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A must read coming directly from my 10+ years of java experience. A sample declaration for different variable types is given. I believe the above is straight forward, and doesn't. Variable 't' is declared as boolean type. Primitive types in Java means that you don't have to create them, they're already. NEUE VERSION DES VIDEOS: https://goo.gl/7euqlz Abonnieren f An Introduction to the Java Programming Language History of Java In 1991, a group of Sun Microsystems engineers led by James Gosling decided to. How To Download and Install Java JDK on Windows 10 Link http:// is a tutorial on how to download and install Java JDK on Windows 10 plus. For. example, an int type, can be stored in a 3. Java is a very Object Oriented language, and everything in. An object is an instance of a class. Your Java programs consist of. An example of a simple class would be: public class p. Simple. Object. We later say that. Simple. Object. It is called. The set() and get(). One useful terminology. So, to. refer to function set(), you'd say ! The second approach illustrates that it all can be done in one line. The object. does not get created when you just declare it, it's only created when you do a new. First, you declare it, and then you allocate a new object to that pointer. The. only limitation seems to be that you can't do math on these pointers, other than that. C/C++ pointers. Like the ability to work with hundreds or maybe. And here's where our next section starts, the. Arrays! Arrays have a set limit on their size, they can't grow beyond that limit. Arrays. usually tend to be easier to work with and generally more efficient than other structural. You can always resort to having 1. Instead, you can use the clean notation of an array to create, and later manipulate. For example, to create an array to hold 1. The. second example shows that it can all be one in one line. And the third example shows that. Java holds the backwards compatibility with C++, where the array declaration is: int. Array. To us, these notations are. I do however prefer to use the Java one. Similarly, we can set an. For example, to set the 5. Array. The best. and most convenient way to manipulate arrays is using loops. For example, lets say we. This can be done very easily using two. Here, we have the length variable in every array, and we can check it's. So to print out any array named: my. Array, we'd do. something like: for(int i = 0; i< my. Array. length; i++). System. out. println(my. Array. They can't grow or shrink according to need. If you have an array. Similarly, if you have. As an example, take the java. Vector. class (JDK 1. The way it does it. It can be quite fast for small sizes, but. Later, we will look at other data structures where we won't be overly concerned with. Sometimes, however, we'd like to have more than just a plain vanilla. A stack is a FILO (First In, Last Out), structure. For now, we'll. just deal with the array representation of the stack. Knowing that we'll be using an. We can't insert or remove elements into or from the middle of the stack. As I've. mentioned before, everything in Java is an object, (since it's an Object Oriented. Array. Stack. Int. The. constructor named p. Array. Stack. Int() accepts an integer. That integer is to. If you later try to push() more. Nothing is complete without. Array. Stack. Int. Array. Stack. Int. Test. Writing to standard output exactly. The output gotten from this program is: starting.. A perfect example of a FILO structure. The output also. assures us that the stack is working properly. The data is int type (for simplicity). There is a. head data member, that's the actual array. Because we're using an array, with limited. It always has the position which had the. The rest of the functions. Notice that pointer is initialized to - 1, this makes the. The return type is boolean. First, it checks to see if the next insertion will not overflow the. If no danger from overflow, then it inserts. It first increments the pointer and. It. could easily be modified to actually make the array grow, but then the whole point of. First, it checks to see if stack is not empty, if it is empty, it will return 0. You may. want to do something more sensible than simply returning a 0 (an exception throw would not. I did it this way for the sake of simplicity. Then, it returns the value. This. way, it is ready for the next push or pop. Stack is very. simple and is very basic. There are tons of useful algorithms which take advantage of this. FILO structure. Now, lets look at alternative implementations.. It is too much. trouble. The trick I'll illustrate next is what makes Java my favorite Object Oriented. In C++, we also have the void*. Templates is a C++ way to make generic. This makes quite a lot of sense for a. In Java, every object is a descendent of the Object. So, we can just use the Object class in all of our structures, and. Next, we'll write an example that uses this. Array. Stack. Object. The new test module will. Integer objects (not int; not primitive. Array. Stack. Object. Array. Stack. Object. Test. Notice that here, we're not inserting elements of int type, we're. Integer type. This means, that we can insert. Object. starting.. The main idea you should. FILO data structure. After this section, non. Although that is true, the queue. It also involves pointers to specific. We'll determine when the queue is empty if start. To determine if the queue is full (since. To. insert, we'll add one to the start, and mod (the % operator). To remove, we'll add one to the end, and mod (the. Well, lets write it. Array. Queue. In it, we have four. The constructor p. Array. Queue(int maxsize) initializes the queue. The is. Empty() method is. The. insert works by adding one to start, and doing a mod with array. We later check to see if this insertion caused the queue to become full, if yes. It first checks to see if the. If it's not full. Empty(). If it is, the method. This is usually a. The method continues by removing the end object from the queue. The removal is. done in the same way insertion was done. By adding one to the end, and later. The reason. it's like this is because it's pretty easy to think of it. Upon insertion, you add one to start. I've modified that pretty cool test driver from the stack example, and got it. Array. Queue. class p. Array. Queue. Test. The output from the program. It's almost