Gotowa bibliografia na temat „Entropy”
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Artykuły w czasopismach na temat "Entropy"
Siagian, Ruben Cornelius, Lulut Alfaris, Arip Nurahman i Eko Pramesti Sumarto. "TERMODINAMIKA LUBANG HITAM: HUKUM PERTAMA DAN KEDUA SERTA PERSAMAAN ENTROPI". Jurnal Kumparan Fisika 6, nr 1 (11.05.2023): 1–10. http://dx.doi.org/10.33369/jkf.6.1.1-10.
Pełny tekst źródłaKang, Jin-Wen, Ke-Ming Shen i Ben-Wei Zhang. "A Note on the Connection between Non-Additive Entropy and h-Derivative". Entropy 25, nr 6 (9.06.2023): 918. http://dx.doi.org/10.3390/e25060918.
Pełny tekst źródłaLi, Shu-Nan, i Bing-Yang Cao. "On Entropic Framework Based on Standard and Fractional Phonon Boltzmann Transport Equations". Entropy 21, nr 2 (21.02.2019): 204. http://dx.doi.org/10.3390/e21020204.
Pełny tekst źródłaKOSSAKOWSKI, A., M. OHYA i N. WATANABE. "QUANTUM DYNAMICAL ENTROPY FOR COMPLETELY POSITIVE MAP". Infinite Dimensional Analysis, Quantum Probability and Related Topics 02, nr 02 (czerwiec 1999): 267–82. http://dx.doi.org/10.1142/s021902579900014x.
Pełny tekst źródłaJawad, Abdul, i Ayesha Iqbal. "Modified cosmology through Renyi and logarithmic entropies". International Journal of Geometric Methods in Modern Physics 15, nr 08 (22.06.2018): 1850130. http://dx.doi.org/10.1142/s021988781850130x.
Pełny tekst źródłaXIAO, CHANGMING, i LIXIN HUANG. "ENTROPIC FORCE IN A CLOSED IDEAL GAS". Modern Physics Letters B 20, nr 09 (10.04.2006): 495–500. http://dx.doi.org/10.1142/s0217984906010731.
Pełny tekst źródłaSilva, Carlos, i Kalyan Annamalai. "Entropy Generation and Human Aging: Lifespan Entropy and Effect of Physical Activity Level". Entropy 10, nr 2 (20.06.2008): 100–123. http://dx.doi.org/10.3390/entropy-e10020100.
Pełny tekst źródłaZhao, Lina, Chengyu Liu, Shoushui Wei, Qin Shen, Fan Zhou i Jianqing Li. "A New Entropy-Based Atrial Fibrillation Detection Method for Scanning Wearable ECG Recordings". Entropy 20, nr 12 (26.11.2018): 904. http://dx.doi.org/10.3390/e20120904.
Pełny tekst źródłaIqbal, Ayesha, i Abdul Jawad. "Thermodynamics of Ricci-Gauss-Bonnet Dark Energy". Advances in High Energy Physics 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/6139430.
Pełny tekst źródłaKAYA, Mehmet Onur, Yunus GÜRAL i Mehmet GÜRCAN. "Entropy, Information and Entropy Correlation Coefficient". Turkiye Klinikleri Journal of Biostatistics 12, nr 1 (2020): 83–88. http://dx.doi.org/10.5336/biostatic.2020-74305.
Pełny tekst źródłaRozprawy doktorskie na temat "Entropy"
Bernier, Jobe Paul. "Entropy and Architecture entropic phenomena actuating dynamic space /". Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/bernier/BernierJ0508.pdf.
Pełny tekst źródłaSognnæs, Ida Andrea Braathen. "Maximum Entropy and Maximum Entropy Production in Macroecology". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12651.
Pełny tekst źródłaAsaad-Sultan, Asaad M. Abu. "Entropic vector optimization and simulated entropy : theory and applications". Thesis, University of Liverpool, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293838.
Pełny tekst źródłaCullen, Carley Nicole. "Empathy + entropy". Thesis, University of Iowa, 2019. https://ir.uiowa.edu/etd/6721.
Pełny tekst źródłaŠelinga, Martin. "Software pro hodnocení zdrojů entropie". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401953.
Pełny tekst źródłaMendes, Ronã Rinston Amaury [UNESP]. "Uma contribuição para a otimização de portfólios de séries heteroscedásticas usando projeto de experimento de misturas: uma abordagem do desirability aplicada a modelos". Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/103053.
