Relevant bibliographies by topics / GTH algorithm

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Academic literature on the topic 'GTH algorithm'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "GTH algorithm"

1

Cohen, David M., Daniel P. Heyman, Asya Rabinovitch, and Danit Brown. "A Parallel Implementation of the GTH Algorithm." INFORMS Journal on Computing 9, no. 2 (1997): 218–23. http://dx.doi.org/10.1287/ijoc.9.2.218.

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2

Seneta, E. "Complementation in Stochastic Matrices and the GTH Algorithm." SIAM Journal on Matrix Analysis and Applications 19, no. 2 (1998): 556–63. http://dx.doi.org/10.1137/s0895479896310172.

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3

O'Cinneide, Colm Art. "Relative-error bounds for the LU decomposition via the GTH algorithm." Numerische Mathematik 73, no. 4 (1996): 507–19. http://dx.doi.org/10.1007/s002110050203.

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4

Hong, Sung-Chul, and Soohan Ahn. "Application of GTH-like algorithm to Markov modulated Brownian motion with jumps." Communications for Statistical Applications and Methods 28, no. 5 (2021): 477–91. http://dx.doi.org/10.29220/csam.2021.28.5.477.

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5

O’Leary, Dianne P., and Yuan-Jye Jason Wu. "A Block-GTH Algorithm for Finding the Stationary Vector of a Markov Chain." SIAM Journal on Matrix Analysis and Applications 17, no. 3 (1996): 470–88. http://dx.doi.org/10.1137/s0895479894262534.

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6

Azaroual, Meryeme, Mohammed Ouassaid, and Mohamed Maaroufi. "Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission." International Journal of Photoenergy 2021 (September 24, 2021): 1–20. http://dx.doi.org/10.1155/2021/5591456.

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The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.
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7

Linnemann, Birgit, Rupert Bauersachs, Hannelore Rott, et al. "Diagnosis of pregnancy-associated venous thromboembolism - position paper of the Working Group in Women’s Health of the Society of Thrombosis and Haemostasis (GTH)." Vasa 45, no. 2 (2016): 87–101. http://dx.doi.org/10.1024/0301-1526/a000503.

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Abstract. Pregnancy and the postpartum period are associated with an increased risk of venous thromboembolism (VTE). Over the past decade, new diagnostic algorithms have been established, combining clinical probability, laboratory testing and imaging studies for the diagnosis of deep vein thrombosis (DVT) and pulmonary embolism (PE) in the non-pregnant population. However, there is no such generally accepted algorithm for the diagnosis of pregnancy-associated VTE. Studies establishing clinical prediction rules have excluded pregnant women, and prediction scores currently in use have not been prospectively validated in pregnancy or during the postpartum period. D-dimers physiologically increase throughout pregnancy and peak at delivery, so a negative D-dimer test result, based on the reference values of non-pregnant subjects, becomes unlikely in the second and third trimesters. Imaging studies therefore play a major role in confirming suspected DVT or PE in pregnant women. Major concerns have been raised against radiologic imaging because of foetal radiation exposure, and doubts about the diagnostic value of ultrasound techniques in attempting to exclude isolated iliac vein thrombosis grow stronger as pregnancy progresses. As members of the Working Group in Women’s Health of the Society of Thrombosis and Haemostasis (GTH), we summarise evidence from the available literature and aim to establish a more uniform strategy for diagnosing pregnancy-associated VTE.
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8

Makarevich, N. А. "Thermodynamics of real polymer solutions in the new Rényi and Tsallis formalism." Proceedings of the National Academy of Sciences of Belarus, Chemical Series 57, no. 2 (2021): 162–76. http://dx.doi.org/10.29235/1561-8331-2021-57-2-162-176.

