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Books on the topic 'Building Block Programming'

Author: Grafiati

Published: 5 June 2025

Last updated: 8 July 2025

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1

Gaby, Ewin. Commodore 64 program building blocks. McGraw-Hill, 1985.

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2

D'Ignazio, Fred. Apple building blocks: Featuring Denby, the robot. Hayden Book Co., 1985.

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3

Voss, Michael. Pro TBB: C++ Parallel Programming with Threading Building Blocks. Springer Nature, 2019.

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4

Pendharkar, Sumant S. dBase IV Programming Language: Building Block Approach. Prentice-Hall, 1994.

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5

Faust, Daniel R. Algorithms : the Building Blocks of Computer Programming: The Building Blocks of Computer Programming. Rosen Publishing Group, 2018.

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6

Faust, Daniel R. Algorithms: The Building Blocks of Computer Programming. Rosen Publishing Group, 2018.

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7

Algorithms: The Building Blocks of Computer Programming. Rosen Publishing Group, 2018.

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8

Pro TBB: C++ Parallel Programming with Threading Building Blocks. Apress, 2019.

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9

D'Ignazio, Fred. Apple Building Blocks: Apple Ii, Ii+, Iie/48K Disk. Sams, 1985.

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10

Glass, Graham. Web Services: Building Blocks for Distributed Systems (With CD-ROM). Prentice Hall PTR, 2001.

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11

Glass, Graham. Web Services: Building Blocks for Distributed Systems (With CD-ROM). Prentice Hall PTR, 2001.

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12

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. Taylor & Francis Group, 2022.

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13

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. Taylor & Francis Group, 2019.

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14

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. Taylor & Francis Group, 2019.

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15

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. CRC Press, 2019.

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16

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. Taylor & Francis Group, 2019.

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17

Shalev, Isaac, and Geoffrey Engelstein. Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. Taylor & Francis Group, 2019.

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18

Building Blocks of Tabletop Game Design: An Encyclopedia of Mechanisms. CRC Press, 2019.

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19

Miller, Joseph B. Internet Technologies and Information Services. 2nd ed. Libraries Unlimited, 2014. http://dx.doi.org/10.5040/9798400671739.

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The Internet has enabled the convergence of all things information-related. This book provides essential, foundational knowledge of the application of Internet and web technologies in the information and library professions. Internet Technologies and Information Services: Second Editionis a vital asset to students preparing for careers in library and information science and provides expanded coverage to important new developments while still covering Internet foundations. In addition to networking, the Internet, HTML, web design, web programming, XML, and web searching, this new edition covers additional topics such as cloud computing, content management systems, eBook technologies, mobile technologies and applications, relational database management systems (RDMS), open source software, and virtual private networking. It also provides information on virtualization and related systems, including desktop virtualization systems. With clear and simple explanations, the book helps students form a solid, basic IT knowledge that prepares them for more advanced studies in technology. It supplies an introductory history of the Internet and an examination of current trends with specific emphasis on how online information access affects the LIS fields. Author Joseph B. Miller, MSLS, explains Internet protocols and current broadband connectivity options; Internet security issues and steps to take to block threats; building the web with markup languages, programming, and content management systems; and elements of information access on the web: content formats, information retrieval, and Internet search.

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20

Tuite, Cl´ıodhna, Michael O’Neill, and Anthony Brabazon. Economic and Financial Modeling with Genetic Programming. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.10.

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This chapter focuses on genetic programming (GP), a stochastic optimization and model induction technique. An advantage of GP is that the modeler need not select the exact parameters to be used in the model beforehand. Rather, GP can effectively search a complex model space defined by a set of building blocks specified by the modeler. This flexibility has allowed GP to be used for many applications. The chapter reviews some of the most significant developments using GP: forecasting, stock selection, derivative pricing and trading, bankruptcy and credit risk assessment, and agent-based and economic modeling. Conclusions reached by studies investigating similar problems do not always agree; however, GP has proved useful across a wide range of problem areas. Recent and future work is increasingly concerned with adapting genetic programming to more dynamic environments and ensuring that solutions generalize robustly to out-of-sample data, to further improve model performance.

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21

Lakshmivarahan, S., and Sudarshan K. Dhall. Parallel Computing Using the Prefix Problem. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195088496.001.0001.

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The prefix operation on a set of data is one of the simplest and most useful building blocks in parallel algorithms. This introduction to those aspects of parallel programming and parallel algorithms that relate to the prefix problem emphasizes its use in a broad range of familiar and important problems. The book illustrates how the prefix operation approach to parallel computing leads to fast and efficient solutions to many different kinds of problems. Students, teachers, programmers, and computer scientists will want to read this clear exposition of an important approach.

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22

Embedded systems building blocks: Complete and ready-to-use modules in C. R&D Publications, 1995.

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23

Embedded systems building blocks: Complete and ready-to-use modules in C. R&D Publications, 1995.

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24

Embedded systems building blocks: Complete and ready-to-use modules in C. 2nd ed. CMP Books, 2000.

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25

Capmany, José, and Daniel Pérez. Programmable Integrated Photonics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844402.001.0001.

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Programmable Integrated Photonics (PIP) is a new paradigm that aims at designing common integrated optical hardware configurations, which by suitable programming can implement a variety of functionalities that, in turn, can be exploited as basic operations in many application fields. Programmability enables by means of external control signals both chip reconfiguration for multifunction operation as well as chip stabilization against non-ideal operation due to fluctuations in environmental conditions and fabrication errors. Programming also allows activating parts of the chip, which are not essential for the implementation of a given functionality but can be of help in reducing noise levels through the diversion of undesired reflections. After some years where the Application Specific Photonic Integrated Circuit (ASPIC) paradigm has completely dominated the field of integrated optics, there is an increasing interest in PIP justified by the surge of a number of emerging applications that are and will be calling for true flexibility, reconfigurability as well as low-cost, compact and low-power consuming devices. This book aims to provide a comprehensive introduction to this emergent field covering aspects that range from the basic aspects of technologies and building photonic component blocks to the design alternatives and principles of complex programmable photonics circuits, their limiting factors, techniques for characterization and performance monitoring/control and their salient applications both in the classical as well as in the quantum information fields. The book concentrates and focuses mainly on the distinctive features of programmable photonics as compared to more traditional ASPIC approaches.

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26

Chan, Tony F., Jack Dongarra, Michael Berry, et al. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods (Miscellaneous Titles in Applied Mathematics Series No 43). Society for Industrial Mathematics, 1987.

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