Relevant bibliographies by topics / Price fixing – Mathematical models

Academic literature on the topic 'Price fixing – Mathematical models'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Price fixing – Mathematical models"

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Upadhyaya, Yadav Mani. "Mathematical Analysis in Static Equilibrium of Economics: as Support to Microeconomics Course." Interdisciplinary Journal of Management and Social Sciences 1, no. 1 (October 1, 2020): 135–48. http://dx.doi.org/10.3126/ijmss.v1i1.34618.

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Microeconomics studies the economic behavior of individual decision-makers. To be able to make sound decisions in economics, the economist has designed mathematical models based on the differentiation of simple functions. Economics and mathematics are directly related as changes in quantities and variables affect the relationship and the direction of the consumer behavior to become better –off or worse-off. The main objectives of this study are microeconomic theories that may simplify or easily understandable through the mathematical calculation to illustrate the examples and calculate the equilibrium positions numerically. The study also aims to provide mathematical tools that manage to determine all the information necessary for decision making from a broad vision. The relationship between quantity and price may be better explained through mathematical notations. The supply and demand curve is designed to find the equilibrium point and it is better explained through mathematical equations. To explain, the methodology is used for a simple mathematical function of price with the help of a simple linear and nonlinear model of static analysis of the market equilibrium of Qd=Qs. This study concludes that it will greatly help college students, professionals, entrepreneurs, and in general anyone presents solved exercise and proposes problems, for the student to solve cases create graphs, table, and interpret and analyze results in the market and thus fixing the knowledge.
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Leangarun, Teema, Poj Tangamchit, and Suttipong Thajchayapong. "Stock Price Manipulation Detection Based on Mathematical Models." International Journal of Trade, Economics and Finance 7, no. 3 (June 2016): 81–88. http://dx.doi.org/10.18178/ijtef.2016.7.3.503.

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Spreen, Thomas H. "Price Endogenous Mathematical Programming Models and Trade Analysis." Journal of Agricultural and Applied Economics 38, no. 2 (August 2006): 249–53. http://dx.doi.org/10.1017/s1074070800022276.

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Takayama and Judge introduced the price endogenous mathematical programming model as an alternative to the traditional econometric approach to sector-level policy analysis. McCarl and Spreen provided a review of price endogenous mathematical programming models. In that paper, they showed how price endogeneity can be introduced into a standard firm-level linear programming model. The introduction of price endogeneity allows expansion of the firm-level specification to a market-level analysis. At the time of publication of McCarl and Spreen, however, the application of price endogenous mathematical programming models was limited by the availability of software packages that could directly solve such models. The typical application used linear supply and/or demand relationships, which resulted in a quadratic programming (QP) specification. The advent of MINOS in the 1980s and then its incorporation into GAMS has lifted the computation constraint. In the present day, numerous price endogenous models have been developed. I can lay claim to six such models.
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McCarl, Bruce A. "A Note on Fixing Misbehaving Mathematical Programs: Post-Optimality Procedures and GAMS-Related Software." Journal of Agricultural and Applied Economics 30, no. 2 (December 1998): 403–14. http://dx.doi.org/10.1017/s1074070800008385.

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AbstractMathematical programming formulations can yield faulty answers. Models can be unbounded, infeasible, or optimal with unrealistic answers. This article presents techniques for theory-based discovery of the cause of faulty models. The approaches are demonstrated in the context of linear programming. They have been computerized and interfaced using the General Algebraic Modeling System (GAMS), and are distributed free of charge through new GAMS versions and an online web page.
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Tyshkevich, V. N., V. A. Nosenko, A. V. Sarazov, and S. V. Orlov. "ELASTIC DEFORMATIONS DURING FLAT GRINDING OF LOW-RIGIDITY PRISMATIC WORKPIECES." IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, no. 8(255) (August 31, 2021): 42–46. http://dx.doi.org/10.35211/1990-5297-2021-8-255-42-46.

