Academic literature on the topic 'Finding local extrema'

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Journal articles on the topic "Finding local extrema"

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Oday, Jasim Mohammed Al-Furaiji, Anh Tuan Nguyen, and Yurevich TsviatkouViktar. "A new fast efficient non-maximum suppression algorithm based on image segmentation." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 2 (2020): 1062–70. https://doi.org/10.11591/ijeecs.v19.i2.pp1062-1070.

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In this paper, the problem of finding local extrema in grayscale images is considered. The known non-maximum suppression algorithms provide high speed, but only single-pixel extrema are extracted, skipping regions formed by multi-pixel extrema. Morphological algorithms allow to extract all extrema but its maxima and minima are processed separately with high computational complexity by iterative processing based on image reconstruction using image morphological dilation and erosion. In this paper a new fast efficient non-maximum suppression algorithm based on image segmentation and border analy
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Al-Furaiji, Oday Jasim, Nguyen Anh Tuan, and Viktar Yurevich Tsviatkou. "A new fast efficient non-maximum suppression algorithm based on image segmentation." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 2 (2020): 1062. http://dx.doi.org/10.11591/ijeecs.v19.i2.pp1062-1070.

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<span>In this paper, the problem of finding local extrema in grayscale images is considered. The known non-maximum suppression algorithms provide high speed, but only single-pixel extrema are extracted, skipping regions formed by multi-pixel extrema. Morphological algorithms allow to</span><span>extract all extrema but its maxima and minima are processed separately with high computational complexity by iterative processing based on image reconstruction using image morphological dilation and erosion. In this paper a new fast efficient non-maximum suppression algorithm based on
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Djuren, Tobias, Maximilian Kohlbrenner, and Marc Alexa. "K-Surfaces: Bézier-Splines Interpolating at Gaussian Curvature Extrema." ACM Transactions on Graphics 42, no. 6 (2023): 1–13. http://dx.doi.org/10.1145/3618383.

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K-surfaces are an interactive modeling technique for Bézier-spline surfaces. Inspired by k -curves by [Yan et al. 2017], each patch provides a single control point that is being interpolated at a local extremum of Gaussian curvature. The challenge is to solve the inverse problem of finding the center control point of a Bézier patch given the boundary control points and the handle. Unlike the situation in 2D, bi-quadratic Bézier patches may exhibit none, one, or several extrema, and finding them is non-trivial. We solve the difficult inverse problem, including the possible selection among sever
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Gomes, Abel, and José Morgado. "A Generalized Regula Falsi Method for Finding Zeros and Extrema of Real Functions." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/394654.

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Many zero-finding numerical methods are based on the Intermediate Value Theorem, which states that a zero of a real function is bracketed in a given interval if and have opposite signs; that is, . But, some zeros cannot be bracketed this way because they do not satisfy the precondition . For example, local minima and maxima that annihilate may not be bracketed by the Intermediate Value Theorem. In this case, we can always use a numerical method for bracketing extrema, checking then whether it is a zero of or not. Instead, this paper introduces a single numerical method, calledgeneralized regul
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Barkalov, Konstantin, Ilya Lebedev, and Evgeny Kozinov. "Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning." Entropy 23, no. 10 (2021): 1272. http://dx.doi.org/10.3390/e23101272.

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This paper features the study of global optimization problems and numerical methods of their solution. Such problems are computationally expensive since the objective function can be multi-extremal, nondifferentiable, and, as a rule, given in the form of a “black box”. This study used a deterministic algorithm for finding the global extremum. This algorithm is based neither on the concept of multistart, nor nature-inspired algorithms. The article provides computational rules of the one-dimensional algorithm and the nested optimization scheme which could be applied for solving multidimensional
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Romanuke, Vadim. "Nine-Point Iterated Rectangle Dichotomy for Finding All Local Minima of Unknown Bounded Surface." Applied Computer Systems 27, no. 2 (2022): 89–100. http://dx.doi.org/10.2478/acss-2022-0010.

