can you teach me datastructure of c?
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To learn the data structures of C and / or C++ take a look at some of the tutorials below and elsewhere on the web.
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I can provide you complete programs of data structures (linked list, array handling, stacks, queues, tress, graphs, and other algorithms). for this you have to provide me your information and details for what purpose you have to use this? and what your are doing currently. you can communicate me on my email address. abhi_patni@yahoo.com.
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There are several levels of expertise in C programming.  I started with C and Assembly language so they're easier for me than VB.  There are several good beginners books for C. Check your local bookstore or do a YAHOO search for it. \n\nIf you have a Linux machine there is a free C compiler (GCC) available with most versions.
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There is a great book that may help you..\n\n"Data Structures and Algorithms in C++","Adam Drozdel"..\n\ncheck the website.\n:)
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These tutorials explain the C++ language from its basics up to the newest features of ANSI-C++, including basic concepts such as arrays or classes and advanced concepts such as polymorphism or templates. The tutorial is oriented in a practical way, with working example programs in all sections to start practicing each lesson right away.\n\nhttp://www.cplusplus.com/doc/tutorial/
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http://www.jkmicro.com/tutorials/cprogramming.html
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most the programming softwares has the option for that, just try to figure it o. I can't tell you cos i don't write c-programs
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the book published by Andrew S. Tanenbaum named: Computer Networks, Fourth Edition  contains in a very detailed level a C implementation of sliding windows operations.\n\nIn my opinion, the best available
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In computer science, a data structure is a way of storing data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow a more efficient algorithm to be used. The choice of the data structure often begins from the choice of an abstract data structure. A well-designed data structure allows a variety of critical operations to be performed, using as few resources, both execution time and memory space, as possible. Data structures are implemented using the data types, references and operations on them provided by a programming language.\n\nDifferent kinds of data structures are suited to different kinds of applications, and some are highly specialized to certain tasks. For example, B-trees are particularly well-suited for implementation of databases, while routing tables rely on networks of machines to function.\n\nIn the design of many types of programs, the choice of data structures is a primary design consideration, as experience in building large systems has shown that the difficulty of implementation and the quality and performance of the final result depends heavily on choosing the best data structure. After the data structures are chosen, the algorithms to be used often become relatively obvious. Sometimes things work in the opposite direction - data structures are chosen because certain key tasks have algorithms that work best with particular data structures. In either case, the choice of appropriate data structures is crucial.\n\nThis insight has given rise to many formalised design methods and programming languages in which data structures, rather than algorithms, are the key organising factor. Most languages feature some sort of module system, allowing data structures to be safely reused in different applications by hiding their verified implementation details behind controlled interfaces. Object-oriented programming languages such as C++ and Java in particular use classes for this purpose.\n\nSince data structures are so crucial to professional programs, many of them enjoy extensive support in standard libraries of modern programming languages and environments, such as C++'s Standard Template Library, the Java API, and the Microsoft .NET Framework.\n\nThe fundamental building blocks of most data structures are arrays, records, discriminated unions, and references. For example, the nullable reference, a reference which can be null, is a combination of references and discriminated unions, and the simplest linked data structure, the linked list, is built from records and nullable references.\n\nThere is some debate about whether data structures represent implementations or interfaces. How they are seen may be a matter of perspective. A data structure can be viewed as an interface between two functions or as an implementation of methods to access storage that is organized according to the associated data type.
