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DesignAadAnalysisSOfAlgorithmsUnit1 100%
DesignAadAnalysisSOfAlgorithmsUnit1 Design and Analysis of Algorithms 10CS43 UNIT – 1 INTRODUCTION 1.1 Notion of Algorithm Need for studying algorithms:
https://www.pdf-archive.com/2015/08/23/designaadanalysissofalgorithmsunit1/
23/08/2015 www.pdf-archive.com
UNIT-1 QB 99%
The fundamental steps are Understanding the problem Ascertain the capabilities of computational device Choose between exact and approximate problem solving Decide on appropriate data structures Algorithm design techniques Methods for specifying the algorithm Proving an algorithms correctness Analyzing an algorithm Coding an algorithm State the Euclid’s algorithm for finding GCD of two given numbers.
https://www.pdf-archive.com/2017/04/02/unit-1-qb/
02/04/2017 www.pdf-archive.com
2016 ESWA BioInspiredComputing 98%
www.elsevier.com/locate/eswa Bio inspired computing – A review of algorithms and scope of applications Arpan Kumar Kar∗ Information Systems area, DMS, Indian Institute of Technology Delhi, Hauz Khas, Outer Ring Road, New Delhi 110016 India a r t i c l e i n f o Article history:
https://www.pdf-archive.com/2016/05/23/2016-eswa-bioinspiredcomputing/
23/05/2016 www.pdf-archive.com
Comparison of modern heuristic algorithms for loss reduction in power distribution network equipped with renewable energy resources 98%
Comparison of modern heuristic algorithms for loss reduction in power distribution network equipped with renewable energy resources Ain Shams Engineering Journal xxx (xxxx) xxx Contents lists available at ScienceDirect Ain Shams Engineering Journal journal homepage:
https://www.pdf-archive.com/2018/11/20/untitled-pdf-document-3/
20/11/2018 www.pdf-archive.com
0B8FE792-4631-483A-B50A-6F3DFEC296C4 96%
Simple and practical bit-vector algorithms have been designed for this problem, most notably the one used in agrep.
https://www.pdf-archive.com/2017/12/15/0b8fe792-4631-483a-b50a-6f3dfec296c4/
15/12/2017 www.pdf-archive.com
22I16-IJAET0916945 v6 iss4 1639to1646 96%
Adaptive Genetic Algorithms (AGAs) have been built that dynamically adjust selected control parameters during the course of evolving a problem solution.
https://www.pdf-archive.com/2014/07/04/22i16-ijaet0916945-v6-iss4-1639to1646/
04/07/2014 www.pdf-archive.com
IJETR2151 95%
This paper presents the experimental analysis of the well-known two classification algorithms:
https://www.pdf-archive.com/2017/09/09/ijetr2151/
09/09/2017 www.pdf-archive.com
genetic algorithms paper 95%
genetic algorithms paper USIG GEETIC ALGORITHMS FOR TEST CASE GEERATIO AD SELECTIO OPTIMIZATIO Izzat Alsmadi Yarmouk University ABSTRACT Genetic Algorithms (GAs) are adaptive search techniques that imitate the processes of evolution to solve optimization problems when traditional methods are considered too costly in terms of processing time and output effectiveness.
https://www.pdf-archive.com/2011/09/08/genetic-algorithms-paper/
08/09/2011 www.pdf-archive.com
23I20-IJAET0520914 v7 iss2 488-494 95%
Science, Bharathiar University, Coimbatore, India 2 Vice Principal, KGISL Institute of Technology, KGISL campus, Coimbatore, India ABSTRACT Abstract - Clustering algorithms is a process of break up the data objects into numerous groups which is similar.