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Abstract A method is suggested to find all local minima and the global minimum of an unknown two-variable function bounded on a given rectangle regardless of the rectangle area. The method has eight inputs: five inputs defined straightforwardly and three inputs, which are adjustable. The endpoints of the initial intervals constituting the rectangle and a formula for evaluating the two-variable function at any point of this rectangle are the straightforward inputs. The three adjustable inputs are a tolerance with the minimal and maximal numbers of subintervals along each dimension. The toleranc
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Romanuke, Vadim. "Three-Point Iterated Interval Half-Cutting for Finding All Local Minima of Unknown Single-Variable Function." Electrical, Control and Communication Engineering 18, no. 1 (2022): 27–36. http://dx.doi.org/10.2478/ecce-2022-0004.

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Abstract A numerical method is suggested to find all local minima and the global minimum of an unknown single-variable function bounded on a given interval regardless of the interval length. The method has six inputs: three inputs defined straightforwardly and three inputs, which are adjustable. The endpoints of the initial interval and a formula for evaluating the single-variable function at any point of this interval are the straightforward inputs. The three adjustable inputs are a tolerance with the minimal and maximal numbers of subintervals. The tolerance is the secondary adjustable input
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Sushkova, Olga S., Alexei A. Morozov, Margarita N. Khokhlova, et al. "Investigation and development of methods for automatic search for AUC-diagram-based features of Parkinson's disease and essential tremor." Radioelectronics. Nanosystems. Information Technologies. 16, no. 1 (2024): 67–78. http://dx.doi.org/10.17725/j.rensit.2023.16.067.

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Methods and optimization algorithms for automatic search for AUC-diagram-based features of Parkinson's disease and essential tremor were studied and developed. AUC diagrams are a new method for statistical analysis of biomedical signals, based on visualizing the parameters of wave train electrical activity in the brain and muscles. The effectiveness of this method has been demonstrated in solving problems of early and differential diagnosis of Parkinson's disease and essential tremor. The disadvantage of this method is the need to construct and analyze a large number of graphic diagrams. In th
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Stupin, Denis L. "A new method of estimation of moduli of initial Taylor coefficients on the class of bounded non-vanishing functions." Russian Universities Reports. Mathematics, no. 145 (2024): 98–120. http://dx.doi.org/10.20310/2686-9667-2024-29-145-98-120.

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The task of obtaining the sharp estimate of the modulus of the n-th Taylor coefficient on the class B of bounded non-vanishing functions has been reduced to the problem of estimating a functional over the class of normalized bounded functions, which in turn has been reduced to the problem of finding the constrained maximum of a non-negative objective function of 2n-3 real arguments with constraints of the inequality type, that allows us to apply the standard numerical methods of finding constrained extrema. Analytical expressions of the first six objective functions have been obtained and thei
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Kalinin, M. A., P. S. Verezemskaya, M. A. Krinitskiy, M. A. Borisov, and N. D. Tilinina. "BAYESIAN OPTIMIZATION OF THE METHOD OF IDENTIFICATION OF MESOSCALE OCEAN EDDIES IN THE LABRADOR SEA IN EDDY-RESOLVING MODELLING DATA." Journal of Oceanological Research 52, no. 4 (2024): 56–73. https://doi.org/10.29006/1564-2291.jor-2024.52(4).4.

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Deep convection in the Labrador Sea has a significant role in the formation of the Northern Hemisphere climate. The eddy activity in the Labrador Sea, represented by Irminger rings, influences the spatial and temporal heterogeneity of the mixed layer depth. Automated eddy identification methods are widely used as a tool to study eddy activity in statistically significant samples. However, the most commonly used method for finding local extrema is highly dependent on a variety of parameters chosen by the author or the user of the method. In this paper, a new algorithm for the identification of
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Books on the topic "Finding local extrema"

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Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t
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Book chapters on the topic "Finding local extrema"

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Ambrosino, Chiara, Ben Hufton, Benson Okinyi Nyawade, Harriet Osimbo, and Phanuel Owiti. "Integrating Climate Adaptation, Poverty Reduction, and Environmental Conservation in Kwale County, Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_118.

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AbstractShoreline erosion, flood surges, river sediments, and water pollution are only a few of the common threats to many coastal areas, with extreme climate-related events exacerbating the intensity and urgency of the resulting negative impacts. In addition, some coastal areas are excessively mined for sand, protective mangroves are destroyed, and coastal waters are overfished, affecting the well-being, safety, and livelihoods of local communities. These threats disproportionally affect the poorest and most marginalized groups, including women and children, leading to their increased vulnera
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Platzer, Paul, Bertrand Chapron, and Pierre Tandeo. "Dynamical Properties of Weather Regime Transitions." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_14.

