地方高校数学建模教学模式的探索与实践

针对地方高校学生的特点和培养目标,探索了地方高校以数学建模竞赛、数学模型课、数学实验课为中心的数学建模教学模式的步骤、措施和方法;总结了地方高校数学建模竞赛活动的实践经验.     

社区大学数学建模教学及其评估

20世纪以来 ,数学的应用已深入到所有重要学科 ,数学建模也以其广泛的参与性促进了科学技术与经济建设的紧密结合 .我国普通高校数学建模竞赛活动发展迅速 ,而社区大学数学建模教学进展缓慢 .1 996年 ,在三维教学模式研究的基础上 ,丰台职大开设了数学建模新课 ,为北京市社区大学数学建模教学及其评估提供了成功的案例     

深入开展数学建模活动，培养学生的综合应用素质

数学建模时大学生综合应用素质培养的一种有效途径。本文首先分析数学建模在大学生实践创新能力和综合应用素质培养中的作用,在此基础上从数学建模的数学理念更新、数学模式和教学内容设计,教学方法运用等多个方面,研究了以培养学生综合应用素质为牵引的多焊接、全方位的数学建模教学模式,提出了一些创新性的实践做法,为教学建模数学与组织竞赛活动的开展提供参考。     

现代技术条件下大学工科数学课程教学模式的探讨

本简要地阐述了在信息社会中将计算机技术引入大学数学教学课堂,以数学基础理论、数学建模课、数学实验课为基本框架的大学数学教学模式,并探讨了新的教学模式下数学教育的一些思想和基本原则。     

"生物数学"本、硕一体化系列课程的研究与探索 ——兼谈数学建模能力培养之途径

以东北林业大学本、硕两阶段"生物数学"系列课程的整体改革实践为例,针对数学本科专业和数学硕士点学科拔尖人才创新能力培养问题,通过构建"理论学习—专题研究—课外研讨班"一体化教学体系的教学法实践,探讨了如何以生物问题为背景,构建"问题—建模—求解"的研究型教学模式、搭建培养数学建模能力平台的问题,以实现培养学生数学建模能力的一体化教学体系和研究型教学模式的目标.     

高兴趣、宽知识、阔视野、强能力的 数学建模培训模式

本文讲述了厦门大学以全国大学生数学建模竞赛为驱动,通过十多年的探索,打造了一支勇于创新的数学建模教学团队,在教学方法、教学理念、教学模式上进行了富有成效的创新性改革。厦门大学精心打造《数学建模》精品课程体系、坚持将数学建模的思想融入数学的主干课程教学中,建立数学建模创新实验室,参与学科建设,坚持研教结合和高层次人才培养,取得了良好的效果,并以此辐射全国,具有很好的示范作用。     

数学建模对高职数学基础课程改革的推动作用

针对高职办学定位和生源基础,开发高职专业案例,将数学建模思想融入常规教学,创新高职数学教学模式,在数学建模活动的普及中破除"数学无用"的偏见、降低高职学生对学数学的心理畏惧。对大数据时代进一步扩大数学建模对高职数学课程改革的影响力提出了关注数据处理、开发共享资源和引领高职本科数学教学方向等对策建议。     

数学建模素养的内蕴隐喻、建构策略及研究展望

基于深化数学课程改革的视域,采用叙事探究和主题质性文本分析方法,探讨了数学建模素养的内蕴导向和培育策略,提出了数学建模素养的四维内蕴隐喻:鲜活数学经验的积淀、创新思维品质的形成、数学方法论的润泽以及数学观及其学科情感的培育.建议从课程建设、教与学策略和师资优化三个方面构建建模素养培育体系.对当前中学数学建模素养的研究提出了预设性展望,将数学建模研究作为促进与深化数学建模素养培育的一种有效保障.     

加强数学建模课程建设 推进优质课程资源共享

本文介绍了高教社在支持全国大学生数学建模竞赛的过程中,致力于数学建模教材及相关资料的出版;搭建各级各类交流研讨平台,扩大数学建模的影响力;与组委会共同组织数学建模类课程开设情况的调查;共同建设中国高校数学建模课程中心,创新出版模式,积极推进数学建模优质课程资源共享,为促进数学建模课程走进更多的高校所做的探索与实践.     

数学建模是开启数学大门的金钥匙

作为大学《数学建模》课程的导言,对什么是数学建模,以及数学建模在推动数学学科发展及培养创新型人才方面的重要性,作充分的阐述.同时,针对数学建模的特点,对数学建模课程的教学,提出一些必要的建议.     

加权微分建模的初步研究

加权建模是必要的,微分建模是重要的,把二者结合起来,进行加权微分建模既必要也重要.给出了常用模型的微分建模结果,讨论了加权建模中的计算和权重选择问题,探讨了加权微分建模的思路和方法,并结合典型数据验证了该方法的有效性和稳定性.象加权建模一样,加权微分建模的精度、实用价值等,是和权重确定得合理与否紧密相联;应先进行模拟,以与近期实际值或典型样本相差最小的参数所对应的模型为准.     

