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Books on the topic 'GAS Algorithm'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

United States. Environmental Protection Agency. Office of Transportation and Air Quality. Assessment and Standards Division. MOVES2010 fuel adjustment and air toxic emission calculation algorithm: Development and results. Assessment and Standards Division, Office of Transportation and Air Quality, U.S. Environmental Protection Agency, 2011.

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2

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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3

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. Langley Research Center, 1990.

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4

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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5

Müller-Hannemann, Matthias, and Stefan Schirra. Algorithm engineering: Bridging the gap between algorithm theory and practice. Springer, 2010.

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6

United States. National Aeronautics and Space Administration., ed. Shock capturing schemes for multidimensional flow: Final report. National Aeronautics and Space Administration, 1992.

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7

Stephen, Richter, Davis Lawrence D, and United States. National Aeronautics and Space Administration., eds. A homotopy algorithm for digital optimal projection control, GASD-HADOC. Harris Corp., Government Aerospace System Division, 1993.

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8

Collins, E. A homotopy algorithm for digital optimal projection control, GASD-HADOC. Harris Corp., Government Aerospace System Division, 1993.

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9

McClain, C. R. An analysis of GAC sampling algorithms: A case study. National Aeronautics and Space Administration, Goddard Space Flight Center, 1992.

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10

Chang, I.-Lok. Data processing algorithms for inferring stratospheric gas concentrations from balloon-based solar occultation data. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1987.

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11

Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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12

Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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13

Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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14

Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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15

E, Goldberg David. Computer-aided gas pipeline operation using genetic algorithms and rule learning: A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Civil Engineering) in the University of Michigan 1983. University Microfilms International, 1987.

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16

J, Baumeister Kenneth, and United States. National Aeronautics and Space Administration., eds. Acoustic scattering from ellipses by the modal element method. National Aeronautics and Space Administration, 1995.

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17

Simone, Tom De. Lavender Los Angeles. Arcadia Pub., 2011.

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18

Lü, Guoying. Suan fa she ji yu fen xi. Qing hua da xue chu ban she, 2006.

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19

Florian, Luca, ed. Analytic number theory: Exploring the anatomy of integers. American Mathematical Society, 2012.

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20

Müller-Hannemann, Matthias, and Stefan Schirra. Algorithm Engineering: Bridging the Gap Between Algorithm Theory and Practice. Springer London, Limited, 2010.

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21

Chubarova, Natalia, Yekaterina Zhdanova, Yelizaveta Androsova, et al. THE AEROSOL URBAN POLLUTION AND ITS EFFECTS ON WEATHER, REGIONAL CLIMATE AND GEOCHEMICAL PROCESSES. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1475.978-5-317-06464-8.

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The monograph is devoted to the study of atmospheric aerosol and its dynamics in the urban environment of Moscow megacity. Based on the AeroRadCity 2018-2019 complex experiment, composed of measurement campaign and numerical experiments using the COSMO-ART chemical transport model, a number of new results were obtained, which contributed to a deeper understanding of the gas-aerosol composition of the urban atmosphere, wet aerosol deposition with accounting of geochemical processes and aerosol radiative effects. Aerosol pollution in the Moscow region and its dynamics in the 21st century were es

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22

Algoritmy dli͡a chislennogo issledovanii͡a razryvnykh techeniĭ (pri bystrom vydelenii ėnergii v oblasti͡akh slozhnoĭ formy). Vychislitelʹnyĭ t͡sentr RAN, 1993.

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23

National Aeronautics and Space Administration (NASA) Staff. Homotopy Algorithm for Digital Optimal Projection Control Gasd-Hadoc. Independently Published, 2018.

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24

Nematov, Abdugani, and Elmira Nazirova. GAS FILTRATION PROBLEMS IN POROUS MEDIUM: NUMERICAL MODELS AND ALGORITHMS SOLUTION OF GAS FILTRATION PROBLEMS IN POROUS MEDIUM. GlobeEdit, 2022.

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25

Calix, Ricardo. Deep Learning Algorithms: Transformers, Gans, Encoders, Rnns, Cnns, and More. Independently Published, 2020.

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26

Calix, Ricardo. Deep Learning Algorithms: Transformers, Gans, Encoders, Cnns, Rnns, and More. Independently Published, 2020.

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27

Gimblett, H. Randy. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.001.0001.

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This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors, and successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.

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28

Krzanowski, Roman M., and Jonathan Raper. Spatial Evolutionary Modeling. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135688.001.0001.

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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.

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29

Wu, Jinsong, Sundeep Rangan, and Honggang Zhang. Green Communications: Theoretical Fundamentals, Algorithms and Applications. Taylor & Francis Group, 2016.

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30

Comparison of gap elements and contact algorithm for 3D contact analysis of spiral bevel gears. National Aeronautics and Space Administration, 1994.

