OLTP and OLAP are two types of databases that are optimized for different types of workloads. In this article, we will discuss the differences between OLTP and OLAP systems, their characteristics, and how they are used in real-world scenarios.
A quick guide to the Nginx Stream module.
Explore algorithms based on divide and conquer principles in Ruby, including Kruskal’s algorithm for minimum spanning tree, line intersection, and parallel algorithms for connected components, with examples and implementations.
Explore some algorithms based on divide and conquer principles in Ruby, including the Master Theorem, Fast Walsh-Hadamard Transform, Counting Inversions, Skyline Problem, Maximum Subarray Problem, Sparse Table, Planar Point Location, Maximum Flow Problem, Dynamic Programming Optimization, and Discrete Fourier Transform.
Some example of divide and conquer algorithms in Ruby, including binary Karatsuba Algorithm, Fast Fourier Transform (FFT), Closest Pair of Points, Convex Hull, Optimal Binary Search Tree, VLSI Layout, Tower of Hanoi, Multipoint Polynomial Evaluation and Interpolation, Medians and Order Statistics, Ternary Search.
Learn about linked list algorithms in Ruby, including linked list traversal, insertion, deletion, and reversal, with examples and comparisons of their performance.
Learn about divide and conquer algorithms in Ruby, including binary search, merge sort and quick sort, with examples and comparisons of their performance.
Learn about backtracking algorithms in Ruby, including the N-Queens problem, Sudoku solver, and Knight’s tour problem, with examples and comparisons of their performance.
Learn about greedy algorithms in Ruby, including the greedy algorithm paradigm, examples of greedy algorithms, and their applications in solving optimization problems.
Learn about graph algorithms in Ruby, including depth-first search (DFS), breadth-first search (BFS), Dijkstra’s algorithm, and A* search, with examples and comparisons of their performance.