Answer:
Ctrl+Q is used to remove a paragraph's formatting
Explanation:
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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).
Answer:
All functions were written in python
addUpSquaresAndCubes Function
def addUpSquaresAndCubes(N):
squares = 0
cubes = 0
for i in range(1, N+1):
squares = squares + i**2
cubes = cubes + i**3
return(squares, cubes)
sumOfSquares Function
def sumOfSquares(N):
squares = 0
for i in range(1, N+1):
squares = squares + i**2
return squares
sumOfCubes Function
def sumOfCubes(N):
cubes = 0
for i in range(1, N+1):
cubes = cubes + i**3
return cubes
Explanation:
Explaining the addUpSquaresAndCubes Function
This line defines the function
def addUpSquaresAndCubes(N):
The next two lines initializes squares and cubes to 0
squares = 0
cubes = 0
The following iteration adds up the squares and cubes from 1 to user input
for i in range(1, N+1):
squares = squares + i**2
cubes = cubes + i**3
This line returns the calculated squares and cubes
return(squares, cubes)
<em>The functions sumOfSquares and sumOfCubes are extract of the addUpSquaresAndCubes.</em>
<em>Hence, the same explanation (above) applies to both functions</em>