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31

Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications. Elsevier Science & Technology, 2021.

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32

Belyadi, Hoss, and Alireza Haghighat. Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications. Elsevier Science & Technology Books, 2021.

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33

Fox, Raymond. The Use of Self. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780190616144.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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34

Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic

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35

Fourie, Johan, ed. Quantitative History and Uncharted People. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350335608.

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One of the biggest challenges in the study of history is the unreliable nature of traditional archival sources which omit histories of marginalised groups. This book makes the case that quantitative history offers a way to fill these gaps in the archive. Showcasing 13 case studies from the South African past, it applies quantitative sources, tools and methods to social histories from below to uncover the experiences of unchartered peoples. Examining the occupations of slaves, victims of the Spanish flu, health of schoolchildren and more, it shows how quantitative tools can be particularly powe

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36

Zaporozhets, A. O., and V. P. Babak. Control of fuel combustion in small and medium power boilers. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.418.128.

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The monograph deals with the problems of increasing the effi ciency of fuel combustion and reducing emissions of harmful substances in boilers with a capacity of up to 3.5 MW. Approaches for the formation of stoichiometric air-fuel mixtures in boilers are developed. Th e method for indirect determination of the concentration of air components was developed, which allows to increase the metrological characteristics of gas-analyzing devices. Methods, algorithms and programs to automate the combustion control process, while ensuring the reliability of the data, are created. A system for monitorin

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37

Wu, Jinsong, Sundeep Rangan, and Honggang Zhang. Green Communications: Theoretical Fundamentals, Algorithms, and Applications. Taylor & Francis Group, 2016.

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38

Wu, Jinsong, Sundeep Rangan, and Honggang Zhang. Green Communications: Theoretical Fundamentals, Algorithms, and Applications. Taylor & Francis Group, 2016.

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39

Wu, Jinsong, Sundeep Rangan, and Honggang Zhang. Green Communications: Theoretical Fundamentals, Algorithms, and Applications. Taylor & Francis Group, 2016.

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40

Wu, Jinsong, Sundeep Rangan, and Honggang Zhang. Green Communications: Theoretical Fundamentals, Algorithms, and Applications. Taylor & Francis Group, 2016.

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41

Green Communications: Theoretical Fundamentals, Algorithms and Applications. Taylor & Francis Group, 2012.

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42

National Aeronautics and Space Administration (NASA) Staff. Sensitivity of Global Sea-Air Co2 Flux to Gas Transfer Algorithms, Climatological Wind Speeds, and Variability of Sea Surface Temperature and Salinity. Independently Published, 2018.

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43

Lewis-Jones, Susan, and Ruth Murphy, eds. Paediatric Dermatology. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198821304.001.0001.

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The Oxford Specialist Handbook of Paediatric Dermatology been designed primarily for paediatricians, GPs, emergency, and other healthcare professionals faced with the assessment, diagnosis, and treatment of children with skin disease. Highly illustrated with over 400 full colour clinical photographs, it has been organised into sections dealing primarily with clinical signs and symptoms to aid diagnosis. It also contains simple algorithms to aid diagnosis of common presentations such as itchy red rashes, blistering disorders, bruising, hair, and nail disorders. Attention has been focussed on th

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44

Publishing, Sunshine. I Would Rather Suffer with Algorithms Than Be Senseless: Funny Notebook for Algorithms Lovers, Cute Journal for Writing Journaling and Note Taking at Home Office Work School College,appreciation Birthday Christmas Gag Gift for Women Men Teen Friend. Independently Published, 2020.

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45

Fink, Robert, Melinda Latour, and Zachary Wallmark, eds. The Relentless Pursuit of Tone. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199985227.001.0001.

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The Relentless Pursuit of Tone: Timbre in Popular Music assembles a wide spectrum of contemporary perspectives on how sound functions in an equally wide array of popular music. With subjects ranging from the twang of country banjos and the sheen of hip-hop strings to the crunch of amplified guitars and the thump of subwoofers on the dance floor, this volume attempts to bridge the gap between timbre, the purely acoustic characteristics of sound waves, and tone, an emergent musical construct that straddles the borderline between the perceptual and the political. The book’s chapters engage with t

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46

Flinders, Matthew, and Chris Monaghan, eds. Questions of Accountability. Hart Publishing, 2023. http://dx.doi.org/10.5040/9781509964253.

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This book explores accountability from a range of perspectives, crossing traditional disciplinary, thematic and professional boundaries. It asks fresh questions about accountability and its place and importance in democratic societies. Accountability matters. It matters because it connects the governors with the governed, and for this reason it is a hallmark of democratic governance. And yet, amidst a backdrop of concerns about democratic back-sliding, the rise of populism, the role of algorithmic governance, moral barbarism and post-truth politics – to mention just a few issues – a number of

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47

Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip it

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