Learn Data Structures Algorithms, C Programming, C++, Java, Python,JS, Aptitude

Note: This app requires internet connectivity.Study Algorithms, some simple algorithms to help you. As thetagline says, the application presents to you with some of thesimplest algorithms that are helpful in daily life. The algorithmshave been written in a really simple and lucid manner, that makesit easier to understand.The complete working and tested codes are also provided so thatthey can help you whenever required. The codes are properlyformatted and commented so that you can get a hold of the flow ofthe approach used.Most of the questions have more than one solution with betteroptimizations. Overall, this application can be helpful to you whenpreparing for several interviews or simply to learn newmethods.The application pulls the feeds directly from the main sitehttp://www.studyalgorithms.com and thereforethe content will be updated every time you launch theapplication..Any improvements are welcome.

This free App on Data Structure covers most important topics withfull Description using Easy example and Diagrams. this Subject isvery Helpful in Exam, Viva, Gate. All Chapter are Related to eachother so after keeping it in mind all Content are Arranged withStep by Step. The best app for Exam, college and in programs. Ifyou are a student It will help to learn a lot. This useful Applists 130 topics in 5 chapters, totally based on practical as wellas a strong base of theoretical knowledge with notes written invery simple and understandable English. Consider this App as aquick note guide which professors use in a classroom. The App willhelp in faster learning and quick revisions of all the topics. Someof the topics Covered in the app are: 1. Introduction to Algorithms2. Efficiency of algorithm 3. Analysis of insertion sort 4.Insertion sort 5. The divide-and-conquer approach 6. Analyzingdivide-and-conquer algorithms 7. Asymptotic notation 8. Asymptoticnotation in equations and inequalities 9. Standard notations andcommon functions 10. The hiring problem 11. Indicator randomvariables 12. Balls and bins 13. Probabilistic analysis and furtheruses of indicator random variables 14. Streaks 15. The on-linehiring problem 16. Overview of Recurrences 17. The substitutionmethod for recurrences 18. The recursion-tree method 19. The mastermethod 20. Proof of the master theorem 21. The proof for exactpowers 22. Floors and ceilings 23. Randomized algorithms 24. Heaps25. Maintaining the heap property 26. Building a heap 27. Theheapsort algorithm 28. Priority queues 29. Description of quicksort30. Performance of quicksort 31. A randomized version of quicksort32. Analysis of quicksort 33. Lower bounds for sorting 34. Countingsort 35. Radix sort 36. Minimum and maximum 37. Selection inexpected linear time 38. Bucket sort 39. Selection in worst-caselinear time 40. Stacks and queues 41. Linked lists 42. Implementingpointers and objects 43. Representing rooted trees 44.Direct-address tables 45. Hash tables 46. Hash functions 47. Openaddressing 48. Perfect hashing 49. introduction to binary searchtree 50. Querying a binary search tree 51. Insertion and deletion52. Randomly built binary search trees 53. Red-Black Trees 54.Rotations of red black tree 55. Insertion in red black tree 56.Deletion in red black tree 57. Dynamic order statistics 58.Augmenting a Data Structure 59. Interval Trees 60. Overview ofDynamic Programming 61. Assembly-line scheduling 62. Matrix-chainmultiplication 63. Elements of dynamic programming 64. Longestcommon subsequence 65. Optimal binary search trees 66. GreedyAlgorithms 67. Elements of the greedy strategy 68. Huffman codes69. Theoretical foundations for greedy methods 70. Atask-scheduling problem 71. Aggregate analysis 72. The accountingmethod 73. The potential method 74. Dynamic tables 75. B-Trees 76.Definition of B-trees 77. Basic operations on B-trees 78. Deletinga key from a B-tree 79. Binomial Heaps 80. Operations on binomialheaps 81. Fibonacci Heaps 82. Mergeable-heap operations 83.Decreasing a key and deleting a node 84. Bounding the maximumdegree 85. Data Structures for Disjoint Sets 86. Linked-listrepresentation of disjoint sets 87. Disjoint-set forests 88.Analysis of union by rank with path compression 89. Representationsof graphs 90. Breadth-first search 91. Depth-first search 92.Topological sort 93. Strongly connected components 94. MinimumSpanning Trees 95. Growing a minimum spanning tree 96. Thealgorithms of Kruskal and Prim 97. Single-Source Shortest Paths 98.The Bellman-Ford algorithm 99. Single-source shortest paths indirected acyclic graphs 100. Dijkstra's algorithm 101. Differenceconstraints and shortest paths 102. Shortest paths and matrixmultiplication 103. The Floyd-Warshall algorithm Algorithms is partof computer science & software engineering education coursesand information technology degree programs of various universities.

This app contains explanations of datastructure algorithms like:-->Insertion Sort-->Dijkstra's-->Depth First Search-->Breadth First Search-->Bellman Ford--> Bubble Sort-->Radix Sort-->Prim's Algorithm-->AVL Tree-->NP completeness-->knapsack problem ,,,,,,,,and many moreFEATURES:1) Pseudo code of all algorithms2) Explanations of pseudo codes3) Diagrammatic representation of examples4) C program of all algorithms5) Does not need internet to run ;)

Simple app to visualize sort algorithm. Youcan select two algorithm to "fight" with each other and check whofinish sorting first. And there's details about the algorithms, youcan check out for it at any time.

Algorithm and Programming Best BookTable of Content0. Introduction Algorithms and Programming Modules CourseOrganisation1. Computing & Programming Concepts Computers, Programming,Languages2. Introduction to C Programming Simple Programs, Memory Concepts,Arithmetic in C 2.5 DOS, Windows & the C++ Compilers OperatingSystems, Basic Commands, Borland C++ and C++ BuilderCompilers3. Structured Program Development Algorithms, Problem SolvingTechniques, Control Structures4. Program Control More Control Structures, Logical Operators5. Functions6. Arrays7. Pointers8. Characters and Strings9. Formatted Input/OutputKeywords : algorithm in programming, program algorithm example,programing algorithm, program algorithm, programing algorithms,algorithm for programming, algorithm program, algorithm examplesprogramming, algorithm programming, programming algorithm,algorithms in programming, programming algorithm examples,algorithms programming, algorithms in computer programming,algorithm in computer programming, make an algorithm, algorithmcomputers, writing algorithm, algorithm writing tools, languagealgorithm, computing algorithm

It is always a good to study the programs withthe help of algorithm. This app provides you a very basic ideaabout the Data Structure and its algorithms.

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