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To make his proposal easier to remember, Bentham devised what he called a "mnemonic doggerel" (also referred to as "memoriter verses"), which synthesized "the whole fabric of morals and legislation": Intense, long, certain, speedy, fruitful, pure— Such marks in pleasures and in pains endure. Such pleasures seek if private be thy end:
In United States patent law, utility is a patentability requirement. [1] As provided by 35 U.S.C. § 101, an invention is "useful" if it provides some identifiable benefit and is capable of use and "useless" otherwise. [2]
These calculations formulate a Basis of Estimate which is, when completed, a number that can be used to determine the ability of the firm or company to carry out the project, or used as a tool in competing for a contract bid or otherwise proposing the project to another.
A back-of-the-envelope calculation is a rough calculation, typically jotted down on any available scrap of paper such as an envelope. It is more than a guess but less than an accurate calculation or mathematical proof. The defining characteristic of back-of-the-envelope calculations is the use of simplified assumptions.
A synonym for a function between sets or a morphism in a category. Depending on authors, the term "maps" or the term "functions" may be reserved for specific kinds of functions or morphisms (e.g., function as an analytic term and map as a general term). mathematics See mathematics. multivalued
Human-hours worked per week in the United States. Labor is supply, money is demand.. A man-hour or human-hour is the amount of work performed by the average worker in one hour. [1] [2] It is used for estimation of the total amount of uninterrupted labor required to perform a task.
Operations research also uses stochastic modeling and simulation to support improved decision-making. Increasingly, operations research uses stochastic programming to model dynamic decisions that adapt to events; such problems can be solved with large-scale optimization and stochastic optimization methods.
Much research has been done to solve uncertainty quantification problems, though a majority of them deal with uncertainty propagation. During the past one to two decades, a number of approaches for inverse uncertainty quantification problems have also been developed and have proved to be useful for most small- to medium-scale problems.