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The flat grinding of low-rigidity prismatic workpieces side surfaces is investigated. Mathematical models of the maximum elastic deformation of prismatic workpieces during fixing and machining have been developed. Contact deformations of the surfaces of the workpiece and the machine table are taken into account. An experimental verification of the developed models was carried out.
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Rodenberg, Ryan, and Elihu D. Feustel. "FORENSIC SPORTS ANALYTICS: DETECTING AND PREDICTING MATCH-FIXING IN TENNIS." Journal of Prediction Markets 8, no. 1 (June 17, 2014): 77–95. http://dx.doi.org/10.5750/jpm.v8i1.866.

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Despite some degree of lingering friction between sports leagues and wagering, the eradication of corruption in sports is one issue in which the interests of sports governing bodies, reputable gambling businesses, entities affiliated with the sports industry, and law enforcement are allied. This paper aims to: (i) detect match-fixing corruption in tennis and (ii) predict such match-fixing before it occurs. We first compare proxy measures of effort in fair matches versus possibly unfair matches – matches played in the first round, where wagering-induced manipulation is more likely. The results show that players exert less effort (tanking) in the first round, even when adjusting for the slightly greater difference in skill level in such matches. We next determine whether the gambling markets were able to identify fixing, tanking, or other types of manipulation before the match was played. Using two predictive tennis models (ELO, Common-Opponent) to determine the fair trading price of a tennis match, we find prima facie evidence of the betting markets being affected, with an average of 23 matches per year likely being manipulated or outright fixed each year. Finally, we determine whether fixed matches can be identified before they are played using predictive modeling and by observing real-time market price changes. We conclude that when the betting price has a large irrational move away from the fair model-predicted price, the move is indicative of a fixed match before it is played.
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Hahn, Atle. "Chern-Simons models on , torus gauge fixing, and link invariants I." Journal of Geometry and Physics 53, no. 3 (March 2005): 275–314. http://dx.doi.org/10.1016/j.geomphys.2004.07.001.

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Desaulniers, Guy, Timo Gschwind, and Stefan Irnich. "Variable Fixing for Two-Arc Sequences in Branch-Price-and-Cut Algorithms on Path-Based Models." Transportation Science 54, no. 5 (September 2020): 1170–88. http://dx.doi.org/10.1287/trsc.2020.0988.

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Variable fixing by reduced costs is a popular technique for accelerating the solution process of mixed-integer linear programs. For vehicle-routing problems solved by branch-price-and-cut algorithms, it is possible to fix to zero the variables associated with all routes containing at least one arc from a subset of arcs determined according to the dual solution of a linear relaxation. This is equivalent to removing these arcs from the network used to generate the routes. In this paper, we extend this technique to routes containing sequences of two arcs. Such sequences or their arcs cannot be removed directly from the network because routes traversing only one arc of a sequence might still be allowed. For some of the most common vehicle-routing problems, we show how this issue can be overcome by modifying the route-generation labeling algorithm in order to remove indirectly these sequences from the network. The proposed acceleration strategy is tested on benchmark instances of the vehicle-routing problem with time windows (VRPTW) and four variants of the electric VRPTW. The computational results show that it yields a significant speedup, especially for the most difficult instances.
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FATIBENE, LORENZO, and MAURO FRANCAVIGLIA. "MATHEMATICAL EQUIVALENCE VERSUS PHYSICAL EQUIVALENCE BETWEEN EXTENDED THEORIES OF GRAVITATIONS." International Journal of Geometric Methods in Modern Physics 11, no. 01 (December 16, 2013): 1450008. http://dx.doi.org/10.1142/s021988781450008x.

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We shall show that although Palatini [Formula: see text]-theories are equivalent to Brans–Dicke theories, still the first pass the Mercury precession of perihelia test, while the second do not. We argue that the two models are not physically equivalent due to different assumptions about free fall. We shall also go through perihelia test without fixing a conformal gauge (clocks or rulers) in order to highlight what can be measured in a conformal invariant way and what cannot. We shall argue that the conformal gauge is broken by choosing a definition of clock, rulers or, equivalently, of masses.
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Bogdanovich, V. I., M. G. Giorbelidze, I. A. Dokukina, and N. V. Surkova. "MATHEMATICAL MODELING OF RESIDUAL STRESSES IN PLASMA COATINGS TAKING INTO ACCOUNT THE PROCESS OF INCREASING LAYERS." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 22, no. 6 (2020): 14–20. http://dx.doi.org/10.37313/1990-5378-2020-22-6-14-20.

