data-structures-and-algorithms | Data Structures & Algorithms in Java Sixth | Learning library

 by   rogeriogentil Java Version: Current License: GPL-3.0

kandi X-RAY | data-structures-and-algorithms Summary

kandi X-RAY | data-structures-and-algorithms Summary

data-structures-and-algorithms is a Java library typically used in Tutorial, Learning, Example Codes applications. data-structures-and-algorithms has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Codes and resolutions of the exercises of Goodrich, Tamassia & Goldwasser's Data Structures & Algorithms in Java Sixth Edition Book (2014).

            kandi-support Support

              data-structures-and-algorithms has a low active ecosystem.
              It has 29 star(s) with 23 fork(s). There are 3 watchers for this library.
              It had no major release in the last 6 months.
              data-structures-and-algorithms has no issues reported. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of data-structures-and-algorithms is current.

            kandi-Quality Quality

              data-structures-and-algorithms has no bugs reported.

            kandi-Security Security

              data-structures-and-algorithms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              data-structures-and-algorithms is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              data-structures-and-algorithms releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed data-structures-and-algorithms and discovered the below as its top functions. This is intended to give you an instant insight into data-structures-and-algorithms implemented functionality, and help decide if they suit your requirements.
            • Test program
            • Returns the number of vowels in a string
            • Returns the sum of all positive integers
            • Returns the sum of odd numbers
            • Prints the creations
            • Returns the smallest element in an array
            • Reverse the elements of an array
            • Main method
            • Print summary information for a credit card
            • Performs a breadth - first breadth - first search
            • Constructs a path from a graph
            • Associates the given value with the given key
            • Reverse the array
            • Inserts a sort position in the list
            • Checks if the given expression is matched
            • Removes the entry with the specified key
            • Gets the positions of the tree in breadth - first order
            • Adds the element at the end of the list
            • Inserts a new entry into the map
            • Inserts an edge into the graph
            • Sorts the given sequence using priority queue
            • The main method for testing
            • Prints a pseudo random number generator
            • Attaches trees to the given position
            • Merges the contents of an array in ascending order
            • Associates the given value with the given key under the given key
            Get all kandi verified functions for this library.

            data-structures-and-algorithms Key Features

            No Key Features are available at this moment for data-structures-and-algorithms.

            data-structures-and-algorithms Examples and Code Snippets

            No Code Snippets are available at this moment for data-structures-and-algorithms.

            Community Discussions


            Get the mininum value from a hash table and assign its key to an object
            Asked 2021-May-06 at 07:22

            this is a very small piece of code taken from this book about the Dijkstra Algorithm in Ruby: I think I can't post the entire example for copyright issue, so if you want you can download the source code from the above link of the book, the file will be in the folder jwdsal2-code\code\connecting_everything_with_graphs\dijkstra.rb. - it runs perfectly and there isn't any error in the code.

            The excerpt from the code is the following:



            Answered 2021-May-06 at 07:22

            Your solution is almost correct.

            You assign the name of the city to the current_city variable whereas the original solution assigns the city object.



            Drawing the repeated square diagram of Power(2,6) in a recursively
            Asked 2020-Jun-28 at 14:05

            I am having a hard time understanding the process of drawing the repeated square diagram of recursion.

            I have the book of data structure and algorithms which shows this code on page 210:



            Answered 2020-Jun-28 at 14:05

            The difference in numbers that you see in the recursion trace comes from n/2 in the code. It is an integer division by two. So 13/2 is 6 and 6/2 is 3 and 3/2 is 1, and finally 1/2 is 0. This is what you see when you read the diagram from top to bottom. The diagram shows these entries shifted more and more to the right to represent the depth of the recursion. The function calls itself, and then it calls itself again, ...etc. All of these calls are pending... Each time these calls pass a value for n that is smaller (halved).

            Somewhere this stops. It needs to, of course. This stops when the value of n receives the value 0. You see this state at the bottom of the diagram. At that moment, the recursion does not go deeper and starts to unwind, and you need to read the diagram now from bottom back to the top. For n equal to 0, the return value is 1 (return 1).

            This value is read by the function execution where n is 1 and where the call power(2, 0) was made and waiting for a return value. It receives 1 as result. This value is then squared (partial * partial) which in this case still is 1. And because n is odd (it is 1 here), there is an additional multiplication *= x. So we actually calculate partial * partial * x, which is 1 * 1 * 2. You'll see this in the diagram.

            And this value (2) is returned to the function execution where n is 3 and where the call power(2, 1) was made. It receives 2 as result. This value is then squared (partial * partial) which in this case is 4. And because n is odd (it is 3 here), there is an additional multiplication *= x. So we actually calculate partial * partial * x, which is 2 * 2 * 2. You'll see this in the diagram.

            I hope you see the pattern. The function executions that are pending for a result, all get their value back from the recursive function call they made, do some multiplication with it and return that, in turn, to their caller.

