Relevant bibliographies by topics / Order evaluation

Contents

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

Academic literature on the topic 'Order evaluation'

Author: Grafiati
Published: 28 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Order evaluation"

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OZBASI, Durmus. "Using Rank-order Judgments Scaling to Determine Students’ Evaluation Preferences." Eurasian Journal of Educational Research 19, no. 82 (2019): 1–18. http://dx.doi.org/10.14689/ejer.2019.82.4.

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Dunfield, Joshua. "Elaborating evaluation-order polymorphism." ACM SIGPLAN Notices 50, no. 9 (2015): 256–68. http://dx.doi.org/10.1145/2858949.2784744.

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Callaghan, Gill. "Evaluation and Negotiated Order." Evaluation 14, no. 4 (2008): 399–411. http://dx.doi.org/10.1177/1356389008095485.

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Fraser, Christopher W., and David R. Hanson. "Optimization of argument evaluation order." Information Processing Letters 24, no. 6 (1987): 391–95. http://dx.doi.org/10.1016/0020-0190(87)90116-5.

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Yang, Ming Hua, Yu Cai Dong, Ling Zhang, Jian Du, and Yan Xia Liu. "Synthetic Evaluation of Equipment Maintenance System Based on TOPSIS Method." Advanced Materials Research 772 (September 2013): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.772.394.

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A synthetic evaluation of equipment maintenance system effectiveness based on TOPSIS method is discussed in this article. The synthetic evaluation order of every system are given which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new system to the synthetic evaluation of diesel equipment maintenance system effectiveness.
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II, CHARLES G. PETERSEN. "AN EVALUATION OF ORDER PICKING POLICIES FOR MAIL ORDER COMPANIES." Production and Operations Management 9, no. 4 (2009): 319–35. http://dx.doi.org/10.1111/j.1937-5956.2000.tb00461.x.

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Tian, Jia Ping, Su Na Cao, Jia Xing Du, Ping Chen, and Huan Zhan. "Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method." Applied Mechanics and Materials 615 (August 2014): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.615.286.

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A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.
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Bailey, Kenneth, and Peter Tozer. "An Evaluation of Federal Order Reform." Journal of Dairy Science 84, no. 4 (2001): 974–86. http://dx.doi.org/10.3168/jds.s0022-0302(01)74556-0.

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Bransen, Jeroen, Atze Dijkstra, and S. Doaitse Swierstra. "Incremental evaluation of higher-order attributes." Science of Computer Programming 137 (April 2017): 98–124. http://dx.doi.org/10.1016/j.scico.2016.06.001.

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Palmer, Zachary, Theodore Park, Scott Smith, and Shiwei Weng. "Higher-order demand-driven symbolic evaluation." Proceedings of the ACM on Programming Languages 4, ICFP (2020): 1–28. http://dx.doi.org/10.1145/3408984.

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Dissertations / Theses on the topic "Order evaluation"

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Silva, Ramon Pereira da 1967. "An evaluation of low-order finite elements." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80024.

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Sravankumar, Veerapu, Navaneeth Malineni Jayaram, and Chandran Vivek. "Performance evaluation of higher order modulations in OFDM systems." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-28981.

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In this thesis we design and simulate OFDM (Orthogonal Frequency Division Multiplexing) to study the performance of the OFDM system at higher order modulation schemes. It is very important to evaluate performance of the communication system, to test the efficiency and quality of the service it can provide. We used Matlab program to design the functionality of OFDM, then BER (Bit Error Rate) is obtained to different SNR (Signal to Noise Ratio) values, for M-array PSK and M-array QAM modulations techniques. BER is widely used as performance measurement tool, it tells number of bits destroyed while the data is travelling from source to the destination, AWGN (Additive White Gaussian Noise) is used as transmission channel.
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Van, Euwen Jon. "An evaluation of order picking paths and storage strategies." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1174406031.

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Hagerlind, Simon. "Empirical evaluation of a stochastic model for order book dynamics." Thesis, Uppsala universitet, Matematiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-181603.

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Abstract A stochastic model for orderbook dynamics is proposed in Cont et al.(2010) and empirically evaluated in thisthesis. Arrival rates of limit, marketand cancellation orders are described interms of a Markov chain where thearrival rates are exponentiallydistributed. The model not onlyconsiders the best bid and ask queuesbut also additional price levels of theorder book. Methods for computingseveral quantities important to highfrequency trading are proposed usingLaplace transforms and continuedfractions. These quantities includeconditional probabilities such as theprobability of a price increasedepending on the profile of the orderbook. Computing these probabilities aresupposed to be easy enough to computeanalytically. However this was not thecase. We failed in the inversion of theLaplace transform methods and the mainreason is that the instructions in Contet al. (2010) are not adequate when itcomes to perform the inversion. Hence wedraw the conclusion that the method isno good for predicting short termbehavior of limit order books. For longterm applications the model can be usedto simulate the order book with goodresults.
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Schorn, Ellen Christine. "An evaluation of heuristics for in-the-aisle order picking." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25226.

