公开(公告)号：US07860646B2

公开(公告)日：2010-12-28

申请号：US11735831

申请日：2007-04-16

申请人： Alan E. Bruce ,  Daniel J. Gadler ,  Kyle M. Nakamoto ,  Ken Cobleigh

发明人： Alan E. Bruce ,  Daniel J. Gadler ,  Kyle M. Nakamoto ,  Ken Cobleigh

IPC分类号： G01C21/00

CPC分类号： G01C21/005 ,  G01C21/20

摘要： A computer implemented method, apparatus, and computer usable program code for generating a route for a vessel to travel from a start point to an end point. A start point and an end point for the vessel are identified. A forecast of wave conditions during a period of time is obtained. A model of the vessel is obtained, wherein the model includes parameters used to calculate a response of the vessel to the wave conditions. A route is generated from the start point to the end point for the vessel to travel on using the model of the vessel and the forecast of the wave conditions, wherein the route avoids conditions that may cause a treacherous environment and meets a set of goals.

摘要翻译： 一种计算机实现的方法，装置和计算机可用程序代码，用于生成用于船只从起始点到终点行进的路线。 识别船舶的起点和终点。 获得一段时间内波浪状况的预测。 获得容器的模型，其中模型包括用于计算船舶对波浪条件的响应的参数。 从起点到终点，使用船舶模型和波浪条件的预测，从起点到终点产生路线，其中路线避免可能导致奸诈环境并达到一组目标的条件。

公开(公告)号：US07761361B2

公开(公告)日：2010-07-20

申请号：US11613959

申请日：2006-12-20

申请人： Scott H. Mathews ,  Vinay T. Datar ,  Kyle M. Nakamoto ,  Christopher A. Forgie ,  Bill Tollett ,  Shen Liu

发明人： Scott H. Mathews ,  Vinay T. Datar ,  Kyle M. Nakamoto ,  Christopher A. Forgie ,  Bill Tollett ,  Shen Liu

IPC分类号： G06Q40/00

CPC分类号： G06Q40/04 ,  G06Q10/06 ,  G06Q40/00 ,  G06Q40/06

摘要： A system, method and computer program product are provided for performing a contingent claim valuation of a combination option including one or more multi-stage contingent claims, and an early-launch contingent claim. The method may include determining a first value representing payoffs attributable to exercise of the early-launch contingent claim at a selected decision point; and a second value representing payoffs the attributable to exercise of the multi-stage contingent claim(s) at respective decision point(s), and a contingent claim at an expiration exercise point. The first and/or second values may be determined based upon a respective present value distribution of contingent future value and a respective present value of an exercise price, the present values including a respective distribution and exercise price discounted according to first and second discount rates, respectively. A value of the contingent claim may then be determined based upon the first value and/or the second value.

摘要翻译： 提供了一种系统，方法和计算机程序产品，用于执行包括一个或多个多阶段或有索赔的组合选项的或有的权利要求估价，以及早期发起的或有索赔。 该方法可以包括：在所选择的决策点处确定可归因于行使早期发起或有索赔的收益的第一值; 以及表示在各自的决定点上归因于行使多级或有索赔的第二值，以及到期运动点的或有要求。 第一和/或第二价值可以基于或有未来值的各自的现值分布和行使价的各自的现值来确定，所述现值包括根据第一和第二贴现率折扣的相应分配和行使价， 分别。 然后可以基于第一值和/或第二值来确定或有要求的值。

公开(公告)号：US07739166B2

公开(公告)日：2010-06-15

申请号：US11190684

申请日：2005-07-27

申请人： Scott H. Mathews ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Kyle M. Nakamoto

IPC分类号： G06Q40/00

CPC分类号： G06Q30/02 ,  G06Q40/00 ,  G06Q40/025 ,  G06Q40/04

摘要： A method is provided that includes modeling demand and/or future supply for a good in a differentiated market. In accordance with the method, demand/supply in a differentiated market is modeled by first modeling demand and/or supply for a good in a non-differentiated market based upon a price sensitivity distribution of a unit purchase of the good, as well as a market potential distribution of a number of units of the good in a market associated with the good. Thereafter, the model of demand and/or supply in the non-differentiated market is integrated to thereby model demand and/or supply for a good in a differentiated market. The method can further include modeling cost and/or profitability of the good in a differentiated market. Profitability can be modeled based upon the demand model and the cost model for the differentiated market.

