Relevant bibliographies by topics / Global convergence property

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Academic literature on the topic 'Global convergence property'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Global convergence property"

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Kim, Sun Kuk. "GLOBAL CONVERGENCE IN CONSTRUCTION." International Journal of Strategic Property Management 14, no. 2 (2010): 87–88. http://dx.doi.org/10.3846/ijspm.2010.07.

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Jin-kui, Liu, Zou Li-min, and Song Xiao-qian. "Global Convergence of a Nonlinear Conjugate Gradient Method." Mathematical Problems in Engineering 2011 (2011): 1–22. http://dx.doi.org/10.1155/2011/463087.

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A modified PRP nonlinear conjugate gradient method to solve unconstrained optimization problems is proposed. The important property of the proposed method is that the sufficient descent property is guaranteed independent of any line search. By the use of the Wolfe line search, the global convergence of the proposed method is established for nonconvex minimization. Numerical results show that the proposed method is effective and promising by comparing with the VPRP, CG-DESCENT, and DL+methods.
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Wang, Changyu, and Yuzhong Zhang. "Global convergence property ofs-dependent GFR conjugate gradient method." Chinese Science Bulletin 43, no. 23 (1998): 1959–65. http://dx.doi.org/10.1007/bf03186984.

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Bi, Yingjie, Haixiang Zhang, and Javad Lavaei. "Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (2022): 10129–37. http://dx.doi.org/10.1609/aaai.v36i9.21252.

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We study the convergence rate of gradient-based local search methods for solving low-rank matrix recovery problems with general objectives in both symmetric and asymmetric cases, under the assumption of the restricted isometry property. First, we develop a new technique to verify the Polyak-Lojasiewicz inequality in a neighborhood of the global minimizers, which leads to a local linear convergence region for the gradient descent method. Second, based on the local convergence result and a sharp strict saddle property proven in this paper, we present two new conditions that guarantee the global
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Basim, A. Hassan, O. Dahawi Hussein, and S. Younus Azzam. "A new kind of parameter conjugate gradient for unconstrained optimization." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 1 (2020): 404–11. https://doi.org/10.11591/ijeecs.v17.i1.pp404-411.

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The key feature for conjugate gradient methods is a conjugate parameter optimal for solving unrestrained minimization functions. In this paper, a replacement new parameter conjugate gradient for unconstrained optimization. The sufficient descent property cleave to. The global convergence property of the new method is proved under some assumptions. Numerical results explain that the new parameter is superior in practice.
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Sekiguchi, Masaki, Emiko Ishiwata, and Yukihiko Nakata. "Convergence of a Logistic Type Ultradiscrete Model." Discrete Dynamics in Nature and Society 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/7893049.

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We derive a piecewise linear difference equation from logistic equations with time delay by ultradiscretization. The logistic equation that we consider in this paper has been shown to be globally stable in the continuous and discrete time formulations. Here, we study if ultradiscretization preserves the global stability property, analyzing the asymptotic behaviour of the obtained piecewise linear difference equation. It is shown that our piecewise linear difference equation has a threshold property concerning global attractivity of equilibria, similar to the stable logistic equations with time
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SHI, ZHEN-JUN, and JIE SHEN. "CONVERGENCE PROPERTY AND MODIFICATIONS OF A MEMORY GRADIENT METHOD." Asia-Pacific Journal of Operational Research 22, no. 04 (2005): 463–77. http://dx.doi.org/10.1142/s0217595905000625.

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We study properties of a modified memory gradient method, including the global convergence and rate of convergence. Numerical results show that modified memory gradient methods are effective in solving large-scale minimization problems.
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Qian, Weiyi, and Haijuan Cui. "A New Method with Sufficient Descent Property for Unconstrained Optimization." Abstract and Applied Analysis 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/940120.

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Recently, sufficient descent property plays an important role in the global convergence analysis of some iterative methods. In this paper, we propose a new iterative method for solving unconstrained optimization problems. This method provides a sufficient descent direction for objective function. Moreover, the global convergence of the proposed method is established under some appropriate conditions. We also report some numerical results and compare the performance of the proposed method with some existing methods. Numerical results indicate that the presented method is efficient.
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Wang, Hong Tao. "The Study on Neural Network Intelligent Method Based on Genetic Algorithm." Advanced Materials Research 271-273 (July 2011): 546–51. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.546.

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The paper gives the hybrid computational intelligence learning algorithm with global convergence, which is combined by BP algorithm and genetic algorithm. This algorithm connects the strengths of the BP algorithm and genetic algorithms. It not only has faster convergence, but also has a good global convergence property. The computer simulation results show that the hybrid algorithm is significantly better than the genetic algorithm and BP algorithm.
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Hassan, Basim A., Ahmed O. Owaid, and Zena T. Yasen. "A variant of hybrid conjugate gradient methods based on the convex combination for optimization." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 1007–15. https://doi.org/10.11591/ijeecs.v20.i2.pp1007-1015.

