Sentence examples for rules to maximize from inspiring English sources

As a result, teams are run much like corporations, forced by the leagues rules to maximize margins and revenues.

But to really make a difference, HUD must balance the needs of diverse homebuyers and tailor its rules to maximize the benefits of counseling.

Based on the evaluated rule sets, our original a priori definition captured all outcomes within our observation window and censored for out-of-state emigration using a conservative rule to maximize accrual of person-time and was thus utilized as a reasonable expectation.

The authors focus on the trade-off of "harvesting-sensing-throughput" and joint optimization for save ratio, sensing duration, and sensing threshold as well as fusion rule to maximize the expected achievable throughput of SU while keeping the protection to PU.

For a third scenario, assume that the players cooperated by rule to maximize social welfarei W = ∑ i V i, where V i given by (3) with a = 0; the first-order condition for the symmetric Nash equilibrium q 1 ¯, ∂ W/∂ q i  = 0, is equivalent to q 2 − ( Nc + 1 ) q + c = 0.

In answering these questions we argue that property rights and property law can be best understood as a system of societal rules designed to maximize social wealth.

For example, the US National Highway Traffic Safety Administration has issued both proposed and final fuel economy rules intended to maximize net benefits through the use of marginal cost-benefit analysis.

This pattern of responses revealed people's strong underlying preference for a "utilitarian" set of rules designed to maximize lives saved and minimize deaths — with one big exception.

This is used to construct a bandwidth selection rule, designed to maximize power while the size is controlled by a given significance level.

Similar to[3] and[8], the objective of optimizing parameters for a fusion rule is to maximize the secondary throughput while maintaining the probability of detection equal or above a target value P ̄ D. For a given sensing time, maximizing the throughput function for a target P ̄ D is equivalent to minimizing the probability of false alarm.

The distinct proposal of the present work is that a Hebbian rule functions to maximize errors, and to suggest why this is advantageous in learning to predict future reward, the ultimate goal of the nervous system.