Pełny tekst źródłaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Esta tese apresenta uma proposta inovadora com base no DOE (Design of Experiments) para tratar a otimização de portfólios multiobjetivos utilizando uma abordagem híbrida que combina arranjos de experimentos do tipo Misturas (Mixture Design of Experiments – MDE) e funções Desirability para se encontrar um portfólio ótimo modelado pelo algoritmo ARMA–GARCH. Neste tipo de estratégia experimental, as proporções investidas em cada ativo do portfólio são tratadas como fatores de um arranjo de misturas adequado para o tratamento de portfólios em geral. Ao invés de utilizar a tradicional programação matemática de portfólios de média variância (MVP), o conceito da função desirability é aqui utilizado para resolver problemas de otimização não linear multiobjetiva para a predição de valores condicionais de retorno (média), risco (variância) e entropia com suas respectivas superfícies de resposta estimadas pelo MDE. Para evitar a falta de diversificação dos portfólios, o princípio da Máxima Entropia de Shannon é incorporado ao modelo de otimização. O método fatorial de ajuste da função desirability proposto nesta tese aperfeiçoa o desempenho do algoritmo desirability conduzindo a uma eficiente alocação dos ativos no portfólio. Esta abordagem também permite a inclusão da aversão ao risco na rotina de otimização e engloba as interações (efeitos não lineares) dos efeitos entre diversos ativos enquanto reduz o esforço computacional requerido para resolver o problema de otimização não linear restrito. Para avaliar a viabilidade proposta, o método foi testado com dados reais de séries semanais do mercado mundial de preços spot de petróleo bruto. Os resultados numéricos demonstram a adequação da proposta
This thesis presents a new Design of Experiments (DOE)–based approach to treat multi– objective portfolio optimization combining Mixture Design of Experiments (MDE) and Desirability functions to find an optimal portfolio modeled by ARMA–GARCH algorithm. In this kind of experimental strategy, the design factors are treated as proportions in a mixture system considered quite adequate for treating portfolios in general. Instead of using traditional MVP mathematical programming, the concept of desirability function is here used to solve multiobjective nonlinear objective optimization problem for the predicted conditional values of return (mean), risk (variance) and entropy with their respective response surfaces estimated by MDE. To avoid the portfolio’s lack of diversity, the principle of Shannon’s maximum entropy is embodied in the optimization model. The computer–aided desirability tuning method proposed in this paper improves the desirability algorithm performance leading to an efficient assets allocation. This approach also allows the inclusion of risk aversion in the optimization routine and encompasses the interaction (nonlinear) effects among the several assets while reduces the computational effort required to solve the constrained nonlinear optimization problem. To assess the proposal feasibility, the method is tested with a real data set formed by weekly world crude oil spot prices. The numerical results verify the proposal’s adequacy
Mendes, Ronã Rinston Amaury. "Uma contribuição para a otimização de portfólios de séries heteroscedásticas usando projeto de experimento de misturas: uma abordagem do desirability aplicada a modelos /". Guaratinguetá : [s.n.], 2012. http://hdl.handle.net/11449/103053.
Pełny tekst źródłaCoorientador: Pedro Paulo Balestrassi
Banca: Marcela Aparecida Guerreira Machado de Freitas
Banca: Antonio Fernando Branco Costa
Banca: Rafael Coradi Leme
Banca: João Roberto Ferreira
Resumo: Esta tese apresenta uma proposta inovadora com base no DOE (Design of Experiments) para tratar a otimização de portfólios multiobjetivos utilizando uma abordagem híbrida que combina arranjos de experimentos do tipo Misturas (Mixture Design of Experiments - MDE) e funções Desirability para se encontrar um portfólio ótimo modelado pelo algoritmo ARMA-GARCH. Neste tipo de estratégia experimental, as proporções investidas em cada ativo do portfólio são tratadas como fatores de um arranjo de misturas adequado para o tratamento de portfólios em geral. Ao invés de utilizar a tradicional programação matemática de portfólios de média variância (MVP), o conceito da função desirability é aqui utilizado para resolver problemas de otimização não linear multiobjetiva para a predição de valores condicionais de retorno (média), risco (variância) e entropia com suas respectivas superfícies de resposta estimadas pelo MDE. Para evitar a falta de diversificação dos portfólios, o princípio da Máxima Entropia de Shannon é incorporado ao modelo de otimização. O método fatorial de ajuste da função desirability proposto nesta tese aperfeiçoa o desempenho do algoritmo desirability conduzindo a uma eficiente alocação dos ativos no portfólio. Esta abordagem também permite a inclusão da aversão ao risco na rotina de otimização e engloba as interações (efeitos não lineares) dos efeitos entre diversos ativos enquanto reduz o esforço computacional requerido para resolver o problema de otimização não linear restrito. Para avaliar a viabilidade proposta, o método foi testado com dados reais de séries semanais do mercado mundial de preços spot de petróleo bruto. Os resultados numéricos demonstram a adequação da proposta
Abstract: This thesis presents a new Design of Experiments (DOE)-based approach to treat multi- objective portfolio optimization combining Mixture Design of Experiments (MDE) and Desirability functions to find an optimal portfolio modeled by ARMA-GARCH algorithm. In this kind of experimental strategy, the design factors are treated as proportions in a mixture system considered quite adequate for treating portfolios in general. Instead of using traditional MVP mathematical programming, the concept of desirability function is here used to solve multiobjective nonlinear objective optimization problem for the predicted conditional values of return (mean), risk (variance) and entropy with their respective response surfaces estimated by MDE. To avoid the portfolio's lack of diversity, the principle of Shannon's maximum entropy is embodied in the optimization model. The computer-aided desirability tuning method proposed in this paper improves the desirability algorithm performance leading to an efficient assets allocation. This approach also allows the inclusion of risk aversion in the optimization routine and encompasses the interaction (nonlinear) effects among the several assets while reduces the computational effort required to solve the constrained nonlinear optimization problem. To assess the proposal feasibility, the method is tested with a real data set formed by weekly world crude oil spot prices. The numerical results verify the proposal's adequacy
Doutor
Pougaza, Doriano-Boris. "Utilisation de la notion de copule en tomographie". Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00684637.