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On some studies a conjugate parameter plays an important role for the conjugate gradient methods. In this paper, a variant of hybrid is provided in the search direction based on the convex combination. This search direction ensures that the descent condition holds. The global convergence of the variant of hybrid is also obtained. Our strong evidence is a numerical analysis showing that the proposed variant of hybrid method is efficient than the Hestenes and Stiefel method.
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Books on the topic "Global convergence property"

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Weatherall, Kimberlee. The Emergence and Development of Intellectual Property Law in Australia and New Zealand. Edited by Rochelle Dreyfuss and Justine Pila. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758457.013.17.

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This chapter provides both an overview of the history of intellectual property (IP) laws in Australia and New Zealand, and pathways into existing and emerging scholarship in this area. It discusses convergence and divergence in copyright, patent and trademark legislation and case law between Britain and these two former colonies, from early colonial experimentation to the long period of closely mirroring UK reforms. In the late twentieth century, both countries developed more distinctive IP laws, and diverged on a range of fundamental questions. In the twenty-first century, trade policy—trans-
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Jin, Dal Yong. Global Penetration of Korea’s Smartphones in the Social Media Era. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039973.003.0008.

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This chapter analyzes several distinctive elements of the digital Korean Wave with the case of smartphones, compared to the mobile era until 2008. Here, the digital Korean Wave refers to the rapid growth of digital technologies, in particular smartphones, and the export of domestic-made smartphones to the global markets as part of the growth of the New Korean Wave. However, the digital wave also means the convergence of technology and culture in order to boost the rapid penetration of cultural genres, such as animation and K-pop in the global markets. It is connected to the significance of sev
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Book chapters on the topic "Global convergence property"

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Tatsumi, Keiji, Tetsuzo Tanino, and Masao Fukushima. "Global Convergence Property of Error Back-Propagation Method for Recurrent Neural Networks." In Operations Research/Management Science at Work. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0819-9_15.

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Omeradzic, Amir, and Hans-Georg Beyer. "Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14721-0_35.

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AbstractA first order progress rate is derived for the intermediate multi-recombinative Evolution Strategy $$(\mu /\mu _I, \lambda )$$ ( μ / μ I , λ ) -ES on the highly multimodal Rastrigin test function. The progress is derived within a linearized model applying the method of so-called noisy order statistics. To this end, the mutation-induced variance of the Rastrigin function is determined. The obtained progress approximation is compared to simulations and yields strengths and limitations depending on mutation strength and distance to the optimizer. Furthermore, the progress is iterated usin
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Shaorui, Zhou, Cai Ming, and Zhuo Xiaopo. "Approximate Dynamic Programming: An Efficient Machine Learning Algorithm." In Artificial Intelligence. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106691.

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We propose an efficient machine learning algorithm for two-stage stochastic programs. This machine learning algorithm is termed as projected stochastic hybrid learning algorithm, and consists of stochastic sub-gradient and piecewise linear approximation methods. We use the stochastic sub-gradient and sample information to update the piecewise linear approximation on the objective function. Then we introduce a projection step, which implemented the sub-gradient methods, to jump out from a local optimum, so that we can achieve a global optimum. By the innovative projection step, we show the conv
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Jaag Christian. "Intellectual Property Rights and the Future of Universal Service Obligations in Communications." In Global E-Governance Series. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-395-7-156.

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Network industries are traditionally strongly influenced by sectorspecific regulation, of which universal service obligations (USO) play a particularly important role. In these sectors, USO impact market forces by shaping competition asymmetrically. They also interfere with other regulations, such as intellectual property laws, which are of increasing importance in these industries. This interaction has become of interest in the postal sector due to its recent convergence with telecommunications and the emergence of innovative services at the interface of the two sectors. In free markets, the
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Bäck, Thomas. "Summary and Outlook." In Evolutionary Algorithms in Theory and Practice. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099713.003.0014.

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Within the total of seven chapters presented here on the topic of Evolutionary Algorithms there are a number of crude but nevertheless powerful simplifications of the model of organic evolution. Chapter 1 clarified that Evolutionary Algorithms, if they are interpreted as global optimization algorithms, are not to be confused with the oversimplified concept of uniform random search. Instead, they rely on keeping the history insofar as the subsequent generation is created at each step of the evolution process from the current generation maintained by the algorithm. In other words: Evolutionary A
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Ghose, Anuttama, S. M. Aamir Ali, and Aayush Mayank Mishra. "Artistic Expressions, Generative AI, and Legal Tapestry." In Advances in Media, Entertainment, and the Arts. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1950-5.ch011.