completely different. I guess that's it for this array implementation. FIFO data structure. And now, onto something more complex.. Most. people prefer to implement a list as a linked list (and I'll show how to do that later). A list has. no particular structure; it just has to allow for the insertion and removal of objects. Preferably, a list should also. Well, lets not just talk about a list, but write. Array. List. The number is. The start is the starting pointer. The insert() method works exactly the same way as an. It just increments the start pointer, does a mod. It then inserts the. The next trick is to decrement the end. First, it checks to see if there are elements to remove, if not. Object). It then decrements number. We then create a. After. that, we update the start pointer by first decrementing it, adding array. This gives the appearance of. We later return the position inside the. It checks to see if there are elements to remove by. Empty() method, if there aren't, it returns null. It. then handles the number (number of elements) business, and proceeds with. It first increments the end pointer. It accepts an integer, and we need to return the number which this. This would be no problem if we were using an array. We start this by. What we do next is add 'n' (the requesting. To. write the test driver, I've converted that really cool Queue test driver, and added some. Well, here it is: import java. Array. List. class p. Array. List. Test. It then prints out the. It then. continues with the removal (from front) of five numbers, and later removing the rest (also. At the end, the program prints . I. suggest you examine it thoroughly, and make sure you understand what's going on inside. There are however public tools available to simplify your life. Some are good. some are bad, but one that definitely deserves to have a look at is the java. Vector. class; and that's what the next section is about! The information provided here is as far as JDK 1. A vector, is a. growing array; as more and more elements are added onto it, the array grows. There is also. a possibility of making the array smaller. The java. util. Vector. When it needs to do these operations, it simply. Thus, giving the impression that the array has changed size. Since a Vector has a similar. Vector is to do stack operations. Usually, in programs, we need a. Vector comes in very useful. It is very useful to. A sample program that uses java. Vector for it's. storage follows. Vector. Test. The main key. Removal can be accomplished very easily, and if you'll be doing anything cool with. API specs. We could also have. At(int) every time through the loop. The output from the. The size is the current number. Vector, and the capacity, is the maximum. Constructs like that. Just try inserting. Vector into a Vector ; -) I guess that covers the Vector class. I also. greatly encourage you to look at java. Vector source, and see for. Instead of storing data in it's raw format, Node based data. Think of nodes as being elements. Many. people think that there are no pointers in Java, but just because you don't see them. In fact, you can treat any object as a pointer. Those other nodes which are referenced to, are. The node itself is called the parent node (or sometimes a. The node we'll create will be a one child node (it will have only one. The two data members are the data. The data member holds the data of the node, and next. Notice that next is of the same type as. If an object wants to be printed in a special way, it. In our case, we. just want to print the data. Adding data to a bunch of quotation. String (hopefully, our data will also. String() method defined on it). Without this method, we get the. Many programs rely on linked lists for. For example, the array. This means there is. So, the entire list can be referenced from that one node. That. first node is usually referred to as the head of the list. The last node in the chain of. That feature, most. In it, node. 0 is the head node, and node. Well, now that you know how. There. are two data members, one named head, and the other named number. Number is primarily used for the size() method. The constructor. p. Linked. List() is self explanatory. The size() and is. Empty(). methods are also pretty easy. Method insert(Object) creates a new p. One. Child. Node. It then sets the head to that new node. If you. think about it, you'll notice that the head is still saved, and the new node. It first checks to see if the. Empty() or not, if it is, it returns a null. It then. saves the current head node, and then changes it to accommodate the removal. We first check to see if the list is is. Empty(). if it is, we do a regular insertion (since it really doesn't matter which direction we're. We then setup a loop to search for the. The end is symbolized by the next pointer of the node being null. It also goes through the whole. At the beginning, we check if the list is not is. Empty(). if it is, we return a null. We then check to see if there is only one element. We. then setup a loop to look for the node who's child is the last node. It is important to. When we find it, we get the data, setup necessary links. If. it reaches the end, it should return a null, if not, it should return the. The ideas could be fine, and logical, but if it doesn't work, it doesn't. So, lets convert our p. Array. List. Test driver to accommodate this class. Linked. List. class p. Linked. List. Test. Linked lists are one of the most important data structures you'll. Don't forget that you can always. One exercise I'd like to leave up to the reader is to create a circular list. Sometimes, lists are also implemented using two pointers; and. You can even make it. This will. eliminate most special cases, making it faster on insertions and deletions. This section will show you how you can convert some data. It has to be able to push and pop items of from one end. What structure do we know. Lets write a list implementation of a stack. Linked. List. public class p. Easy. Stack? It may not be the best implementation, and it's certainly not the fastest. Test for the stack follows: import java. Easy. Stack. class p. Easy. Stack. Test. For the completion, I'll. What. about other data structures? Well, we can just as easily implement a queue. One thing. though, now instead of just inserting and removing, we'll be removing from the end (the. Linked. List. public class p. Easy. Queue? Well, the test driver