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Books on the topic 'Adaptive software architecture'

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Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

David, Hutchison. Architectures for Adaptive Software Systems: 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, June 24-26, 2009 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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2

Mirandola, Raffaela, Ian Gorton, and Christine Hofmeister, eds. Architectures for Adaptive Software Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02351-4.

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3

Fearghal, Morgan, Amano Hideharu, El-Ghazawi Tarek, and SpringerLink (Online service), eds. Reconfigurable Computing: Architectures, Tools and Applications: 6th International Symposium, ARC 2010, Bangkok, Thailand, March 17-19, 2010. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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4

Luigi, Carro, ed. Dynamic reconfigurable architectures and transparent optimization techniques: Automatic acceleration of software execution. Dordrecht: Springer, 2010.

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5

Iacobucci, Maria Stella. Reconfigurable radio systems: Network architectures and standards. Chichester, West Sussex, United Kingdom: John Wiley & Sons, Ltd Publication, 2013.

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6

Inc, ebrary, ed. Zenoss Core network and system monitoring: A step-by-step guide to configuring, using, and adapting the free open-source network monitoring system. Birmingham, UK: Packt Publishing, 2008.

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7

Taylor, Matthew E. Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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8

Matthew, Knudson, Grześ Marek, and SpringerLink (Online service), eds. Adaptive and Learning Agents: International Workshop, ALA 2011, Held at AAMAS 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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9

Bereković, Mladen. Architecture of Computing Systems - ARCS 2011: 24th International Conference, Como, Italy, February 24-25, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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10

Agile Service Development Enterprise Engineering. Springer, 2012.

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11

Hofmeister, Christine, Ian Gorton, and Raffaela Mirandola. Architectures for Adaptive Software Systems. Springer, 2009.

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12

Boudreau, Joseph F., and Eric S. Swanson. Ordinary differential equations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0011.

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This chapter surveys the ordinary differential equations (ODEs) that occur in classical and quantum mechanics, and describes both numerical algorithms and appropriate software design for solving them. Systems of ordinary differential equations, together with a few constants of integration, can in most cases be regarded as a means of defining a function (the “solution”). In this chapter, we develop an object-oriented architecture that applies integrators of the Runge-Kutta family to create these functions. Together with an automatic derivative system for generating partial derivatives from functions of one or more variables, the differential equation solver becomes a powerful tool for solving a variety of few-body problems in classical Hamiltonian systems. This chapter presents a blend of numerical algorithms, physics, and computing techniques. The phenomenon of energy drift is discussed and used to motivate symplectic solvers. Techniques such as adaptive step size and possible problems with stability and multiple scales are also discussed.
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13

Iacobucci, Maria Stella. Reconfigurable Radio Systems: Network Architectures and Standards. Wiley & Sons, Incorporated, John, 2013.

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14

Bobda, Christophe. Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications. Springer, 2010.

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15

Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications. Springer, 2007.

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16

(Foreword), Y. Patt, J. Smith (Foreword), M. Valero (Foreword), Stamatis Vassiliadis (Editor), and Dimitrios Soudris (Editor), eds. Fine- and Coarse-Grain Reconfigurable Computing. Springer, 2007.

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17

Vrancx, Peter, Matthew Knudson, and Marek Grzes. Adaptive and Learning Agents: AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Springer, 2012.

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18

Vrancx, Peter, Matthew Knudson, and Marek Grzes. Adaptive and Learning Agents: AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Springer, 2012.

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