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Hockenberry, James Richard. "Evaluation of uncertainty in dynamic, reduced-order power system models." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/46685.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (leaves 209-213).<br>With the advent of high-speed computation and the desire to analyze increasingly complex behavior in power systems, simulation techniques are gaining importance and prevalence. However, while simulations of large, interconnected power systems are feasible, they remain time-consuming. Additionally, the models and parameters used in simulations are uncertain, due to measurement uncertainty, the need to approximate complex behavior with low-order models and the inherent changing nature of the power system. This thesis explores the use of model reduction techniques to enable the study of uncertainty in large-scale power system models. The main goal of this thesis is to demonstrate that uncertainty analyses of transient simulations of large, interconnected power systems are possible. To achieve this, we demonstrate that a basic three stage approach to the problem yields useful results without significantly increasing the computational burden. The first stage is to reduce the order of the original power system model, which reduces simulation times and allows the system to be simulated multiple times in a reasonable time-frame. Second, the mechanics of the model reduction are closely studied; how uncertainties affect the reduction process and the parameters in the reduced-order model as well as how the process of reduction increases uncertainty are of particular interest. Third, the reduced-order model and its accompanying uncertainty description are used to study the uncertainty of the original model. Our demonstration uses a particular model reduction technique, synchronic modal equivalencing (SME), and a particular uncertainty analysis method, the probabilistic collocation method (PCM). Though our ideas are applicable more generally, a concrete demonstration of the principle is instructive and necessary. Further, while these particular techniques are not relevant to every system, they do apply to a broad class of systems and illustrate the salient features of our methodology. As mentioned above, a detailed analysis of the model reduction technique, in this case SME, is necessary. As an ancillary benefit of the thesis work, interesting theoretical results relevant to the SME algorithm, which is still under development, are derived.<br>by James R. Hockenberry.<br>Ph.D.
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Mitchell, Andrew. "Second-order learning in developmental evaluation for community-based sustainability." Thesis, De Montfort University, 2017. http://hdl.handle.net/2086/14305.

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It is increasingly common for complex social, economic and environmental policy concerns to be delivered via funded community-based projects. A project’s contribution is typically monitored and evaluated relative to pre-defined outcomes, supported by a set of indicators. Available research suggests that when judged against such criteria, the performance of many funded international developmental and community-based sustainability (CBS) projects are variable, with evidence suggesting that changes elicited are negligible in duration, type, and scale. However, evaluating project performance relative to pre-defined outcomes may overlook the practical learning accumulated by actors in realising key objectives under conditions afforded by the operational context. To address this gap, developmental evaluation (DE) foregrounds and supports project practitioner learning and innovation under dynamic, complex, and uncertain operating conditions. Applying the DE focus on project actor learning and innovation, the present research thematically analyses how practitioners in a funded CBS case study project make sense of their practice. Despite its explicit focus on learning however, DE has not articulated a coherent cognitive paradigm, and a contribution of the present study is to equip DE with a conceptual architecture drawn from the enactive cognitive science paradigm, rooted in an explicit accounting of complexity. Using this base, a prototype DE framework was designed and provisionally field-tested in the form of a set of prompts to be used with CBS practitioners to augment traditional monitoring and evaluation activities. This framework is intended to support practitioners in surfacing and capturing second-order learning about their practices and to explore opportunities for innovative responses to dynamic complex operational conditions. Recommendations are offered for further research and how these findings might be incorporated into future CBS design and funding considerations.
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Ribeca, Paolo. "Precise evaluation of universal quantities in second-order phase transitions." Paris 11, 2003. http://www.theses.fr/2003PA112233.

