Re: [R] question about constraint minimization

2010-11-24 Thread dhacade...@gmail.com

Hi Hans,

I really appreciate your help and the detailed reply. Many thanks and have a
nice Thanks giving!

Best,
Hao

On Tue, Nov 23, 2010 at 11:46 AM, Hans W Borchers [via R] 
ml-node+3055782-1866096000-202...@n4.nabble.comml-node%2b3055782-1866096000-202...@n4.nabble.com
 wrote:

 dhacademic at gmail.com dhacademic at gmail.com writes:

  Hi,
 
  I have struggled on this bound optimization with equality constraint by

  using optim function for two days, but still fail to prepare a good
 input.
  Can anyone help to prepare the input for my specific case? Many thanks.
 
  Best,
  Hao

 You did not disclose the the function f, is it linear or nonlinear, does it

 have (many) local minima, do you know its gradient?, etc.

 With some bloody tricks it is possible to emulate equality and inequality
 constraints with 'optim', too. But in general, I would suggest to apply
 'constrOptim.nl' in the alabama package (or 'solnp' in Rsolnp). These are
 newer implementations and will handle equality constraints nicely.

 Assuming your original function f12 is a function of 12 variables, e.g.

 f12 - function(x) sum((1:12)*(x - 1:12)^2)

 define a new function f eliminating x3, x4, and x12 through

 f - function(x) {
 xx1r  - 1.5 - x[1] - sum(x)
 x12  - c(x[1], x[2], x[1], x[1], x[3:9], xx1r)
 f12(x12)
 }

 I would suggest 'solnp' in package Rsolnp, as the bound constraints can
 be
 formulated somewhat easier; the start value has to be feasible(!):

 lower - c(-1, 0, -1, 0, 0, 0, 0, 0, 0)
 upper - c( 0, 1,  0, 1, 1, 1, 1, 1, 1)

 fun - function(x) 1.5 - 2*x[1] - x[2] - sum(x[3:9])
 start - c(-0.2, 0.2, -0.2, rep(0.2, 6))

 S - solnp(start, f, LB=lower, UB=upper, ineqfun=fun, ineqLB=0,
 ineqUB=1)

 This will return a (local?) minimum (-1, 0, -1, 0, 0, 0.5, 1, 1, 1) as:

 S$pars
   # [1] -1.00e+00  1.209474e-08 -9.99e-01  4.801754e-08
  1.930926e-07
   # [6]  4.99e-01  9.98e-01  1.00e+00  1.00e+00

 Hans Werner

 
 P. S.:  Sorry, Ravi, but I could not resist the temptation to at least
 **indicate** one complete solution.
 

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Re: [R] question about constraint minimization

2010-11-23 Thread Ravi Varadhan
You need to spend some time and learn the basics of R.  There are several
excellent tutorials available on the CRAN R-project website. This will be a
very good investment of your time.  After you have spent a couple of days
learning the basics, try using my package to solve your problem.  

Best,
Ravi.

---
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology School of Medicine Johns
Hopkins University

Ph. (410) 502-2619
email: rvarad...@jhmi.edu


-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of dhacade...@gmail.com
Sent: Tuesday, November 23, 2010 12:26 AM
To: r-help@r-project.org
Subject: Re: [R] question about constraint minimization


Dear Prof. Ravi Varadhan,

Many thanks for the reply. In my case, besides x1=x3, x1=x4 (x1=x3=x4 was
used in last post), another constraint is needed, x2+x3+x4+...+x12=1.5. So
there are 9 variables.

I have downloaded your code, but I even do not know how to call your code in
R program. Actually, I know very little about R.  I spent lots of time to
read the R help files as well as lots of post on line, and finally prepared
the input file that I pasted in my last post. Unfortunately, it does not
work well. Can you please help to revise the input file that can work by
using the constrOptim function? Or can you plese show me how to call your
code in R and send me the input file?

Many thanks for your kind considerations!


Best,
Hao

On Mon, Nov 22, 2010 at 2:31 PM, Ravi Varadhan [via R] 
ml-node+3054297-1984476990-202...@n4.nabble.comml-node%2B3054297-1984476990
-202...@n4.nabble.com
 wrote:

 I do not understand the constraint x1 = x3 = x4.  If this is correct, you
 only have 10 unknown parameters.

 If you can correctly formulate your problem, you can have a look at the
 packages alabama or BB.  The function `auglag' in alabama or the
 function `spg' in BB may be useful.

 Ravi.

