Does this method have any other name according to Numerical Analysis? [closed]












2












$begingroup$


See the book OPTIMIZATION: Algorithms and Applications by Rajesh Kumar Arora, Page-$44$.




2.3.4 Cubic Polynomial Fit



In this method, the function f(x) to be minimized is approximated by a cubic polynomial $P(x)$ as



$$P(x) = a_0 + a_1x + a_2x^2 + a_3x^3 qquad (2.7)$$



If the function $f(x)$ is evaluated at four
different points, then the polynomial coefficients $a0$, $a1$, $a2$, and $a4$
can be evaluated by solving four simultaneous linear equations.
Alternatively, if the value of the function and its derivatives are
available at two points, the polynomial coefficients can still be
evaluated. Once a polynomial is approximated for the function, the
minimum point can be evaluated using the polynomial coefficients.



The first step in this search method is to bracket the minimum of the
func- tion between two points, x1 and x2, such that the following
conditions hold:



$$ f′(x1)f′(x2) < 0 qquad (2.8) $$



Using the information of
$f(x_1), f′(x_1), f(x_2)$, and $f′(x_2)$, the minimum point of the
approximating cubic polynomial can be given as



enter image description here




I am trying to learn this algorithm. I am searching this algorithm on the Internet but isn't finding anything. I have a feeling that this algorithm probably has other name(s).



Does this method/algorithm have any other name according to Numerical Analysis?










share|cite|improve this question











$endgroup$



closed as off-topic by Henrik, clathratus, Andrew, ancientmathematician, Holo Dec 31 '18 at 8:32


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Henrik, clathratus, Andrew, ancientmathematician, Holo

If this question can be reworded to fit the rules in the help center, please edit the question.
















  • $begingroup$
    Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
    $endgroup$
    – hardmath
    Dec 30 '18 at 21:23










  • $begingroup$
    Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
    $endgroup$
    – Klaas van Aarsen
    Dec 30 '18 at 22:38










  • $begingroup$
    @IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
    $endgroup$
    – user366312
    Dec 30 '18 at 22:50
















2












$begingroup$


See the book OPTIMIZATION: Algorithms and Applications by Rajesh Kumar Arora, Page-$44$.




2.3.4 Cubic Polynomial Fit



In this method, the function f(x) to be minimized is approximated by a cubic polynomial $P(x)$ as



$$P(x) = a_0 + a_1x + a_2x^2 + a_3x^3 qquad (2.7)$$



If the function $f(x)$ is evaluated at four
different points, then the polynomial coefficients $a0$, $a1$, $a2$, and $a4$
can be evaluated by solving four simultaneous linear equations.
Alternatively, if the value of the function and its derivatives are
available at two points, the polynomial coefficients can still be
evaluated. Once a polynomial is approximated for the function, the
minimum point can be evaluated using the polynomial coefficients.



The first step in this search method is to bracket the minimum of the
func- tion between two points, x1 and x2, such that the following
conditions hold:



$$ f′(x1)f′(x2) < 0 qquad (2.8) $$



Using the information of
$f(x_1), f′(x_1), f(x_2)$, and $f′(x_2)$, the minimum point of the
approximating cubic polynomial can be given as



enter image description here




I am trying to learn this algorithm. I am searching this algorithm on the Internet but isn't finding anything. I have a feeling that this algorithm probably has other name(s).



Does this method/algorithm have any other name according to Numerical Analysis?










share|cite|improve this question











$endgroup$



closed as off-topic by Henrik, clathratus, Andrew, ancientmathematician, Holo Dec 31 '18 at 8:32


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Henrik, clathratus, Andrew, ancientmathematician, Holo

If this question can be reworded to fit the rules in the help center, please edit the question.
















  • $begingroup$
    Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
    $endgroup$
    – hardmath
    Dec 30 '18 at 21:23










  • $begingroup$
    Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
    $endgroup$
    – Klaas van Aarsen
    Dec 30 '18 at 22:38










  • $begingroup$
    @IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
    $endgroup$
    – user366312
    Dec 30 '18 at 22:50














2












2








2


1



$begingroup$


See the book OPTIMIZATION: Algorithms and Applications by Rajesh Kumar Arora, Page-$44$.




2.3.4 Cubic Polynomial Fit



In this method, the function f(x) to be minimized is approximated by a cubic polynomial $P(x)$ as



$$P(x) = a_0 + a_1x + a_2x^2 + a_3x^3 qquad (2.7)$$



If the function $f(x)$ is evaluated at four
different points, then the polynomial coefficients $a0$, $a1$, $a2$, and $a4$
can be evaluated by solving four simultaneous linear equations.
Alternatively, if the value of the function and its derivatives are
available at two points, the polynomial coefficients can still be
evaluated. Once a polynomial is approximated for the function, the
minimum point can be evaluated using the polynomial coefficients.



The first step in this search method is to bracket the minimum of the
func- tion between two points, x1 and x2, such that the following
conditions hold:



$$ f′(x1)f′(x2) < 0 qquad (2.8) $$



Using the information of
$f(x_1), f′(x_1), f(x_2)$, and $f′(x_2)$, the minimum point of the
approximating cubic polynomial can be given as



enter image description here




I am trying to learn this algorithm. I am searching this algorithm on the Internet but isn't finding anything. I have a feeling that this algorithm probably has other name(s).