is also easy. Easy. Queue. class p. Easy. Queue. Test! Definitely, if you have time. For the. sake of completeness, the output of the above program follows: starting.. And remember, you. Java API. The reuse can be of many forms. You can reuse it. I've shown in this section, or you can extend that particular class to provide the. They are called that, because if you try to visualize the structure. Trees are node based data. You already know. Tree Nodes have two or more child. For example, if a tree node has two children, it is called a binary tree. If. it has three children, it is called tertiary tree. If it has four children, it is called a. Fortunately, to simplify things, we only need binary trees. With. binary trees, we can simulate any tree; so the need for other types of trees only becomes. It's not going to be much different from our p. One. Child. Node. If a node has no children. If a node has no parent (it's the father of every node), it is. This weird terminology comes from the tree analogy, and from. The next section will talk about a generic binary tree which will be later. One thing that. almost never changes though is the general layout of a binary tree. We will first. implement that general layout as an abstract class (a class that can't be used directly). The most basic ones are the traversal algorithms. Traversals algorithms are. For. example, an in- order traversal first looks at the left child, then the data, and then the. A pre- order traversal, first looks at the data, then the left child, and then. Different traversal types mean different things for different. For example, if it's binary search tree (I'll show how to. The code that follows creates an abstract Generic Binary. Tree. import p. Two. Child. Node. public abstract class p. Generic. Binary. Tree. The p. Generic. Binary. Tree. is a fairly large class, with a fair amount of methods. Lets start with the one and only. In this abstract class, root. Actually, all we need is root. Since we'd like. to have access to root from other places though (from derived classes, but. Then we have a standard is. Empty(). method to find out if the tree is empty. You'll also notice that implementing a counter. This may not be particularly useful to us right now, but. The trick about. trees are that they can be traversed in many different ways, and these print methods print. All of these are useful, depending on what. Sometimes, some of them make absolutely no. A recursive function is a function that calls itself (kind of like pretrav(). It's not important for you to understand why we. In Java, we can only compare variables of native. These include all but the objects (ex: int, float, double. To compare Objects, we have to make objects with certain properties; properties. In our case, we'll call the interfacep. Comparable. Interfaces are easy to write, since they're kind of like abstract. Comparable. Now, the trick is to implement it. You might be saying, why am I. For example, if. we'd like to use integers in our binary search tree, we'll have to design our own integer. Comparable interface. I couldn't just extend. Integer, since it's final (cannot be extended). Integer implements p. Comparable. In the method, we. Integer, and later using. Integer. and return an appropriate result. There is a Comparable interface, and it's already implemented. Integer, java. lang. String, and other. I'm doing it this way only for compatibility. JDK. I'll talk about JDK 1. A binary tree we'll be designing in this section will be what's known as binary. The reason it's called this is that it can be used to sort numbers (or. Remember how. I've said that traversals only make sense in some specific context, well, in binary search. Although I'll show all traversals just for the fun of it. One that we definitely need is the insert(). Well. instead of just talking about it, lets write the source! Comparable. public class p. Binary. Search. Tree extends p. Generic. Binary. Tree? The method starts out by declaring two. It then falls into a for. The condition inside the for loop is that 't' does not. Root(), which. effectively returns the value of root), and while the object we're trying to insert. Inside the for. loop, we set 'q' to the value of the next node to be examined. We do this by. first comparing the data we're inserting with the data in the current node, if it's. If 't' is not null. We then check. to see if the tree is empty (didn't have a root), if it didn't, we create a newroot by calling set. Root() with a newly created node holding the. So, if you miss out on the main point. I suggest you read it again, or get a more formal reference (where I doubt you'll. Below, I give you the test module for the. Integer. import p. Binary. Search. Tree. Binary. Search. Tree. Test. It first inserts ten p. Integer (p. Comparable). These different. orders print out the whole tree. Since we know it's a binary search tree, the in- order. So, lets take a look at the output! Numbers inserted. Well, our prediction is confirmed! The in- order. traversal did produce sorted results. There is really nothing more I can say about this. This is definitely not the. I want to make sure you really understand. Tree's are created for the sole purpose of. There are two major traversal algorithms, the depth- first, and. The. reason it's named depth- first, is because we eventually end up going to the deepest node. Tracing a traversal surely helps; and you can trace that. Lets say you were given a tree to read (sorry, don't have a non- copyrighted. I can include), you'd surely read it top to bottom, left to right (just like a. With the root. node on top, and all the rest extending downward. What Breadth- First allows us to. It will visit each node at a. Like the search tree for a Chess game. In chess, the tree can be very deep. Depth- First traversal (search) would be costly, if not impossible. With. Breadth- First as applied in Chess, the program only looks at several moves. Because the standard consul does not. I will show. how it's done. An extended p. Binary. Search. Tree. is shown below: import p. Two. Child. Node. Binary. Search. Tree. Easy. Queue. public class p. Breadth. First. Traversal extends p. Binary. Search. Tree. In this demo, we're also using p. Easy. Queue, developed earlier in. Since breadth first traversal is not like depth first, we can't use. Any recursive method can be easily. 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