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  • Search: subject:"polynomial approximation"
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Year of publication
Subject
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Polynomial approximation 7 polynomial approximation 5 Chebyshev nodes 4 Chebyshev polynomial approximation 4 Estimation theory 4 Schätztheorie 4 fully polynomial approximation schemes 4 European options 3 Theorie 3 (vanilla) European call and put options 2 Chebyshev Nodes 2 Chebyshev Polynomial Approximation 2 Cointegration 2 Comovement 2 Customer attrition 2 Data mining 2 Derived behavior information 2 European Options 2 Kointegration 2 Mathematical programming 2 Mathematische Optimierung 2 Nutzenfunktion 2 Orthogonal polynomial approximation 2 Regression analysis 2 Regressionsanalyse 2 Risk measurement 2 Theory 2 Time series analysis 2 Utility function 2 Zeitreihenanalyse 2 complexity bounds 2 convex optimization 2 global optimization 2 gradient methods 2 lot-sizing models 2 nonlinear optimization 2 nonlinear programming 2 optimal methods 2 polynomial-approximation algorithm 2 quadratic programming 2
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Online availability
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Undetermined 12 Free 11
Type of publication
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Article 16 Book / Working Paper 11
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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Undetermined 14 English 13
Author
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Cerrato, Mario 5 Caporale, Guglielmo Maria 4 Corazza, Marco 2 Fletcher, Mary 2 Loi, Andrea 2 Matta, Stefano 2 NESTEROV, Yu 2 Pan, Jiazhu 2 Paschos, Vangelis Th. 2 Scalco, Elisa 2 Studer, Gerold 2 Tang, Leilei 2 Alessandri, A. 1 Bhattacharya, A. 1 Bonnet, Édouard 1 Caporale, Guglielmo 1 Cassettari, L. 1 DEVOLDER, Olivier 1 Fahrenwaldt, Matthias 1 GLINEUR, François 1 Guo, Yu 1 Hasanov, Alemder 1 Hoesel, C.P.M. van 1 Li, Haiqi 1 Malliaris, A. 1 Malliaris, A.G. 1 Marshall, Andrew 1 Marshall, Andrew P. 1 Mosca, R. 1 Mosiño, Alejandro 1 NESTEROV, Yurii 1 Pektas, Burhan 1 Phillips, Peter C. B. 1 Thomas, Lyn 1 Thomas, Lyn C. 1 Wagelmans, A.P.M. 1 Wagelmans, Wagelmans, A.P.M. 1 Wang, Ying 1 Weber, Stefan 1 Weske, Kerstin 1
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Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 3 CESifo 1 Department of Economics, Adam Smith Business School 1 Dipartimento di Matematica Applicata, Università Ca' Foscari Venezia 1 Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1 Scottish Institute for Research in Economics (SIRE) 1
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Published in...
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CORE Discussion Papers 3 Computational Economics 3 4OR : a quarterly journal of operations research 1 Astin bulletin : the journal of the International Actuarial Association 1 CESifo Working Paper 1 CESifo Working Paper Series 1 Computational Management Science 1 Computational Statistics 1 Cowles Foundation discussion paper 1 Econometric Institute Report 1 Econometric Institute Research Papers 1 Economic theory bulletin 1 Economics letters 1 European Journal of Operational Research 1 European journal of operational research : EJOR 1 Journal of Applied Statistics 1 Mathematical Methods of Operations Research 1 Mathematics and Computers in Simulation (MATCOM) 1 RAIRO / Operations research 1 SIRE Discussion Papers 1 The B.E. journal of theoretical economics 1 Working Papers / Department of Economics, Adam Smith Business School 1 Working Papers / Dipartimento di Matematica Applicata, Università Ca' Foscari Venezia 1
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Source
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RePEc 18 ECONIS (ZBW) 8 EconStor 1
Showing 11 - 20 of 27
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Using Chebyshev Polynomials to Approximate Partial Differential Equations
Caporale, Guglielmo Maria; Cerrato, Mario - CESifo - 2008
This paper suggests a simple method based on a Chebyshev approximation at Chebyshev nodes to approximate partial differential equations. It consists in determining the value function by using a set of nodes and basis functions. We provide two examples: pricing a European option and determining...
Persistent link: https://www.econbiz.de/10005181525
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Assessing the impact of derived behavior information on customer attrition in the financial service industry
Tang, Leilei; Thomas, Lyn; Fletcher, Mary; Pan, Jiazhu; … - In: European Journal of Operational Research 236 (2014) 2, pp. 624-633
services industry and improve the prediction of customer attrition. To achieve this, we apply an orthogonal polynomial … approximation analysis to derive unobservable information, which is then used as explanatory variables in a probit–hazard rate model …
Persistent link: https://www.econbiz.de/10010871151
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Assessing the impact of derived behavior information on customer attrition in the financial service industry
Tang, Leilei; Thomas, Lyn C.; Fletcher, Mary; Pan, Jiazhu; … - In: European journal of operational research : EJOR 236 (2014) 2, pp. 624-633
Persistent link: https://www.econbiz.de/10010366718
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Nonlinear Bivariate Comovements of Asset Prices: Theory and Tests
Corazza, Marco; Malliaris, A.G.; Scalco, Elisa - Dipartimento di Matematica Applicata, Università Ca' … - 2006
relationship is detected, our approach solves for a polynomial approximation. We illustrate our threeÐsteps methodology to the time … series of energy related asset prices. Finally, we exploit this dependence relationship and its polynomial approximation to …
Persistent link: https://www.econbiz.de/10005076136
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Using Chebyshev Polynomials to Approximate Partial Differential Equations: A Reply
Mosiño, Alejandro - In: Computational Economics 39 (2012) 1, pp. 13-27
Persistent link: https://www.econbiz.de/10009401760
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Rounding of convex sets and efficient gradient methods for linear programming problems
NESTEROV, Yu - Center for Operations Research and Econometrics (CORE), … - 2004
In this paper we propose new efficient gradient schemes for two non-trivial classes of linear programming problems. These schemes are designed to compute approximate solutions withrelative accuracy . We prove that the upper complexity bound for both ln schemes is O( n m ln n) iterations of a...
Persistent link: https://www.econbiz.de/10005065280
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Unconstrained convex minimization in relative scale
NESTEROV, Yu - Center for Operations Research and Econometrics (CORE), … - 2003
In this paper we present a new approach to constructing schemes for unconstrained convex minimization, which compute approximate solutions with a certain relative accuracy. This approach is based on a special conic model of the unconstrained minimization problem. Using a structural model of the...
Persistent link: https://www.econbiz.de/10005043116
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Using Chebyshev Polynomials to Approximate Partial Differential Equations
Caporale, Guglielmo; Cerrato, Mario - In: Computational Economics 35 (2010) 3, pp. 235-244
Persistent link: https://www.econbiz.de/10008631212
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Estimating crop yield via Gaussian quadrature
Bhattacharya, A. - In: Journal of Applied Statistics 37 (2010) 8, pp. 1275-1281
The present study proposes a method to estimate the yield of a crop. The proposed Gaussian quadrature (GQ) method makes it possible to estimate the crop yield from a smaller subsample. Identification of plots and corresponding weights to be assigned to the yield of plots comprising a subsample...
Persistent link: https://www.econbiz.de/10008674963
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Nonlinear Bivariate Comovements of Asset Prices: Methodology, Tests and Applications
Corazza, Marco; Malliaris, A.; Scalco, Elisa - In: Computational Economics 35 (2010) 1, pp. 1-23
Persistent link: https://www.econbiz.de/10008458348
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