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Developed a mathematical model for determining residual stresses with increasing plasma coatings, taking into account the stresses arising upon cooling of the material from the final temperature to ambient temperature; tension that arises when removing the fastening devices and tension that existed in the substrate before spraying. The developed mathematical models are adapted for the most common cases of fixing the base used in the practice of coating. Experimental studies of residual stresses were carried out, which showed good convergence with the values of residual stresses obtained theoretically.
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Dissertations / Theses on the topic "Price fixing – Mathematical models"

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Thai, Doan Hoang Cau Australian Graduate School of Management Australian School of Business UNSW. "Analysing tacit collusion in oligopolistic electricity markets using a co-evolutionary approach." Awarded by:University of New South Wales. Australian Graduate School of Management, 2005. http://handle.unsw.edu.au/1959.4/22478.

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Wholesale electricity markets now operate in many countries around the world. These markets determine a spot price for electricity as the clearing price when generators bid in energy at various prices. As the trading in a wholesale electricity market can be seen as a dynamic repeated game, it would be expected that profit maximising generators learn to engage in tacit collusion to profitably increase spot market prices. This thesis investigates this tacit collusion of generators in oligopolistic electricity markets. We do not follow the approach of previous work in game theory that presupposes firms' collusive strategies to enforce collusion in an oligopoly. Instead, we develop a co-evolutionary approach (extending previous work in this area) using a genetic algorithm (GA) to co-evolve strategies for all generators in some stylised models of an electricity market. The bidding strategy of each generator is modelled as a set of bidding actions, one for each possible discrete state of the state space observed by the generator. The market trading interactions are simulated to determine the fitness of a particular strategy. The tacitly collusive outcomes and strategies emerging from computational experiments are thus obtained from the learning or evolutionary process instead of from any pre-specification. Analysing many of those emergent collusive outcomes and strategies. we are able to specify the mechanism of tacit collusion and investigate how the market environment can affect it. We find that the learned collusive strategies are similar to the forgiving trigger strategies of classical supergame theory (Green and Porter, 1984). Also using computational experiments, we can determine which characteristics of the market environment encourage or hinder tacit collusion. The findings from this thesis provide insights on tacit collusion in an oligopoly and policy implications from a learning perspective. With modelling flexibility, our co-evolutionary approach can be extended to study strategic behaviour in an oligopoly considering many other market characteristics.
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Yang, Kangle, and 楊康樂. "A uniform-price method for contract auctions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32003067.

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關惠貞 and Wai-ching Josephine Kwan. "Trend models for price movements in financial markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31211513.

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Kwong, Sunny Kai-Sun. "Price-sensitive inequality measurement." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25807.

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The existing inequality indexes in the economics literature (including the more sophisticated indexes of Muellbauer (1974) and Jorgenson-Slesnick (1984)), are found to be insensitive to relative price changes or are unjustifiable in terms of social evaluation ethics or both. The present research fills this gap in the literature by proposing a new index, named the Individual Equivalent Income (IEI) index. A household indirect utility function is hypothesized which incorporates certain attribute parameters in the form of equivalence scales. These attributes are demographic and environmental characteristics specific to a given household. This indirect utility function gives a number which represents the utility of each member of the household. A particular level of interpersonal comparison of utilities is assumed which gives rise to an exact individual utility indicator named equivalent income. A distribution of these equivalent incomes forms the basis of a price-sensitive relative inequality index. This index can be implemented in the Canadian context. Preferences are assumed to be nonhomothetic translog and demand data are derived from cross-section surveys and time-series aggregates. Based on demand data, the translog equivalent income function can be estimated and equivalent incomes imputed to all individuals in society. An Atkinson index of equivalent incomes is then computed to indicate the actual degree of inequality in Canada. The new IEI index is compared with other indexes based on a common data set. The main findings are: conventional indexes give bad estimates of the true extent of inequality and the IEI index, while providing a more accurate estimate, indicates distributive price impact in a predictable manner, i.e., food price inflation aggravates while transportation price inflation ameliorates the inequality problem.
Arts, Faculty of
Vancouver School of Economics
Graduate
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Cheng, Lap-yan, and 鄭立仁. "Extension of price-trend models with applications in finance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B37428408.

