Relevant bibliographies by topics / Implementation and Optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Implementation and Optimization'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Implementation and Optimization"

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Bassil, Youssef. "Implementation of Combinatorial Algorithms using Optimization Techniques." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 660–66. http://dx.doi.org/10.31142/ijtsrd22925.

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Ballantyne, Michael, Mitch Gamburg, and Jason Hemann. "Compiled, Extensible, Multi-language DSLs (Functional Pearl)." Proceedings of the ACM on Programming Languages 8, ICFP (2024): 64–87. http://dx.doi.org/10.1145/3674627.

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Implementations of domain-specific languages should offer both extensibility and performance optimizations. With the new syntax-spec metalanguage in Racket, programmers can easily create DSL implementations that are both automatically macro-extensible and subject to conventional compiler optimizations. This pearl illustrates this approach through a new implementation of miniKanren, a widely used relational programming DSL. The miniKanren community has explored, in separate implementations, optimization techniques and a wide range of extensions. We demonstrate how our new miniKanren implementat
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Gianamore, David. "Advanced control implementation optimization." ISA Transactions 30, no. 2 (1991): 69–74. http://dx.doi.org/10.1016/0019-0578(91)90042-4.

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Youssef, Bassil. "Implementation of Combinatorial Algorithms using Optimization Techniques." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 660–66. https://doi.org/10.31142/ijtsrd22925.

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In theoretical computer science, combinatorial optimization problems are about finding an optimal item from a finite set of objects. Combinatorial optimization is the process of searching for maxima or minima of an unbiased function whose domain is a discrete and large configuration space. It often involves determining the way to efficiently allocate resources used to find solutions to mathematical problems. Applications for combinatorial optimization include determining the optimal way to deliver packages in logistics applications, determining taxis best route to reach a destination address,
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Vaughn, Susan. "Optimization Education After Project Implementation." Journal for Nurses in Staff Development (JNSD) 27, no. 2 (2011): E1—E4. http://dx.doi.org/10.1097/nnd.0b013e31820eefe4.

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Lindquist, Will, David Darwin, JoAnn Browning, Heather A. K. McLeod, Jiqiu Yuan, and Diane Reynolds. "Implementation of concrete aggregate optimization." Construction and Building Materials 74 (January 2015): 49–56. http://dx.doi.org/10.1016/j.conbuildmat.2014.10.027.

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Liu, Guoxiao, Keting Jia, Puwen Wei, and Lei Ju. "High-Performance Hardware Implementation of MPCitH and Picnic3." IACR Transactions on Cryptographic Hardware and Embedded Systems 2024, no. 2 (2024): 190–214. http://dx.doi.org/10.46586/tches.v2024.i2.190-214.

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Picnic is a post-quantum digital signature, the security of which relies solely on symmetric-key primitives such as block ciphers and hash functions instead of number theoretic assumptions. One of the main concerns of Picnic is the large signature size. Although Katz et al.’s protocol (MPCitH-PP) significantly reduces the size of Picnic, the involvement of more parties in MPCitH-PP leads to longer signing/verification times and more hardware resources. This poses new challenges for implementing high-performance Picnic on resource-constrained FPGAs. So far as we know, current works on the hardw
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Abed, Sa’ed, Reem Jaffal, Bassam Mohd, and Mohammad Alshayeji. "FPGA Modeling and Optimization of a SIMON Lightweight Block Cipher." Sensors 19, no. 4 (2019): 913. http://dx.doi.org/10.3390/s19040913.

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Security of sensitive data exchanged between devices is essential. Low-resource devices (LRDs), designed for constrained environments, are increasingly becoming ubiquitous. Lightweight block ciphers provide confidentiality for LRDs by balancing the required security with minimal resource overhead. SIMON is a lightweight block cipher targeted for hardware implementations. The objective of this research is to implement, optimize, and model SIMON cipher design for LRDs, with an emphasis on energy and power, which are critical metrics for LRDs. Various implementations use field-programmable gate a
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., Sharath D. "OPTIMIZATION AND IMPLEMENTATION OF PARALLEL SQUARER." International Journal of Research in Engineering and Technology 03, no. 06 (2014): 423–29. http://dx.doi.org/10.15623/ijret.2014.0306078.