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AbstractLarge-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been described through instantaneous, local indicators of dimension and persistence, borrowed from dynamical systems theory and extreme value theory. Using similar indicators and going further, we focus here on weather regime transitions. We use 60 years of winter-time sea-level pressure reanalysis data centered on the
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Mehta, Balwant Singh, Ravi Srivastava, and Siddharth Dhote. "Predicting Poverty with Machine Learning and Geospatial Data." In India Studies in Business and Economics. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2544-4_4.

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Abstract This chapter focuses on Sustainable Development Goal (SDG) 1, which aims to end poverty by 2030. Although significant progress has been made in poverty reduction, but the pace has slowed, especially after the COVID-19 pandemic. As of 2024, 8.9% of people global population live in extreme poverty, while 23.6% lives in poverty in low- and middle-income countries. South Asia, including India, continue to faces serious challenges especially in accurately measuring poverty. Traditional household surveys, while useful, are often costly, time-consuming, and outdated. To address this gap, thi
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Gkotsis, Ilias, Dimitrios Diagourtas, Nikolaos Zafeiropoulos, et al. "CO-PROTECT: Greek Cluster for Cooperative and Interoperable Crisis and Disaster Management Solutions." In Security Informatics and Law Enforcement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62083-6_8.

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AbstractCO-PROTECT is an integrated cluster project in Greece involving an alliance of technological enterprises and SMEs. Its primary focus is to foster innovation by coordinating, enhancing, and integrating high Technology Readiness Level (TRL) products, systems, and services, specifically targeting the management and response to natural disasters, environmental crises, and civil protection emergencies. This paper explores the unique approach of CO-PROTECT, offering interoperable solutions designed to serve various stakeholders such as Civil Protection Organizations, Emergency Management Ser
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Bergmann, Jonas. "Selva: Flood-Driven Entrapment and Planned Relocation in Peru’s Rainforest." In Studien zur Migrations- und Integrationspolitik. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-42298-1_6.

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AbstractIn Peru’s rainforest (Selva), the research interest was in two cases of flood-driven, short-distance, planned relocation in the Region of San Martín. After having requested relocation, both villages first became forcibly immobile for years (V3 and V4) and only one relocation was eventually accomplished (V3). These cases are of interest for two reasons. First, the evidence demonstrates that the annual flood cycle in the rainforest and extreme floods periodically drive individual migration and when habitability is threatened, the state has occasionally attempted to relocate entire commun
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Bergmann, Jonas. "Costa: Flood Displacement During the 2017 Coastal El Niño in Peru." In Studien zur Migrations- und Integrationspolitik. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-42298-1_7.

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AbstractThe research interest in Peru’s western arid coast (Costa) was in the well-being of persons displaced short distances away from their homes by floods during the 2017 Coastal El Niño (CEN) event for two reasons. First, Peru’s coast is periodically affected by severe El Niño-driven rainfall, which climate change will increase significantly in this century. Second, related floods are the main driver of displacement on Peru’s coast. The 2017 CEN floods, specifically, were the largest push for such displacement over the past decade in Peru, with close to 300,000 cases. Thus, examining the w
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Nzengya, Daniel M., and Francis Rutere. "Primary Versus High School Students’ Environmental Attitudes and Pro-environmental Behavior: The Case of Embu County, Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_134.

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AbstractDegradation of natural resources exacerbates a country’s vulnerability to the effects of climate change. IPCC projections suggest that countries within the horn of Africa, which include Kenya, will suffer most from extreme climate change events, particularly more frequent and prolonged droughts. Women and children suffer disproportionately from the consequences of environmental degradation. Public participation is one of the strategies governments pursue to combat environmental degradation; however, there has been limited research to better understand students’ environmental attitudes
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Akcinaroglu, Seden, and Elizabeth Radziszewski. "Market Factors and PMSCs’ Effectiveness in Conflict Termination." In Private Militaries and the Security Industry in Civil Wars. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197520802.003.0005.

