Top 19 Games Similar to Genetic Algorithm Explorer
Molecular Genetics 1.0
From this App you can learn : Explore when, where andhowDNAreplication takes place and what happens if there isamistakeduring DNA replication. Understand, draw and exploretheprocess ofDNA replication, including all the enzymes andmoleculesthat arenecessary. Summarize the molecular mechanisminvolvedintranscription and translation phenomena. Identify howDNAmutationsinfluence protein structure and summarize howmutationsmay causecancer. Co–relate and understand the geneticconcepts ofbacteriaand viruses. Distinguish the different genetransfermechanisms inbacteria (conjugation, transformationandtransduction).Investigate how operons act as on-off switchesfortranscriptionand allow for production of genes only whenneeded.Apply theconcepts of genetics of viruses and bacteria toproducenovelproducts using recombinant DNA technology. Apply theconceptsoftranscription and translation for the synthesisofdesiredfragments of DNA both by in vivo and in vitro methods.Moredetailsplease visithttp://www.wonderwhizkids.com/"Wonderwhizkids.com"hosts conceptoriented content in Maths &Sciences speciallydesigned for K-8to K-12 grades. "Wonderwhizkids(WWK) enablesstudents to enjoylearning with application oriented,visually richcontent which issimple and easy to understand. Thecontent isaligned to bestpractices of learning and teaching.Students candevelop strongbasics, critical thinking and problemsolving skillsto do well inschool and beyond. Teachers can use WWKas areference material to bemore creative in designingengaginglearning experiences. Parentsalso can actively participateintheir child's development throughWWK".
Study Algorithms 2.3
Note: This app requires internet connectivity.Study Algorithms, some simple algorithms to help you. Asthetagline says, the application presents to you with some ofthesimplest algorithms that are helpful in daily life. Thealgorithmshave been written in a really simple and lucid manner,that makesit easier to understand.The complete working and tested codes are also provided so thattheycan help you whenever required. The codes are properlyformatted andcommented so that you can get a hold of the flow ofthe approachused.Most of the questions have more than one solution withbetteroptimizations. Overall, this application can be helpful toyou whenpreparing for several interviews or simply to learnnewmethods.The application pulls the feeds directly from the mainsitehttp://www.studyalgorithms.com and thereforethecontent will be updated every time you launch theapplication..Any improvements are welcome.
Data Structure and Algorithm 1.0
This application help you guys to quick brush up before interviewonsearching and sorting techniques.It includes all possiblesorting(like; Bubble sort, Quick sort, Merge sort, Heap sort)andsearching(like; Linear search,Binary search, Hashing)techniques.Apart from these algorithms it has also basic C programswhich arefrequently asked in interview for a fresher level andcollege basedcomputer labs.All the algorithms has been described in better understandingwayand how it works. All algorithms are also coded in C with agoodexample. All code has been executed successfully, so these arezeroerror codes.
Algorithms Tutor 1.0
This app contains explanations ofdatastructure 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 ;)
Data Structure and Algorithm 7
This free App on Data Structure covers most important topicswithfull Description using Easy example and Diagrams. this Subjectisvery Helpful in Exam, Viva, Gate. All Chapter are Related toeachother so after keeping it in mind all Content are ArrangedwithStep by Step. The best app for Exam, college and in programs.Ifyou are a student It will help to learn a lot. This usefulApplists 130 topics in 5 chapters, totally based on practical aswellas a strong base of theoretical knowledge with notes writteninvery simple and understandable English. Consider this App asaquick note guide which professors use in a classroom. The Appwillhelp in faster learning and quick revisions of all the topics.Someof the topics Covered in the app are: 1. Introduction toAlgorithms2. Efficiency of algorithm 3. Analysis of insertion sort4.Insertion sort 5. The divide-and-conquer approach 6.Analyzingdivide-and-conquer algorithms 7. Asymptotic notation 8.Asymptoticnotation in equations and inequalities 9. Standardnotations andcommon functions 10. The hiring problem 11. Indicatorrandomvariables 12. Balls and bins 13. Probabilistic analysis andfurtheruses of indicator random variables 14. Streaks 15. Theon-linehiring problem 16. Overview of Recurrences 17. Thesubstitutionmethod for recurrences 18. The recursion-tree method19. The mastermethod 20. Proof of the master theorem 21. The prooffor exactpowers 22. Floors and ceilings 23. Randomized algorithms24. Heaps25. Maintaining the heap property 26. Building a heap 27.Theheapsort algorithm 