            And so the recursion backtracks to the top, providing the end result to the top-level call of power(2, 13).



            Insertion sort algorithm runtime
            Asked 2020-Feb-24 at 09:05

            I was trying to see the difference in runtime for different sorting algorithms when I found that I was getting consistently faster runtime for one version of Insertion sort than another version of insertion sort. The versions of the algorithms seem nearly Identical (only a 1 off the difference). I am not sure why. One version (slower one) is from w3resource and the other one (faster one) is from geeksforgeeks. I am doing the comparison in python.

            Geeks for Geeks



            Answered 2020-Feb-24 at 09:05

            The top one defines j once per outer loop. 10.000 times. In the bottom one you have to decrease j in every inner loop control for testing. That's (10.000 * 10.000 - 10.000)/2 as an upper limit (thanks to @trincot for correcting this) operations more.

            Slower Version:



            How to implement deque data structure in javascript?
            Asked 2020-Feb-04 at 14:13

            I'm Learning data structure with javascript

            and my focus now on how to implement deque?

            Edite: from comments below I get useful directions on how to implement deque based array. Is there a direction how to implement deque based object using class ?

            I get understand some points like I need :

            • addFront()
            • removeFront()
            • peekFront()
            • addBack()
            • removeBack()
            • peekBack()

            but I'm confused about some points :

            • how many pointers I need ? at least I know from queue I need two(head-tail) pointer but not sure if I need more in deque

            • which data type in javascript convenient in this case as a base? I saw some tutors in youtube talking about circular array for example which unknown for me in JS.


            I was following a book called: learning javascript data structures and algorithms 3rd edition

            in chapter5 of this book the author started to implement Deque based on object only and some variables

            but I didn't understand how he did that because the code encrypted but I can still reach to his files from and test his approach github repository

            I can say that @trincot answer very close of book author approach

            but when I compare the results I get this [1 = author - 2 = @trincot] :

            according to the book index taking about linked list comes in chapter6 so I didn't expect his solution will be based on something he didn't mentioned before

            plz if I miss any point I will be grateful to tell me it ... thanks



            Answered 2020-Feb-04 at 13:27

            As stated in comments, JavaScript has native support for deque operations via its Array class/prototype: push, pop, shift, unshift.

            If you still want to write your own implementation, then you can go for a doubly linked list, where you just need two "pointers". It should be said that in JavaScript we don't really speak of pointers, but of objects. Variables or properties that get an object as value, are in fact references in JavaScript.

            Alternatively, you can go for a circular array. Since in JavaScript standard Arrays are not guaranteed to be consecutive arrays as for example is the case in C, you don't really need to use an Array instance for that. A plain object (or Map) will do.

            So here are two possible implementations:

            Doubly Linked List



            Find Maximun area on Array
            Asked 2018-Nov-17 at 14:34

            I am doing exercises from the app Data Structures in Scala, I have coded the second problem on Arrays like this:



            Answered 2018-Nov-16 at 20:42

            Here's a way to implement your algorithm without recursion (not that I actually think there's anything inherently wrong with recursion).



            C# Recursion, "Data Structures and Algorithms". How does this program print separate routes without overwriting itself?
            Asked 2018-May-11 at 02:26

            I'm currently studying Recursion in C# from the book "Data Structures and Algorithms" by Alfred V. Aho and Jeffrey D. Ullman. Link

            This problem is used to reinforce an understanding of Recursion.

            We are given a labyrinth with a rectangular shape, consisting of N*M squares.

            Each square is either passable or impassable. An adventurer enters the labyrinth from its top left corner (there is the entrance) and has to reach the bottom right corner of the labyrinth (there is the exit).

            At each turn the adventurer can move up, down, left or right with one position and he has no right to go outside the binderies of the labyrinth, or step on impassable square. Passing through one and the same position is also forbidden (it is considered that the adventurer is lost if after a several turns he goes back to a position he has already been).

            The following program uses Recursion to print all possible routes through the Labyrinth in the console.

            A two-dimensional array of characters represents the labyrinth, the character ' ' (space) marks the passable positions, '*' the impassable positions and 'e' is the exit from the labyrinth.

            The positions we have already visited are marked with the character 's'.

            An array "path[]" is used in order to store and print the paths we have found by our recursive algorithm, each direction is recorded as so (L – left, U – up, R – right, D – down).

            A counter keeps track of how many times we have moved to the next position recursively, i.e. the current depth of recursion.



            Answered 2018-May-11 at 02:26

            In your case before making these recursive calls the position = 1. And you can imagine your stack as:


            Imagine that in order to find exit the program made 3 recursive calls. Then the stack is:


            At this point the position = 4.

            After printing the result, method calls return, but before that they decrease the position by 1.

            So before going for another set of recursive calls your stack is again looks like this:


            and the position = 1.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install data-structures-and-algorithms

            You can download it from GitHub.
            You can use data-structures-and-algorithms like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the data-structures-and-algorithms component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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