what are the common usage of fortran i would also like some example of softwares using fortran?
151034
Fortran is short for formula translator.  It was a key scientific language in the sixties, seventies and eighties but is very rare today except in the nerdiest of scientific programming.  As the name suggests it was primarily used to pass data through very complex formulas.  It started out as a procedural language and like almost all other languages added object oriented elements over time.
4243
This engineering department site has several, including several versions of Maple:\nhttp://www.ncsu.edu/felder-public/tutorials.html
1187479
The first item listed at the search\n\nhttp://www.google.com/search?q=example+data+flow+design\n\nwas\n\nhttp://www.cems.uwe.ac.uk/~tdrewry/dfds.htm\n\nseemed like a decent starting point.
87377
I am not sure what you actually want to do. Do you want a package that does calculus? Then what is wrong with Mathematica? \n\nI have used several different computer algebraic manipulators, like MACSYMA and REDUCE and MUMATH and SMP and so on. There are some advantages and disadvantages to each. But Mathematica is not a bad choice and is well supported.
664134
1. um, everywhere? From a cash machine, to calculating how much chemicals to put to produce laundry detergent, to construction of buildings and bridges.\n2. The ever-increasing advances in computer technology has enabled many in science and engineering to apply numerical methods to simulate physical phenomena. Numerical methods are often divided into elementary ones such as finding the root of an equation, integrating a function or solving a linear system of equations to intensive ones like the finite element method. Intensive methods are often needed for the solution of practical problems and they often require the systematic application of a range of elementary methods, often thousands or millions of times over. In the development of numerical methods, simplifications need to be made to progress towards a solution: for example general functions may need to be approximated by polynomials and computers cannot generally represent numbers exactly anyway. As a result, numerical methods do not usually give the exact answer to a given problem, or they can only tend towards a solution getting closer and closer with each iteration. Numerical methods are generally only useful when they are implemented on computer using a computer programming language . \n\n3. Visit these sites:\nhttp://math.fullerton.edu/mathews/n2003/FixedPointMod.html\nhttp://en.wikipedia.org/wiki/Linear_interpolation\nhttp://mathworld.wolfram.com/NewtonsMethod.html\n\nHope that helps!!
776087
The computer makers get paid to put software on the new systems, you would think they would at least throw in a quick start guide.\n\nThe best way, is to Google the questioned software, get to their homepage an go from there. With any luck, there will be a PDF file you can store on your system for future use.
256487
in here www.thefreecountry.com/compilers/pascal.shtml
638739
This is generally used for answering or solving problems.\nFor example if you do something like:\n4sin^2(theta)-9cos^2(theta)=(2sin(theta)+3cos(theta))(2sin(theta)-3cos(theta)) \nYou may write "Using x^2-y^2=(x+y)(x-y)"\nHope this helps...
830521
Go to this link for Chemistry. You will find many choices:\nhttp://www.anachem.umu.se/cgi-bin/pointer.exe?Software\n\nFor calculus:\nhttp://www.google.com/search?hl=en&client=firefox-a&rls=org.mozilla:en-US:official&sa=X&oi=spell&resnum=0&ct=result&cd=1&q=computer+programs+for+calculus&spell=1\n\ncc
393592
What you would need is a disassembler for the specific processor that the software runs on. Even then, the disassembled executable will be difficult to follow, as many compilers create very bizarre executable code for perfectly sensible source code. It's only worth doing for small programs and only if it's the only way to get the assembly language source. There is no way to get back to the original C / C++ source, no matter what anybody may write.\n\nIf this request is for a large program (>2000 bytes) that runs on a PC, then forget it. It's only worth doing for embedded software, which is typically fairly small.
742648
#include<stdio.h>\n#include<conio.h>\nvoid main()\n{\nint n=5,i,j;\nclrscr();\nfor(i=1;i<=2*n-2;i++)\n{\nprintf(" ");\n}\nprintf("1&#92;n");\nfor(i=2;i<=n-1;i++)\n{\nfor(j = 1;j<=(n-i)*2;j++)\nprintf(" ");\nfor(j = i;j<=2*i-1;j++)\n{\nprintf("%d ",j);\n}\nfor(j = 2*i-2;j>=i;j--)\n{\nprintf("%d ",j);\n}\nprintf("&#92;n");\n}\nfor(i = n;i<=2*n-1;i++)\nprintf("%d ",i);\nfor(i = 2*n-2;i>=n;i--)\nprintf("%d ",i);\ngetch();\n}
344830
If, as I suspect, you are referring to zero generation languages; you will need to study the binary instructions and data formats for each processor that you will program for.  This is the original way that software was written.  It is hand entered in binary, octal or hexadecimal format and saved as a file.  This is ever so inefficient and time consuming.  First generation language, assembly, is far more efficient and can do everything that zero (somtimes called first) generation programming can.  Later, higher level languages were developed such as COBOL and C, C++ Java and Forth.  I recommend learning any and all you can, but there is no need trying to dive into really low level languages such as machine code or assembly first.  Learn with something such as Python, Java or even C first, then branch to as many as you want up and down the scale.  Good luck.
12313
Assembler.  It is compiled into machine language.\n\nJust don't produce inefficient code with it.
329119
Try Planet Source Code. There's lots of sample code in various languages...\n\nhttp://www.planetsourcecode.com
440580
Software programming.
243412
Depending on the language you feel most comfortable with.\nFor Fortran, C, C++ I suggest GNU tools.\nJava you can download from Sun for free.\nAs IDE eclipse is available for free and you can plug in most commonly used compilers, many of these as well available without charge.
371708
Check out http://www.planet-source-code.com and do a search there.  Anything you find there would be in source code form, so you would have to compile it on your own machine.