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Dai, Guangming, Maocai Wang, Lei Peng, and Ruijie Qin. "Implementation And Optimization For Tate Pairing." Intelligent Automation & Soft Computing 17, no. 5 (2011): 607–17. http://dx.doi.org/10.1080/10798587.2011.10643174.

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Dissertations / Theses on the topic "Implementation and Optimization"

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Bruccoleri, Christian. "Flower constellation optimization and implementation." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2404.

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Jerez, Juan Luis. "Custom optimization algorithms for efficient hardware implementation." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12791.

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The focus is on real-time optimal decision making with application in advanced control systems. These computationally intensive schemes, which involve the repeated solution of (convex) optimization problems within a sampling interval, require more efficient computational methods than currently available for extending their application to highly dynamical systems and setups with resource-constrained embedded computing platforms. A range of techniques are proposed to exploit synergies between digital hardware, numerical analysis and algorithm design. These techniques build on top of parameterisa
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Irshad, Saba, and Purna Chandra Nepal. "Rise Over Thermal Estimation Algorithm Optimization and Implementation." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4023.

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The uplink load for the scheduling of Enhanced-Uplink (E-UL) channels determine the achievable data rate for Wideband Code Division Multiple Access (WCDMA) systems, therefore its accurate measurement carries a prime significance. The uplink load also known as Rise-over-Thermal (RoT), which is the quotient of the Received Total Wideband Power (RTWP) and the Thermal Noise Power floor. It is a major parameter which is calculated at each Transmission Time Interval (TTI) for maintaining cell coverage and stability. The RoT algorithm for evaluation of uplink load is considered as a complex and resou
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Karlsson, Victor, and Susanna Olsson. "Implementation of dynamic route optimization - drivers and barriers." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150134.

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Svevia is a company working with installation, occupancy and operation of infrastructure. They are currently testing and developing a new system called dynamic route optimization (DynOpt) in cooperation with B and M Systemutveckling. This system is able to contribute to a series of improvements for the company, such as automatization of certain processes, conclude demand on a more local level and create dynamic optimized routes which in the best way handles the determined local demands. Svevia sees great potentials of profits with the system, thereby has an interest of a support for decision-m
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Banjac, Goran. "Operator splitting methods for convex optimization : analysis and implementation." Thesis, University of Oxford, 2018. https://ora.ox.ac.uk/objects/uuid:17ac73af-9fdf-4cf6-a946-3048da3fc9c2.

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Convex optimization problems are a class of mathematical problems which arise in numerous applications. Although interior-point methods can in principle solve these problems efficiently, they may become intractable for solving large-scale problems or be unsuitable for real-time embedded applications. Iterations of operator splitting methods are relatively simple and computationally inexpensive, which makes them suitable for these applications. However, some of their known limitations are slow asymptotic convergence, sensitivity to ill-conditioning, and inability to detect infeasible problems.
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Safi, Mohammed. "Bridge Life Cycle Cost Optimization : Analysis, Evaluation & Implementation." Thesis, KTH, Civil and Architectural Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11908.

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<p>In infrastructure construction projects especially bridge investments, the most critical decisions that significantly affect the whole bridge LCC are the early stages decisions. Clearly, it's more beneficial to correctly choose the optimum bridge than to choose the optimum construction or repair method.</p><p>The ability of a bridge to provide service over time demands appropriate maintenance by the agency. Thus the investment decision should consider not only the initial activity that creates a public good, but also all future activities that will be required to keep that investment availa
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Abed, El-Fattah Safi Mohammed. "Bridge Life Cycle Cost Optimization : Analysis, Evaluation, & Implementation." Thesis, KTH, Bro- och stålbyggnad, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-36944.

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Müllner, Marie. "Optimization and implementation of gold-nanoparticles for medical imaging." Diss., Ludwig-Maximilians-Universität München, 2015. http://nbn-resolving.de/urn:nbn:de:bvb:19-182484.

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Gina, Ervin. "Implementation and Optimization of an Inverse Photoemission Spectroscopy Setup." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4050.

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Inverse photoemission spectroscopy (IPES) is utilized for determining the unoccupied electron states of materials. It is a complementary technique to the widely used photoemission spectroscopy (PES) as it analyzes what PES cannot, the states above the Fermi energy. This method is essential to investigating the structure of a solid and its states. IPES has a broad range of uses and is only recently being utilized. This thesis describes the setup, calibration and operation of an IPES experiment. The IPES setup consists of an electron gun which emits electrons towards a sample, where photons are
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Lee, Bin Hong Alex. "Empty container logistics optimization : an implementation framework and methods." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90715.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 68-70).<br>Empty container logistics is a huge cost component in an ocean carrier's operations. Managing this cost is important to ensure profitability of the business. This thesis proposes a 3-stage framework to handle empty container logistics with cost management as the objective. The first stage studies the forecasting of laden shipment demand, which
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Books on the topic "Implementation and Optimization"

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Chadderton, Ronald A. Implementation and optimization of distribution flushing programs. AWWA Research Foundation and American Water Works Association, 1992.

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1935-, Zheng Quan, ed. Integral global optimization: Theory, implementation, and applications. Springer-Verlag, 1988.

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Davis, Justin, and Robert Reese. Finite State Machine Datapath Design, Optimization, and Implementation. Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79776-7.

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Camil, Demetrescu, Goldberg Andrew V, and Johnson David S. 1945-, eds. The shortest path problem: Ninth DIMACS implementation challenge. American Mathematical Society, 2009.

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Vasfi, Gucer, and International Business Machines Corporation. International Technical Support Organization., eds. IBM Tivoli Monitoring: Implementation and performance optimization for large scale environments. International Technical Support Organizatioin, 2008.

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Travis, Kerzic, and United States. National Aeronautics and Space Administration., eds. mGA1.0: A common LISP implementation of a messy genetic algorithm. Research Institute for Computing and Information Systems, University of Houston, Clear Lake, 1990.

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Travis, Kerzic, and United States. National Aeronautics and Space Administration., eds. mGA1.0: A common LISP implementation of a messy genetic algorithm. Research Institute for Computing and Information Systems, University of Houston, Clear Lake, 1990.

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United States. National Aeronautics and Space Administration., ed. Implementation of a multiblock sensitivity analysis method in numerical aerodynamic shape optimization: Abstract. National Aeronautics and Space Administration, 1995.

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Jarke, Matthias. Query optimization in KBMS: Overview, research issues, and concepts for a Telos implementation. University of Toronto, Dept. of Computer Science, 1989.

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Zhao, Wei. Challenges in Design and Implementation of Middlewares for Real-Time Systems. Springer US, 2001.

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Book chapters on the topic "Implementation and Optimization"

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Maimon, Oded, Eugene Khmelnitsky, and Konstantin Kogan. "Implementation Methodology." In Applied Optimization. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2834-7_8.

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Hürlimann, Tony. "The Implementation." In Applied Optimization. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-5793-4_9.

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Sciore, Edward. "Query Optimization." In Database Design and Implementation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33836-7_15.

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Sanchez, Ernesto, Massimiliano Schillaci, and Giovanni Squillero. "Implementation details." In Evolutionary Optimization: the µGP toolkit. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09426-7_11.

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Tawarmalani, Mohit, and Nikolaos V. Sahinidis. "The Implementation." In Nonconvex Optimization and Its Applications. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3532-1_7.

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Solnon, Christine, and Narendra Jussien. "Implementation Issues." In Ant Colony Optimization and Constraint Programming. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557563.ch11.

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Dolzhenko, Viktoria. "Implementation of Optimization Algorithms." In Algorithmic Trading Systems and Strategies: A New Approach. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0357-4_7.

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H. M. Eid, Pedro, Filipe P. Azevedo, Nuno C. C. Lourenço, and Ricardo M. F. Martins. "Model Implementation and Optimization." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87105-4_4.

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Ferris, Michael C., and Todd S. Munson. "Interfaces to PATH 3.0: Design, Implementation and Usage." In Computational Optimization. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5197-3_11.

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Chapela, Victor, Regino Criado, Santiago Moral, and Miguel Romance. "Towards the Implementation of the Model." In SpringerBriefs in Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26423-3_7.

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Conference papers on the topic "Implementation and Optimization"

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Nabhan, M. Bassam, Nader Barsoum, G. W. Weber, and Pandian Vasant. "EFFECTIVE IMPLEMENTATION OF RELIABILITY CENTERED MAINTENANCE." In POWER CONTROL AND OPTIMIZATION: Proceedings of the 3rd Global Conference on Power Control and Optimization. AIP, 2010. http://dx.doi.org/10.1063/1.3459791.

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Vitek, Jan. "Session details: Optimization." In PLDI '10: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2010. http://dx.doi.org/10.1145/3254328.

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Hind, Michael. "Session details: Optimization." In PLDI05: ACM SIGPLAN Conference on Programming Language Design and Implementation 2005. ACM, 2005. http://dx.doi.org/10.1145/3249492.

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Hendren, Laurie. "Session details: Optimization." In PLDI '12: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2012. http://dx.doi.org/10.1145/3250588.

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Tappeta, Ravindra, Gopivallabha Rao, and Peter Milanowski. "Practical Implementation of Robust Design Optimization." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-6980.

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Wu, Chenggang. "Session details: Loop optimization." In PLDI '12: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2012. http://dx.doi.org/10.1145/3250592.

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Pande, Santosh. "Session details: Code optimization II." In PLDI03: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2003. http://dx.doi.org/10.1145/3244051.

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Ebcioglu, Ebcioglu. "Session details: Code optimization III." In PLDI03: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2003. http://dx.doi.org/10.1145/3244052.

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Hall, Mary. "Session details: Code optimization I." In PLDI03: ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 2003. http://dx.doi.org/10.1145/3244046.

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Braun, Robert, Peter Gage, Ilan Kroo, and Ian Sobieski. "Implementation and performance issues in collaborative optimization." In 6th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4017.

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Reports on the topic "Implementation and Optimization"

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Muir, David F. Optimization and Implementation of Long Nerve Allografts. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada609747.

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Muir, David F. Optimization and Implementation of Long Nerve Allografts. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada589046.

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Cary D. Brock. Economic Implementation and Optimization of Secondary Oil Recovery. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/908227.

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Williams, Samuel, Dhiraj Kalamkar, Amik Singh, et al. Implementation and Optimization of miniGMG - a Compact Geometric Multigrid Benchmark. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1136783.

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Apostolatos, A., B. Keith, C. Soriano, and R. Rossi. D6.1 Deterministic optimization software. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.018.

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This deliverable focuses on the implementation of deterministic optimization algorithms and problem solvers within KRATOS open-source software. One of the main challenges of optimization algorithms in Finite-Element based optimization is how to get the gradient of response functions which are used as objective and constraints when this is not available in an explicit form. The idea is to use local sensitivity analysis to get the gradient of the response function(s)
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Durfee, Justin David, Christopher Rawls Frazier, Bryan Arguello, Alisa Bandlow, Jared Lee Gearhart, and Katherine A. Jones. Contingency Contractor Optimization Phase 3 Sustainment Cost by JCA Implementation Guide. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1367436.

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Atz, Milos, and Florent Heidet. Implementation of an Orificing Optimization Algorithm in the DASSH Subchannel Analysis Code. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1896893.

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Sjostrom, Travis. Equation of State Optimization and Uncertainty Quantization: Implementation in the LANL EOS Production Code OpenSesame. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1893646.

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Howard, Heidi, Chad Helmle, Raina Dwivedi, and Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39480.

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As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for complian
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Brock P.E., Cary D. Economic Implementation and Optimization of Secondary Oil Recovery Process: St. Mary West Field, Lafayette County, Arkansas. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/808644.

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