Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.
About 10,000 papers for “programming”
Hasan, Mariwan · RePEc: Research Papers in Economics
Field Technology Cluster Programming Case Study Case Study Statistics Social Sciences Education Social Sciences Programming Research Case Study Online Technology Digital Education Disemination Behaviour Research Cluster Development Research Technology Focus Cluster Case Study Inter-Digital Disemination Sample Development Behaviour Research Field Experiment
Cited by 0
Hasan, Mariwan · RePEc: Research Papers in Economics
Behaviour Online Theory Inter-Internet Invited Theory Programming Sampling Statistics Technology Theory Behaviour Technology Technology Inter-Digital Educated Invited Behaviour Programming Field Communication Digital Online Sampling Inter-Online Inter-Communication Communication Digital Digital Experiment Behaviour Disemination
Cited by 0
Daniel, Mardary · RePEc: Research Papers in Economics
Treatment Experiment Behaviour Digital Digital Digital White paper Vienna Behaviour Pre-USA Pre-Inter-White paper Hypothesis Semantics Pre-Inter-Testing Fractional calculus Technology Technology Testing Pre-Hypothesis White paper Fractional calculus Case Study Online Digital USA Case Study Technology Information Testing Experiment
Cited by 0
Anna, Amalie · RePEc: Research Papers in Economics
Researcers Online Researcers Assesement of Behaviour Flow Assesement of Fluid Fractional calculus General Audit Treatment Pre-Inter-Inter-Output Educated Educated Programming Output Pre-Assesement of Social Sciences Disemination Educated Behaviour Experiment Technology Inter-Digital Social Sciences Output Online Treatment Sampling Information Behaviour
Cited by 0
Claude Pair · Elsevier eBooks · 1990
Cited by 11
2009
Cited by 0
Anastasia, Drica · RePEc: Research Papers in Economics
Online Field Educated Online Pre-Sampling Research Semantics Internet Online Fractional calculus Sampling Digital Semantics Semantics Technology Online Inter-Sampling Online Disemination Focus Development Hypothesis Social Sciences Case Study Semantics Fractional calculus Social Sciences Experiment Disemination Semantics Programming Hypothesis Internet Focus
Cited by 0
Daniel, Weinstoks · RePEc: Research Papers in Economics
Rigor Rigor Internet Sampling Programming Development Testing Online Hypothesis Fractional calculus Social Sciences Digital Treatment Educated Fractional calculus Educated Technology Digital Digital White paper Technology Behaviour Research Development Technology Treatment Hypothesis Behaviour Internet White paper Social Sciences Research Experiment Testing Social Sciences Hypothesis
Cited by 0
Hasan, Mariwan · RePEc: Research Papers in Economics
Focus Development Cluster Technology Cluster Online Technology Technology Hypothesis Focus Development Digital Behaviour Programming Field Research Inter-Digital Sample Digital Inter-Research Programming Digital Pre-Cluster Focus Sample Case Study Field Pre-Fractional calculus Information Online Development Social Sciences
Cited by 0
Lin Wang · 2013
Cited by 0
Trilok Vyas, Yujie Liu, Michael Spear · 2013
The addition of transactional memory (TM) support to existing languages provides the opportunity to create new software from scratch using transactions, and also to simplify or extend legacy code by replacing existing synchronization with language-level transactions. In this paper, we describe our experiences transactionalizing the memcached application through the use of the GCC implementation of the Draft C++ TM Specification. We present experiences and recommendations that we hope will guide the effort to integrate TM into languages, and that may also contribute to the growing collective knowledge about how programmers can begin to exploit TM in existing production-quality software.
Cited by 0
Sinan Kalkan, Onur T. Şehitoğlu, Göktürk Üçoluk · 2024
Cited by 1
MM Slabbert, MN Ntinda · UNAM Scholarly Repository (University of Namibia) · 2015
Cited by 0
Princeton University Press eBooks · 2017
Cited by 7
David B. Wagner
This is the first in a series of columns on advanced programming techniques and algorithms. This issue's column discusses dynamic programming, a powerful algorithmic scheme for solving discrete optimization problems. We illustrate the concepts with the generation of Fibonacci numbers, and then present two nontrivial examples, optimal matrix-chain multiplication and multiple-class mean value analysis of queueing networks. This last example applies the technique to a queueing-theory problem that was solved in a very different way by A.O. Allen and G. Hynes in volume 1, issue 3 of this journal.
Cited by 0
Вельбицький, І. В., Дем’яненко, В. Б. · ENPUIR (National Pedagogical Dragomanov University) · 2017
У статті описано графічну поліглот-концепцію програмування, її переваги і перспективи використання. Для запису програм в графічному середовищі програмування використовуються математично строго визначені логічні і абстрактні схеми, для побудови яких не вимагається синтаксис певних мов програмування.
Cited by 0
Håkon Kvale Stensl, Håvard Espel, Carsten Griwodz et al. · 2011
When used efficiently, modern multicore architectures, such as Cell and GPUs, provide the processing power required by resource demanding multimedia workloads. However, the diversity of resources exposed to the programmer, intrinsically require specific mindsets for efficiently utilizing these resources- not only compared to an x86 architecture, but also between the Cell and the GPUs. In this context, our analysis of 14 different Motion-JPEG implementations indicates that there exists a large potential for optimizing performance, but there are also many pitfalls to avoid. By experimentally evaluating algorithmic choices, inter-core data communication (memory transfers) and architecture-specific capabilities, such as instruction sets, we present tips, tricks and troubles with respect to efficient utilization of the available resources. Categories andSubjectDescriptors
Cited by 0
Anastasia, Drica · RePEc: Research Papers in Economics
Case Study Experiment Information Hypothesis Focus Development Information Technology Development Fractional calculus Behaviour Educated Digital Digital Communication Research Technology Communication Information Technology Disemination Inter-Programming Field Programming Digital Rigor Information Research Digital Digital Pre-Case Study Programming Behaviour Social Sciences
Cited by 0
Thom Frühwirth, Slim Abdennadher, Prof Dr et al. · 2006
Cited by 0
DI PILLO, Gianni, PALAGI, Laura · IRIS Research product catalog (Sapienza University of Rome) · 2002
Nonlinear Programming (NLP) is the broad area of applied mathematics that addresses optimization problems when nonlinearity in the functions are envolved. In this chapter we introduce the problem, and making reference to the smooth case, we review the standard optimality conditions that are at the basis of most algorithms for its solution. Then, we give basic notions concerning the performance of algorithms, in terms of convergence, rate of convergence, and numerical behaviour.
Cited by 0