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Lu, Zhen Cang. "Price forecasting models in online flower shop implementation." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691395.

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Cao, Min, and 曹敏. "Models for delivery and price equilibrium and statistical quality control in supply chains." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38576090.

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Alsolami, Majdi. "Mathematical modelling of mid-term options price of Ijārah Sukūk." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/77864/.

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The main aim of this thesis is to study the pricing of options of Ijārah Sukūk for lifespan. The pricing formulae of mid-term call and put options are derived by computing the expected value under the risk neutral measure and using an appropriate condition of exercising the option at mid-term. The mid-term option prices with continuous Ijārah obtained using these formulae are compared with the prices of European and American options with dividend for lifespan. The comparison is done both analytically and numerically. The same analysis is done for callable and puttable Sukūk with Ijārah and compared with the prices of European and American callable and puttable bond with coupon for lifespan. We also study the relationship between callable Sukūk price and Ijārah rate by computing the duration and convexity of the callable Sukūk price. The same analysis is done for puttable Sukūk.
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Jin, Zengxiang, and 金增祥. "Price discovery in the property forward and spot markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38957759.

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Ma, Chi, and 馬芷. "Properties of real estate price indices." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31240707.

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Books on the topic "Price fixing – Mathematical models"

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Bhaskar, V. The competitive effects of price-floors. St. Andrews: St. Salvator's College, 1996.

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Böhnlein, Barbara. Multimarket contact, collusion, and market structure. Florence: European University Institute, 1994.

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Competition, collusion, and game theory. New Brunswick [N.J.]: AldineTransaction, 2007.

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Maussner, Alfred. Monopolistische Preisbildung und Nachfrageerwartungen in makroökonomischen Modellen. Tübingen: J.C.B. Mohr, 1992.

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Staiger, Robert W. Strategic use of antidumping law to enforce tacit international collusion. Cambridge, MA: National Bureau of Economic Research, 1989.

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Hajivassiliou, Vassilis A. Testing game-theoretic models of price fixing behaviour. London: Suntory and Toyota International Centres for Economics and Related Disciplines, 1997.

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Gaspar, Raquel M. Credit risk & forward price models. Stockholm: Stockholm School of Economics, 2006.

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Fershtman, Chaim. A dynamic oligopoly with collusion and price wars. Cambridge, MA: National Bureau of Economic Research, 1999.

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Knittel, Christopher R. Tacit collusion in the presence of cyclical demand and endogenous capacity levels. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Peters, Michael. Ex ante price offers in matching games. Toronto: University of Toronto, Department of Economics and Institute for Policy Analysis, 1985.

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Book chapters on the topic "Price fixing – Mathematical models"

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Scott, Laurie C., and Yong Zeng. "A Class of Multivariate Micromovement Models of Asset Price and Their Bayesian Model Selection via Filtering." In Institute of Mathematical Statistics Collections, 123–36. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000345.

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Andreev, Nikolay. "Mathematical Models of Price Impact and Optimal Portfolio Management in Illiquid Markets." In Financial Econometrics and Empirical Market Microstructure, 1–11. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09946-0_1.

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Johnston, Craig M. T., Brad Stennes, and G. Cornelisvan Kooten. "Modeling bilateral forest products trade." In International trade in forest products: lumber trade disputes, models and examples, 43–82. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0043.