Multiscale agent‐based consumer market modeling

Consumer markets have been studied in great depth, and many techniques have been used to represent them. These have included regression‐based models, logit models, and theoretical market‐level models, such as the NBD‐Dirichlet approach. Although many important contributions and insights have resulted from studies that relied on these models, there is still a need for a model that could more holistically represent the interdependencies of the decisions made by consumers, retailers, and manufacturers. When the need is for a model that could be used repeatedly over time to support decisions in an industrial setting, it is particularly critical. Although some existing methods can, in principle, represent such complex interdependencies, their capabilities might be outstripped if they had to be used for industrial applications, because of the details this type of modeling requires. However, a complementary method—agent‐based modeling—shows promise for addressing these issues. Agent‐based models use business‐driven rules for individuals (e.g., individual consumer rules for buying items, individual retailer rules for stocking items, or individual firm rules for advertizing items) to determine holistic, system‐level outcomes (e.g., to determine if brand X's market share is increasing). We applied agent‐based modeling to develop a multi‐scale consumer market model. We then conducted calibration, verification, and validation tests of this model. The model was successfully applied by Procter & Gamble to several challenging business problems. In these situations, it directly influenced managerial decision making and produced substantial cost savings. © 2010 Wiley Periodicals, Inc. Complexity, 2010     

A TIME SERIES APPROACH TO STOCK-RECRUITMENT ANALYSIS: TRANSFER FUNCTION NOISE MODELLING

Perceived relationships between stock size and recruitment have long been a corner-stone of fisheries management. These relationships are often used to design harvest strategies for ensuring that sufficient spawning stock exists to generate desired levels of recruitment in subsequent years. However, existing models fail to recognize and exploit the autocorrelation structure of both the recruitment and stock time series. The time series approach to modelling stock and recruitment presented in this paper takes this autocorrelation structure into account. The performance of the time series model is compared to existing stock-recruitment models using North Sea herring and Pacific halibut data.     

Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology,results, and consequences

Household consumption of natural gas is usually considered to be quite stable as cooking, space, and water heating belong to basic needs. The improvement of technologies together with possibilities of switching to alternative sources can, however, lead to a decreasing consumption trend. Knowing more about such trend, especially of its spatial distribution, can be useful for strategic planning. In this paper, we describe a general statistical methodology allowing to study the spatiotemporal behavior of consumption. It is based on semiparametric modeling. Formalized error and sensitivity analyses are part of the methodology. Presented methods are illustrated on large‐scale data from the Czech Republic.     

浅析数学建模

数学建模在数学和其他学科的发展过程中具有重要的意义.数学建模有助于学生感受数学在解决实际问题中的价值和作用,体验综合运用知识和方法解决实际问题的过程;有助于激发学生学习数学的兴趣,培养学生的创新意识和实践能力.数学建模竞赛的开展有力地推动了高等院校数学教学体系、教学内容和教学方式的改革.     

对数学建模竞赛实施的点滴探索与认识

就组队参加大学生数学建模竞赛谈一点经验.     

Measurement of Longevity Risk Using Bootstrapping for Lee–Carter and Generalised Linear Poisson Models of Mortality

This paper provides a comparative investigation of simulation strategies for measuring the longevity risk associated with predictions of mortality rates and derived estimates of life expectancy. The study considers the Lee–Carter framework and a generalised linear Poisson model for representing the dynamics of mortality, as well as enhancements that allow for joint modelling of the dispersion and the effect of using a negative binomial rather than a Poisson assumption.      

数学建模竞赛的发展与数学建模教师的作用

本文简要回顾数学建模竞赛活动的起源和发展,介绍国内外特别是国外学者关于提高数学建模教学质量的主要观点,并结合作者自身的经验和体会,探讨教师在数学建模教学中的作用。     

Modeling complex systems macroscopically: Case/agent-based modeling,synergetics, and the continuity equation

Recently, the continuity equation (also known as the advection equation) has been used to study stability properties of dynamical systems, where a linear transfer operator approach was used to examine the stability of a nonlinear equation both in continuous and discrete time (Vaidya and Mehta, IEEE Trans Autom Control 2008, 53, 307–323; Rajaram et al., J Math Anal Appl 2010, 368, 144–156). Our study, which conducts a series of simulations on residential patterns, demonstrates that this usage of the continuity equation can advance Haken's synergetic approach to modeling certain types of complex, self-organizing social systems macroscopically. The key to this advancement comes from employing a case-based approach that (1) treats complex systems as a set of cases and (2) treats cases as dynamical vsystems which, at the microscopic level, can be conceptualized as k dimensional row vectors; and, at the macroscopic level, as vectors with magnitude and direction, which can be modeled as population densities. Our case-based employment of the continuity equation has four benefits for agent-based and case-based modeling and, more broadly, the social scientific study of complex systems where transport or spatial mobility issues are of interest: it (1) links microscopic (agent-based) and macroscopic (structural) modeling; (2) transforms the dynamics of highly nonlinear vector fields into the linear motion of densities; (3) allows predictions to be made about future states of a complex system; and (4) mathematically formalizes the structural dynamics of these types of complex social systems.     

Multivariate geometric stable distributions in financial applications

We describe a class of multivariate geometric stable laws that can be used in modeling multivariate financial portfolios of securities. These heavy tailed distributions are stable with respect to geometric summation and accommodate the possibility of market crashes. We look at bivariate currency exchange rates data and show that its main features, peakedness and heavy tails, are very well captured by the geometric stable model.