 ---
 Ravi Varadhan, Ph.D.
 Assistant Professor,
 Division of Geriatric Medicine and Gerontology School of Medicine Johns
 Hopkins University

 Ph. (410) 502-2619
 email: [hidden
email]http://user/SendEmail.jtp?type=nodenode=3054297i=0


 -Original Message-
 From: [hidden
email]http://user/SendEmail.jtp?type=nodenode=3054297i=1[mailto:[hidden
 email] http://user/SendEmail.jtp?type=nodenode=3054297i=2] On
 Behalf Of [hidden
email]http://user/SendEmail.jtp?type=nodenode=3054297i=3
 Sent: Monday, November 22, 2010 11:10 AM
 To: [hidden email] http://user/SendEmail.jtp?type=nodenode=3054297i=4
 Subject: Re: [R] question about constraint minimization


 Hi,

 I have struggled on this bound optimization with equality constraint by
 using optim function for two days, but still fail to prepare a good input.
 Can anyone help to prepare the input for my specific case? Many thanks.

 Best,
 Hao


 On Sat, Nov 20, 2010 at 3:17 AM, Hans W Borchers [via R] 
 [hidden email]
http://user/SendEmail.jtp?type=nodenode=3054297i=5ml-node%2B3051338-309
339578-2

 [hidden email] http://user/SendEmail.jtp?type=nodenode=3054297i=6
   wrote:

  dhacademic at gmail.com dhacademic at gmail.com writes:
 
  
  
   Hi,
  
   I am a beginner of R. There is a question about constraint
 minimization.
  A
   function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
   requirements for the minimization:
  
   (1) x2+x3+...+x12=1.5 (x1 is excluded);
   (2) x1=x3=x4;
   (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest
  variables
   (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
  
   The optim function is used. And part of my input is as follow, where
   xx1r represents the x12:
  
   xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
   start=rnorm(9)
   up=1:9/1:9*1
   lo=1:9/1:9*-1
   out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
   control=list(trace=6,maxit=1000))
  
   There are two problems in this input. the up and lo only define a
  range
   of -1~1 for x1 to x11, which can not meet the requirement (3). In
  addition,
   there is not any constraint imposed on x12. I have no idea how to
 specify
  a
   matrix that can impose different constraints on individual variables
in

 a

 
   function. Any suggestion is highly appreciated.
  
   Best,
   Hao
  
 
  I don't see any direct need for real 'constraint' optimization here,
  it is a 'bounded' optimization where you are allowed to use
 
  lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
  upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)
 
  Otherwise, your description is confusing:
(1) Did you change f to a new function with 9 variables, eliminating
x3, x4, and x12 ?
(2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
(3) If you need to restrict x12 to [0, 1] also, you cannot eliminate
 it.
Either keep x12 and use an equality constraint, or use inequality

Re: [R] question about constraint minimization

2010-11-23 Thread Hans W Borchers
dhacademic at gmail.com dhacademic at gmail.com writes:

 Hi,
 
 I have struggled on this bound optimization with equality constraint by
 using optim function for two days, but still fail to prepare a good input.
 Can anyone help to prepare the input for my specific case? Many thanks.
 
 Best,
 Hao

You did not disclose the the function f, is it linear or nonlinear, does it
have (many) local minima, do you know its gradient?, etc.

With some bloody tricks it is possible to emulate equality and inequality
constraints with 'optim', too. But in general, I would suggest to apply
'constrOptim.nl' in the alabama package (or 'solnp' in Rsolnp). These are
newer implementations and will handle equality constraints nicely.

Assuming your original function f12 is a function of 12 variables, e.g.

f12 - function(x) sum((1:12)*(x - 1:12)^2)

define a new function f eliminating x3, x4, and x12 through

f - function(x) {
xx1r  - 1.5 - x[1] - sum(x)
x12  - c(x[1], x[2], x[1], x[1], x[3:9], xx1r)
f12(x12)
}

I would suggest 'solnp' in package Rsolnp, as the bound constraints can be 
formulated somewhat easier; the start value has to be feasible(!):

lower - c(-1, 0, -1, 0, 0, 0, 0, 0, 0)
upper - c( 0, 1,  0, 1, 1, 1, 1, 1, 1)

fun - function(x) 1.5 - 2*x[1] - x[2] - sum(x[3:9])
start - c(-0.2, 0.2, -0.2, rep(0.2, 6))

S - solnp(start, f, LB=lower, UB=upper, ineqfun=fun, ineqLB=0, ineqUB=1)

This will return a (local?) minimum (-1, 0, -1, 0, 0, 0.5, 1, 1, 1) as:

S$pars
  # [1] -1.00e+00  1.209474e-08 -9.99e-01  4.801754e-08  1.930926e-07
  # [6]  4.99e-01  9.98e-01  1.00e+00  1.00e+00

Hans Werner


P. S.:  Sorry, Ravi, but I could not resist the temptation to at least
**indicate** one complete solution.


__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] question about constraint minimization

2010-11-22 Thread dhacade...@gmail.com

Hi,

I have struggled on this bound optimization with equality constraint by
using optim function for two days, but still fail to prepare a good input.
Can anyone help to prepare the input for my specific case? Many thanks.

