Algorithms development for financial problems
A challenging task, spanning across various industries in the modern world, is to solve complex practical problems classified as NP-hard. NP-hard stands for Non deterministic Polynomial-time hard. It represents a class of problems that are computationally intractable, implying that it is overwhelmin...
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Format: | Final Year Project (FYP) |
Language: | English |
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2009
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Online Access: | http://hdl.handle.net/10356/18371 |
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author | Vasudevan Prabhakaran |
author2 | Lim Meng Hiot |
author_facet | Lim Meng Hiot Vasudevan Prabhakaran |
author_sort | Vasudevan Prabhakaran |
collection | NTU |
description | A challenging task, spanning across various industries in the modern world, is to solve complex practical problems classified as NP-hard. NP-hard stands for Non deterministic Polynomial-time hard. It represents a class of problems that are computationally intractable, implying that it is overwhelming to solve these problems within a traceable time period. The real challenge to solve such NP-Hard problems is in the algorithm front, to develop efficient algorithms that can be implemented within a limited time frame.
The project focuses on the algorithm development process with the intent of solving such NP hard problems using an application known as ADEP – Algorithm Development Environment for Problem Solving. ADEP is a patented technology developed at Intellisys, a collaboration between ST Dynamics and NTU. In this project, the focus would be the development of documentations and promotional video targeted at the programmers and system integrators. |
first_indexed | 2024-10-01T06:19:00Z |
format | Final Year Project (FYP) |
id | ntu-10356/18371 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:19:00Z |
publishDate | 2009 |
record_format | dspace |
spelling | ntu-10356/183712023-07-07T16:55:38Z Algorithms development for financial problems Vasudevan Prabhakaran Lim Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems A challenging task, spanning across various industries in the modern world, is to solve complex practical problems classified as NP-hard. NP-hard stands for Non deterministic Polynomial-time hard. It represents a class of problems that are computationally intractable, implying that it is overwhelming to solve these problems within a traceable time period. The real challenge to solve such NP-Hard problems is in the algorithm front, to develop efficient algorithms that can be implemented within a limited time frame. The project focuses on the algorithm development process with the intent of solving such NP hard problems using an application known as ADEP – Algorithm Development Environment for Problem Solving. ADEP is a patented technology developed at Intellisys, a collaboration between ST Dynamics and NTU. In this project, the focus would be the development of documentations and promotional video targeted at the programmers and system integrators. Bachelor of Engineering 2009-06-26T04:35:56Z 2009-06-26T04:35:56Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18371 en Nanyang Technological University 126 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Vasudevan Prabhakaran Algorithms development for financial problems |
title | Algorithms development for financial problems |
title_full | Algorithms development for financial problems |
title_fullStr | Algorithms development for financial problems |
title_full_unstemmed | Algorithms development for financial problems |
title_short | Algorithms development for financial problems |
title_sort | algorithms development for financial problems |
topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
url | http://hdl.handle.net/10356/18371 |
work_keys_str_mv | AT vasudevanprabhakaran algorithmsdevelopmentforfinancialproblems |