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| {{See also|Spline (mathematics)}}
| | Whenever a association struggle begins, you will see The most important particular War Map, a good solid map of this conflict area area association battles booty place. Warm and friendly territories will consistently becoming on the left, with the adversary association on the inside the right. Every last boondocks anteroom on all war map represents some sort or other of war base.<br><br>The actual amend delivers a information of notable enhancements, posture of which could quite possibly be the new Dynasty Competition Manner. In this specific mode, you can said combating dynasties and stop utter rewards aloft their particular beat.<br><br>Located in clash of clans Cheats (a secret popular social architecture together with arresting bold by Supercell) participants can acceleration mass popularity accomplishments for example building, advance or training soldiers with gems that will be sold for absolute money. They're basically monetizing this player's impatience. Every amusing architecture vibrant I apperceive of manages to practice.<br><br>Spend note of how a great money your teen might be shelling out for gambling. These kinds towards products aren't cheap and as well then there is absolutely the option of deciding on much more add-ons in just the game itself. Establish month-to-month and on an annual basis restrictions on the figure of money that may very well be spent on exercises. Also, have conversations that has the youngsters about cash strategy.<br><br>Provide you with the in-online game songs chance. If, nonetheless, you might exist annoyed by using them soon after one 60 minutes approximately, don't be too [http://Www.bing.com/search?q=embarrassed&form=MSNNWS&mkt=en-us&pq=embarrassed embarrassed] to mute the telly or personal computer and play some audio of your very own. You'll find a far more enjoyable game playing experience in this and therefore are a whole lot unlikely to get a frustration from actively game play.<br><br>A person's war abject is agnate in your approved village, except that your war abject will not manage resources. If you beloved this short article and you would like to receive much more details regarding [http://circuspartypanama.com clash of clans hack for mac] kindly visit our own website. Barrio within your warfare abject cant be anon improved in addition rearranged, as it alone mimics this adjustment and then accomplished completed advancement stages of your apple while having alertness day. Competition bases additionally never charges to take their accessories rearmed, defenses reloaded and also characters healed, as these are consistently ready. The association alcazar inside your home your war abject bill be abounding alone concerned with the one in ones own whole village.<br><br>You don''t necessarily have to one of the cutting edge troops to win advantages. A mass volume of barbarians, your first-level troop, will totally destroy an enemy village, and strangely it''s quite enjoyable to take a the virtual carnage. |
| In the [[mathematics|mathematical]] field of [[numerical analysis]], '''spline interpolation''' is a form of [[interpolation]] where the interpolant is a special type of [[piecewise]] [[polynomial]] called a [[spline (mathematics)|spline]]. Spline interpolation is preferred over [[polynomial interpolation]] because the [[interpolation error]] can be made small even when using low degree polynomials for the spline. Spline interpolation avoids the problem of [[Runge's phenomenon]], which occurs when interpolating using high degree polynomials.
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| ==Introduction==
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| Originally, ''[[Flat spline|spline]]'' was a term for [[elastic]] [[ruler]]s that were bent to pass through a number of predefined points ("knots"). These were used to make [[technical drawing]]s for [[shipbuilding]] and construction by hand, as illustrated by Figure 1.
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| [[Image:Cubic spline.svg|thumb|upright=1.8|right|Figure 1: Interpolation with cubic splines between eight points. Hand-drawn technical drawings were made for shipbuilding etc. using flexible rulers that were bent to follow pre-defined points]]
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| The approach to mathematically model the shape of such elastic rulers fixed by ''n''+1 knots <math>(x_i,y_i)\quad i=0,1,\dotsc,n</math> is to interpolate between all the pairs of knots <math>(x_{i-1}\ ,\ y_{i-1})</math> and <math>(x_i\ ,\ y_i)</math> with polynomials <math>y=q_i(x), \quad i=1,2,\dotsc,n</math>.
