Soft Computing in Economics and Finance
Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reas...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Rhifyn: | 1st ed. 2011. |
| Cyfres: | Intelligent Systems Reference Library
6 |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Soft Computing in Economics and Finance, Texte imprimé, 9783642177187 • Soft Computing in Economics and Finance, Texte imprimé, 9783642423260 • Soft Computing in Economics and Finance, Texte imprimé, 9783642177187 • Soft Computing in Economics and Finance, Texte imprimé, 9783642177200 • Soft Computing in Economics and Finance, Texte imprimé, 9783642423260 • Soft Computing in Economics and Finance, Texte imprimé, 9783642177187 • Soft Computing in Economics and Finance, Texte imprimé, 9783642177200 |
Tabl Cynhwysion:
- Introduction Convex Probabilistic Wavelet like Approximation Bidimensional Constrained Wavelet like Approximation Multidimensional Probabilistic Scale Approximation Multidimensional probabilistic approximation in wavelet like structure.- About L-Positive Approximations: About Shape Preserving Weighted Uniform Approximation Jackson-Type Nonpositive Approximations for Definite Integrals.- Discrete Best L1 Approximation using the Gauges Way Quantitative Uniform Convergence of Smooth Picard Singular Integral Operators Global Smoothness and Simultaneous Approximation by Smooth Picard Singular Operators Convergence Results.- Approximation with Rates by Fractional Smooth Picard Singular Operators Multivariate Generalized Picard Singular Integral Operators Approximation by q-Gauss-Weierstrass Singular Integral Operators.- Quantitative Approximation by Univariate Shift-Invariant Integral Operators

