,action="write",status="new") do i = 1,4 x = i*i write (unit=5,fmt=*) i,x end do close(unit=5) ! open(unit=1,file=file_name,action="read",status="old") open(unit=1,file=file_name,position="rewind",action="read",status="old") do i = 1,4 read (unit=1,fmt = *) j,x print *, j,x end do close(unit=1) end program saveData
Input/output statements refer to a particular file by specifying its unit. The read and write statements do not refer to a file directly, but refer to a file number which must be connected to a file. There are many variations on the open statement, but the above example is typical. The values of the action specifier are read, write, and readwrite (default). Values for status are old, new, replace, or scratch.
If you plan to reuse data on the same system with the same compiler, you can use unformatted input/output to save the overhead, extra space, and the roundoff error associated with the conversion of the internal representation of a value to its external representation. Of course, the latter is machine and compiler dependent. Unformatted access is very useful when data is generated by one program and then analyzed by a separate program on the same computer. To generate unformatted files, omit the format specification. Examples of programs which use direct access and records are available.
The definition and use of arrays is illustrated in Program vector.
The main features of arrays include:module common public :: initial,cross contains subroutine initial(a,b) real, dimension (:), intent(out) :: a,b a(1:3) = (/ 2.0, -3.0, -4.0 /) b(1:3) = (/ 6.0, 5.0, 1.0 /) end subroutine initial subroutine cross(r,s) real, dimension (:), intent(in) :: r,s real, dimension (3) :: cross_product ! note use of dummy variables integer :: component,i,j do component = 1,3 i = modulo(component,3) + 1 j = modulo(i,3) + 1 cross_product(component) = r(i)*s(j) - s(i)*r(j) end do print *, "" ! skip line print *, "three components of the vector product:" print "(a,t10,a,t16,a)", "x","y","z" print *, cross_product end subroutine cross end module common program vector ! illustrate use of arrays use common real, dimension (3) :: a,b real :: dot call initial(a,b) dot = dot_product(a,b) print *, "dot product = ", dot call cross(a,b) end program vector
An array is declared in the declaration section of a program, module, or procedure using the dimension attribute. Examples include
real, dimension (10) :: x,y
integer, dimension (-10:10) :: prob
integer, dimension (10,10) :: spin ! example of two-dimensional array
is equivalent to the separate assignmentsa(1:3) = (/ 2.0, -3.0, -4.0 /)
a(1) = 2.0 a(2) = -3.0 a(3) = -4.0
print *, cross_product
Fortran 90 has many vector and matrix multiplication functions. For example, the function dot_function operates on two vectors and returns their scalar product. Some useful array reduction functions are maxval, minval, product, and sum.
The size of an array can be changed during the execution of the program. The use of the allocate and deallocate statements are illustrated in the following. Note the use of the implied do loop.
An example of passing arrays:program dynamicArray ! example of dynamic arrays real, dimension (:), allocatable :: x integer :: i, N N = 2 allocate(x(N:2*N)) ! implied do loop x(N:2*N) = (/ (i*i, i = N, 2*N) /) print *, x deallocate(x) allocate(x(N:3*N)) x = (/ (i*i, i = N, 3*N) /) print *, x end program dynamicArray
module param integer, public, parameter :: double = 8 end module param module common use param private public :: initial integer, public :: N contains subroutine initial(x) real (kind = double), intent(inout), dimension(:) :: x N = 100 x(1) = 1.0 end subroutine initial end module common program test use param use common real (kind = double), allocatable,dimension (:) :: x N = 10 allocate(x(N)) call initial(x) end program test
A convenient intrinsic procedure is subroutine random_number. Although it is a good idea to write your own random number generator using an algorithm that you have tested on a particular problem of interest, it is convenient to use subroutine random_number when you are debugging your program or if accuracy is not important. The following program illustrates several uses of subroutine random_number and random_seed. Note that the argument rnd of random_number must be real, has intent out, and can be either a scalar or an array.
Note how subroutine random_seed is used to specify the seed. This specification is useful when the same random number sequence is used to test a program.program randomExample real :: rnd real, dimension (:), allocatable :: x integer, dimension (:), allocatable:: seed, seed_present integer :: L, i, m, nmin, nmax, randomInteger ! generate random integers between nmin and nmax ! dimension of seed is one in F and two in Fortran 90 call random_seed() ! initialize random number generator call random_number(rnd) ! generate random number print *, "random number = ", rnd call random_seed(size=m) ! random_seed in gfortran requires m integers to start print *,"# seeds needed = ", m allocate(seed(m)) ! put is integer vector that puts the desired seeds into random number generator do i = 1,m seed(i) = 12345 + i end do call random_seed(put=seed) ! assign seeds ! get is integer vector which reads present seeds allocate(seed_present(m)) call random_seed(get=seed_present) ! confirm seeds print *, "seeds = ", seed_present call random_number(rnd) call random_seed(get=seed_present) print *, "new seeds = ", seed_present ! confirm value of new seed ! generate L random integers between nmin and nmax L = 10 ! length of sequence nmin = 5 nmax = 15 do i = 1, L call random_number(rnd) randomInteger = (nmax - nmin + 1)*rnd + nmin print *, "random integer = ", randomInteger end do allocate(x(L)) ! assign random numbers to array x call random_number(x) print "(4f13.6)", x call random_seed(get=seed_present) ! find new seed so can start program from where the program stopped print *, "new seed = ", seed_present end program randomExample
A simple example of a recursive definition is the factorial function:
factorial(n) = n! = n(n-1)(n-2) ... 1A recursive definition of the factorial is
factorial(1) = 1 factorial(n) = n factorial(n-1)
A program that closely parallels the above definition follows. Note how the word recursive is used.