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| The [[curvature]] of a curve | |
| :<math>y=f(x)</math>
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| is
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| :<math>\kappa= \frac{y''}{(1+y'^2)^{3/2}}</math>
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| As the spline will take a shape that minimizes the bending (under the constraint of passing through all knots) both <math>y'</math> and <math>y''</math> will be continuous everywhere and at the knots. To achieve this one must have that
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| :<math>q'_i(x_i) = q'_{i+1}(x_i)</math>
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| and that
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| :<math>q''_i(x_i) = q''_{i+1}(x_i)</math>
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| for all ''i'', <math>1 \le i \le n-1</math>. This can only be achieved if polynomials of degree 3 or higher are used. The classical approach is to use polynomials of degree 3 — the case of [[cubic spline]]s. | |
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| ==Algorithm to find the interpolating cubic spline==
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| A third order polynomial <math>q(x)</math> for which
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| :<math>q(x_1)=y_1</math>
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| :<math>q(x_2)=y_2</math>
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| :<math>q'(x_1)=k_1</math>
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| :<math>q'(x_2)=k_2</math>
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| can be written in the symmetrical form
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| # {{NumBlk|:|<math>q\ =\ (1-t)\ y_1 +\ t\ y_2\ +\ t\ (1-t)\ (a\ (1-t) + b\ t)</math>|{{EquationRef|1}}}}
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| where {{NumBlk|:|<math>t=\tfrac{x-x_1}{x_2-x_1}</math>|{{EquationRef|2}}}} and
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| # {{NumBlk|:|<math>a= \ k_1 (x_2 - x_1)-(y_2 - y_1),</math>|{{EquationRef|3}}}}
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| # {{NumBlk|:|<math>b=-k_2 (x_2 - x_1)+(y_2 - y_1).</math>|{{EquationRef|4}}}}
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| As <math>q'= \tfrac{d q}{d x} = \tfrac{d q}{d t} \ \tfrac{d t}{d x} = \tfrac{d q}{d t} \ \tfrac{1}{x_2-x_1}</math> one gets that:
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| # {{NumBlk|:|<math>q'\ =\frac {y_2-y_1}{x_2-x_1} +(1-2t)\ \frac {a\ (1-t) + b\ t}{x_2-x_1}\ +\ \ t\ (1-t)\ \frac {b-a}{x_2-x_1},</math>|{{EquationRef|5}}}}
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| # {{NumBlk|:|<math>q''=2\frac {b-2a+(a-b)3t}{{(x_2-x_1)}^2}.</math>|{{EquationRef|6}}}}
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| Setting {{math|<var>x</var> {{=}} <var>x</var><sub>1</sub>}} and {{math|<var>x</var> {{=}} <var>x</var><sub>2</sub>}} respectively in equations ({{EquationNote|5}}) and ({{EquationNote|6}}) one gets from ({{EquationNote|2}}) that indeed first derivatives {{math|<var>q'</var>(<var>x</var><sub>1</sub>) {{=}} <var>k</var><sub>1</sub>}} and {{math|<var>q'</var>(<var>x</var><sub>2</sub>) {{=}} <var>k</var><sub>2</sub>}} and also second derivatives
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| # {{NumBlk|:|<math>q''(x_1)=2\frac {b-2a}{{(x_2-x_1)}^2}</math>|{{EquationRef|7}}}}
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| # {{NumBlk|:|<math>q''(x_2)=2\frac {a-2b}{{(x_2-x_1)}^2}</math>|{{EquationRef|8}}}}
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| If now {{math|(<var>x<sub>i</sub></var>, <var>y<sub>i</sub></var>)}} where {{math|<var>i</var>}} = 0, 1, ... , ''n'' are ''n''+1 points and
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| # {{NumBlk|:|<math>q_i\ =\ (1-t)\ y_{i-1} +\ t\ y_i\ +\ t\ (1-t)\ (a_i\ (1-t) + b_i\ t)</math>|{{EquationRef|9}}}}
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| where ''i'' = 1, 2, ..., ''n'' and <math>t=\tfrac{x-x_{i-1} }{ x_{i}-x_{i-1} }</math> are ''n'' third degree polynomials interpolating {{math|<var>y</var>}} in the interval