Does this method/algorithm have any other name according to Numerical Analysis?










share|cite|improve this question











$endgroup$




See the book OPTIMIZATION: Algorithms and Applications by Rajesh Kumar Arora, Page-$44$.




2.3.4 Cubic Polynomial Fit



In this method, the function f(x) to be minimized is approximated by a cubic polynomial $P(x)$ as



$$P(x) = a_0 + a_1x + a_2x^2 + a_3x^3 qquad (2.7)$$



If the function $f(x)$ is evaluated at four
different points, then the polynomial coefficients $a0$, $a1$, $a2$, and $a4$
can be evaluated by solving four simultaneous linear equations.
Alternatively, if the value of the function and its derivatives are
available at two points, the polynomial coefficients can still be
evaluated. Once a polynomial is approximated for the function, the
minimum point can be evaluated using the polynomial coefficients.



The first step in this search method is to bracket the minimum of the
func- tion between two points, x1 and x2, such that the following
conditions hold:



$$ f′(x1)f′(x2) < 0 qquad (2.8) $$



Using the information of
$f(x_1), f′(x_1), f(x_2)$, and $f′(x_2)$, the minimum point of the
approximating cubic polynomial can be given as



enter image description here




I am trying to learn this algorithm. I am searching this algorithm on the Internet but isn't finding anything. I have a feeling that this algorithm probably has other name(s).



Does this method/algorithm have any other name according to Numerical Analysis?







optimization numerical-methods






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 30 '18 at 21:46







user366312

















asked Dec 30 '18 at 21:13









user366312user366312

648520




648520




closed as off-topic by Henrik, clathratus, Andrew, ancientmathematician, Holo Dec 31 '18 at 8:32


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Henrik, clathratus, Andrew, ancientmathematician, Holo

If this question can be reworded to fit the rules in the help center, please edit the question.







closed as off-topic by Henrik, clathratus, Andrew, ancientmathematician, Holo Dec 31 '18 at 8:32


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Henrik, clathratus, Andrew, ancientmathematician, Holo

If this question can be reworded to fit the rules in the help center, please edit the question.












  • $begingroup$
    Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
    $endgroup$
    – hardmath
    Dec 30 '18 at 21:23










  • $begingroup$
    Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
    $endgroup$
    – Klaas van Aarsen
    Dec 30 '18 at 22:38










  • $begingroup$
    @IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
    $endgroup$
    – user366312
    Dec 30 '18 at 22:50


















  • $begingroup$
    Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
    $endgroup$
    – hardmath
    Dec 30 '18 at 21:23










  • $begingroup$
    Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
    $endgroup$
    – Klaas van Aarsen
    Dec 30 '18 at 22:38










  • $begingroup$
    @IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
    $endgroup$
    – user366312
    Dec 30 '18 at 22:50
















$begingroup$
Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
$endgroup$
– hardmath
Dec 30 '18 at 21:23




$begingroup$
Readers may feel you've cut corners by posting mainly a link and an image. I'm sure your own description of an algorithm would be more compelling to read. Youve been around awhile, so presumably you know about MathJax and $LaTeX$. If not, I'd be happy to point you to more information.
$endgroup$
– hardmath
Dec 30 '18 at 21:23












$begingroup$
Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
$endgroup$
– Klaas van Aarsen
Dec 30 '18 at 22:38




$begingroup$
Are you asking about the cubic interpolation forms? Or about a method to bracket a minimum? Or about a method to find the polynomial minimum based on a bracket?
$endgroup$
– Klaas van Aarsen
Dec 30 '18 at 22:38












$begingroup$
@IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
$endgroup$
– user366312
Dec 30 '18 at 22:50




$begingroup$
@IlikeSerena, actually, I don't know. Coz, I don't have any idea about the algorithm.
$endgroup$
– user366312
Dec 30 '18 at 22:50










1 Answer
1






active

oldest

votes


















0












$begingroup$

Perhaps cubic interpolation will work?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
    $endgroup$
    – littleO
    Dec 30 '18 at 22:09


















1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

Perhaps cubic interpolation will work?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
    $endgroup$
    – littleO
    Dec 30 '18 at 22:09
















0












$begingroup$

Perhaps cubic interpolation will work?






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
    $endgroup$
    – littleO
    Dec 30 '18 at 22:09














0












0








0





$begingroup$

Perhaps cubic interpolation will work?






share|cite|improve this answer









$endgroup$



Perhaps cubic interpolation will work?







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Dec 30 '18 at 21:17









gt6989bgt6989b

36.1k22557




36.1k22557












  • $begingroup$
    I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
    $endgroup$
    – littleO
    Dec 30 '18 at 22:09


















  • $begingroup$
    I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
    $endgroup$
    – littleO
    Dec 30 '18 at 22:09
















$begingroup$
I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
$endgroup$
– littleO
Dec 30 '18 at 22:09




$begingroup$
I googled for "cubic interpolation optimization" and found this relevant video: youtu.be/W-Rcs26oFMM
$endgroup$
– littleO
Dec 30 '18 at 22:09



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