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  • Search: subject:"entropy optimization"
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Entropy Optimization Principles 2 Entropy optimization 2 Linear and Nonlinear Programming 2 Min-Max Problem 2 convex duality 2 nuclear magnetic resonance 2 spectral analysis 2 A priori evaluation 1 Chebyshev polynomials 1 Entropie 1 Entropy 1 Entropy Optimization 1 Entropy optimization problem 1 Existence theorem 1 Fenchel duality 1 Forecasting 1 Mathematical programming 1 Mathematische Optimierung 1 Newton's method 1 Regional Employment 1 Regional Labour Markets 1 Theorie 1 Theory 1 condition numbers 1 entropy optimization 1 optimal design of experiments 1 semidefinite programming 1
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Undetermined 6
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Article 7
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Article in journal 1 Aufsatz in Zeitschrift 1
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Undetermined 6 English 1
Author
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Maréchal, Pierre 3 Borwein, Jonathan M. 2 Fang, Shu-Cherng 2 Li, Xing-Si 2 Naugler, David 2 Blien, Uwe 1 Shamilov, Aladdin 1 Tassinopoulos, Alexandros 1 Ye, Jane J. 1 Zhou, Julie 1
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Computational Statistics 2 Mathematical Methods of Operations Research 2 Mathematics of operations research 1 Physica A: Statistical Mechanics and its Applications 1 Regional Studies 1
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RePEc 6 ECONIS (ZBW) 1
Showing 1 - 7 of 7
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K-optimal design via semidefinite programming and entropy optimization
Maréchal, Pierre; Ye, Jane J.; Zhou, Julie - In: Mathematics of operations research 40 (2015) 2, pp. 495-512
Persistent link: https://www.econbiz.de/10011283232
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Generalized entropy optimization problems and the existence of their solutions
Shamilov, Aladdin - In: Physica A: Statistical Mechanics and its Applications 382 (2007) 2, pp. 465-472
In the present study we have formulated a generalization of entropy optimization problems (GEOP), proposed sufficient …
Persistent link: https://www.econbiz.de/10010589554
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Forecasting Regional Employment with the ENTROP Method
Blien, Uwe; Tassinopoulos, Alexandros - In: Regional Studies 35 (2001) 2, pp. 113-124
The paper provides an outline of a method useful for forecasting problems. The approach is based on a combination of top-down and bottom-up techniques. It is applied to project employment in all 327 (western) German districts for a time span of two years. The most important step in the...
Persistent link: https://www.econbiz.de/10005458027
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A convex dual approach to the computation of NMR complex spectra
Borwein, Jonathan M.; Maréchal, Pierre; Naugler, David - In: Mathematical Methods of Operations Research 51 (2000) 1, pp. 91-102
The particular entropy method proposed by Hoch et al. [7] for the computation of NMR complex spectra allows an elegant application of the concepts of duality theory. Correspondingly, duality theory casts new light on their choice of entropy. The purpose of this paper is to present the relevant...
Persistent link: https://www.econbiz.de/10010950144
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A convex dual approach to the computation of NMR complex spectra
Borwein, Jonathan M.; Maréchal, Pierre; Naugler, David - In: Computational Statistics 51 (2000) 1, pp. 91-102
The particular entropy method proposed by Hoch et al. [7] for the computation of NMR complex spectra allows an elegant application of the concepts of duality theory. Correspondingly, duality theory casts new light on their choice of entropy. The purpose of this paper is to present the relevant...
Persistent link: https://www.econbiz.de/10010847730
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On the entropic regularization method for solving min-max problems with applications
Li, Xing-Si; Fang, Shu-Cherng - In: Mathematical Methods of Operations Research 46 (1997) 1, pp. 119-130
Consider a min-max problem in the form of min<Subscript> xεX </Subscript>max<Subscript>1≤i≤m </Subscript>{f <Subscript> i </Subscript>(x)}. It is well-known that the non-differentiability of the max functionF(x) ≡ max<Subscript>1≤i≤m </Subscript>{f <Subscript> i </Subscript>(x)} presents difficulty in finding an optimal solution. An entropic regularization procedure provides a smooth...</subscript></subscript></subscript></subscript></subscript>
Persistent link: https://www.econbiz.de/10010999852
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On the entropic regularization method for solving min-max problems with applications
Li, Xing-Si; Fang, Shu-Cherng - In: Computational Statistics 46 (1997) 1, pp. 119-130
Consider a min-max problem in the form of min xεX max 1≤i≤m {f i (x)}. It is well-known that the non-differentiability of the max functionF(x) ≡ max 1≤i≤m {f i (x)} presents difficulty in finding an optimal solution. An entropic regularization procedure provides a smooth...
Persistent link: https://www.econbiz.de/10010759440
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