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prices

  • Modeling and Forecasting Electricity Loads and prices: A Statistical Approach" by Rafał Weron, p

    Modeling and Forecasting Electricity Loads and prices: A Statistical Approach" by Rafał Weron, published by John Wiley and Sons, 2006. Rafał Weron的大作:电网系统负荷与价格预测与建模:一种统计方法的源码

    标签: Forecasting Electricity Statistical and

    上传时间: 2013-11-30

    上传用户:cjl42111

  • An example case is considered to price an option at a maturity of T years - prices are simulated for

    An example case is considered to price an option at a maturity of T years - prices are simulated for Geometric brownian motion process at 2*T maturity, and Brownian Bridge is used to obtain prices at T maturity. Finally option prices are compared to Black Scholes values to verify results

    标签: considered simulated maturity example

    上传时间: 2017-05-07

    上传用户:hjshhyy

  • Finds prices for out barrier options

    Finds prices for out barrier options

    标签: barrier options prices Finds

    上传时间: 2017-06-18

    上传用户:妄想演绎师

  • 看门狗电路的分析

    根据看门狗电路的原理,设计出简单适用、性能可靠的1TrL型看门狗电路以及价格低廉、性能可靠的微功耗CMOS型看门狗电路,同时还介绍了常用的uP监视器O型看门狗电路。关键词:看门狗电路;1TrL型;CMOS型Abstract:In accordance with the principle of WDT (Watch Dog Timer 1circuit,design a,IT.L type WTD circuit,it is a dimple an d applicable an d reliable on performanceo Design a CMOS type WTD circuit,it is low prices and mini-power consumption。Also the article describes a common uP type WTD circuit。Key word:WDT circuit;TFL type;CMOS typ e

    标签: 看门狗电路

    上传时间: 2013-11-05

    上传用户:685

  • 产品检测中裕度和校准的乐趣

    Abstract: This application note presents an overview of electronic margining and its value in detectingpotential system failures before a product ships from the factory. It is a calibration method that effectivelypredicts and allows adjustments to improve product quality. Margining also can be used to sort productsinto performance levels, allowing premium products to be sold at premium prices. We discuss thedownside of sorting and suggest alternative ways to segregate products.

    标签: 产品检测 校准

    上传时间: 2014-01-22

    上传用户:lhw888

  • For solving the following problem: "There is No Free Lunch" Time Limit: 1 Second Memory Limit: 3

    For solving the following problem: "There is No Free Lunch" Time Limit: 1 Second Memory Limit: 32768 KB One day, CYJJ found an interesting piece of commercial from newspaper: the Cyber-restaurant was offering a kind of "Lunch Special" which was said that one could "buy one get two for free". That is, if you buy one of the dishes on their menu, denoted by di with price pi , you may get the two neighboring dishes di-1 and di+1 for free! If you pick up d1, then you may get d2 and the last one dn for free, and if you choose the last one dn, you may get dn-1 and d1 for free. However, after investigation CYJJ realized that there was no free lunch at all. The price pi of the i-th dish was actually calculated by adding up twice the cost ci of the dish and half of the costs of the two "free" dishes. Now given all the prices on the menu, you are asked to help CYJJ find the cost of each of the dishes.