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This chapter presents the results of empirical analysis of local and global competition’s impact on PMSCs’ performance in civil wars from 1990 to 2008. Findings suggest that both market mechanisms contribute to conflict termination, but there is some limitation to the benefit. Mainly, local competition has a positive effect in major wars involving conventional tactics and some guerrilla warfare but is less significant in the most difficult conflict environments. Companies’ corporate structure, a factor linked to the global-competition dynamic, can affect military effectiveness in conflicts inv
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Tsuchiya, Masahiko. "New Application of Low-Molecular Weight Dextran as Local Anesthetic Adjuvant for Ultrasound-Guided Nerve Block." In Topics in Regional Anesthesia [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98797.

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Advances in ultrasound technology and the increased risk of opioid overdose following surgery have expanded applications of nerve block for surgical cases, resulting in reevaluation of adjuvants used to potentiate local anesthetics. We have found that a mixture of local anesthetic with low-molecular weight dextran, one such local anesthetic adjuvant, greatly enhances analgesic duration and potency in patients receiving an interfascial compartment nerve block under ultrasound-guidance as well as those receiving a single peripheral nerve block. Notably, a compartment nerve block in the abdominal
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Ireland, Norman. "Information Asymmetries and Product-Quality Regulation." In The Regulatory Challenge. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780198773412.003.0009.

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Abstract In this chapter our concern will be for the consumer buying goods and services in the private sector. The focus will be on the case where the consumer has to complete the transaction (or at least contract to coplete the transaction) before finding out the exact quality of what he is buying. Such goods or services are usually referred to as experience goods, and the typical case of interest is when the seller knows the true quality of the product while the buyer only observes this after purchase. Thus the seller has more information than the buyer at the moment of contract: there is as
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Conference papers on the topic "Finding local extrema"

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Moravcova, Vendula, Jana Moravcova, Vaclav Bystricky, and Jakob Polensky. "EFFECT OF FREEZING ON THE STATOBLAST OF THE INVASIVE BRYOZOAN PECTINATELLA MAGNIFICA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s20.15.

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Statoblasts are dormant, asexual propagules critical for the survival and dispersal of bryozoans, such as Pectinatella magnifica. Understanding the resilience of statoblasts to environmental stresses is crucial for predicting the response of bryozoan populations to changing conditions. This study investigates the effect of freezing on the viability of statoblasts from P. magnifica. Statoblasts were collected from Pectinatella magnifica colonies in the Protected Landscape area and Biospheric Reservation Trebonsko. Molecular analyses were used to assess the freezing effect on the statoblasts, es
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Siyanbola, Sikiru Abdulganiyu, Olamide Mercy Oluwatade, and Emmanuel Emeka Okafor. "Predictive Modelling for Optimizing Wind Turbine Performance and Structural Health Monitoring: Adapting Turkish SCADA Data for Sub-Saharan Africa." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-7eveuy.

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This research investigates the application of AI-enhanced structural health monitoring (SHM) systems to predict and optimize the performance and reliability of wind turbines in Sub-Saharan Africa power generation. Supervisory Control and Data Acquisition (SCADA) systems data from a Turkish wind turbine were leveraged to develop a predictive model using the eXtreme gradient boosting (XGBoost) algorithm. Wind speed data from the Turkish wind turbine was substituted with wind speed data of some selected locations in Sub-Saharan Africa (Katsina, Nigeria; Addis Ababa, Ethiopia; Dakar, Senegal; and
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Chen, Wei-Han, and Juergen Rauleder. "Wind Tunnel Investigation of a Rotor Under the Influence of Unsteady Ship Airwakes with Azimuth-Correlated Measurements." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-47.

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The performance and unsteady loads of a rotor operating in shipboard environments are highly sensitive to the influence of unsteady ship airwakes. In extreme cases, this interaction can significantly degrade rotorcraft handling qualities and constrain the safe launch and recovery flight envelope. This study presents wind tunnel measurements of azimuth-correlated rotor hub loads for a 1:100 scale single main rotor, modeled after the NATO Generic Rotorcraft, hovering above and around the landing deck of the NATO Generic Destroyer. These measurements were complemented with Particle Image Velocime
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GEORGIEV, VALENTIN, ATANAS ILCHEV, and BOYAN ZLATANOV. "UTILIZING PYTHON FOR FINDING LOCAL EXTREMA OF MULTIVARIABLE FUNCTIONS." In INTERNATIONAL SCIENTIFIC CONFERENCE MATHTECH 2024. Konstantin Preslavsky University Press, 2024. https://doi.org/10.46687/xjxo7873.

