It also includes interview questions on an overview of graphs, adjacency lists, adjacency matrices, depth-first traversal, breadth-first traversal, design of minimum spanning trees, Kruskal’s algorithm, Prim’s algorithm, Dijkstra and Bellman-Ford algorithms, and spanning trees....
QuickSort: Depending on implementation, can be in-place or not, and can be adaptive or not. Bucket Sort: Stability depends on the sorting algorithm used within each bucket. 3. What would be an Ideal Sorting Algorithm? An ideal sorting algorithm would have these key characteristics: Stability:...
La chaîne de Markov Monte Carlo est une classe d'algorithmes utilisés pour échantillonner à partir d'une distribution de probabilité lorsque l'échantillonnage direct est difficile. Elle est importante dans les statistiques bayésiennes car elle permet d'estimer les distributions postérieures,...
Resampling methods are used to ensure that the model is good enough and can handle variations in data. The model does that by training it on the variety of patterns found in the dataset. 11. What is underfitting? A statistical model or a machine learning algorithm is said to have underfitti...
Usingboth Prim's and sKruskal'salgorithm, calculatethe minimum spanning tree, listing edges in the minimal spanning tree in the orderthey are added to the tree.AEBFHDCGS1014128161357415963114J.Single source shortest patha.Describe Djikstra'salgorithm for finding shortest paths in a graphb.Consider ...
Subarray Questions: Sliding window, Two Pointer, Kadane's Algorithm Graphs Introduction BFS DFS Working with graph components Minimum Spanning Trees Kruskal Algorithm Prims Algorithm Dijkstra’s shortest path algorithm Topological Sort Bellman ford A* pathfinding Algorithm Dynamic Programming Introduction Re...