A mathematician because of all their skills they have they suit the job
Answer:
The expressions in each part of an AND or OR expression use <u>Short Circuit</u> evaluation; that is, they are evaluated only as much as necessary to determine whether the entire expression is true or false.
Explanation:
Logic operations follow different type of evaluation methods that can be short circuit or open circuit evaluation. In short circuit evaluation if first operand of the expression is true or false in OR or AND operation respectively, the result will found as true or false without checking the second operand of the expression. This is called Short Circuit Evaluation.
In OR operation, If first operand is true it means that the result of the expression is true without knowing that the other operand is true or false. In AND operation, If the first operand is False, the result will found as False without knowing that whether the 2nd operand is true or false.
This Mechanism is called Short Circuit Evaluation.
Answer:
accounting system
Explanation:
The most common response variable modeled for cropping systems is yield, whether of grain, tuber, or forage biomass yield. This yield is harvested at a single point in time for determinate annual crops, while indeterminate crops and grasslands may be harvested multiple times. Although statistical models may be useful for predicting these biological yields in response to some combination of weather conditions, nutrient levels, irrigation amounts, etc. (e.g., Schlenker and Lobell, 2010, Lobell et al., 2011), they do not predict responses to nonlinearities and threshold effects outside the range of conditions in data used to develop them.
In contrast, dynamic cropping and grassland system models may simulate these biological yields and other responses important to analysts, such as crop water use, nitrogen uptake, nitrate leaching, soil erosion, soil carbon, greenhouse gas emissions, and residual soil nutrients. Dynamic models can also be used to estimate responses in places and for time periods and conditions for which there are no prior experiments. They can be used to simulate experiments and estimate responses that allow users to evaluate economic and environmental tradeoffs among alternative systems. Simulation experiments can predict responses to various climate and soil conditions, genetics, and management factors that are represented in the model. “Hybrid” agricultural system models that combine dynamic crop simulations with appropriate economic models can simulate policy-relevant “treatment effects” in an experimental design of climate impact and adaptation (Antle and Stockle, 2015).
