Log in

Relevant bibliographies by topics / Bid Optimization / Books

To see the other types of publications on this topic, follow the link: Bid Optimization.

Books on the topic 'Bid Optimization'

Author: Grafiati

Published: 6 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Bid Optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Pardalos, Panos, Mario Pavone, Giovanni Maria Farinella, and Vincenzo Cutello, eds. Machine Learning, Optimization, and Big Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27926-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Nicosia, Giuseppe, Panos Pardalos, Giovanni Giuffrida, and Renato Umeton, eds. Machine Learning, Optimization, and Big Data. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72926-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Pardalos, Panos M., Piero Conca, Giovanni Giuffrida, and Giuseppe Nicosia, eds. Machine Learning, Optimization, and Big Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51469-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Emrouznejad, Ali, ed. Big Data Optimization: Recent Developments and Challenges. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30265-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Nijdam, Jelle Luutzen. Behaviour and optimization of packed bed regenerators. Eindhoven: Eindhoven University of Technology, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Wang, John. Encyclopedia of business analytics and optimization. Hershey, PA: Business Science Reference, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Zhan, Jianfeng, Rui Han, and Chuliang Weng, eds. Big Data Benchmarks, Performance Optimization, and Emerging Hardware. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13021-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Zhan, Jianfeng, Rui Han, and Roberto V. Zicari, eds. Big Data Benchmarks, Performance Optimization, and Emerging Hardware. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29006-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Choi, Tsan-Ming, Jianjun Gao, James H. Lambert, Chi-Kong Ng, and Jun Wang, eds. Optimization and Control for Systems in the Big-Data Era. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53518-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

1946-, Elshishini S. S., ed. Modelling, simulation, and optimization of industrial fixed bed catalytic reactors. Yverdon, Switzerland: Gordon and Breach Science Publishers, 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Petrucci, Alessandra, and Rosanna Verde, eds. SIS 2017. Statistics and Data Science: new challenges, new generations. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-521-0.

Full text

Abstract:

The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of ‘meaning’ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data.

APA, Harvard, Vancouver, ISO, and other styles

12

Gerhard, Kreysa, Dechema, and Society of Chemical Industry (Great Britain). Elecrtrochemical Technology Group., eds. Electrochemical cell design and optimization procedures: Papers of the conference Bad Soden, September 24-26, 1990. Weinheim: VCH, 1991.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

P, Rowe Sean, Breininger David R, and United States. National Aeronautics and Space Administration., eds. Temporal, spatial, and diurnal patterns in avian activity at the Shuttle Landing Facility, John F. Kennedy Space Center, Florida, U.S.A. [Washington, D.C: National Aeronautics and Space Administration, 1997.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Advanced BDD Optimization. Berlin/Heidelberg: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b107399.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Drechsler, Rolf, Rüdiger Ebendt, and Görschwin Fey. Advanced BDD Optimization. Springer London, Limited, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Advanced BDD Optimization. Springer, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Drechsler, Rolf, Görschwin Fey, and Rudiger Ebendt. Advanced BDD Optimization. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Dhaenens, Clarisse, and Laetitia Jourdan. Metaheuristics for Big Data. Wiley & Sons, Incorporated, John, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Metaheuristics for Big Data. Wiley & Sons, Incorporated, John, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Dhaenens, Clarisse, and Laetitia Jourdan. Metaheuristics for Big Data. Wiley & Sons, Incorporated, John, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Dhaenens, Clarisse, and Laetitia Jourdan. Metaheuristics for Big Data. Wiley & Sons, Incorporated, John, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Vasant, Pandian, J. Joshua Thomas, Pinar Karagoz, and B. Bazeer Ahamed. Deep Learning Techniques and Optimization Strategies in Big Data Analytics. IGI Global, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

Vasant, Pandian, J. Joshua Thomas, Pinar Karagoz, and B. Bazeer Ahamed. Deep Learning Techniques and Optimization Strategies in Big Data Analytics. IGI Global, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

Vasant, Pandian, J. Joshua Thomas, Pinar Karagoz, and B. Bazeer Ahamed. Deep Learning Techniques and Optimization Strategies in Big Data Analytics. IGI Global, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

25

Vasant, Pandian, J. Joshua Thomas, Pinar Karagoz, and B. Bazeer Ahamed. Deep Learning Techniques and Optimization Strategies in Big Data Analytics. IGI Global, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