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The application of the Python programming language for finding local extrema of functions of two variables highlights the advantages of modern information technologies in performing complex and time-consuming algebraic computations. This article emphasizes Python’s capacity to simplify and accelerate processes that would otherwise require significant manual effort through traditional mathematical methods. Two specific examples are discussed, where classical "by hand" calculations would be laborious and prone to error. The article presents a clear procedure and accompanying Python code that aut
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Poirette, Yann, Martin Guiton, Guillaume Huwart, Delphine Sinoquet, and Jean Marc Leroy. "An Optimization Method for the Configuration of Inter Array Cables for Floating Offshore Wind Farm." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61655.

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IFP Energies nouvelles (IFPEN) is involved for many years in various projects for the development of floating offshore wind turbines. The commercial deployment of such technologies is planned for 2020. The present paper proposes a methodology for the numerical optimization of the inter array cable configuration. To illustrate the potential of such an optimization, results are presented for a case study with a specific floating foundation concept [1]. The optimization study performed aims to define the least expensive configuration satisfying mechanical constraints under extreme environmental c
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Mehrabian, Abbas, Ankit Anand, Hyunjik Kim, et al. "Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/772.

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This work proposes a new learning-to-search benchmark and uses AI to discover new mathematical knowledge related to an open conjecture of Erdos (1975) in extremal graph theory. The problem is to find graphs with a given size (number of nodes) that maximize the number of edges without having 3- or 4-cycles. We formulate this as a sequential decision-making problem and compare AlphaZero, a neural network-guided tree search, with tabu search, a heuristic local search method. Using either method, by introducing a curriculum---jump-starting the search for larger graphs using good graphs found at sm
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Huang, Boyang, Xiaogang Qi, Zihao Lei, et al. "Residual stress evaluation and performance reliability of single crystal nickel-based alloys through a fast peak-finding algorithm." In 6th International Conference on Structural Health Monitoring and Integrity Management, 8 - 10 November 2024, Zhengzhou. NDT.net, 2025. https://doi.org/10.58286/31024.

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Structural health monitoring (SHM) is crucial for high-performance systems like aerospace engines, enabling early detection of damage and potential failures in key components, especially turbine blades under extreme temperatures and stress. Residual stress is a major factor in component failure, requiring precise measurement. This study proposes a fast peak-finding algorithm using local scanning, integrating Kikuchi diffraction and crystal structure features to optimize residual stress testing via X-ray diffraction. The method reduces scans from 25,631 to 792, significantly improving accuracy
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Hsiao, Leticia, Joana Carla Soares Goncalves, Alessandra Prata Shimomura, et al. "Contemporary vernacular architecture in the Brazilian Tropical Savana: The case-study of the children's village in the Canuana Farm, in Tocantis." In Comfort at The Extremes 2023. CEPT University Press, 2024. http://dx.doi.org/10.62744/cate.45273.1114-066-074.

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Completed in 2017, the building complex Moradias Infantis de Canuanã (Canuanã Children’s Village) is located in the city of Formoso do Araguaia in Tocantins, in Brazil. Its architecture is strongly influenced by the local savanna climate which is characterised by distinct hot-dry and hot-mid seasons. In this study, the authors evaluated the buildings thermal conditions and the potential of natural ventilation using analytical procedures supported by computer simulations. Air movement in the transitional spaces was also simulated with CFD techniques. The findings reveal that during the hottest
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Kim, Jungkwon, Sangmin Kim, Jungi Lee, Kwangsun Yoo, and Seokjoo Byun. "CRNSim: A New Similarity Index Capturing Global and Local Spectral Differences in Hyperspectral Data." In 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005923.