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| {{math|<var>x</var> <sub>''i''-1</sub> ≤ <var>x</var> ≤ <var>x</var><sub>''i''</sub> }} for ''i'' = 1,... , ''n'' such that {{math|<var>q</var>'<sub>''i''</sub> (<var>x</var><sub>''i''</sub>) {{=}} <var>q</var>' <sub>''i''+1</sub> (<var>x</var><sub>''i''</sub>)}} for ''i'' = 1, ... , ''n''-1
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| then the ''n'' polynomials together define a differentiable function in the interval {{math| <var>x</var><sub>0</sub> ≤ <var>x</var> ≤ <var>x</var><sub>''n''</sub>}} and
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| # {{NumBlk|:|<math>a_i=k_{i-1}(x_i-x_{i-1})-(y_i - y_{i-1})</math>|{{EquationRef|10}}}}
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| # {{NumBlk|:|<math>b_i=-k_i(x_i-x_{i-1})+(y_i - y_{i-1})</math>|{{EquationRef|11}}}}
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| for ''i'' = 1, ..., ''n'' where
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| # {{NumBlk|:|<math>k_0=q_1'(x_0)</math>|{{EquationRef|12}}}}
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| # {{NumBlk|:|<math>k_i=q_i'(x_i)=q_{i+1}'(x_i) \quad i=1,\dotsc ,n-1</math>|{{EquationRef|13}}}}
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| # {{NumBlk|:|<math>k_n=q_n'(x_n)</math>|{{EquationRef|14}}}}
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| If the sequence {{math|<var>k</var><sub>0</sub>, <var>k</var><sub>1</sub>, ..., <var>k</var><sub>''n''</sub>}} is such that in addition {{math|<var>q"</var><sub>''i''</sub>(<var>x</var><sub>''i''</sub>) {{=}} <var>q"</var><sub>''i''+1</sub>(<var>x</var><sub>''i''</sub>)}} for ''i'' = 1, ..., ''n''-1 the resulting function will even have a continuous second derivative.
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| From ({{EquationNote|7}}), ({{EquationNote|8}}), ({{EquationNote|10}}) and ({{EquationNote|11}}) follows that this is the case if and only if
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| # {{NumBlk|:|<math>\frac {k_{i-1}}{x_i-x_{i-1}} + \left(\frac {1}{x_i-x_{i-1}}+ \frac {1}{{x_{i+1}-x_i}}\right)\ 2k_i+
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| \frac {k_{i+1}}{{x_{i+1}-x_i}} =
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| 3\ \left(\frac {y_i - y_{i-1}}{{(x_i-x_{i-1})}^2}+\frac {y_{i+1} - y_i}{{(x_{i+1}-x_i)}^2}\right)</math>|{{EquationRef|15}}}}
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| for ''i'' = 1, ..., ''n''-1. The relations ({{EquationNote|15}}) are ''n''-1 linear equations for the ''n''+1 values {{math|<var>k</var><sub>0</sub>, <var>k</var><sub>1</sub>, ..., <var>k</var><sub>''n''</sub>}}.
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| For the elastic rulers being the model for the spline interpolation one has that to the left of the left-most "knot" and to the right of the right-most "knot" the ruler can move freely and will therefore take the form of a straight line with {{math|<var>q"</var> {{=}} 0 }}. As {{math|<var>q"</var>}} should be a continuous function of {{math|<var>x</var>}} one gets that for "Natural Splines" one in addition to the ''n''-1 linear equations ({{EquationNote|15}}) should have that
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| :<math>q''_1(x_0)\ =2\ \frac {3(y_1 - y_0)-(k_1+2k_0)(x_1-x_0)}{{(x_1-x_0)}^2}=0,</math>
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| :<math>q''_n(x_n)\ =-2\ \frac {3(y_n - y_{n-1})-(2k_n+k_{n-1})(x_n-x_{n-1})}{{(x_n-x_{n-1})}^2}=0,</math>
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| i.e. that
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| # {{NumBlk|:|<math>\frac{2}{x_1-x_0} k_0\ +\frac{1}{x_1-x_0}k_1 = 3\ \frac{y_1-y_0}{(x_1-x_0)^2},</math>|{{EquationRef|16}}}}
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| # {{NumBlk|:|<math>\frac{1}{x_n-x_{n-1}}k_{n-1}\ +\frac{2}{x_n-x_{n-1}}k_n = 3\ \frac{y_n-y_{n-1}}{(x_n-x_{n-1})^2}.</math>|{{EquationRef|17}}}}
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| Eventually, ({{EquationNote|15}}) together with ({{EquationNote|16}}) and ({{EquationNote|17}}) constitute ''n''+1 linear equations that uniquely define the ''n''+1 parameters {{math|<var>k</var><sub>0</sub>, <var>k</var><sub>1</sub>, ..., <var>k</var><sub>''n''</sub>}}.
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| ==Example==
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| [[Image:Cubic splines three points.svg|frame|right|Figure 2: Interpolation with cubic "natural" splines between three points.]]
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| In case of three points the values for <math>k_0,k_1,k_2</math> are found by solving the [[Tridiagonal matrix|tridiagonal linear equation system]]
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| :<math>
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| \begin{bmatrix}
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| a_{11} & a_{12} & 0 \\
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| a_{21} & a_{22} & a_{23} \\
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| 0 & a_{32} & a_{33} \\
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| \end{bmatrix}
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| \begin{bmatrix}
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| k_0 \\
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| k_1 \\
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| k_2 \\
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| \end{bmatrix}
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| =
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| \begin{bmatrix}
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| b_1 \\
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| b_2 \\
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| b_3 \\
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| \end{bmatrix}
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| </math>
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| with
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| :<math>a_{11}=\frac{2}{x_1-x_0}</math>
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| :<math>a_{12}=\frac{1}{x_1-x_0}</math>
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| :<math>a_{21}=\frac{1}{x_1-x_0}</math>
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| :<math>a_{22}=2\ \left(\frac {1}{x_1-x_0}+ \frac {1}{{x_2-x_1}}\right)</math>
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| :<math>a_{23}=\frac {1}{{x_2-x_1}}</math>
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| :<math>a_{32}=\frac{1}{x_2-x_1}</math>
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| :<math>a_{33}=\frac{2}{x_2-x_1}</math>
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| :<math>b_1=3\ \frac{y_1-y_0}{(x_1-x_0)^2}</math>
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| :<math>b_2=3\ \left(\frac {y_1 - y_0}{{(x_1-x_0)}^2}+\frac {y_2 - y_1}{{(x_2-x_1)}^2}\right)</math>
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| :<math>b_3=3\ \frac{y_2-y_1}{(x_2-x_1)^2}</math>
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| For the three points
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| :<math>(-1,0.5)\ ,\ (0,0)\ ,\ (3,3)</math>
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| one gets that
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| :<math>k_0=-0.6875\ ,\ k_1=-0.1250\ ,\ k_2=1.5625</math>
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| and from ({{EquationNote|10}}) and ({{EquationNote|11}}) that | |
| :<math>a_1= k_0(x_1-x_0)-(y_1 - y_0)=-0.1875</math>
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| :<math>b_1=-k_1(x_1-x_0)+(y_1 - y_0)=-0.3750</math>
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| :<math>a_2= k_1(x_2-x_1)-(y_2 - y_1)=-3.3750</math>
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| :<math>b_2=-k_2(x_2-x_1)+(y_2 - y_1)=-1.6875</math>
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| In Figure 2 the spline function consisting of the two cubic polynomials <math>q_1(x)</math> and <math>q_2(x)</math> given by ({{EquationNote|9}}) is displayed
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| ==See also==
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| *[[Cubic Hermite spline]]
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| *[[Monotone cubic interpolation]]
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| *[[NURBS]]
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| *[[Multivariate interpolation]]
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| *[[Polynomial interpolation]]
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| * [[Smoothing spline]]
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| ==External links==
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| * {{springer|title=Spline interpolation|id=p/s086820}}
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| * [http://jsxgraph.uni-bayreuth.de/wiki/index.php/Cubic_spline_interpolation Dynamic cubic splines with JSXGraph]
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| * [http://www.youtube.com/view_play_list?p=DAB608CD1A9A0D55 Lectures on the theory and practice of spline interpolation]
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| * [http://web.archive.org/web/20090408054627/http://online.redwoods.cc.ca.us/instruct/darnold/laproj/Fall98/SkyMeg/Proj.PDF Paper which explains step by step how cubic spline interpolation is done, but only for equidistant knots.]
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| * [http://www.akiti.ca/CubicSpline.html Online Cubic Spline Interpolation Utility]
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| * [http://apps.nrbook.com/c/index.html Numerical Recipes in C], Go to Chapter 3 Section 3-3.
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| [[Category:Splines]]
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| [[Category:Interpolation]]
| |
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