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En utilisant la théorie du Groupe de Renormalisation on peut prédire les valeurs de certaines quantités physiques (dites universelles) ; parmi elles on compte les exposants critiques des transitions de phase du deuxième ordre. Plusieurs méthodes théoriques peuvent être utilisées pour calculer des quantités universelles ; la méthode la plus précise est le développement perturbatif à dimension fixe (proposé par G. Parisi). Avec cette méthode, Nickel et al. Ont calculé vers la fin des années '70 les exposants critiques jusqu'au niveau de six boucles (et, plus récemment, un sous-ensemble des contributions à sept boucles). Dans ce travail de thèse, nous montrons comment automatiser le calcul sur ordinateur; du fait de la complexité du développement perturbatif, on ne peut espérer paramétrer et calculer les exposants critiques au niveau de sept boucles complètes qu'avec l'ordinateur. En particulier, nous présentons une technique générale pour paramétrer le développement perturbatif à n'importe quel ordre (déjà testé avec succès au niveau sept boucles complètes); même si le travail n'a pas encore été complété, cette technique (utilisée conjointement avec des algorithmes pour l'intégration automatique multidimensionnelle) nous a déjà permis de reproduire un sous-ensemble important des calculs précédents<br>Making use of Renormalization-Group theory, one can make predictions for values taken by some physical quantities (called universal); among them we have the critical exponents of second-order phase transitions. A lot of different theoretical methods can be used to calculate universal quantities; the most precise one is the pertirbative development at fixed dimension (originally proposed by G. Parisi). Making use of this method, Nickel and coworkers were able to calculate by the end of the 70's critical exponents up to six-loop level (and, more recently, a subset of seven loops). In our thesis we show how to automatize all the calculations by means of the computer; in fact, due to the complexity of the perturbative development only making use of the computer we can hope to parametrize and compute critical exponents up to full seven-loop level. In particular, we present a general technique to parametrize perturbative development to an arbitrary order (already tested with success at full seven-loop level); even if the work has not yet been completed, this technique (together with algorithms for automated multidimensional integration) has already allowed us to reproduce a substantial subset of previous calculations
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Trönnberg, Filip. "Empirical evaluation of a Markovian model in a limit order market." Thesis, Uppsala universitet, Matematiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176726.

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A stochastic model for the dynamics of a limit order book is evaluated and tested on empirical data. Arrival of limit, market and cancellation orders are described in terms of a Markovian queuing system with exponentially distributed occurrences. In this model, several key quantities can be analytically calculated, such as the distribution of times between price moves, price volatility and the probability of an upward price move, all conditional on the state of the order book. We show that the exponential distribution poorly fits the occurrences of order book events and further show that little resemblance exists between the analytical formulas in this model and the empirical data. The log-normal and Weibull distribution are suggested as replacements as they appear to fit the empirical data better.
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Ganapathysubramanian, Karthick. "Development and Evaluation of Order Batching Procedures for a Distribution Center." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1125602488.

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Books on the topic "Order evaluation"

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Mitchell, Andrew. Second-order Learning in Developmental Evaluation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99371-3.

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Prasātkun, Prāmōt. Birth order distribution as a family planning programme evaluation indicator. Institute for Population and Social Research, Mahidol University, 1987.

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Sen, Anup K. Graph search methods for non-order-preserving evaluation functions: Applications to job sequencing problems. Indian Institute of Management, 1995.

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Ad critique: How to deconstruct ads in order to build better advertising. SAGE, 2012.

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Jean-Maximillien De La Croix de Lafayette. Nation rating and rank order of United States colleges and universities. Academia Press of America, 1989.

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Prasātkun, Prāmōt. Report on birth order distribution as a family planning programme evaluation indicator. Institute for Population and Social Research, Mahidol University, 1987.

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Godfrey, Ann. Evaluation of the Southern Health and Social Services Board Children Order training (November 1995-March 1997): Second stage evaluation. Centre for Child Care Research, Queen's University of Belfast, 1998.

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Noble, Julie. Factors influencing differential achievement of higher-order thinking skills, as measured by PLAN. American College Testing Program, 1995.

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Writing test items to evaluate higher order thinking. Allyn and Bacon, 1997.

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A, Ross John. Elementary school reform and higher order reasoning in mathematics. s.n., 2000.

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Book chapters on the topic "Order evaluation"

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Mitchell, Andrew. "Second-order Learning Systems." In Second-order Learning in Developmental Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99371-3_3.

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Barker, Chris. "Evaluation order, crossover, and reconstruction." In Reconstruction Effects in Relative Clauses, edited by Manfred Krifka and Mathias Schenner. De Gruyter, 2018. http://dx.doi.org/10.1515/9783050095158-011.

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Høholdt, Tom, Jacobus H. Lint, and Ruud Pellikaan. "Order functions and evaluation codes." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63163-1_11.

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Danvy, Olivier, and Kristoffer HØgsbro Rose. "Higher-order rewriting and partial evaluation." In Rewriting Techniques and Applications. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0052377.

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Mitchell, Andrew. "Evaluating Complexity." In Second-order Learning in Developmental Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99371-3_2.

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Mitchell, Andrew. "Introduction." In Second-order Learning in Developmental Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99371-3_1.

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Mitchell, Andrew. "Community-based Sustainability Initiatives as Learning Systems." In Second-order Learning in Developmental Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99371-3_4.