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Abstract The focus in this chapter is on the development of mathematical programming models used to model bilateral forest products trade. Theoretical outlines are provided of a multi-region, single product trade model and of an integrated, multi-region, multi-product trade model. The objective function and constraints are described mathematically, while the analysis takes into account horizontal and vertical chains and the need to calibrate the model using observed trade flows. Data sources are discussed, and the GAMS code is provided for the uncalibrated and calibrated versions of the model. The Canada-U.S. softwood lumber dispute is the raison d'être for much applied work in modeling forest products trade, especially on Canada's side. In this chapter, we examine several spatial price equilibrium (SPE) trade models that are currently used to investigate the implications of trade barriers imposed on Canadian exports of softwood lumber to the United States. The reason we consider bilateral trade is so that we can determine the impacts of trade restrictions on various regions in North America. We begin in the next section by specifying a general but vertically integrated SPE trade model.
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Johnston, Craig M. T., Brad Stennes, and G. Cornelisvan Kooten. "Modeling bilateral forest products trade." In International trade in forest products: lumber trade disputes, models and examples, 43–82. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248234.0004.

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Abstract The focus in this chapter is on the development of mathematical programming models used to model bilateral forest products trade. Theoretical outlines are provided of a multi-region, single product trade model and of an integrated, multi-region, multi-product trade model. The objective function and constraints are described mathematically, while the analysis takes into account horizontal and vertical chains and the need to calibrate the model using observed trade flows. Data sources are discussed, and the GAMS code is provided for the uncalibrated and calibrated versions of the model. The Canada-U.S. softwood lumber dispute is the raison d'être for much applied work in modeling forest products trade, especially on Canada's side. In this chapter, we examine several spatial price equilibrium (SPE) trade models that are currently used to investigate the implications of trade barriers imposed on Canadian exports of softwood lumber to the United States. The reason we consider bilateral trade is so that we can determine the impacts of trade restrictions on various regions in North America. We begin in the next section by specifying a general but vertically integrated SPE trade model.
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Davis, Mark H. A. "6. Fund management." In Mathematical Finance: A Very Short Introduction, 94–105. Oxford University Press, 2019. http://dx.doi.org/10.1093/actrade/9780198787945.003.0006.

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‘Fund management’ discusses the objective to form portfolios of assets so as to maximize the investment return. A mathematical finance-oriented approach to optimal investment, in the context of the Black–Scholes price model, was proposed by Robert Merton in 1969. Fund management is a huge industry, and has become much more technical with the emergence of hedge funds deploying sophisticated strategies. There have been many attempts at constructing mathematical models for asset allocation that match real market behaviour more closely. The basic problem is that markets appear so erratic. Is there anything about them that is more invariant? The scenario tree model for long-term asset liability management is explained.
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Frydman, Roman, and Michael D. Goldberg. "Opening Models of Asset Prices and Risk to Nonroutine Change." In Rethinking Expectations. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691155234.003.0007.

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This chapter considers an alternative approach to economic analysis, Imperfect Knowledge Economics (IKE), and introduces a model of asset prices and risk that has explicit mathematical microfoundations and yet remains open to nonroutine change. The IKE model consists of representations of individuals' preferences, forecasting behavior, constraints, and decision rules in terms of a set of causal (often called “informational”) variables, which portray the influence of economic policy, institutions, and other features of the social context. It also entails an aggregation rule and processes for the informational variables. The chapter examines irregular swings in asset prices and their relationship to financial risk. It also presents an IKE account of asset price swings before concluding with an analysis of contingent predictions of long swings and their compatibility with rationality.
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Wang, Gzhi. "Multinational Enterprise Adaptation Dynamics, Mathematical Modelling, and Empirical Analysis." In Theoretical and Applied Mathematics in International Business, 1–20. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8458-2.ch001.

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Using an applied mathematics approach, this chapter embeds algorithmic measures into cultural theory in research on international business. The specialized area is concerned with adaptation of multinational enterprise (MNE) cross-borders in which how dynamic functions can strengthen the argument by producing robust models. The chapter contributes to the extant literature by offering a set of mechanisms that can be used by MNEs in adapting to a new or complex environment where culture can be diverse and policy choice is challenging. The mechanism by driving an adaptive approach, in particular, addresses a research issue that is persistent in cultural transition studies. The issue is distinguished from the standard economic model in that individual or rational actors have a fixed set of independent preferences (i.e., decision choice based on price, benefit, or rules of the game), uninfluenced by the behavior of others or the social settings within which they operate. The current study addresses the issue by demonstrating that a range of socio-cultural factors can influence behavior.
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Shubik, Martin, and Eric Smith. "Minimal Institutions: Game Theory and Gaming." In The Guidance of an Enterprise Economy. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/9780262034630.003.0002.

