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Books on the topic 'SEO optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 May 2022

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1

SEO: Search engine optimization bible. Hoboken, N.J: Wiley, 2008.

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2

Ledford, Jerri L. SEO: Search engine optimization bible. Hoboken, N.J: Wiley, 2008.

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3

Odom, Sean. SEO for 2010: Search engine optimization secrets. [Tigard, OR ]: MediaWork Pub., 2010.

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4

SEO Warrior: Essential Techniques for Increasing Web Visibility. Cambridge: O'Reilly Media, Incorporated, 2009.

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5

Ahmad, Umair. LINK BUILDING FOR SEO: The Definitive Guide (2020). New York, USA: The Youth International, 2019.

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6

Cristian, Darie, ed. Professional search engine optimization with PHP: A developer's guide to SEO. Indianapolis, IN: Wiley Technology Pub., 2007.

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7

Erik, Dafforn, ed. Search engine optimization secrets: Do what you never thought possible with SEO. Indianapolis, IN: Wiley, 2011.

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8

Parker, Philip M. The 2009-2014 world outlook for search engine optimization (SEO) and internet marketing. [San Diego, Calif.]: Icon Group International, 2008.

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9

Song, Wen. Quality in set-valued optimization. Warszawa: Polska Akademia Nauk, Instytut Matematyczny, 1998.

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10

Bednarczuk, Ewa. Stability analysis for parametric vector optimization problems. Warszawa: Institute of Mathematics, Polish Academy of Sciences, 2007.

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11

V, Kalashnikov V., ed. Optimization with multivalued mappings: Theory, applications, and algorithms. New York: Springer, 2006.

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12

Mathematical problems and proofs: Combinatorics, number theory, and geometry. New York: Plenum Press, 1998.

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13

Mathematical Problems and Proofs: Combinatorics, Number Theory, and Geometry. Cleveland: Kluwer Academic Publishers, 2002.

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14

Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.

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15

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the basis of the passive experiment, predictive model of quantitative estimation of the copper content in the matte based on fuzzy logic. Of interest to students, postgraduates, teachers of technical universities, engineers and research workers who use mathematical methods for processing of data of laboratory and industrial experiments.

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16

E, Shaposhnikov D., ed. Mnogokriterialʹnyĭ vybor s uchetom individualʹnykh predpochteniĭ. Nizhniĭ Novgorod: Rossiĭskai͡a︡ akademii͡a︡ nauk, In-t prikladnoĭ fiziki, 1994.

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17

Murav'ev, Dmitriy, Aleksandr Rahmangulov, Nikita Osincev, Sergey Kornilov, and Aleksandr Cyganov. The system "seaport - "dry" port". ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1816639.

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The monograph presents an approach to solving the problem of increasing the throughput and processing capacity of seaports in conditions of limiting their territorial dislocation and increasing the unevenness of external and internal cargo flows. The basis of the approach is the proposed system of the main parameters of the dry port and the methodology of simulation modeling of the functioning of the system "seaport - dry port". The material is illustrated with examples of the implementation of the developed approach, including model scenarios of multi-agent optimization of the parameters of the system under study. The proposed approach and the developed methodology can be used to justify management decisions on the balanced development of transport and logistics infrastructure of the regions hosting sea and dry ports. It is intended for specialists of transport and logistics companies, engineering and technical workers engaged in solving problems in the field of logistics, supply chain management and transport infrastructure design. In addition, it is recommended to students in the following programs: postgraduate studies 23.06.01 "Land transport engineering and technology" (focus "Transport and transport-technological systems of the country, its regions and cities, organization of production in transport") and 27.06.01 "Management in technical systems" (focus "Management of transportation processes"); master's degree 23.04.01 "Technology of transport processes" (profile "Organization of transportation and management in a single transport system"); bachelor's degree 38.03.02 "Management" (profile "Logistics") and 23.03.01 "Technology of transport processes".

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18

I, Minchenko L., and Satsura Tatyana, eds. Multivalued analysis and nonlinear programming problems with perturbations. Dordrecht: Kluwer Academic Publishers, 2003.

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19

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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20

Smith, Lasse Martin. Solid Ranking : Search Engine Optimization: Learn SEO - Search Engine Optimization. CreateSpace Independent Publishing Platform, 2015.

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21

Elmansy, Rafiq. Teach Yourself VISUALLY Search Engine Optimization (SEO). Wiley & Sons, Incorporated, John, 2013.

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22

Elmansy, Rafiq. Teach Yourself VISUALLY Search Engine Optimization (SEO). Wiley & Sons, Incorporated, John, 2013.

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23

Teach Yourself VISUALLY Search Engine Optimization (SEO). Visual, 2013.

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24

Elmansy, Rafiq. Teach Yourself VISUALLY Search Engine Optimization (SEO). Wiley & Sons, Incorporated, John, 2013.

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25

The Art of SEO: Mastering Search Engine Optimization. O'Reilly Media, 2015.

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26

Varndell, Darren. SEO SoS: Search Engine Optimization First Aid Guide. CreateSpace Independent Publishing Platform, 2013.