    标签: Limit following solving problem

    上传时间: 2014-01-12

    上传用户:362279997

  • 新闻 网页 贴吧 知道 MP3 图片 视频 帮助 | 高级搜索 把百度设为主页 百度一下

    新闻 网页 贴吧 知道 MP3 图片 视频 帮助 | 高级搜索 把百度设为主页 百度一下,找到相关网页165篇,用时0.050秒 Book Switzerland Hotels .. HRS, Over 230,000 hotels worldwide, Real time prices and av.. www.HRS.com 中国Quick Book 速达软件 速达软件是全球最大的中小企业管理软件品牌Quickbooks家族的中.. www.shsuda.cn 上海索迪IBM大学生sql编程.. 政府授牌-索迪IBM封闭式软件实训基地,与千家IT企业签订人才服务.. www.hroso.com 上海it编程工程师培训 NII.. NIIT是全球领先的IT学习解决方案公司,拥有近500万注册学生及33.. www.sh-niit.cn java语言编程培训 首选上.. 上海达内外企软件工程师定向委培.近万名学员成功就业IBM,HP,华.. www.51tarena.com 上海游戏开发编程培训 高.. 上海游戏学院是一家致力于培养游戏开发与设计人才的专业机构.开.. www.gamfe.com 加工中心编程培训 大型数控机床培训基地,加工中心编程培训.本校凭承“优师资,严管.. www.tcskpx.com 上海php编程培训, 助您年.. 上海最早最大php编程培训中心,学费仅需付六成,可申请先就业后付.. www.wenhua.com 找tale book 源代码

    标签: MP3 百度 新闻

    上传时间: 2017-03-10

    上传用户:2467478207

  • This is a simple algorithm that downloads trading data from yahoo database. It is basically a large

    This is a simple algorithm that downloads trading data from yahoo database. It is basically a large scale application of sqq.m which was originally submitted by Michael Boldin, link at acknowledgements. Some of the functionalities of the package: - User defined ticker list. - Function for downloading most recent SP500 composition in ticker list. - Control for bad data (e.g. a certain percentage of prices missing). - Choice of frequency of data (e.g. weekly prices). - Choice of starting and ending data. - Function for saving the whole data in a pre-formatted excel file together with a full reports on missing data.

    标签: algorithm downloads basically database

    上传时间: 2017-06-03

    上传用户:啊飒飒大师的

  • RestoringConnections_IBM_CPL

    Commoditization is a serious threat to the telecommunications industry. Most CSPs offer similar services at rates designed to win what has become a price war. As a result, many face decreasing margins and difficulty sustaining differentiation based on prices or products alone. On top of commoditization, CSPs also face competition from OTT providers and an increasingly knowledgeable and demanding customer base. With access to growing amounts of data from an ever-increasing number of sources and devices, today’s empowered, savvy consumers know what they want and expect to get it.

    标签: RestoringConnections_IBM_CPL

    上传时间: 2020-06-01

    上传用户:shancjb

  • 《Python深度学习》2018中文版+源代码

    这是我在做大学教授期间推荐给我学生的一本书,非常好,适合入门学习。《python深度学习》由Keras之父、现任Google人工智能研究员的弗朗索瓦•肖莱(François Chollet)执笔,详尽介绍了用Python和Keras进行深度学习的探索实践,包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例,步骤讲解详细透彻。作者在github公布了代码,代码几乎囊括了本书所有知识点。在学习完本书后,读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。但是有一个小小的遗憾:代码的解释和注释是全英文的,即使英文水平较好的朋友看起来也很吃力。本人认为,这本书和代码是初学者入门深度学习及Keras最好的工具。作者在github公布了代码,本人参照书本,对全部代码做了中文解释和注释,并下载了代码所需要的一些数据集(尤其是“猫狗大战”数据集),并对其中一些图像进行了本地化,代码全部测试通过。(请按照文件顺序运行,代码前后有部分关联)。以下代码包含了全书约80%左右的知识点,代码目录:2.1: A first look at a neural network( 初识神经网络)3.5: Classifying movie reviews(电影评论分类:二分类问题)3.6: Classifying newswires(新闻分类:多分类问题 )3.7: Predicting house prices(预测房价:回归问题)4.4: Underfitting and overfitting( 过拟合与欠拟合)5.1: Introduction to convnets(卷积神经网络简介)5.2: Using convnets with small datasets(在小型数据集上从头开始训练一个卷积网络)5.3: Using a pre-trained convnet(使用预训练的卷积神经网络)5.4: Visualizing what convnets learn(卷积神经网络的可视化)

    标签: python 深度学习

    上传时间: 2022-01-30

    上传用户: