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  • Search: subject:"Nonlinear constraint"
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Year of publication
Subject
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Interpretation of Lagrange Multiplier 3 Maximization 3 Nonlinear Constraint 3 DNA sequence 2 Maximum likelihood 2 Multipel parameters 2 Nonlinear constraint 2 co-regulated genes 2 entropy 2 information content 2 mixture model 2 nonlinear constraint maximization 2 position weight matrix 2 regulatory motif 2 structured motif 2 transcription factor 2
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Online availability
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Free 5 Undetermined 2
Type of publication
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Article 4 Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 1
Language
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Undetermined 6 English 1
Author
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Moolio, Pahlaj 3 Dudoit, Sandrine 2 Eisen, Michael 2 Jansson, Leif 2 Keles, Sunduz 2 Laan, Mark van der 2 Mellander, Erik 2 Mohajan, Haradhan Kumar 2 NazrulIslam, Jamal 2 Xing, Biao 2 Islam, Jamal 1 Mohajan, Haradhan 1
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Institution
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Institutet för Näringslivsforskning (IFN) 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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KASBIT Journal of Management & Social Science 2 Statistical Applications in Genetics and Molecular Biology 2 IUI Working Paper 1 MPRA Paper 1 Working Paper Series / Institutet för Näringslivsforskning (IFN) 1
Source
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RePEc 6 EconStor 1
Showing 1 - 7 of 7
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Output Maximization Subject to a Nonlinear Constraint
Islam, Jamal; Mohajan, Haradhan; Moolio, Pahlaj - Volkswirtschaftliche Fakultät, … - 2011
Using method of Lagrange multipliers and applying first-order necessary conditions as well as second-order sufficient conditions for maximization, an attempt has been made to maximize an output of an agency subject to a nonlinear budget constraint by assuming that the agency gets price discounts...
Persistent link: https://www.econbiz.de/10011114500
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Output Maximization Subject to a Nonlinear Constraint
NazrulIslam, Jamal; Mohajan, Haradhan Kumar; Moolio, Pahlaj - In: KASBIT Journal of Management & Social Science 4 (2011) 1, pp. 116-128
The main aim of this paper is to derive the mathematical formulation to device an optimal purchasing policy for the service providing agency. An attempt has been made to maximize the output function of an agency subject to a nonlinear budget constraint by assuming that the agency gets price...
Persistent link: https://www.econbiz.de/10010638827
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Output Maximization Subject to a Nonlinear Constraint
NazrulIslam, Jamal; Mohajan, Haradhan Kumar; Moolio, Pahlaj - In: KASBIT Journal of Management & Social Science 4 (2011) December, pp. 116-128
The main aim of this paper is to derive the mathematical formulation to device an optimal purchasing policy for the service providing agency. An attempt has been made to maximize the output function of an agency subject to a nonlinear budget constraint by assuming that the agency gets price...
Persistent link: https://www.econbiz.de/10010640636
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Supervised Detection of Regulatory Motifs in DNA Sequences
Keles, Sunduz; Laan, Mark van der; Dudoit, Sandrine; … - In: Statistical Applications in Genetics and Molecular Biology 2 (2009) 1, pp. 5-5
extended model are estimated by maximum likelihood using a nonlinear constraint optimization method. Likelihood-based cross …
Persistent link: https://www.econbiz.de/10005046601
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Cover Image
Supervised Detection of Regulatory Motifs in DNA Sequences
Keles, Sunduz; Laan, Mark van der; Dudoit, Sandrine; … - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 5-5
extended model are estimated by maximum likelihood using a nonlinear constraint optimization method. Likelihood-based cross …
Persistent link: https://www.econbiz.de/10005246503
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Optimization under Nonlinear Constraints
Jansson, Leif; Mellander, Erik - 1982
In this paper a timesaving method is proposed for maximizing likelihood functions when the parameter space is subject to nonlinear constraints, expressible as second order polynomials. The suggested approach is especially attractive when dealing with systems with many parameters.
Persistent link: https://www.econbiz.de/10010335040
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Optimization under Nonlinear Constraints
Jansson, Leif; Mellander, Erik - Institutet för Näringslivsforskning (IFN) - 1982
In this paper a timesaving method is proposed for maximizing likelihood functions when the parameter space is subject to nonlinear constraints, expressible as second order polynomials. The suggested approach is especially attractive when dealing with systems with many parameters.
Persistent link: https://www.econbiz.de/10010818423
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