28. Priority queues 29. Description ofquicksort30. Performance of quicksort 31. A randomized version ofquicksort32. Analysis of quicksort 33. Lower bounds for sorting 34.Countingsort 35. Radix sort 36. Minimum and maximum 37. Selectioninexpected linear time 38. Bucket sort 39. Selection inworst-caselinear time 40. Stacks and queues 41. Linked lists 42.Implementingpointers and objects 43. Representing rooted trees44.Direct-address tables 45. Hash tables 46. Hash functions 47.Openaddressing 48. Perfect hashing 49. introduction to binarysearchtree 50. Querying a binary search tree 51. Insertion anddeletion52. Randomly built binary search trees 53. Red-Black Trees54.Rotations of red black tree 55. Insertion in red black tree56.Deletion in red black tree 57. Dynamic order statistics58.Augmenting a Data Structure 59. Interval Trees 60. OverviewofDynamic 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. Huffmancodes69. Theoretical foundations for greedy methods 70.Atask-scheduling problem 71. Aggregate analysis 72. Theaccountingmethod 73. The potential method 74. Dynamic tables 75.B-Trees 76.Definition of B-trees 77. Basic operations on B-trees78. Deletinga key from a B-tree 79. Binomial Heaps 80. Operationson binomialheaps 81. Fibonacci Heaps 82. Mergeable-heap operations83.Decreasing a key and deleting a node 84. Bounding themaximumdegree 85. Data Structures for Disjoint Sets 86.Linked-listrepresentation of disjoint sets 87. Disjoint-set forests88.Analysis of union by rank with path compression 89.Representationsof graphs 90. Breadth-first search 91. Depth-firstsearch 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 Paths98.The Bellman-Ford algorithm 99. Single-source shortest pathsindirected acyclic graphs 100. Dijkstra's algorithm 101.Differenceconstraints and shortest paths 102. Shortest paths andmatrixmultiplication 103. The Floyd-Warshall algorithm Algorithmsis partof computer science & software engineering educationcoursesand information technology degree programs of variousuniversities.
All About Genes and Genetics 1.2
What do you know about your family tree?Haveany of your relatives had health problems that tend to runinfamilies? Which of these problems affected your parentsorgrandparents? Which ones affect you or your brothers orsistersnow? Which problems might you pass on to your children?Thanks to advances in medical research, doctors now havethetools to understand much about how certain illnesses, orincreasedrisks for certain illnesses, pass from generation togeneration.Here are some basics about genetics.Genes and ChromosomesGenetic ProblemsAbnormal Numbers of ChromosomesDeletions, Translocations, and InversionsSex ChromosomesGene MutationsOncogenes (Cancer-Causing Genes)New Discoveries, Better Care
Algorithm 1.00
HelloFumin is a developer living in South Korea.Create algorithms that can be shared is App.I ask a lot of use.Thank youE mail & Facebook: [email protected], make, binary
Algorithm and Programming 1.0
Algorithm and Programming Best BookTable of Content0. Introduction Algorithms and Programming ModulesCourseOrganisation1. Computing & Programming Concepts Computers,Programming,Languages2. Introduction to C Programming Simple Programs, MemoryConcepts,Arithmetic in C 2.5 DOS, Windows & the C++ CompilersOperatingSystems, Basic Commands, Borland C++ and C++BuilderCompilers3. Structured Program Development Algorithms, ProblemSolvingTechniques, Control Structures4. Program Control More Control Structures, Logical Operators5. Functions6. Arrays7. Pointers8. Characters and Strings9. Formatted Input/OutputKeywords : algorithm in programming, program algorithmexample,programing algorithm, program algorithm, programingalgorithms,algorithm for programming, algorithm program, algorithmexamplesprogramming, algorithm programming, programmingalgorithm,algorithms in programming, programming algorithmexamples,algorithms programming, algorithms in computerprogramming,algorithm in computer programming, make an algorithm,algorithmcomputers, writing algorithm, algorithm writing tools,languagealgorithm, computing algorithm
Algorithm Helper 1.1
Algorithm Helper covers commontopicsdiscussedin software interviews, including graphalgorithms,binary searchtrees, linked lists, and sorting. Weprovide anoverview and commoninterview questions for each topic.Thecoverage is broad andlightweight enough to be helpful totheadvanced undergraduate orprofessional who would like tosharpenhis/her technical interviewskills on the go. To be asgeneral andaccessible as possible, wetried to make algorithmquestionslanguage agnostic.Most of the content came from two courses taughtatStanfordUniversity:- CS 161, Design and Analysis of Algorithms(cs161.stanford.edu).Iborrowed heavily from the notes compiled byMoorXu,http://stanford.edu/~moorxu/notes/161/161main.pdf.- CS 106B, Programming Abstractions (cs106b.stanford.edu).The106Bcourse reader was a valuable source of information.
