System and method for memory element characterization
    1.
    发明申请
    System and method for memory element characterization 有权
    用于记忆元素表征的系统和方法

    公开(公告)号:US20060277511A1

    公开(公告)日:2006-12-07

    申请号:US11142709

    申请日:2005-06-01

    IPC分类号: G06F17/50

    CPC分类号: G06F17/5036 G06F17/5031

    摘要: A system and method for analyzing a memory element includes modeling the memory element using a simulation method and determining component response characteristics for components of the memory element. Safety regions are computed in a state space of the memory element, which indicate stable states. A transient analysis is performed to determine a path and time needed to reach one of the safety regions. Based on the path and time needed to reach one of the safety regions, a clock waveform or waveforms are determined which place a corresponding state in that safety region.

    摘要翻译: 用于分析存储元件的系统和方法包括使用模拟方法对存储器元件进行建模并确定存储元件的组件的组件响应特性。 在存储元件的状态空间中计算安全区域,其表示稳定状态。 执行瞬态分析以确定到达安全区域之一所需的路径和时间。 基于到达安全区域之一所需的路径和时间,确定在该安全区域中放置相应状态的时钟波形或波形。

    SYSTEM AND METHOD TO DETERMINE THE PRICES AND ORDER QUANTITIES THAT MAXIMIZE A RETAILER'S TOTAL PROFIT
    2.
    发明申请
    SYSTEM AND METHOD TO DETERMINE THE PRICES AND ORDER QUANTITIES THAT MAXIMIZE A RETAILER'S TOTAL PROFIT 审中-公开
    确定零售商总利润最大化的价格和订单数量的制度和方法

    公开(公告)号:US20080262903A1

    公开(公告)日:2008-10-23

    申请号:US12147610

    申请日:2008-06-27

    IPC分类号: G06Q10/00

    摘要: The present invention provides a system and method for determining the prices and order quantities that maximize a retailer's expected profit by using a multi-dimensional distribution of the highest prices that customers are willing to pay. This is novel, as well in the literature as in the patent database. Brand switching is dealt with, taking into account that consumers who come into the store with a-priori preferences for products build a-posteriori preferences at the point of purchase based on actual retail prices and availabilities in the store.

    摘要翻译: 本发明提供一种用于通过使用客户愿意支付的最高价格的多维分布来确定使零售商的预期利润最大化的价格和订单数量的系统和方法。 这在专利数据库的文献中也是新颖的。 处理品牌转换,同时考虑到根据产品的先验偏好进入商店的消费者根据实际的零售价格和商店的可用性在购买点构建了后验偏好。

    SYSTEM AND METHOD TO DETERMINE THE PRICES AND ORDER QUANTITIES THAT MAXIMIZE A RETAILER'S TOTAL PROFIT
    3.
    发明申请
    SYSTEM AND METHOD TO DETERMINE THE PRICES AND ORDER QUANTITIES THAT MAXIMIZE A RETAILER'S TOTAL PROFIT 失效
    确定零售商总利润最大化的价格和订单数量的制度和方法

    公开(公告)号:US20070294123A1

    公开(公告)日:2007-12-20

    申请号:US11424958

    申请日:2006-06-19

    IPC分类号: G06F17/30

    摘要: The present invention provides a system and method for determining the prices and order quantities that maximize a retailer's expected profit by using a multi-dimensional distribution of the highest prices that customers are willing to pay. This is novel, as well in the literature as in the patent database. Brand switching is dealt with, taking into account that consumers who come into the store with a-priori preferences for products build a-posteriori preferences at the point of purchase based on actual retail prices and availabilities in the store.

    摘要翻译: 本发明提供一种用于通过使用客户愿意支付的最高价格的多维分布来确定使零售商的预期利润最大化的价格和订单数量的系统和方法。 这在专利数据库的文献中也是新颖的。 处理品牌转换,同时考虑到根据产品的先验偏好进入商店的消费者根据实际的零售价格和商店的可用性在购买点构建了后验偏好。

    System and method to determine the prices and order quantities that maximize a retailer's total profit
    4.
    发明授权
    System and method to determine the prices and order quantities that maximize a retailer's total profit 失效
    确定最大化零售商总利润的价格和订单数量的系统和方法

    公开(公告)号:US07438227B2

    公开(公告)日:2008-10-21

    申请号:US11424958

    申请日:2006-06-19

    IPC分类号: G06K15/00

    摘要: The present invention provides a system and method for determining the prices and order quantities that maximize a retailer's expected profit by using a multi-dimensional distribution of the highest prices that customers are willing to pay. This is novel, as well in the literature as in the patent database. Brand switching is dealt with, taking into account that consumers who come into the store with a-priori preferences for products build a-posteriori preferences at the point of purchase based on actual retail prices and availabilities in the store.

    摘要翻译: 本发明提供一种用于通过使用客户愿意支付的最高价格的多维分布来确定使零售商的预期利润最大化的价格和订单数量的系统和方法。 这在专利数据库的文献中也是新颖的。 处理品牌转换,同时考虑到根据产品的先验偏好进入商店的消费者根据实际的零售价格和商店的可用性在购买点构建了后验偏好。

    METHODS AND SYSTEMS FOR VARIABLE GROUP SELECTION AND TEMPORAL CAUSAL MODELING
    5.
    发明申请
    METHODS AND SYSTEMS FOR VARIABLE GROUP SELECTION AND TEMPORAL CAUSAL MODELING 有权
    可变组选择和时间建模的方法和系统

    公开(公告)号:US20110112998A1

    公开(公告)日:2011-05-12

    申请号:US12616534

    申请日:2009-11-11

    IPC分类号: G06N3/12 G06F15/18

    CPC分类号: G06N5/003 G06N7/005

    摘要: A “variable group selection” system and method in which constructs are based upon a training data set, a regression modeling module that takes into account information on groups of related predictor variables given as input and outputs a regression model with selected variable groups. Optionally, the method can be employed as a component in methods of temporal causal modeling, which are applied on a time series training data set, and output a model of causal relationships between the multiple times series in the data.

    摘要翻译: 一种“可变组选择”系统和方法,其中构造基于训练数据集,回归建模模块考虑了作为输入给出的相关预测变量组的信息,并输出具有选定变量组的回归模型。 可选地,该方法可以用作时间因果建模方法中的组件,其应用于时间序列训练数据集,并且输出数据中多次序列之间的因果关系模型。

    Methods and systems for variable group selection and temporal causal modeling
    6.
    发明授权
    Methods and systems for variable group selection and temporal causal modeling 有权
    可变组选择和时间因果建模的方法和系统

    公开(公告)号:US08255346B2

    公开(公告)日:2012-08-28

    申请号:US12616534

    申请日:2009-11-11

    IPC分类号: G06F15/18 G06F7/60 G06F17/50

    CPC分类号: G06N5/003 G06N7/005

    摘要: A “variable group selection” system and method in which constructs are based upon a training data set, a regression modeling module that takes into account information on groups of related predictor variables given as input and outputs a regression model with selected variable groups. Optionally, the method can be employed as a component in methods of temporal causal modeling, which are applied on a time series training data set, and output a model of causal relationships between the multiple times series in the data.

    摘要翻译: 一种“可变组选择”系统和方法,其中构造基于训练数据集,回归建模模块考虑了作为输入给出的相关预测变量组的信息,并输出具有选定变量组的回归模型。 可选地,该方法可以用作时间因果建模方法中的组件,其应用于时间序列训练数据集,并且输出数据中多次序列之间的因果关系模型。