This class provides miscellaneous functions that are hard to classify.
More...
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| static double | quickSelect (double[] A, int n, int k) |
| | Returns the \(k^{th}\) smallest item of the array \(A\) of size \(n\). More...
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| static int | quickSelect (int[] A, int n, int k) |
| | Returns the \(k^{th}\) smallest item of the array \(A\) of size \(n\). More...
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| static double | getMedian (double[] A, int n) |
| | Returns the median of the first \(n\) elements of array \(A\). More...
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| static double | getMedian (int[] A, int n) |
| | Returns the median of the first \(n\) elements of array \(A\). More...
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| static int | getTimeInterval (double[] times, int start, int end, double t) |
| | Returns the index of the time interval corresponding to time t. More...
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| static void | interpol (int n, double[] X, double[] Y, double[] C) |
| | Computes the Newton interpolating polynomial. More...
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| static double | evalPoly (int n, double[] X, double[] C, double z) |
| | Given \(n\), \(X\) and \(C\) as described in interpol(n, X, Y, C), this function returns the value of the interpolating polynomial \(P(z)\) evaluated at \(z\) (see eq. More...
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| static double | evalPoly (double[] C, int n, double x) |
| | Evaluates the polynomial \(P(x)\) of degree \(n\) with coefficients \(c_j =\) C[j] at \(x\): More...
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This class provides miscellaneous functions that are hard to classify.
Some may be moved to another class in the future.
◆ evalPoly() [1/2]
| static double evalPoly |
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double [] |
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Given \(n\), \(X\) and \(C\) as described in interpol(n, X, Y, C), this function returns the value of the interpolating polynomial \(P(z)\) evaluated at \(z\) (see eq.
eq.newton.interpol ).
- Parameters
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| n | degree of the interpolating polynomial |
| X | \(x\)-coordinates of points |
| C | Coefficients of the interpolating polynomial |
| z | argument where polynomial is evaluated |
- Returns
- Value of the interpolating polynomial \(P(z)\)
◆ evalPoly() [2/2]
| static double evalPoly |
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double [] |
C, |
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int |
n, |
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double |
x |
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Evaluates the polynomial \(P(x)\) of degree \(n\) with coefficients \(c_j =\) C[j] at \(x\):
\[ \qquad P(x) = c_0 + c_1 x + c_2 x^2 + \cdots+ c_n x^n \tag{eq.horner} \]
- Parameters
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| C | Coefficients of the polynomial |
| n | degree of the polynomial |
| x | argument where polynomial is evaluated |
- Returns
- Value of the polynomial \(P(x)\)
◆ getMedian() [1/2]
| static double getMedian |
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double [] |
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int |
n |
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Returns the median of the first \(n\) elements of array \(A\).
- Parameters
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| A | the array |
| n | the number of used elements |
- Returns
- the median of \(A\)
◆ getMedian() [2/2]
| static double getMedian |
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int [] |
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int |
n |
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Returns the median of the first \(n\) elements of array \(A\).
- Parameters
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| A | the array |
| n | the number of used elements |
- Returns
- the median of \(A\)
◆ getTimeInterval()
| static int getTimeInterval |
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double [] |
times, |
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int |
start, |
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int |
end, |
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double |
t |
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Returns the index of the time interval corresponding to time t.
Let \(t_0\le\cdots\le t_n\) be simulation times stored in a subset of times. This method uses binary search to determine the smallest value \(i\) for which \(t_i\le t < t_{i+1}\), and returns \(i\). The value of \(t_i\) is stored in times[start+i] whereas \(n\) is defined as end - start. If \(t<t_0\), this returns \(-1\). If \(t\ge t_n\), this returns \(n\). Otherwise, the returned value is greater than or equal to 0, and smaller than or equal to \(n-1\). start and end are only used to set lower and upper limits of the search in the times array; the index space of the returned value always starts at 0. Note that if the elements of times with indices start, …, end are not sorted in non-decreasing order, the behavior of this method is undefined.
- Parameters
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| times | an array of simulation times. |
| start | the first index in the array to consider. |
| end | the last index (inclusive) in the array to consider. |
| t | the queried simulation time. |
- Returns
- the index of the interval.
- Exceptions
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| NullPointerException | if times is null. |
| IllegalArgumentException | if start is negative, or if end is smaller than start. |
| ArrayIndexOutOfBoundsException | if start + end is greater than or equal to the length of times. |
◆ interpol()
| static void interpol |
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int |
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double [] |
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double [] |
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double [] |
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Computes the Newton interpolating polynomial.
Given the \(n+1\) real distinct points \((x_0, y_0),\) \((x_1, y_1),…, (x_n, y_n)\), with X[i] \(= x_i\), Y[i] \(= y_i\), this function computes the \(n+1\) coefficients C[i] \(= c_i\) of the Newton interpolating polynomial \(P(x)\) of degree \(n\) passing through these points, i.e. such that \(y_i= P(x_i)\), given by
\[ \qquad P(x) = c_0 + c_1(x-x_0) + c_2(x-x_0)(x-x_1) + \cdots+ c_n(x-x_0)(x-x_1) \cdots(x-x_{n-1}). \tag{eq.newton.interpol} \]
- Parameters
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| n | degree of the interpolating polynomial |
| X | \(x\)-coordinates of points |
| Y | \(y\)-coordinates of points |
| C | Coefficients of the interpolating polynomial |
◆ quickSelect() [1/2]
| static double quickSelect |
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double [] |
A, |
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int |
n, |
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int |
k |
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Returns the \(k^{th}\) smallest item of the array \(A\) of size \(n\).
Array \(A\) is unchanged by the method. Restriction: \(1 \le k \le n\).
- Parameters
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| A | the array which contain the items |
| n | the number of items in the array |
| k | the index of the smallest item |
- Returns
- the kth smallest item of the array \(A\)
◆ quickSelect() [2/2]
| static int quickSelect |
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int [] |
A, |
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int |
n, |
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int |
k |
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Returns the \(k^{th}\) smallest item of the array \(A\) of size \(n\).
Array \(A\) is unchanged by the method. Restriction: \(1 \le k \le n\).
- Parameters
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| A | the array which contain the items |
| n | the number of items in the array |
| k | the index of the smallest item |
- Returns
- the kth smallest item of the array \(A\)
The documentation for this class was generated from the following file: