#Kruskal’s Algorithm

[ww92030]

Kruskal's Algorithm

Char belongs to T/trailtheproot.

[touchh-me-not]

Anyone who wants to appreciate Kruskal's Algorithm can like this

(since Joseph Kruskal had come up with his fascinating algorithm when he was just a 2nd year graduate student)

[snaildotexe]

Software Technical Interview Review List

Data Structures

Arrays (and Java List vs ArrayList)

String

Stack

Queue

LinkedList

Algorithms

Sorting (Bubblesort, Mergesort, Quicksort)

Recursion & Backtracking

Linear and Binary Search

String/Array algos

Tree traversal

Dynamic Programming

Graph algos (DFS, BFS, Dijksta's and Kruskals)

OOP fundamentals

Polymorphism

Inheritance

Encapsulation

Data abstraction

SOLID and GRASP

Explanations & example questions:

Strings and Arrays [ 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 ]

Stacks and Queues [ 1 | 2 ]

LinkedList [ 1 | 2 ]

Sorting & searching [ 1 | 2 | 3 | 4 | 5 | 6 | 7 ]

Recursion and Backtracking [ 1 | 2 | 3 | 4 ]

Dynamic Programming [ 1 | 2 | 3 | 4]

Graphs [ 1 | 2 | 3 ]

Tree [ 1 | 2 ]

General DS&A info and questions [ 1 | 2 | 3 | 4 | 5 ]

OOP review & questions [ 1 | 2 | 3 ]

[manapotionstudios]

DelaneyPost 01 (ManaPost 06): Fungeon -- Clever Wordplay!

Heyo! Y here for today’s Mana-welcome! Except it’s not the usual ManaPost… This is the first DelaneyPost! Ever! Yippee!!! Strap in for the long haul, this one’s a doozy.

Since you all haven’t seen anything about Delaney since the teaser, it would be nice to learn about the protagonist, yes?

THE Laney

Introducing Delaney! The protagonist of Delaney. Yup. This stoic, havoc-wreaking, hammer-wielding anarchist leads the venture deep into a cult’s mysterious manor responsible for the assimilation of everyone near and far to their twisted status quo. She’s slinging herself through every pile of flesh and bone, bashing through any wall in order to destroy this cult from the outside in!

Where did she come from?

Delaney actually stems from an interesting interaction with a close friend, Denise Tranglong, who had shared a character concept with us. Naturally, it was a very cool concept, and we immediately inquired for permission to use this character, and since you’re seeing this post now, she had granted said permission. Of course, we’ve taken a few creative liberties, but her core design and personality stays true to the original creator’s intentions.

Where did she go? Originally, we took the initial hiatus from Delaney due to a flood of new ideas and inspiration for Manaport! Since we try to keep a fluid and open mindset when it comes to what we want to work on, we tend to bounce around from time to time. This ensures persistent focus on getting at least something done each week, and it’s the reason why we can get these ManaPosts out every weekend!

Where did she come from, Cotton-Eye Joe?

Delaney’s origins in canon are unknown. She clearly has some hatred towards this cult, but it isn’t clear if this is a personal gripe. She’s not the most talkative, probably focusing on the task at hand. We’re worried to question her anyway — she’s quite heavy-handed when it comes to her trusty hammer.

Incredibly stretched subheadings aside, Gameplay! What’s it gonna be like to play the game?

The Fungeon

Delaney is a spin on the run-of-the-mill dungeon-crawler roguelike formula! That’s just it, you spin!

In order to navigate these endless rooms of clicking bones and armour, spin and fling delaney in ANY direction you choose! Get anywhere without the inconvenience of WALKING! Don’t you just HATE walking sometimes? This is the solution for you!

Of course, since this is also a hammer, you can bash anyone and anything with it. This has its own range of abilities that we plan to add, though not shown here. Rest assured that your screen will be filled with beautifully vibrant damage numbers and repeating sounds of the screams of the damned.

Violence aside, how does it all work?

NOT The Backrooms

Here be dragons! This section of the ManaPost is quite technical! We encourage you to read up on these concepts/algorithms if you’re interested. The reference used for a majority of this implementation can be found here

First, we generate a fixed number of rooms with random size within a circular area. Rooms that are larger than a set threshold, we label as “Hub Rooms,” or rooms where you’ll find most monsters.

Then, we run — not joking here — a Delaunay Triangulation algorithm on each Hub Room, creating a sort of graph that connects every Hub Room to each other.

Then, we use Kruskal’s Algorithm to find the Minimum Spanning Tree of the aforementioned triangulation graph.

Then, we add a few edges back from the Delaunay Triangulation. 

Lastly, generate the hallways connecting these rooms, and remove the rooms that aren't necessary (labeled in red,) and boom, fungeon!

This is a very simplified explanation of this generation algorithm, and again, if you would like a little more in depth “tutorial” once again, the reference we used for this system can be found here.

With the 🤓 out of the way, we finally have the makings of a decent gameplay loop! You can finally pause and exit the game! A Manapotion first :)

We don't have much else to show since we're still working out the kinks in this new system, but know that we're doing our best to make these DelaneyPosts as content-filled as possible, since it's a very simple game in contrast to Manaport.

To bring this DelaneyPost to a close,

Thank you very much for sticking with us this past month. We've made lots of great progress on our two games and we love to share these tidbits with you every weekend. We hope you've had a great pride month!

See you all next week!

C and Y

[ankitcodinghub]

CMSC 451 Homework 5 Solved

1. Execute Prim’s minimum spanning tree algorithm by hand on the graph below showing how the data structures evolve specifically indicating when the distance from a fringe vertex to the tree is updated. Clearly indicate which edges become part of the minimum spanning tree and in which order. Start at vertex A. 2. Execute Kruskal’s algorithm on the weighted tree shown below. Assume that edges of…

[programmingandengineering]

A2 - Part 1 :: Dijkstra's Algorithm & Part 2 : Kruskal's Algorithm

A2 is in Three Parts – Part 1 is posted now, Parts 2 and 3 will be posted this weekend. Each part will be worth equal points and be of similar challenge. Part 1 :: Dijkstra’s Algorithm. (50 Points) In this programming assignment, you are asked to implement the Dijkstra’s algorithm in a Java program. The name of your submitted file should be A2Part1.java. Your Java program must be configured as a…

[sunbeaminfo]

Enhance Your Coding Skills with Data Structures and Algorithms Classes at Sunbeam Institute, Pune

Elevate your programming expertise by enrolling in the Data Structures and Algorithms course at Sunbeam Institute, Pune. This comprehensive program is designed for students, freshers, and working professionals aiming to deepen their understanding of essential data structures and algorithms using Java.

Course Highlights:

Algorithm Analysis: Learn to evaluate time and space complexity for efficient coding.

Linked Lists: Master various types, including singly, doubly, and circular linked lists.

Stacks and Queues: Understand their implementation using arrays and linked lists, and apply them in expression evaluation and parenthesis balancing.

Sorting and Searching: Gain proficiency in algorithms like Quick Sort, Merge Sort, Heap Sort, Linear Search, Binary Search, and Hashing.

Trees and Graphs: Explore tree traversals, Binary Search Trees (BST), and graph algorithms such as Prim’s MST, Kruskal’s MST, Dijkstra's, and A* search.

Course Details:

Duration: 60 hours

Schedule: Weekdays (Monday to Saturday), 5:00 PM to 8:00 PM

Upcoming Batch: January 27, 2025, to February 18, 2025

Fees: ₹7,500 (including 18% GST)

Prerequisites:

Basic knowledge of Java programming, including classes, objects, generics, and Java collections (e.g., ArrayList).

Why Choose Sunbeam Institute?

Sunbeam Institute is renowned for its effective IT training programs in Pune, offering a blend of theoretical knowledge and practical application to ensure a thorough understanding of complex concepts.

Enroll Now: Secure your spot in this sought-after course to advance your programming skills and enhance your career prospects. For registration and more information, visit:

[codingprolab]

Solved (CSCI 323) Assignment 9 "Minimum Spanning Tree Algorithms"

Overview: This assignment builds on the graph-related functions of a previous assignment, as well as the general infrastructure of several earlier assignments, to implement and study the empirical performance of several algorithms for the Minimum Spanning Tree (MST) problems, namely ● Prim’s MST Algorithm w/ matrix ● Prim’s MST Algorithm w/ table ● Kruskal’s MST Algorithm w/ matrix ● Kruskal’s…

[myprogrammingsolver]

VE477 Lab 2

1 C programming Using the C standard library write efficient implementations of The Union-Find data structure. Kruskal’s algorithm. Prim’s algorithm for solving the Minimum Spanning Tree problem. Consider the complexity of Kruskal and Prim algorithms and then compare how do they do perform in practice. Hint: run the implementations on various types of graphs (size, sparse, dense…). 2 More…

[codeshive]

CS 6515-O01 Coding Project 3 solved

Find MST Using Kruskal’s Algorithm – 10 Points In this assignment you will use the provided code template to find the Minimum Spanning Tree of a graph using Kruskal’s Algorithm. You will not only implement the algorithm itself, but you will also implement 3 necessary functions for the union-find abstract data type, which is used to determine whether or not adding a particular edge will create a…

[tutort-academy]

5 Algorithms Every Programmer Should Know To Code Like a Boss

Algorithms play a crucial role in the software development industry, particularly in SDE (Software Development Engineer) interviews. Mastering the right algorithms can make a significant difference in landing that dream job or promotion. In this article, we will explore the importance of algorithms in SDE interviews and discuss the top 5 algorithms that every programmer should know. So, let's dive in!

Importance of Algorithms in SDE Interviews

Algorithms are step-by-step procedures or sets of rules used to solve specific problems. In the context of SDE interviews, algorithms are essential for evaluating a candidate's problem-solving skills, logical thinking, and understanding of fundamental programming concepts. Here's why algorithms are crucial in SDE interviews:

Problem-Solving Skills: SDE interviews often include challenging coding problems that require efficient and optimized solutions. Algorithms provide a systematic approach to solving these problems, showcasing a candidate's problem-solving abilities.

Efficiency and Optimization: Algorithms help in designing efficient and optimized solutions that minimize time complexity and maximize performance. Employers look for candidates who can write code that is both correct and efficient.

Algorithmic Thinking: Understanding algorithms enables candidates to think algorithmically, breaking down complex problems into smaller, more manageable parts. This type of thinking is essential for designing scalable and robust software solutions.

Data Structures: Algorithms and data structures go hand in hand. Knowing algorithms helps candidates choose the right data structures to store and manipulate data efficiently.

Top 5 Algorithms Every Programmer Should Know

Now that we understand the importance of algorithms let's explore the top 5 algorithms that every programmer should be familiar with:

1. Binary Search Algorithm

The binary search algorithm is a fundamental algorithm used to search for an element in a sorted array efficiently. It follows a divide-and-conquer approach, repeatedly dividing the search space in half until the target element is found.

2. Breadth First Search (BFS) Algorithm

BFS is a graph traversal algorithm that explores all the vertices of a graph in breadth-first order. It starts at a given source vertex and visits all its neighboring vertices before moving to the next level.

3. Depth First Search (DFS) Algorithm

DFS is another graph traversal algorithm that explores all the vertices of a graph in depth-first order. It starts at a given source vertex and explores as far as possible along each branch before backtracking.

4. Merge Sort Algorithm

Merge sort is a comparison-based sorting algorithm that follows the divide-and-conquer approach. It divides the input array into two halves, sorts them separately, and then merges them to obtain a sorted array.

5. Quicksort Algorithm

Quicksort is another comparison-based sorting algorithm that also follows the divide-and-conquer approach. It selects a pivot element and partitions the array around the pivot, placing all smaller elements to its left and larger elements to its right. It then recursively sorts the subarrays.

These top 5 algorithms are widely used in various applications and serve as building blocks for more complex algorithms. Other algorithms one should know are- Bubble Sort, Dijkstra’s Algorithm, Knapsack Problem, Floyd Warshall Algorithm, Kruskal’s Algorithms. Mastering them not only enhances problem-solving skills but also forms a strong foundation for tackling diverse programming challenges.

Bottom Line

Algorithms are the backbone of software development and play a vital role in SDE interviews. Understanding and implementing the right algorithms can make a significant difference in a programmer's career. By mastering the top 5 algorithms discussed in this article, programmers can demonstrate their problem-solving abilities, logical thinking, and efficiency in coding. 

If you're looking to level up your software development skills and get hands-on experience with real-world projects, Tutort Academy Full Stack Software Developer Courses are the perfect choice. So, start practicing these algorithms today and boost your chances of success in SDE interviews!

[taami]

11/07/23

ok, i got my calculator back. baby came back safely

since i already had to go to uni i decided to study a little bit while drinking mate with a friend

to do ✓ graphs problem set (dijkstra algorithm) ✓ threes problem set (prim n kruskal algorithms)

anyways we stayed waaaay later than expected but it was very productive afternoon ♡⁠˖!!

[fierykitten2]

So earlier in Further Maths I was learning about Kruskal’s Algorithm and there was an example question where the first edge was CF and it had a weight of 7 — me being the F-Zero fan I am I couldn’t help but think about pilot number 7 Captain Falcon

I swear I do more in Further Maths than spill hot chocolate on my folder, misspell remaining and think about F-Zero

[adamantiline-blog]

[incandescent-eden]

She closed her eyes, pressing cold fingers under plastic glasses rims and against warm eyelids. “He says she’s been causing him emotional distress, but given how recently she’s died, a judge would probably give her the benefit of the doubt because think about how emotionally distressed she’d be. Not to mention – we don’t know how bad it is at the Hastings place. And we don’t want Evelyn showing up with any nasty surprises.��

Mori opened her eyes again, adjusting her glasses to the sound of Willow’s laptop being shut and packed away. The gray buildings surrounding the office were now stretches of darkness indistinguishable from the evening, broken only by large windows showing shadows and figures from other offices moving about; the small square of sunlight that lit the city earlier had long since faded, giving way to phosphorescent streetlamps shining blue far below and orange electric lamps that mimicked the glow of flame in the buildings’ interiors.

“I ought to get home,” Willow said, tugging her stylish pea coat closed over her autumn-colored dress. “6 PM. You know how the traffic rush is.”

Want to get dinner? Mori almost asked. Her heart thumped as Willow smoothed her hair back, fussing with the loose strands until she somehow, magically, twisted them back into place. There’s this café just around the corner. I know you’ll love it.

“Sure,” she said instead. “See you tomorrow.”

Spirit of the Law sure is a piece of writing.