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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 21 - 27 of 27
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Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison
Alessandri, A.; Cassettari, L.; Mosca, R. - In: Computational Management Science 6 (2009) 1, pp. 5-24
Persistent link: https://www.econbiz.de/10005596523
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Chebyshev polynomial approximation to approximate partial differential equations
Caporale, Guglielmo Maria; Cerrato, Mario - Scottish Institute for Research in Economics (SIRE) - 2008
This paper suggests a simple method based on Chebyshev approximation at Chebyshev nodes to approximate partial differential equations. The methodology simply consists in determining the value function by using a set of nodes and basis functions. We provide two examples. Pricing an European...
Persistent link: https://www.econbiz.de/10010552383
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Fully Polynomial Approximation Schemes for Single-Item Capacitated Economic Lot-Sizing Problems
van Hoesel, C.P.M.; Wagelmans, Wagelmans, A.P.M. - Faculteit der Economische Wetenschappen, Erasmus … - 1997
methods for these problems. To the best of our knowledge, until now no polynomial approximation method is known which produces … exist, by presenting an even stronger result: the existence of fully polynomial approximation schemes. The approximation …
Persistent link: https://www.econbiz.de/10010731698
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Fully Polynomial Approximation Schemes for Single-Item Capacitated Economic Lot-Sizing Problems
Hoesel, C.P.M. van; Wagelmans, A.P.M. - Erasmus University Rotterdam, Econometric Institute - 1997
methods for these problems. To the best of our knowledge, until now no polynomial approximation method is known which produces … exist, by presenting an even stronger result: the existence of fully polynomial approximation schemes. The approximation …
Persistent link: https://www.econbiz.de/10008584805
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Simulation of ill-conditioned situations in inverse coefficient problem for the Sturm–Liouville operator based on boundary measurements
Hasanov, Alemder; Pektas, Burhan - In: Mathematics and Computers in Simulation (MATCOM) 61 (2002) 1, pp. 47-52
The problem of determining the unknown coefficient k=k(x) of the Sturm–Liouville operator Au≡−(k(x)u′(x))′+q(x)u(x) from the measured data at the boundary x=0;1 is considered. It is assumed that the function u=u(x) has several singular points in (0,1) of different types. As a result...
Persistent link: https://www.econbiz.de/10011050297
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Risk measurement with maximum loss
Studer, Gerold - In: Computational Statistics 50 (1999) 1, pp. 121-134
Effective risk management requires adequate risk measurement. A basic problem herein is the quantification of market risks: what is the overall effect on a portfolio if market rates change? First, a mathematical problem statement is given and the concept of `Maximum Loss' (ML) is introduced as a...
Persistent link: https://www.econbiz.de/10010847869
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Risk measurement with maximum loss
Studer, Gerold - In: Mathematical Methods of Operations Research 50 (1999) 1, pp. 121-134
Effective risk management requires adequate risk measurement. A basic problem herein is the quantification of market risks: what is the overall effect on a portfolio if market rates change? First, a mathematical problem statement is given and the concept of `Maximum Loss' (ML) is introduced as a...
Persistent link: https://www.econbiz.de/10010950257
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