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The General Equilibrium system provides a pre-institutional modeling structure appropriate to studying many allocative properties of the price system. The economies we live in ere encompassed by their polities and societies. The task laid out here is to indicate how to build process models of the economy that are consistent with the General Equilibrium system, but build out in a systematic manner towards the multitude of institutions that are the carriers of process in an ongoing society. It is argued here that this can be done in such a manner that there is a natural cascade of process models consistent with General Equilibrium: but these become progressively more complex as new functions are required to support the dynamics of the society. The first step into a mathematical institutional economics involves the invention of markets and money and the endogenization of price formation.
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Ramanujam, Elangovan, L. Rasikannan, S. Viswa, and B. Deepan Prashanth. "Predictive Strength of Ensemble Machine Learning Algorithms for the Diagnosis of Large Scale Medical Datasets." In Applications of Big Data in Large- and Small-Scale Systems, 260–81. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6673-2.ch016.

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Machine learning is not a simple technology but an amazing field having more and more to explore. It has a number of real-time applications such as weather forecast, price prediction, gaming, medicine, fraud detection, etc. Machine learning has an increased usage in today's technological world as data is growing in volumes and machine learning is capable of producing mathematical and statistical models that can analyze complex data and generate accurate results. To analyze the scalable performance of the learning algorithms, this chapter utilizes various medical datasets from the UCI Machine Learning repository ranges from smaller to large datasets. The performance of learning algorithms such as naïve Bayes, decision tree, k-nearest neighbor, and stacking ensemble learning method are compared in different evaluation models using metrics such as accuracy, sensitivity, specificity, precision, and f-measure.
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Dairo, Adeolu, and Krisztián Szűcs. "Fuzzy Expert Pricing Systems and Optimization Techniques in Marketing Science." In Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200705.

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Despite the advancement in the mathematical models for solving and modeling marketing problems, there exists gap between model predictions and market reality. Fuzzy logic bridges this gap by providing marketers with the opportunity of combining robust human experts in the form of linguistic rules to formulate a knowledge-base. These rules are systematically developed into a marketing tool which provides intelligent pricing decision support for marketers in a dynamic and competitive environment. In this paper, these expert pricing systems which are designed and developed to help businesses in pricing decision-making are examined. Price-Strat, FuzzyPrice, and exPrice expert pricing systems are compared and discussed. These three expert pricing systems are explored along with their fuzzy development approach, effectiveness, and attributes in pricing products and services.
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Conference papers on the topic "Price fixing – Mathematical models"

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Arkit, Aleksandra. "The existence of globally stable price mechanisms for pure exchange models with upper semicontinuous multivalued excess demand." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-1.

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Ariff, Noratiqah Mohd, Nor Hashimah Zamhawari, and Mohd Aftar Abu Bakar. "Time series ARIMA models for daily price of palm oil." In THE 2ND ISM INTERNATIONAL STATISTICAL CONFERENCE 2014 (ISM-II): Empowering the Applications of Statistical and Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4907457.

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Suharsono, Agus, Auliya Aziza, and Wara Pramesti. "Comparison of vector autoregressive (VAR) and vector error correction models (VECM) for index of ASEAN stock price." In INTERNATIONAL CONFERENCE AND WORKSHOP ON MATHEMATICAL ANALYSIS AND ITS APPLICATIONS (ICWOMAA 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5016666.

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Amouzgar, Kaveh, and Niclas Stromberg. "An Approach Towards Generating Surrogate Models by Using RBFN With a Priori Bias." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34948.

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In this paper, an approach to generate surrogate models constructed by radial basis function networks (RBFN) with a priori bias is presented. RBFN as a weighted combination of radial basis functions only, might become singular and no interpolation is found. The standard approach to avoid this is to add a polynomial bias, where the bias is defined by imposing orthogonality conditions between the weights of the radial basis functions and the polynomial basis functions. Here, in the proposed a priori approach, the regression coefficients of the polynomial bias are simply calculated by using the normal equation without any need of the extra orthogonality prerequisite. In addition to the simplicity of this approach, the method has also proven to predict the actual functions more accurately compared to the RBFN with a posteriori bias. Several test functions, including Rosenbrock, Branin-Hoo, Goldstein-Price functions and two mathematical functions (one large scale), are used to evaluate the performance of the proposed method by conducting a comparison study and error analysis between the RBFN with a priori and a posteriori known biases. Furthermore, the aforementioned approaches are applied to an engineering design problem, that is modeling of the material properties of a three phase spherical graphite iron (SGI). The corresponding surrogate models are presented and compared.
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5

Carraretto, Cristian. "Optimum Management of Cogeneration Power Plants With Thermal Storage in Day-Ahead Electricity Markets." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43880.

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The development of proper tools for power plants production planning is becoming crucial to profitably compete in a deregulated market scenario. Two numerical techniques, the former based on the dynamic programming, the latter on an original real-coded genetic algorithm, are suggested in this paper to optimize the management of cogeneration power plants with thermal storage. Detailed mathematical models are required to simulate plant part-load performance in order to evaluate possible operation plans profitability. Electricity price trends, forecasted from market analyses, are used as input data. Technical constrains and those derived from the market characteristics are included in the optimization problem. The suggested approaches are applied to some possible market situations, typical of different seasons and competition intensities. Results obtained are compared in terms of accuracy and resolution time. Iterative analyses are also performed to assess possible management flexibility improvements resulting from different design choices of the cogeneration system.
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Pe´rez Sa´nchez, Mari´a M., David Balam Tamayo, and Ricardo H. Cruz Estrada. "Design and Construction of a Dual Axis Passive Solar Tracker, for Use on Yucata´n." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54428.

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In this investigation, we propose to use the thermal expansion properties of metals in a bimetallic strip as a base of operation of a passive solar tracker. The design process involved the determination of all aspects necessary to make a first prototype based on requirements and operating conditions previously identified. Predictive mathematical models were used to decide critical aspects. Certainly, some aspects of the design were determined experimentally to ensure the proper functioning of the solar tracker. The product of this research was the construction of a prototype with the ability to be placed with an average angular difference of 25 degrees to the position of the sun, under controlled conditions. The device created is a passive solar tracker with two degrees of freedom, one used to track the sun daily, operates automatically actuated by the bimetallic strip, the other one is manually adjusted in seasonal changes to compensate the variation in the decline of the sun along the year. Although the accuracy of the system is low, the cost of production is well below the purchase price of any commercial solar tracker, and its construction is simple, making it an economical alternative to increase the production of photovoltaic energy on a PV panel currently fixed.
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Yu, Yang, Changchun Wu, Xiaokai Xing, and Lili Zuo. "Energy Saving for a Chinese Crude Oil Pipeline." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28034.

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The Dongying-Linyi Crude Oil Pipeline, transporting the crude oil from Shengli Oilfield to the outside, is one of the most important pipelines in East China. It is of great significance for saving energy, reducing emissions and improving the economy by optimizing pipeline operation. By analyzing the daily operation reports and monthly energy consumption reports, the energy consumption situation of the pipeline is revealed. Then the crude oil from Shengli Oilfield is collected, and its physical property is tested and researched. Based on the topological structure, the technological process and the operation philosophy of the pipeline, the mathematical models for the optimal operation and the energy consumption are built and the corresponding algorithm is introduced. With the models and the algorithms mentioned above, a computer software is developed for the operation simulation and optimization of the pipeline. Combining with practice, three energy-saving measures for the pipeline are analyzed, including reduction of oil heating temperature, operation matching with peak-valley electricity price and operation matching with the combination of flow rates in a planned operation period. In addition, these energy-saving measures are evaluated by the software with several examples. It turns out that: the first measure can considerably reduce the energy consumption and the energy consumption cost of the pipeline; the second could reduce the energy consumption cost of the pipeline a lot, while may make the energy consumption go higher a little; the third could slightly lower the equivalent energy consumption and the energy cost at the same time, but the effect of it is not obvious.
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