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14 Terms

1
While Loop Requirements in Python
A logical expression that is evaluated at the beginning of each loop.
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2
Function Requirements in Python
All variables used in the function do not need to be declared at the beginning.
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3
True Error Definition
True Value - Approximate Value.
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4
When to Use Approximate Error
When the actual value is unknown.
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5
Cause of Truncation Error

Approximating exact mathematical procedures

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6

Matrix Indexing in NumPy A[:,1]

will take all rows and 2nd column (says 1 but starts at 0)

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7
Machine Epsilon
The maximum possible ratio of the spacing between one number and the next compared to its magnitude.
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8

Which of the following is not true of the first-order Taylor series approximation of f(x) at a?

its truncation error is always less than that of the zero-order approximation

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9

Taylor Series Represents a function as an infinite sum of terms calculated from

values of the function's derivatives at a single point.

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10

Will noy decrease Truncation Error in Taylor Series Approximations

Increasing the number of significant digits

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11

Taylor Series Error Propagation formula for a function of two variables assumes that variation due to one variable

is independent of the variation due to another variable

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12

Numerical Differentiation allows us to compute rates of change without know

the underlying function.

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13

Numerical Integration involves evaluating a definite integral from

a set of values.

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14
Simpson's 1/3 Rule Requirements

an even number of segments, an odd number of data points, evenly spaced segments

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