https://www.pdf-archive.com/2014/07/04/23i20-ijaet0520914-v7-iss2-488-494/
04/07/2014 www.pdf-archive.com
Formal Asymptotic Analysis of Online Scheduling Algorithms for Plug-In Electric Vehicles’ Charging 95%
Formal Asymptotic Analysis of Online Scheduling Algorithms for Plug In Electric Vehicles’ Charging energies Article Formal Asymptotic Analysis of Online Scheduling Algorithms for Plug-In Electric Vehicles’ Charging Asad Ahmed 1, *,† , Osman Hasan 1,† , Falah Awwad 2 , Nabil Bastaki 2 and Syed Rafay Hasan 3 1 2 3 * † School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), H-12 Islamabad, Pakistan;
https://www.pdf-archive.com/2018/12/22/untitled-pdf-document-36/
22/12/2018 www.pdf-archive.com
Google Has Added “Humming Bird” 95%
https://www.pdf-archive.com/2015/09/14/google-has-added-humming-bird/
14/09/2015 www.pdf-archive.com
DesignAadAnalysisSOfAlgorithmsSyllabus 95%
DesignAadAnalysisSOfAlgorithmsSyllabus DESIGN AND ANALYSIS OF ALGORITHMS (Common to CSE &
https://www.pdf-archive.com/2015/08/23/designaadanalysissofalgorithmssyllabus/
23/08/2015 www.pdf-archive.com
DesignAadAnalysisSOfAlgorithmsUnit5 95%
DesignAadAnalysisSOfAlgorithmsUnit5 Design and Analysis of Algorithms 10CS43 UNIT-5 DECREASE-AND-CONQUER APPROACHES, SPACE-TIMETRADEOFFS 5.1 Decrease and conquer :Introduction Decrease &
https://www.pdf-archive.com/2015/08/23/designaadanalysissofalgorithmsunit5/
23/08/2015 www.pdf-archive.com
19I18-IJAET0118627 v6 iss6 2480-2488 94%
In all communication algorithms we need the carrier.
https://www.pdf-archive.com/2014/07/04/19i18-ijaet0118627-v6-iss6-2480-2488/
04/07/2014 www.pdf-archive.com
MBtree paper 94%
Previous algorithms assume a constant quantizer in each frame and rely on impractically slow approaches, such as repeatedly encoding each frame dozens of times.
https://www.pdf-archive.com/2014/07/08/mbtree-paper/
08/07/2014 www.pdf-archive.com
BenRobertsEquityModel 94%
https://www.pdf-archive.com/2014/08/04/benrobertsequitymodel/
04/08/2014 www.pdf-archive.com
EM Algorithms 94%
EM Algorithms How Everyday Mathematics Uses Multiple Algorithms To Help Students Learn More Meaningful Math Everyday Mathematics is a structured, rigorous and proven program that helps students learn mathematical reasoning and develop strong math skills.
https://www.pdf-archive.com/2012/03/27/em-algorithms/
27/03/2012 www.pdf-archive.com
2B - R Code 93%
Refer to section 2 of Chapter 2 to learn about other algorithms for K-Means.
https://www.pdf-archive.com/2016/01/25/2b-r-code/
25/01/2016 www.pdf-archive.com
48N13-IJAET0313497 revised 92%
2231-1963 AN ENERGY EFFICIENT CONTROL STRATEGY FOR INDUCTION MACHINES BASED ON ADVANCED PARTICLE SWARM OPTIMISATION ALGORITHMS Duy C.
https://www.pdf-archive.com/2013/05/13/48n13-ijaet0313497-revised/
13/05/2013 www.pdf-archive.com
KMeansRE 92%
Introduction K-Means clustering is one of the most reliable unsupervised learning data mining algorithms used as a workaround to the famous clustering problem that had previously been considered to be noncomputational.
https://www.pdf-archive.com/2016/12/13/kmeansre/
13/12/2016 www.pdf-archive.com
An Improved Analytical Algorithm on Main Cable System of Suspension Bridge 92%
https://www.pdf-archive.com/2018/08/16/untitled-pdf-document-43/
16/08/2018 www.pdf-archive.com
IJETR2161 91%
In this work evolutionary neural networks (trained using evolutionary algorithms) are used for TSF, so that better forecast accuracy can be achieved.
https://www.pdf-archive.com/2017/09/09/ijetr2161/
09/09/2017 www.pdf-archive.com
IJETR2138 91%
Experiments show that the algorithm proposed in this paper is better than some similar algorithms if the target user's good friend information is enough.
https://www.pdf-archive.com/2017/09/09/ijetr2138/
09/09/2017 www.pdf-archive.com
JournalUniversalComputerScience 91%
In this work, we present our experience when developing the Matching Framework (MaF), a framework for matching ontologies that allows users to configure their own ontology matching algorithms and it allows developers to perform research on new complex algorithms.
https://www.pdf-archive.com/2017/08/24/journaluniversalcomputerscience/
24/08/2017 www.pdf-archive.com