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Mitchell, Andrew. "Concluding Remarks." In Second-order Learning in Developmental Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99371-3_5.

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Rossell, David, Veerabhadran Baladandayuthapani, and Valen E. Johnson. "Bayes Factors Based on Test Statistics Under Order Restrictions." In Bayesian Evaluation of Informative Hypotheses. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-09612-4_6.

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Dreier, Jan, and Peter Rossmanith. "Approximate Evaluation of First-Order Counting Queries." In Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA). Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976465.104.

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Conference papers on the topic "Order evaluation"

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Dunfield, Joshua. "Elaborating evaluation-order polymorphism." In ICFP'15: 20th ACM SIGPLAN International Conference on Functional Programming. ACM, 2015. http://dx.doi.org/10.1145/2784731.2784744.

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Li, Donglin, Otmane Ait-Mohamed, and Sa'ed Abed. "Towards First-Order Symbolic Trajectory Evaluation." In 37th International Symposium on Multiple-Valued Logic. IEEE, 2007. http://dx.doi.org/10.1109/ismvl.2007.57.

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Bransen, Jeroen, Atze Dijkstra, and S. Doaitse Swierstra. "Incremental Evaluation of Higher Order Attributes." In POPL '15: The 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. ACM, 2015. http://dx.doi.org/10.1145/2678015.2682541.

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Holland, Stephen D. "High-Sensitivity Air-Coupled Ultrasonic Imaging with the First-Order Symmetric Lamb Mode at Zero Group Velocity." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711688.

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Balas, Mark, Charles Hindman, and Paul Waters. "Control-Based Reduced Order Structures Models for Use in AeroServoElastic Simulations." In USAF Developmental Test and Evaluation Summit. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-6824.

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Nichols, Robert, Robert Tramel, and Pieter Buning. "Evaluation of Two High Order WENO Schemes." In 25th AIAA Applied Aerodynamics Conference. American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3920.

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Xiao-dan, Du, Du Yu-Ming, Yan Tao, and Liu Rong. "Evaluation of AR Model Order Selection Approaches." In 2009 International Forum on Information Technology and Applications (IFITA). IEEE, 2009. http://dx.doi.org/10.1109/ifita.2009.227.

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Grohe, Martin, and Nicole Schweikardt. "First-Order Query Evaluation with Cardinality Conditions." In SIGMOD/PODS '18: International Conference on Management of Data. ACM, 2018. http://dx.doi.org/10.1145/3196959.3196970.

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Halevi, Yoram. "Fractional order absolute vibration suppression (AVS) controllers." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Donald J. Leo and Pablo A. Tarazaga. SPIE, 2017. http://dx.doi.org/10.1117/12.2257918.

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CuiXuan and Sun Hua. "The Application of Secondary Fuzzy Comprehensive Evaluation in Enterprise Order Evaluation." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.712.

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Reports on the topic "Order evaluation"

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Huber, Hartmut G. Higher Order Software - Evaluation and Critique. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada198753.

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Chen, H., R. Zaharchuk, L. B. Harbaugh, and M. Klett. Assessment and evaluation of ceramic filter cleaning techniques: Task Order 19. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/49115.

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ARD, K. E. Evaluation of the Cask Transportation Facility Modifications (CTFM) compliance to DOE order 6430.1A. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/797542.

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McCray, Daniel B., Jeffery A. Smith, and Paul K. Childers. Nonmetals Test And Evaluation. Delivery Order 0006: Support for Aging Aircraft Technology Transition. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada448095.

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Rempt, Raymond D. Nondestructive Evaluation (NDE) Technology Initiatives Program (NTIP). Delivery Order 0030: Magnetoresistive Sensors for Eddy Current Imaging Nondestructive Evaluation (NDE). Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada425565.

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Kjersten, Brian. Arabic Optical Character Recognition (OCR) Evaluation in Order to Develop a Post-OCR Module. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada554465.

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Teets, Pamela S. Turbine Engine Research Center (TERC) Data System Enhancement and Test Article Evaluation. Delivery Order 0001. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada493268.

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Annis, Charles. Nondestructive Evaluation (NDE) Technology Initiatives (NTIP). Delivery Order 0039: Statistical Comparison of Competing Material Models. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415275.

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Neel, S. T. Nondestructive Evaluation (NDE) Technology Initiatives Program (NTIP) Delivery Order 0043: Upgrade of Computed Tomography Facility. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada425210.

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Amarchinta, Hemanth, and Ramana V. Grandhi. Structural Technology Evaluation Analysis Program (STEAP). Delivery Order 0025: Laser Peening for Reliable Fatigue Life. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada550435.

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