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Algorithms and Data Structures
(Englisch)
Manana Chumburidze

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Autor/Autorin: Chumburidze Manana

Dr.Manana Chumburidze has obtained PhD degree in Mathematics sciences in 1999. She is membership of the American Society of Mechanical Engineers and member of the Scientific and Technical Committee of Editorial Review Board on Mechanics and Computational Sciences in the WASET organization of USA.
Tutorials and Courses - Collection of technical and non technical, Free tutorials and reference manuals with examples.The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Über den Autor

Dr.Manana Chumburidze has obtained her PhD Degree in Physics-Mathematics Sciences in 1999. Since then she is the author of several articles in reputed journals and active participant different international conferences in the world academy of sciences, engineering and technology.


Klappentext

Tutorials and Courses - Collection of technical and non technical, Free tutorials and reference manuals with examples.The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).



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