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Some of the homework help topics include:
- Array-Based Lists , Linked Lists ,Skiplists , Hash Tables ,Recursion ,Binary Trees ,Scapegoat Trees ,Red–Black Trees ,Heaps ,Sorting Algorithms ,Graphs ,Binary Tree
- Induction ,Recurrence relations ,Big-Oh and little-Oh notation ,Merge sort ,Graph Algorithms ,Depth-first search, strongly connected components ,Breadth-first search, Dijkstra's algorithm
- Greedy Algorithms ,Minimum spanning tree ,Union find ,Set cover ,Huffman coding ,Dynamic Programming ,Longest common subsequence ,Traveling salesman ,Divide and Conquer ,Integer multiplication ,
- Matrix multiplication ,Hashing ,Linear Programming ,Problem definitions and solution techniques ,Reductions ,Maximum matching ,Randomized Algorithms ,Primality testing and factoring, RSA
- Random walks and 2-SAT ,NP-completeness ,Basic NP-complete problems ,Novel approaches to NP-complete problems ,Approximation algorithms.
- Stacks, Queues, Linked lists, Algorithm analysis ,processes (threading, context switching, interprocess communication), storage and file management (file systems, virtual memory), networking (sockets, TCP/IP, routing) ,distributed systems.
Generally topics like Recursion, Sorting, Mergesort, Quicksort, Bin sort, Heap sort, Trees, Traversal, Binary search trees are considered very complex & an expert help is required in order to solve the assignments based on topics like Hash tables, Balanced trees, Splay trees, Avl trees, Red-black trees.
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Topics like B trees, Union-find trees, Priority queues, Binary heaps, Graphs., Graph algorithms & the assignment help on these topics is really helpful if you are struggling with the complex problems.
Help for Data Structures and Algorithms assignments include :
- Processing algorithms for data structures;general design;linked lists;various tree organizations;hash tables, strings;storage allocation;algorithms for searching and sorting;Using Arrays, Linked Lists, Algorithm Analysis
- Recursion, Stacks, Queues, Inheritance, Casting, Generics , Nested Classes, Priority Queues, Maps , Hash Tables, Sorted Maps , Binary Search Trees, Balanced Search Trees, Sets, Graphs, Trees, Sorting, data structure
- Data types, specification of a data type, representation of a data type, implementation of a data type;Implemented data type, Linked list, singly linked list, doubly linked list, stack, queue, algorithm for infix to postix notiation
- String, array , Trees, general tree, binary tree, binary search tree , red black tree, balanced trees, Priority queue, heap, binary heap, Set implementation using vector, Set implementation using linked list, Set implementation using tree
- Set implementation using balanced tree , Graphs, oriented graph, shortest path algorithms, transitive closure, unoriented graphminimal spanning tree algorithms, Table, hash table, hashing with chaining, open addressing, insertion sortingexchange sorting, selection sorting, Shell sorting, quick sorting, merge sorting, distributive sorting, radix sorting, merge sorting, Computational complexity
- Algorithm analysis, Application of common data structures, implementation of common data structures, stacks, queues, lists, priority queues, tables, sets, collections, arrays, linked lists, heaps, trees , balanced trees, hashing, new data structures, graph theory, pattern searching , data compression
Help For Complex topics :
- Algorithmic Toolbox,Greedy Algorithms,Divide-and-Conquer,Dynamic Programming,Data Structures,Basic Data Structures,Dynamic Arrays and Amortized Analysis,Priority Queues and Disjoint Sets,Hash Tables,Binary Search Trees,Binary Search Trees 2,
- Algorithms on Graphs,Decomposition of Graphs,Paths in Graphs,Minimum Spanning Trees,Algorithms on Strings,Suffix Trees,Burrows-Wheeler Transform and Suffix Arrays,Knuth–Morris–Pratt Algorithm,Constructing Suffix Arrays and Suffix Trees,
- Advanced Algorithms and Complexity,Flows in Networks,Linear Programming,NP-complete Problems,Coping with NP-completeness,Streaming Algorithms