module fact public :: f contains recursive function f(n) result (factorial_result) integer, intent (in) :: n integer :: factorial_result if (n <= 1) then factorial_result = 1 else factorial_result = n*f(n-1) end if end function f end module fact program test_factorial use fact integer :: n print *, "integer n?" read *, n print "(i4, a, i10)", n, "! = ", f(n) end program test_factorial
A more detailed example (taken from pp. 98-99 in The Fun of Computing,John G. Kemeny, True BASIC (1990)) is given two integers, n and m, what is their greatest common divisor, that is, the largest integer that divides both? For example, if n = 1000 and m = 32, than the greatest common divisor (gcd) is gcd = 8.
One method for finding gcd is to integer divide n by m. We write n = q m + r, where q is the quotient and r is the remainder. If r = 0, then m divides n and m is the gcd. Otherwise, any divisor of m and r also divides n, and hence gcd(n,m) = gcd(m,r). Because r < m, we have made progress. As an example, take n = 1024 and m = 24. Then q = 42 and r = 16. So we want gcd(24,16). Now q = 1 and r = 8 and we calculate gcd(16,8). Finally q = 2, and r = 0 so gcd = 8. The following program implements this idea.
module gcd_def public :: gcd contains recursive function gcd(n,m) result (gcd_result) integer, intent (in) :: n,m integer :: gcd_result integer :: remainder remainder = modulo(n,m) if (remainder == 0) then gcd_result = m else gcd_result = gcd(m,remainder) end if end function gcd end module gcd_def program greatest use gcd_def integer :: n,m print *, "enter two integers n, m" read *, n,m print "(a,i6,a,i6,a ,i6)", "gcd of",n," and",m,"=",gcd(n,m) end program greatest
The volume of a d-dimensional hypersphere of unit radius can be related to the area of a (d - 1)-dimensional hypersphere. The following program uses a recursive subroutine to integrate numerically a d-dimensional hypersphere:
module common public :: initialize,integrate integer, parameter, public :: double = 8 real (kind = double), parameter, public :: zero = 0.0 real (kind = double), public :: h, volume integer, public :: d contains subroutine initialize() print *, "dimension d?" read *, d ! spatial dimension print *, "integration interval h?" read *, h volume = 0.0 end subroutine initialize recursive subroutine integrate(lower_r2, remaining_d) ! lower_r2 is contribution to r^2 from lower dimensions real(kind = double),intent (in) :: lower_r2 integer, intent (in) :: remaining_d ! # dimensions to integrate real (kind = double) :: x x = 0.5*h ! mid-point approximation if (remaining_d > 1) then lower_d: do call integrate(lower_r2 + x**2, remaining_d - 1) x = x + h if (x > 1) then exit lower_d end if end do lower_d else last_d: do if (x**2 + lower_r2 <= 1) then volume = volume + h**(d - 1)*(1 - lower_r2 - x**2)**0.5 end if x = x + h if (x > 1) then exit last_d end if end do last_d end if end subroutine integrate end module common program hypersphere ! original program by Jon Goldstein use common call initialize() call integrate(zero, d - 1) volume = (2**d)*volume ! only consider positive octant print *, volume end program hypersphere
The only intrinsic operator for character expressions is the concatenation operator //. For example, the concatenation of the character constants string and beans is written as
"string"//"beans"The result, stringbeans, may be assigned to a character variable.
A useful example of concatenation is given in the following:
Note the use of the write statement to build a character string for numeric and character components.program write_files ! open n files and write data integer :: i,n character(len = 15) :: file_name n = 11 do i = 1,n ! assign number.dat to file_name using write statement write(unit=file_name,fmt="(i2.2,a)") i,".dat" ! // is concatenation operator file_name = "config"//file_name open (unit=1,file=file_name,action="write",status="replace") write (unit=1, fmt=*) i*i,file_name close(unit=1) end do end program write_files
Fortran 90 is well suited for treating complex variables. The following program illustrates the way complex variables are defined and used.
program complexExample integer, parameter :: double = 8 real (kind = double), parameter :: pi = 3.141592654 complex (kind = double) :: b,bstar,f,arg real (kind = double) :: c complex :: a integer :: d ! A complex constant is written as two real numbers, separated by ! a comma and enclosed in parentheses. a = (2,-3) ! Both components must have same kind b = (0.5_double,0.8_double) print *, "a =", a ! note that a has less precision than b print *, "a*a =", a*a print *, "b =", b print *, "a*b =", a*b c = real(b) ! real part of b print *, "real part of b =", c c = aimag(b) ! imaginary part of b print *, "imaginary part of b =", c d = int(a) print *, "real part of a (converted to integer) =", d arg = cmplx(0.0,pi) b = exp(arg) ! done in two lines for ease of reading only bstar = conjg(b) ! complex conjugate of b f = abs(b) ! absolute value of b print *, "properties of b =", b,bstar,b*bstar,f end program complexExample
Walter S. Brainerd, Charles H. Goldberg, and Jeanne C. Adams, Programmer's Guide to F, Unicomp (1996).
Michael Metcalf and John Reid, The F Programming Language, Oxford University Press (1996).
Program save_data was modified by Ty Faechner, 18 June 2003.
Please send comments and corrections to Harvey Gould, firstname.lastname@example.org.Updated 12 March 2013
© 2013 Harvey Gould.