26

Vasant, Pandian, J. Joshua Thomas, Pinar Karagoz, and B. Bazeer Ahamed. Deep Learning Techniques and Optimization Strategies in Big Data Analytics. IGI Global, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Emrouznejad, Ali. Big Data Optimization: Recent Developments and Challenges. Springer, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

28

Emrouznejad, Ali. Big Data Optimization: Recent Developments and Challenges. Springer, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Emrouznejad, Ali. Big Data Optimization: Recent Developments and Challenges. Springer London, Limited, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Lopez, J. ADVANCED OPTIMIZATION with MATLAB Using BIG DATA TECHNIQUES. Independently Published, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Han, Rui, Jianfeng Zhan, and Chuliang Weng. Big Data Benchmarks, Performance Optimization, and Emerging Hardware. Springer, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

34

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. CRC Press LLC, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

35

Chauhan, Vinod Kumar. Stochastic Optimization for Large-Scale Machine Learning. Taylor & Francis Group, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

36

Jhaveri, Rutvij H., Victor Hugo C. de Albuquerque, Akash Kumar Bhoi, and Ranjit Panigrahi. Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches. de Gruyter GmbH, Walter, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

37

Jhaveri, Rutvij H., Victor Hugo C. de Albuquerque, Akash Kumar Bhoi, and Ranjit Panigrahi. Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches. de Gruyter GmbH, Walter, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

38

Jhaveri, Rutvij H., Victor Hugo C. de Albuquerque, Akash Kumar Bhoi, and Ranjit Panigrahi. Healthcare Big Data Analytics: Computational Optimization and Cohesive Approaches. de Gruyter GmbH, Walter, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

39

Lopez, J. OPTIMIZATION with MATLAB. QUADRATIC PROGRAMMING, LEAST SQUARES, SYSTEMS of EQUATIONS, PROBLEM-BASED and BIG DATA for OPTIMIZATION. Independently Published, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

40

S. S. E. H. Elnashaie. Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors. CRC Press LLC, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

41

S. S. E. H. Elnashaie. Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors. CRC Press LLC, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

42

S. S. E. H. Elnashaie. Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors. CRC Press LLC, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

43

S. S. E. H. Elnashaie. Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors. CRC Press LLC, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

44

Namatame, Akira, and Takanori Komatsu. Modeling of Desirable Socioeconomic Networks. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.15.

Full text

Abstract:

This chapter discusses the issues of designing desirable socioeconomic networks. Such networks permeate our lives. Evidence of this has generated increasing interest in dynamic processes in complex networks, especially the interplay between processes and the influences of network structure on performance and robustness. Performance optimization and robustness are important issues of socioeconomic networks. Diffusion is the process by which new products are invented and successfully introduced into a society (good diffusion) or infectious diseases spread (bad diffusion). Many studies shed light on how network topology interacts with the structure of social networked systems such as financial institutions to determine systemwide crises. In this context, entire classes of optimization problems range from maximizing the diffusion of innovations to minimizing risk distributions and cascade failures. The structure of interconnections influences network performance.

APA, Harvard, Vancouver, ISO, and other styles

45

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0863-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Send, Wolfgang. Winged artifacts. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0046.

Full text

Abstract:

Winged artifacts aim at the imitation of nature’s ingenious method to produce thrust with slim and smart-shaped flapping surfaces—the bending-torsional drive. The kinematics of these surfaces shows, in three dimensions, a bending motion coupled with a simultaneous torsion. This chapter describes the design and development of the artificial bird SmartBird, which was introduced in 2011 on the occasion of the annual international industry fair Hannovermesse. This artwork with articulated wings received worldwide attention through its unprecedented agility. The efficient motion of bodies heavier than air rests on the optimization of target functions like total weight to be balanced by lift, flow resistance to be balanced by thrust, structural layout and reliability, energy storage and, last but not least, smart flight control. From the author’s point of view, the bending-torsional drive just has started its career as a new player in this optimization game.

APA, Harvard, Vancouver, ISO, and other styles

47

Pardalos, P. M. Machine Learning, Optimization, and Big Data: Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers. Springer, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

48

Wang, Jun, Jianjun Gao, Tsan-Ming Choi, James H. Lambert, and Chi-Kong Ng. Optimization and Control for Systems in the Big-Data Era: Theory and Applications. Springer, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

49

Wang, Jun, Jianjun Gao, Tsan-Ming Choi, James H. Lambert, and Chi-Kong Ng. Optimization and Control for Systems in the Big-Data Era: Theory and Applications. Springer, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

50

Pardalos, P. M. Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers. Springer London, Limited, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!