摘要翻译： 提供了一种方法，其包括对差异化市场中的商品的需求和/或未来供应进行建模。 根据该方法，差异化市场中的需求/供给是通过对基于单位购买商品的价格敏感度分布的第一种对非差异化市场中的商品的需求和/或供应进行建模来建模的，以及 市场潜力分配的一些单位在良好的市场中与良好相关。 此后，将非差异化市场的需求和/或供给模式相结合，从而为差异化市场中的商品的需求和/或供应提供模型。 该方法还可以包括在差异化市场中对商品的成本和/或盈利能力进行建模。 盈利能力可以根据差异化市场的需求模型和成本模型进行建模。

公开(公告)号：US08265982B2

公开(公告)日：2012-09-11

申请号：US12603244

申请日：2009-10-21

申请人： Scott H. Mathews ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Kyle M. Nakamoto

IPC分类号： G06F17/30

CPC分类号： G06Q10/06 ,  G06Q10/06375 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0206

摘要： Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

摘要翻译： 提供了用于确定学习曲线值并对商品的相关利润率进行建模的系统，方法和计算机程序产品。 根据确定学习曲线值的一种方法，将生成每个单位单位的经常性成本建模为潜在学习曲线值的函数。 然后将产生每个单位单位的非直接成本建模为潜在学习曲线值的函数。 接下来，基于循环成本模型和非正常成本值来确定学习曲线值，使得在确定的学习曲线值处的经常性成本和非重要成本之和在潜在学习曲线值之上被最小化。

公开(公告)号：US08099319B2

公开(公告)日：2012-01-17

申请号：US12603230

申请日：2009-10-21

申请人： Scott H. Mathews ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Kyle M. Nakamoto

IPC分类号： G06Q10/00

CPC分类号： G06Q10/06 ,  G06Q10/06375 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0206

摘要： Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

公开(公告)号：US20100324811A1

公开(公告)日：2010-12-23

申请号：US12872801

申请日：2010-08-31

申请人： Alan E. Bruce ,  Daniel J. Gadler ,  Kyle M. Nakamoto ,  Ken Cobleigh

发明人： Alan E. Bruce ,  Daniel J. Gadler ,  Kyle M. Nakamoto ,  Ken Cobleigh

IPC分类号： G01C21/00

CPC分类号： G01C21/005 ,  G01C21/20

摘要： A computer implemented method, apparatus, and computer usable program code for generating a route for a vessel to travel from a start point to an end point. A start point and an end point for the vessel are identified. A forecast of wave conditions during a period of time is obtained. A model of the vessel is obtained, wherein the model includes parameters used to calculate a response of the vessel to the wave conditions. A route is generated from the start point to the end point for the vessel to travel on using the model of the vessel and the forecast of the wave conditions, wherein the route avoids conditions that may cause a treacherous environment and meets a set of goals.

摘要翻译： 一种计算机实现的方法，装置和计算机可用程序代码，用于生成用于船只从起始点到终点行进的路线。 识别船舶的起点和终点。 获得一段时间内波浪状况的预测。 获得容器的模型，其中模型包括用于计算船舶对波浪条件的响应的参数。 从起点到终点，使用船舶模型和波浪条件的预测，从起点到终点产生路线，其中路线避免可能导致奸诈环境并达到一组目标的条件。

公开(公告)号：US07747504B2

公开(公告)日：2010-06-29

申请号：US11613967

申请日：2006-12-20

申请人： Scott H. Mathews ,  Vinay T. Datar ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Vinay T. Datar ,  Kyle M. Nakamoto

IPC分类号： G06Q40/00

CPC分类号： G06Q40/04 ,  G06Q10/06 ,  G06Q40/06

摘要： A system, method and computer program product are provided for determining a minimum future benefits value for exercising a contingent claim of an option. The method may include determining present value distribution(s) of contingent future value and present value(s) of respective exercise price(s) at an expiration exercise point and/or one or more decision points before that point. Determining these present value distribution(s) and present value(s) may include discounting respective distribution(s) and value(s) according to first and second discount rates, respectively. The method may also include repeatedly determining, for a plurality of candidate minimum asset values at a selected decision point, respective values based upon one or more of the present value distribution(s) and one or more of the present value(s), where the respective values may be conditioned on the candidate minimum asset values. A candidate minimum asset value that maximizes the value may then be selected.

