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教育方式最优化在于想象力的培养——怀特海《教育的目的》阅读对话
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作者 赵长河 《新课程研究(上旬)》 2017年第4期30-31,共2页
怀特海在《教育的目的》一书“大学及其作用”一章中隐含了这样的观点:教育方式最优化在于想象力的培养。本文从教师的施教方式和培养富有想象力的教师这两个层面讨论了这个问题。
关键词 教育方式最优化 想象力 怀特海 《教育的目的》
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设计本质探索:为人创造最合适的使用方式 被引量:5
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作者 韩挺 胡杰明 《东华大学学报(社会科学版)》 2005年第3期72-75,共4页
设计是为人创造一种最优化方式的过程。工业设计的对象是产品,其实质是优化产品以为人服务。换句话说就是为人创造出能最优化使用的产品。由此,我们也可以看出,工业设计的最根本目的不是设计有形的产品,而是设计一种使用方式,一种合理,... 设计是为人创造一种最优化方式的过程。工业设计的对象是产品,其实质是优化产品以为人服务。换句话说就是为人创造出能最优化使用的产品。由此,我们也可以看出,工业设计的最根本目的不是设计有形的产品,而是设计一种使用方式,一种合理,优化的使用方式。在这里,产品仅仅是这种方式的载体。工业设计的目的是为人服务,是运用科学技术,创造人的生活、工作需要的“物”。物与物组成环境,人与人,人与物,人与环境又组成了社会。所以,设计的目的就是使人与人,人与物,人与环境,人与社会相互协调。其核心为人。 展开更多
关键词 最优化方式 使用方式 以人为本 工具设计 工业设计 合适 优化方式 人与环境 人与社会 优化使用 科学技术 相互协调 人与人
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An optimal incentive contract to venture capitalist
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作者 LIANG Peng 《Journal of Modern Accounting and Auditing》 2008年第4期23-31,共9页
This paper aims to study the principal-agent relationship between investors and venture capitalists (VCs), makes research on the moral hazard issues under this relationship, and how to design an effective incentive ... This paper aims to study the principal-agent relationship between investors and venture capitalists (VCs), makes research on the moral hazard issues under this relationship, and how to design an effective incentive mechanism to avoid it. By constructing a new incentive model, this paper provides the reference for investors to establish a reasonable payment contract. The designed incentive contract is a kind of dominant consecutive payment mode, which plays a strong incentive role to the VCs, in addition, it also requires the VCs to invest certain capital to the project, which can effectively prevent the slapdash action of VCs, and reduce the agent cost of investors. 展开更多
关键词 INVESTOR venture capitalists principal-agent relationship
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Derivation and Global Convergence for Memoryless Non-quasi-Newton Method
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作者 JIAO Bao Cong YU Jing Jing CHEN Lan Ping 《Journal of Mathematical Research and Exposition》 CSCD 2009年第3期423-433,共11页
In this paper, a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed, and the global convergence of this method with inexact line search is proved. Furthermore, ... In this paper, a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed, and the global convergence of this method with inexact line search is proved. Furthermore, we propose a hybrid method that mixes both the memoryless non-quasi-Newton method and the memoryless Perry-Shanno quasi-Newton method. The global convergence of this hybrid memoryless method is proved under mild assumptions. The initial results show that these new methods are efficient for the given test problems. Especially the memoryless non-quasi-Newton method requires little storage and computation, so it is able to efficiently solve large scale optimization problems. 展开更多
关键词 memoryless non-quasi-Newton method Wolfe line search global convergence.
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