Pełny tekst źródłaNilsson, Mattias. "Entropy and Speech". Doctoral thesis, Stockholm : Sound and Image Processing Laboratory, School of Electrical Engineering, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3990.
Pełny tekst źródłaCharter, Mark Keith. "Maximum entropy pharmacokinetics". Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316691.
Pełny tekst źródłaKsiążki na temat "Entropy"
Ivanovici, Andreea Livia. Entropie, volatilitate: Entropy, volatility. Bucureşti: Editura Fundaţiei Arhitext Design, 2014.
Znajdź pełny tekst źródłaS, Shiner J., red. Entropy and entropy generation: Fundamentals and applications. Dordrecht: Kluwer, 1996.
Znajdź pełny tekst źródłaShiner, J. S., red. Entropy and Entropy Generation. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/0-306-46932-4.
Pełny tekst źródła1953-, Greven Andreas, Keller Gerhard 1954- i Warnecke Gerald 1956-, red. Entropy. Princeton, N.J: Princeton University Press, 2003.
Znajdź pełny tekst źródłaill, Dunbar Max, red. Micronauts: Entropy. San Diego, CA: Idea & Design Works, LLC, 2016.
Znajdź pełny tekst źródłaBryant, John. Entropy man. Harpenden, Herts, UK: VOCAT International Ltd, 2015.
Znajdź pełny tekst źródłaRifkin, Jeremy. Entropy: A new world view. London: Paladin, 1985.
Znajdź pełny tekst źródłaRifkin, Jeremy. Entropy: Into the greenhouse world. New York: Bantam Books, 1989.
Znajdź pełny tekst źródłaScherer, Leopoldo García Colín. De la máquina de vapor al cero absoluto: Calor y entropía. Wyd. 3. México: SEP, 2003.
Znajdź pełny tekst źródłaKarmeshu, red. Entropy Measures, Maximum Entropy Principle and Emerging Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36212-8.
Pełny tekst źródłaCzęści książek na temat "Entropy"
Herwig, Heinz. "Entropie S * (entropy S *)". W Wärmeübertragung A-Z, 43–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-56940-1_10.
Pełny tekst źródłaLandsberg, P. T., A. De Vos, P. Baruch i J. E. Parrott. "Multiple Source Photovoltaics". W Entropy and Entropy Generation, 175–95. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/0-306-46932-4_12.
Pełny tekst źródłaJones, Gareth A., i J. Mary Jones. "Entropy". W Springer Undergraduate Mathematics Series, 35–53. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0361-5_3.
Pełny tekst źródłaMoses, Carl O. "Entropy". W Encyclopedia of Earth Sciences Series, 1–6. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39193-9_40-1.
Pełny tekst źródłaMoses, Carl O. "Entropy". W Encyclopedia of Earth Sciences Series, 447–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-39312-4_40.
Pełny tekst źródłaSprackling, Michael. "Entropy". W Heat and Thermodynamics, 61–81. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-12690-3_6.
Pełny tekst źródłaSprackling, Michael. "Entropy". W Thermal physics, 97–116. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21377-1_8.
Pełny tekst źródłaCoudène, Yves. "Entropy". W Universitext, 101–12. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7287-1_10.
Pełny tekst źródłaIordache, Octavian. "Entropy". W Understanding Complex Systems, 125–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17946-4_8.
Pełny tekst źródłaDing, Jiu, i Aihui Zhou. "Entropy". W Tsinghua University Texts, 172–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85367-1_8.
Pełny tekst źródłaStreszczenia konferencji na temat "Entropy"
Kocaoglu, Murat, Alexandros G. Dimakis, Sriram Vishwanath i Babak Hassibi. "Entropic Causality and Greedy Minimum Entropy Coupling". W 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006772.
Pełny tekst źródłaLi, Jiange, Arnaud Marsiglietti i James Melbourne. "Entropic Central Limit Theorem for Rényi Entropy". W 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849533.
Pełny tekst źródłaMan'ko, Margarita A., Guillaume Adenier, Andrei Yu Khrennikov, Pekka Lahti, Vladimir I. Man'ko i Theo M. Nieuwenhuizen. "Tomographic Entropy and New Entropic Uncertainty Relations". W Quantum Theory. AIP, 2007. http://dx.doi.org/10.1063/1.2827295.
Pełny tekst źródłaHermenier, Fabien, Xavier Lorca, Jean-Marc Menaud, Gilles Muller i Julia Lawall. "Entropy". W the 2009 ACM SIGPLAN/SIGOPS international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1508293.1508300.
Pełny tekst źródłaStenholm, Stig. "When is an Entropy an Entropy?" W QUANTUM THEORY: Reconsideration of Foundations - 3. AIP, 2006. http://dx.doi.org/10.1063/1.2158728.
Pełny tekst źródłaArias, Cesar, Felipe Diaz i Per Sundell. "Gibbons–Hawking entropy as entanglement entropy". W PROCEEDINGS OF THE 23RD INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5130124.
Pełny tekst źródłaZhang, Hong, i Sha-sha He. "Analysis and Comparison of Permutation Entropy, Approximate Entropy and Sample Entropy". W 2018 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2018. http://dx.doi.org/10.1109/is3c.2018.00060.
Pełny tekst źródłaGutierrez, Rafael M., Chandrashekhar U. Murade, Jianfeng Guo i George Shubeita. "Entropy and entropic forces to model biological fluids". W Entropy 2021: The Scientific Tool of the 21st Century. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/entropy2021-09781.
Pełny tekst źródłaXiang, Gang, i Vladik Kreinovich. "Extending maximum entropy techniques to entropy constraints". W NAFIPS 2010 - 2010 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2010. http://dx.doi.org/10.1109/nafips.2010.5548264.
Pełny tekst źródłaNieto-Chaupis, Huber. "The Tsallis Entropy as a Social Entropy". W 2019 IEEE 1st Sustainable Cities Latin America Conference (SCLA). IEEE, 2019. http://dx.doi.org/10.1109/scla.2019.8905535.
Pełny tekst źródłaRaporty organizacyjne na temat "Entropy"
Xu, X., S. Kini, P. Psenak, C. Filsfils, S. Litkowski i M. Bocci. Signaling Entropy Label Capability and Entropy Readable Label Depth Using OSPF. RFC Editor, sierpień 2021. http://dx.doi.org/10.17487/rfc9089.
Pełny tekst źródłaJaegar, Stefan. Entropy, Perception, and Relativity. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2006. http://dx.doi.org/10.21236/ada453569.
Pełny tekst źródłaDrost, M. K., i M. D. White. Local entropy generation analysis. Office of Scientific and Technical Information (OSTI), luty 1991. http://dx.doi.org/10.2172/6078657.
Pełny tekst źródłaVu, Vincent Q., Bin Yu i Robert E. Kass. Coverage Adjusted Entropy Estimation. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2007. http://dx.doi.org/10.21236/ada472999.
Pełny tekst źródłaXu, X., S. Kini, P. Psenak, C. Filsfils, S. Litkowski i M. Bocci. Signaling Entropy Label Capability and Entropy Readable Label Depth Using IS-IS. RFC Editor, sierpień 2021. http://dx.doi.org/10.17487/rfc9088.
Pełny tekst źródłaBalachandran, A. P., L. Chandar i A. Momen. Edge states and entanglement entropy. Office of Scientific and Technical Information (OSTI), luty 1996. http://dx.doi.org/10.2172/212697.
Pełny tekst źródłaMelendez, Eduardo. Steganography Detection Using Entropy Measures. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2012. http://dx.doi.org/10.21236/ada586643.
Pełny tekst źródłaMelendez, Eduardo. Steganography Detection Using Entropy Measures. Fort Belvoir, VA: Defense Technical Information Center, listopad 2012. http://dx.doi.org/10.21236/ada622733.
Pełny tekst źródłaLinville, Lisa M., Joshua James Michalenko i Dylan Zachary Anderson. Multimodal Data Fusion via Entropy Minimization. Office of Scientific and Technical Information (OSTI), marzec 2020. http://dx.doi.org/10.2172/1614682.
Pełny tekst źródłaCordwell, William. Entropy Approximation Formula for Hamming Weights. Office of Scientific and Technical Information (OSTI), czerwiec 2016. http://dx.doi.org/10.2172/1646969.
Pełny tekst źródła