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This study delves into the transformative impact of generative artificial intelligence (AI) on creative production, exploring the collaborative efforts of artists and cutting-edge technology. The convergence of human ingenuity and AI in artistic expression expands creative boundaries but introduces complex intellectual property (IP) challenges. Examining beyond visual art, the study reveals the intricate engagement between humans and advanced algorithms, offering a unique perspective on the creative process. The intersection of AI and creativity raises critical copyright concerns, challenging
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Goodfellow, Tom. "Politics and the urban frontier." In Politics and the Urban Frontier. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198853107.003.0009.

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Abstract This concluding chapter revisits the questions of capitalist globalization and late urbanization and their relationship to convergence and divergence in the region’s urban trajectories, before reviewing the main findings of the book. Drawing across the book’s analytical framework, the chapter examines the relationship between associational and infrastructural power, and how these intersect with strategies of legitimation, infrastructural practices, and modalities of political informality to shape both urban physical transformation and the nature of urban political dissent. The chapter
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Wu, Liangda, Xingshang Wang, Kewei Chen, Yongfei Feng, and Fangyan Dong. "Research on Control System of Upper Limb Rehabilitation Training Based on Reinforcement Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221054.

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Aiming at the problems existing in traditional upper limb rehabilitation training, such as low rehabilitation efficiency, single and passive training methods, etc. Deep reinforcement learning can provide a better trajectory planning scheme for the upper limb rehabilitation robot working in multi-dynamic environment. It can make more efficient and active rehabilitation training plan for rehabilitation patients. In the actual rehabilitation training, it is necessary to smooth the motion track without mutation and avoid the singular region. In this paper, DDPG deep learning reinforcement learning
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Wu, Zelin, Yimin Jiang, Yutong Ding, Ying Zhu, Zhen Chen, and Tangbin Xia. "Fault Diagnosis of Piston Pump Based on Inception-LSTM Model with ECA Module." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2024. http://dx.doi.org/10.3233/saem240032.

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As the global industry continues to develop towards digitalization and intelligence, fault diagnosis has gradually become an important guarantee for the stability of equipment. It is a significant measure to avoid major safety accidents as well as property losses. The piston pump plays a very important role in petrochemical, aerospace, civil engineering, and other fields, so its reliability and safety are crucial. Some machine learning methods have been used in piston pump fault diagnosis, but the datasets in the real world often suffer from data imbalance problems. Besides, there could be com
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Donzé, Pierre-Yves, and Julia S. Yongue. "The Role of Foreign Companies (1895–1930)." In Japanese Capitalism and Entrepreneurship. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780192887474.003.0006.

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Abstract Chapter 5 covers the role of foreign firms in Japanese economic and social development. Foreign companies were barred from doing business outside the port cities until the 1890s. However, it became necessary to allow them to enter the market in exchange for access to the technologies that had ushered in the second industrial revolution. Chapter 5 examines Japan’s decision to join two major global institutions: the Gold Standard and Paris Convention on Intellectual Property as a means of attracting foreign companies. It also provides a general overview of the foreign companies that inv
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Conference papers on the topic "Global convergence property"

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Chang, Yong J., and Mary Ann Ingram. "Convergence Property of Transmit Time Pre-Synchronization for Concurrent Cooperative Communication." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684046.

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Lin, Hong-Chin, Tsung-Chieh Lin, and KwangHae H. Yae. "The Skew-Symmetric Property of the Newton-Euler Formulation for Constrained Multibody Systems." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1476.

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Abstract This paper proposes a special form of the recursive Newton-Euler formulation that satisfies the skew-symmetric property, which is a necessary condition to ensure global convergence in a class of regressor-based identification and adaptive control (Slotine, 1987a & 1987b; Craig, 1987). For general multibody systems, such a special form has been developed in a reduced Euler-Lagrange formulation, but not in the Newton-Euler formulation, which has been very popular in the computational analysis of large scale systems. The paper successfully constructs a pair of inertia and Coriolis-ce
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Oghuvwu, Victor. "Enhancing Resource Sharing Through Digital Knowledge Accessibility in the Modern Era in Developing Countries." In Global to Local: Diversity & Inclusiveness in Resource Sharing. http://creativecommons.org/licenses/by/4.0, 2024. https://doi.org/10.60119/ppco7485.