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Another "answerer" correctly explained that you\ncould declare an array of pointers to a struct as:\n\n    struct foo *p[100];\n\nbut it might be useful for you to know about a\nutility that has been floating around the internet\nfor at least a couple of decades which tries to\n"translate" between a human readable syntax and\nC/C++ syntax for data declarations and casts.\nThe utility is "cdecl", and can easily be found\nwith google.\n\nAs an example, on this problem:\n\n$ cdecl\ncdecl> declare p as array 100 of pointer to struct foo\nstruct foo *p[100]\n\nWhat's interesting is that it can reverse the translation:\ncdecl\ncdecl> explain struct foo *p[100]\ndeclare p as array 100 of pointer to struct foo\n\nIt's not so exciting for something simple like this example,\nbut if you run across a declaration like:\n\nint *const*(**f)(int*,int*);\n\nyou can feed it to cdecl to get at least *some* idea of\nwhat it means:\n\ncdecl> explain int *const*(**f)(int*)\ndeclare f as pointer to pointer to function (pointer to int) returning pointer to const pointer to int\n\nSimilarly, it will generate "cast" syntax, ie:\n\ncdecl> cast p into pointer to pointer to function returning pointer to int\n(int *(**)())p
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http://babbage.cs.qc.edu/courses/cs341/IEEE-754references.html\n\nhelpful info\ncheck 3 links..make sure u also learn the calculations dont rely on calculators
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http://www.cprogramming.com/tutorial.html - is a good online resource\n\nhttp://www.developer.be/forums/index.cfm/fuseaction/dsp_threads/forumid/16.htm - a forum that has c/c++ developers ready and able to help out.\n\nAlso use the MSDN library to get a lot of information.\n\nI've always liked the "bible books" it covers a lot of great info from begginers to advance: \nISBN: 0764546546 \n\nAlso the complete refference books are garet as well:\nISBN: 0078824761
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the source code should be easy to work out and implement in C if you know the algorithm.\n\nfirst use the elementary transformations and equivalence of re and nfa to convert nfa. Then use the std techniques to convert the nfa to dfa.\n\nIf you use dynamically allocated nodes, it shouldn't be too difficult
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C program? Do you mean the C language, or the C Drive?
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Sure.  The developers just took the C language and incremented it!
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Briefly, it is about the same kind of difference as between chinese and korean...\nBoth use letters, and are understood by computers. But the syntax, lexic and vocabularies are different.\nHelps?\n\nBTW, one being "oops", and the other one not is really bull... Create a struct in "C", shove some pointers to functions into it, and enjoy your very own "object".\nNow, create another struct, with the previous one as the first field - and you have just discovered inheritance. Cast a pointer to the second one into a pointer to the first - and that is your polymorphism.\n\nAnother myth is that C++ is a "superset of C" or that you can compile a C program with a C++ compiler, or that C is "C++ without classes". This is not true. They look somewhat similar to a human eye, but formally are totally different laguages.\nYou could, probably, come up with some fairly simple C program, that can be compiled with C++, just like some Spanish words (and even sentenses) are also valid in French, but in general that is not true.\nFunction pointers are not compatible with void*, or with each other. Integers are not compatible with pointers, and are not assumed by default, you can't skip a type declaration etc, etc.\n\nAnd finally, no, "C" is not faster than "C++" on any sane system.
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Here's my 2-cent descrription of design patterns...\n\nWhen I was in college 20+ years ago, we learned procedural languages and we had to take data structures. Data structures are really techniques using, mostly pointers, to construct all kinds of useful structures, such as linked lists, stacks, queues, trees, lists, etc. While each of these structures have their own properties and behaviors, they are at their core just pointer manipulation - but in a very controlled manner.\n\nDesign patterns are the same kind of thing, except they are geared toward object oriented constructs. All of the 23 design patterns in GoF are built upon the same OO foundation principles such as interface definitions, delegation, etc.\n\nOnce you understand even a subset of them, your whole thinking about OO design and programming completely changes.\n\nI found the Gang of Four book very difficult to read to learn Design Patterns. Once I understood them, I read the book, and pick up more info.\n\nI felt the GoF left a lot of the details out, such as how to set up the pattern, how to clean it up, etc. I also didn't like their order of presentation. The patterns are grouped into 3 broad categories, and then within each group, presented in alphabetical order. Many of the patterns use other patterns internally, and the internal patterns are presented near the end of the book, because they have names like "template method." Some of the more "fuzzy" patterns are presented early because they have names like "abstract factory."\n\nWhile I recommend GoF, I also recommend using the internet. I really learned Design Patterns by googling for them. There's a TON of information out there, including university lecture notes.\n\nIf you want to focus upon a pattern, google its name as well to narrow your search.\n\nI used design patterns every day in my work. I used visitor for the first time recently. I wished I had understood it years ago.