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Hyperspectral imaging (HSI) enables detailed spectral analysis across numerous bands, offering transformative potential in diverse domains such as remote sensing, agriculture, and medical diagnostics. However, the inherent challenges of inter-class similarity, intra-class variability, and limitations in existing similarity metrics hinder its effectiveness. To address these challenges, we propose CRNSim, a novel similarity index that integrates three complementary components: a Chebyshev-based term to capture extreme spectral deviations, a RMSE-based term to account for global spectral trends,
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Landriani, Giannantonio Sacchi, and Alberto Taliercio. "On the Optimal Design of Bodies With Material Symmetries." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0132.

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Abstract These notes are concerned with the optimal design of two dimensional, in-plane loaded structural elements and three dimensional bodies, made of aleotropic materials, with regard to both the elastic and the ultimate behaviour. Sec. 2 is devoted to finding the local orientations of the material symmetry axes in 3D orthotropic solids, corresponding to extreme values of the global elastic stiffness. These orientations are shown to be such that collinearity of principal stress and principal strains is achieved throughout the body. In the particular case of transversely isotropic or cubic m
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Reports on the topic "Finding local extrema"

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Cavalcanti, Pedro Henrique, and Renata Motta Café. Empowering Local Governments: Evidence from Rural Land Tax Decentralization. Inter-American Development Bank, 2024. https://doi.org/10.18235/0013505.

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This paper examines the fiscal and extra-fiscal effects of decentralizing the collection of Brazil's rural land tax from the federal level to local governments. Using a difference-in-differences research design, we assess the impact of local tax enforcement on revenue, land use, and environmental outcomes. Decentralization led to sustained revenue gains, increased agricultural production, expanded reported environmental protection areas, and slightly decreased land concentration. Our findings highlight the role of property taxation as a policy instrument for environmental conservation and sust
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Ly, Tem. Leadership Pathways for Local Women: Case Studies of Three Communes in Cambodia. Cambodia Development Resource Institute, 2016. https://doi.org/10.64202/wp.108.201606.

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Women’s leadership is necessary for Cambodia’s sustained development. Their involvement in leadership roles in the public sphere and politics is crucial and has been shown to impact positively on poverty reduction. Governments, NGOs and international organisations have been increasingly aware that sustainable development is significantly linked to gender equality and women’s empowerment, key factors in ending extreme poverty. It is only logical then that Cambodia should pay greater attention to developing future generations of women for leadership, especially at the grassroots level. This stud
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Matousek, Sarah Bliss, Amanda Gray, Dante Jester, and Brian G. Henning. Heat, Smoke, and Resilience in East Central Spokane: Community Insights on Climate Adaptation. Gonzaga University, Institute for Climate, Water, and the Environment, 2025. https://doi.org/10.33972/ccse.2025.02.

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: This report presents findings from a multi-methods research initiative exploring the impacts of climate-related hazards—specifically extreme heat and wildfire smoke—on residents of Spokane’s East Central neighborhood. The project combined a community survey with a World Café-style symposium to gather both quantitative data and lived experiences from local participants. Key themes that emerged include the need for more cooling infrastructure, accessible health education, improved indoor air quality, and stronger neighborhood-level communication and support networks. The report highlights how
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Shanks, Rachel, and Nneoma Dike. School Clothing in Scotland Research Brief. University of Aberdeen, 2023. http://dx.doi.org/10.57064/2164/22140.

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Summary and main findings 1.Twelve of the 32 local authorities automatically pay school clothing grant to families who receive a qualifying benefit administered by the local authority such as Housing Benefit or income-related Council Tax reduction. 2.School uniform banks report difficulties that are created for families through uniform policies, for example requiring 100% black shoes, items with logos, tartan and hard to find colours, such as turquoise or maroon. 3.In 2022-23 there was a drop in the number of children for whom school clothing grant was awarded while the percentage of children
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Chea, Phal, Davut Nhem, Sathya Chea, and Chankoulika BO. The Reversal of Gender Gap in Learning: Why Boys Are Falling Behind in Upper Secondary Schools. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp.145.202406.

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The global emphasis on addressing gender disparities in education has highlighted the importance of equitable academic achievement for policymakers, scholars, and the public. The Sustainable Development Goals (SDGs) have incorporated gender equity, emphasising the ongoing challenge of ensuring equal access to quality education worldwide. In Cambodia, traditionally a male-dominated society, a notable shift has been observed: female students are now surpassing their male counterparts in school enrolment and academic performance. This reversal has sparked significant public interest, prompting th
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