摘要翻译： 提供了一种系统，方法和计算机程序产品，用于确定用于行使选项的或有权利要求的最低未来收益值。 该方法可以包括在到期运动点和/或该点之前的一个或多个决定点确定或有的未来值的现值分布和相应运动价格的现值。 确定这些现值分布和现值可以包括分别根据第一和第二贴现率折扣相应的分布和价值。 该方法还可以包括针对所选择的决定点处的多个候选最小资产值重复地确定基于当前值分布和一个或多个当前值中的一个或多个的相应值，其中 相应的值可以基于候选的最小资产值。 然后可以选择使该值最大化的候选最小资产值。

公开(公告)号：US09501455B2

公开(公告)日：2016-11-22

申请号：US13173028

申请日：2011-06-30

申请人： Leonard Jon Quadracci ,  Kyle M. Nakamoto ,  Brian Warn

发明人： Leonard Jon Quadracci ,  Kyle M. Nakamoto ,  Brian Warn

IPC分类号： G06F17/27 ,  G06F17/21

CPC分类号： G06F17/218 ,  G06F17/2775

摘要： A method for processing at least partially unstructured data is provided. The method includes receiving, at a data processing tool, at least partially unstructured data from at least one data source, and processing the at least partially unstructured data to generate at least partially structured data that includes tagged data, wherein processing the at least partially unstructured data includes at least one of processing the at least partially unstructured data using an associative memory application, and processing the at least partially unstructured data using a regular expression processing program. The method further includes transmitting the at least partially structured data to a main application, and incorporating the at least partially structured data into the main application based at least in part on the tagged data, wherein incorporating the at least partially structured data includes at least one of including and excluding data based on the existence, content and/or type of a tag.

摘要翻译： 提供了一种用于处理至少部分非结构化数据的方法。 该方法包括在数据处理工具处接收来自至少一个数据源的至少部分非结构化数据，以及处理所述至少部分非结构化数据以生成包括标记数据的至少部分结构化数据，其中处理所述至少部分非结构化数据 数据包括使用关联存储器应用来处理所述至少部分非结构化数据的至少一个，以及使用正则表达式处理程序来处理所述至少部分非结构化数据。 该方法还包括至少部分地基于标记数据将至少部分结构化的数据发送到主应用，并且将至少部分结构化的数据合并到主应用中，其中结合至少部分结构化的数据包括至少一个 基于标签的存在，内容和/或类型来包括和排除数据。

公开(公告)号：US20100042480A1

公开(公告)日：2010-02-18

申请号：US12603244

申请日：2009-10-21

申请人： Scott H. Mathews ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Kyle M. Nakamoto

IPC分类号： G06Q10/00 ,  G06Q50/00

CPC分类号： G06Q10/06 ,  G06Q10/06375 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0206

摘要： Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

公开(公告)号：US07627495B2

公开(公告)日：2009-12-01

申请号：US10453727

申请日：2003-06-03

申请人： Scott H. Mathews ,  Kyle M. Nakamoto

发明人： Scott H. Mathews ,  Kyle M. Nakamoto

IPC分类号： G06F17/60

CPC分类号： G06Q10/06 ,  G06Q10/06375 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0206

摘要： Systems, methods and computer program products for modeling demand, supply and associated profitability of a good. According to one method, a price sensitivity distribution is determined, and then a market potential distribution of a number of units of the good is determined. Next, a forecasted market is selected according to a Monte Carlo method based upon the market potential distribution, where the forecasted market includes a predefined number of units of the good. A demand and/or supply for the good in the forecasted market is then modeled based upon the price sensitivity distribution and the predefined number of units in the forecasted market. By so modeling demand and/or supply, the method can account for uncertainty in a market for the good, as defined by the number of units of the good purchased and the price at which those units are purchased and/or produced.

摘要翻译： 系统，方法和计算机程序产品，用于建模需求，供应和相关利润的良好。 根据一种方法，确定价格敏感度分布，然后确定商品的多个单位的市场潜力分布。 接下来，根据市场潜力分布，根据蒙特卡罗方法选择预测市场，其中预测市场包括预定数量的商品单位。 然后，基于预测市场中的价格敏感性分布和预定数量的单位，对预测市场中的商品的需求和/或供给进行建模。 通过对需求和/或供应进行建模，该方法可以根据所购买商品的单位数量和购买和/或生产这些单位的价格来确定市场的不确定性。