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In the contemporary digital era, the convergence of technology and knowledge accessibility has the potential to reshape resource sharing dynamics, particularly in developing countries. Developing countries face a unique set of challenges, including limited infrastructure, constrained financial resources, limited expertise, lack of training and diverse linguistic landscapes. This abstract will scrutinize how these challenges can be addressed through the strategic implementation of digital knowledge accessibility initiatives. The discussion will encompass the role of open-access repositories, co
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Wu, K., and W. D. Zhu. "A New Global Spatial Discretization Method for Two-Dimensional Continuous Systems." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68297.

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A new global spatial discretization method is developed to accurately calculate natural frequencies and dynamic responses of two-dimensional continuous systems such as membranes and Kirchhoff plates. The transverse displacement of a two-dimensional continuous system is separated into a two-dimensional internal term and a two-dimensional boundary-induced term; the latter is interpolated from one-dimensional boundary functions that are further divided into one-dimensional internal terms and one-dimensional boundary-induced terms. The two- and one-dimensional internal terms are chosen to satisfy
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Sun, Lu, Canh Hao Nguyen, and Hiroshi Mamitsuka. "Fast and Robust Multi-View Multi-Task Learning via Group Sparsity." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/485.

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Multi-view multi-task learning has recently attracted more and more attention due to its dual-heterogeneity, i.e.,each task has heterogeneous features from multiple views, and probably correlates with other tasks via common views.Existing methods usually suffer from three problems: 1) lack the ability to eliminate noisy features, 2) hold a strict assumption on view consistency and 3) ignore the possible existence of task-view outliers.To overcome these limitations, we propose a robust method with joint group-sparsity by decomposing feature parameters into a sum of two components,in which one s
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Zhang, Fuli, Olga Brezhneva, and Amit Shukla. "Optimal Sensor Placement Using Chaotic Monkey Search Algorithm." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46863.

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The optimal sensor placement (OSP) problem is integral to modern large scale structures for their health monitoring. Evolutionary algorithms for the OSP problem are attractive as they can result in global optima without gradient information. In this paper, a modification of the Monkey Algorithm with a chaotic search strategy and adaptive parameters is proposed. It includes chaotic initialization, variable search step length, and adaptive watching time. The performance of the proposed chaotic Monkey Algorithm (cMA) is compared with the original Monkey Algorithm. Convergence property of cMA is e
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Mathur, Sanjay R., and Jayathi Y. Murthy. "An Acceleration Technique for the Computation of Participating Radiative Heat Transfer." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12923.

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It is known that the finite volume and discrete ordinates methods for computing participating radiation are slow to converge when the optical thickness of the medium becomes large. This is a result of the sequential solution procedure usually employed to solve the directional intensities, which couples the ordinate directions and the energy equation loosely. Previously published acceleration techniques have sought to employ a governing equation for the angular-average of the radiation intensity to promote inter-directional coupling. These techniques have not always been successful, and even wh
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Ramkumar, Barathram, Marco P. Schoen, and Feng Lin. "Application of an Intelligent Hybrid Optimization Technique for Parameter Estimation in the Presence of Colored Noise." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41352.

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Parameter estimation is an important concept in engineering where a mathematical model of a system is identified with the help of input and output signals. The Classical Least Squares (LS) algorithm gives an unbiased estimate of the parameters when the system noise is white. This property is lost when the system noise is colored — which is generally the case. In order to overcome the bias problem associated with the colored noise environment, one can use a whitening filter. The cost function in the case of a colored noise environment becomes multimodal when the signal to noise ratio is high an
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Irick, Kevin, and Nima Fathi. "High-Fidelity Calculation of Effective Thermal Response of Composite Media With Heat Generation Source." In ASME 2020 Verification and Validation Symposium. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/vvs2020-8836.

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Abstract The complexity of conductive heat transfer in a structure increases with heterogeneity (e.g., multi-component solid-phase systems with a source of internal thermal heat generation). Any discontinuity of material property — especially thermal conductivity — would warrant a thorough analysis to evaluate the thermal behavior of the system of interest. Heterogeneous thermal conditions are crucial to heat transfer in nuclear fuel assemblies, because the thermal behavior within the assemblies is governed significantly by the heterogeneous thermal conditions at both the system and component
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Ouazzi, Abderrahim, Naheed Begum, and Stefan Turek. "Monolithic Finite Element Method for the simulation of thixo-viscoplastic flows." In VI ECCOMAS Young Investigators Conference. Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/yic2021.2021.12250.

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This talk is concerned with the application of Finite Element Method (FEM) and Newton-Multigrid solver to simulate thixotropic flows.The thixotropy phenomena are introduced to yield stress material by taking into consideration the internal material micro structure using a structure parameter. Firstly, the viscoplastic stress is modified to include the thixotropic stress dependent on the structure parameter. Secondly, an evolution equation for the structure parameter is introduced to induce the time-dependent processof competition between the destruction (breakdown) and the construction (buildu
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