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27

Dieno, Leland. Search Engine Optimization Guide: A quick guide to SEO. CreateSpace Independent Publishing Platform, 2018.

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28

Rondos, Gabriel. SEO Strategies 2018: Internet Marketing Strategies & Search Engine Optimization. CreateSpace Independent Publishing Platform, 2018.

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29

SEO Black Book: A Guide to the Search Engine Optimization Industry's Secrets (The SEO Series). CreateSpace Independent Publishing Platform, 2013.

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30

SEO Fitness Workbook: The Seven Steps to Search Engine Optimization. Independently Published, 2018.

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31

Small, Michael. SEO Answer Book Special Edition Website Optimization for Real Estate Professionals. Lulu.com, 2005.

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32

Professional Search Engine Optimization with ASP.NET: A Developer's Guide to SEO. Wrox, 2007.

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33

SEO 2019: Learn Search Engine Optimization With Smart Internet Marketing Strategies. Simple Effectiveness Publishing, 2019.

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34

Devash, Erik L. SEO Marketing Tips: The Business Owner's Guide to Search Engine Optimization. ESIOH Internet Marketing, 2013.

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35

Darie, Cristian, and Jaimie Sirovich. Professional Search Engine Optimization with PHP: A Developer's Guide to SEO. Wrox, 2007.

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36

WordPress SEO success: Search engine optimization for your WordPress Website or blog. Que, 2014.

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37

The 5-Minute Website Evaluation For SEO. Phoenix, Arizona, USA: self-published, 2011.

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38

Cory, Philip. SEO Starts Here: Learn Search Engine Optimization in 2015 and Dominate Your Competition. Philip\Cory, 2015.

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39

Costanzo, Antonio. Search Engine Optimization: Seo for Selling and Best Tips for Your Web Marketing Strategies. Independently Published, 2020.

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40

Kumari, Mrs Priyanka. The Ultimate Guide on Search Engine Optimization for Internet Professionals: The Bible of SEO. CreateSpace Independent Publishing Platform, 2016.

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41

Drupal 8 seo: The visual, step-by-step guide to Drupal search engine optimization. Volacci, 2017.

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42

Kartik, Mr Anurag. The Complete Guide To Search Engine Optimization for Starters and Beginners: The Basics of SEO. CreateSpace Independent Publishing Platform, 2016.

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43

Drupal 6 Search Engine Optimization: Rank high in search engines with professional SEO tips, modules, and best practices for Drupal web sites. Packt Publishing, 2009.

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44

Multilingual Digital Marketing. USA: Maria Johnsen, 2013.

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45

Reklaitis. Sea Engineering Optimization P. John Wiley & Sons Inc, 1997.

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46

Basu, Sanjay. Optimization. Edited by Sanjay Basu. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190667924.003.0003.

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This chapter seeks to determine how can we best allocate limited resources among many different programs. Given a budget to run a program that must be distributed among many different alternative projects (e.g., within a public health department, we might allocate some resources to a vaccination program, another set of resources to a diabetes prevention program, and yet another set of resources to an air pollution reduction program), how can we try to maximize the chances that we allocate limited resources fairly, ensuring that each program has at least the minimal resources that it needs while also ensuring that the distribution of resources maximizes overall public health? This chapter uses computational tools to solve such problems, focusing on how we can make smart decisions to maximize the potential effectiveness or cost-effectiveness of any particular program we’re interested in supporting—a goal known as optimization.

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47

Ben-Haim, Yakov. Optimization and Its Limits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822233.003.0004.

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Innovation dilemmas often result from seeking optimal—that is, minimal or maximal—outcomes. However, uncertainty sometimes makes outcome optimization infeasible or unwise. Human progress originates in our thirst for improvement. However, our ability to predict the outcome quality of the options is limited when our knowledge is severely curtailed. We simply can’t know which option will be optimal. Furthermore, seeking the best outcome sometimes becomes a moral imperative of its own, regardless of substantive needs. Optimization is then a goal in itself, leading to misuse of an otherwise worthy idea. We begin by discussing the modern paradigm of optimization—the laws of physics—and then discuss three ways in which seeking optimal solutions may go astray. After distinguishing between substantive and procedural optimization, we will see that outcome optimizers inadvertently minimize the robustness against uncertainty.

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48

Cherniak, Christopher. Neuroanatomy and Cosmology. Edited by John Bickle. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195304787.003.0015.

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This article aims to examine the possible relation between neuroanatomy and cosmology. It describes brain-wiring optimization and suggests that such extreme neural network organization is a prerequisite for brain functioning, and it states that it is possible that other set of brain-enabling conditions of the universe exist. It also discusses the relation between brain-wiring minimization and optimization landscapes and between brain-wiring optimization and the anthropic principle.

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49

Bevers, Michael, and John G. Hof. Spatial Optimization in Ecological Applications. Columbia University Press, 2002.

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50

Spatial Optimization in Ecological Applications. Columbia University Press, 2002.

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