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The generalized non-ideality factor of systems (GNF) was introduced into the Renyi and Tsallis information entropy equations, and new expressions were obtained for information and thermodynamic entropies with a fractional moment of the order entropy gS and thermodynamic gth nonideality factors. Equations in formalism of Renyi and Tsallis: The equations describe self-organized structures of essentially non-equilibrium systems and can be used in studying the topological and conformational properties of solutions of high-molecular compounds. GNF: where is are relative average characteristics (pi are statistical probabilities) of opposite processes. Factor g varies in the range 0 ≤ g ≤ 2 and depends on which of the competitive processes prevails. An algorithm for calculating the thermodynamic functions of the state of the system under study is presented. The equations are intended for calculating the thermodynamic functions of objects of fractal nature, including real solutions of synthetic and natural highmolecular compounds of plant and animal origin (hyper branched structures, dendrimers, lignins, biological systems, dendrites, systems of internal organs, blood vessels, etc.).
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9

Zhang, Jianxun, Quan Zhu, and Jun Li. "Multiple Pathways for Dissociative Adsorption of SiCl4 on the Si(100)-c(4×2) Surface." Symmetry 15, no. 1 (2023): 213. http://dx.doi.org/10.3390/sym15010213.

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The adsorption of silicon tetrachloride (STC, SiCl4) on the silicon surface is a crucial process in polysilicon manufacture. However, the underlying mechanism for the adsorption remains highly uncertain. Here, new dissociative adsorption (DA) reaction pathways involving a flip of a silicon dimer in the first layer and considering physisorption are identified. Different DA patterns, inter-row (IR), inter-dimer (ID), and on-dimer (OD), are confirmed by the density functional theory (DFT) calculations at the PBE-D3(BJ)/TZVP-MOLOPT-GTH level. The stable structures for all minima are searched by global optimization through the artificial bee colony (ABC) algorithm. Findings reveal that the parent molecules dissociate first by breaking one Si-Cl bond, following which the resulting SiCl3 and Cl fragments are attached to adjacent Si-atom sites. Moreover, dimer flipping significantly reduces the energy barrier for chemisorption, mainly due to the change in electronic structure that enhances the interaction of the site with the SiCl3 radical. Physisorption may also be accompanied by dimer flipping to form a stable adsorption structure.
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10

Kirschner, Martin, Nicole do Ó Hartmann, Stefani Parmentier, et al. "Primary Thromboprophylaxis in Patients with Malignancies: Daily Practice Recommendations by the Hemostasis Working Party of the German Society of Hematology and Medical Oncology (DGHO), the Society of Thrombosis and Hemostasis Research (GTH), and the Austrian Society of Hematology and Oncology (ÖGHO)." Cancers 13, no. 12 (2021): 2905. http://dx.doi.org/10.3390/cancers13122905.

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Patients with cancer, both hematologic and solid malignancies, are at increased risk for thrombosis and thromboembolism. In addition to general risk factors such as immobility and major surgery, shared by non-cancer patients, cancer patients are exposed to specific thrombotic risk factors. These include, among other factors, cancer-induced hypercoagulation, and chemotherapy-mediated endothelial dysfunction as well as tumor-cell-derived microparticles. After an episode of thrombosis in a cancer patient, secondary thromboprophylaxis to prevent recurrent thromboembolism has long been established and is typically continued as long as the cancer is active or actively treated. On the other hand, primary prophylaxis, even though firmly established in hospitalized cancer patients, has only recently been studied in ambulatory patients. This recent change is mostly due to the emergence of direct oral anticoagulants (DOACs). DOACs have a shorter half-life than vitamin K antagonists (VKA), and they overcome the need for parenteral application, the latter of which is associated with low-molecular-weight heparins (LMWH) and can be difficult for the patient to endure in the long term. Here, first, we discuss the clinical trials of primary thromboprophylaxis in the population of cancer patients in general, including the use of VKA, LMWH, and DOACs, and the potential drug interactions with pre-existing medications that need to be taken into account. Second, we focus on special situations in cancer patients where primary prophylactic anticoagulation should be considered, including myeloma, major surgery, indwelling catheters, or immobilization, concomitant diseases such as renal insufficiency, liver disease, or thrombophilia, as well as situations with a high bleeding risk, particularly thrombocytopenia, and specific drugs that may require primary thromboprophylaxis. We provide a novel algorithm intended to aid specialists but also family practitioners and nurses who care for cancer patients in the decision process of primary thromboprophylaxis in the individual patient.
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