Best,
Hao


On Sat, Nov 20, 2010 at 3:17 AM, Hans W Borchers [via R] 
ml-node+3051338-309339578-202...@n4.nabble.comml-node%2b3051338-309339578-202...@n4.nabble.com
 wrote:

 dhacademic at gmail.com dhacademic at gmail.com writes:

 
 
  Hi,
 
  I am a beginner of R. There is a question about constraint minimization.
 A
  function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
  requirements for the minimization:
 
  (1) x2+x3+...+x12=1.5 (x1 is excluded);
  (2) x1=x3=x4;
  (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest
 variables
  (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
 
  The optim function is used. And part of my input is as follow, where
  xx1r represents the x12:
 
  xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
  start=rnorm(9)
  up=1:9/1:9*1
  lo=1:9/1:9*-1
  out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
  control=list(trace=6,maxit=1000))
 
  There are two problems in this input. the up and lo only define a
 range
  of -1~1 for x1 to x11, which can not meet the requirement (3). In
 addition,
  there is not any constraint imposed on x12. I have no idea how to specify
 a
  matrix that can impose different constraints on individual variables in a

  function. Any suggestion is highly appreciated.
 
  Best,
  Hao
 

 I don't see any direct need for real 'constraint' optimization here,
 it is a 'bounded' optimization where you are allowed to use

 lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
 upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)

 Otherwise, your description is confusing:
   (1) Did you change f to a new function with 9 variables, eliminating
   x3, x4, and x12 ?
   (2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
   (3) If you need to restrict x12 to [0, 1] also, you cannot eliminate it.
   Either keep x12 and use an equality constraint, or use inequality
   constraints on xxlr.

 Hans Werner

 __
 [hidden email] http://user/SendEmail.jtp?type=nodenode=3051338i=0mailing 
 list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] question about constraint minimization

2010-11-22 Thread Ravi Varadhan
I do not understand the constraint x1 = x3 = x4.  If this is correct, you
only have 10 unknown parameters.

If you can correctly formulate your problem, you can have a look at the
packages alabama or BB.  The function `auglag' in alabama or the
function `spg' in BB may be useful.

Ravi.

---
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology School of Medicine Johns
Hopkins University

Ph. (410) 502-2619
email: rvarad...@jhmi.edu


-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of dhacade...@gmail.com
Sent: Monday, November 22, 2010 11:10 AM
To: r-help@r-project.org
Subject: Re: [R] question about constraint minimization


Hi,

I have struggled on this bound optimization with equality constraint by
using optim function for two days, but still fail to prepare a good input.
Can anyone help to prepare the input for my specific case? Many thanks.

Best,
Hao


On Sat, Nov 20, 2010 at 3:17 AM, Hans W Borchers [via R] 
ml-node+3051338-309339578-202...@n4.nabble.comml-node%2B3051338-309339578-2
02...@n4.nabble.com
 wrote:

 dhacademic at gmail.com dhacademic at gmail.com writes:

 
 
  Hi,
 
  I am a beginner of R. There is a question about constraint minimization.
 A
  function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
  requirements for the minimization:
 
  (1) x2+x3+...+x12=1.5 (x1 is excluded);
  (2) x1=x3=x4;
  (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest
 variables
  (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
 
  The optim function is used. And part of my input is as follow, where
  xx1r represents the x12:
 
  xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
  start=rnorm(9)
  up=1:9/1:9*1
  lo=1:9/1:9*-1
  out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
  control=list(trace=6,maxit=1000))
 
  There are two problems in this input. the up and lo only define a
 range
  of -1~1 for x1 to x11, which can not meet the requirement (3). In
 addition,
  there is not any constraint imposed on x12. I have no idea how to
specify
 a
  matrix that can impose different constraints on individual variables in
a

  function. Any suggestion is highly appreciated.
 
  Best,
  Hao
 

 I don't see any direct need for real 'constraint' optimization here,
 it is a 'bounded' optimization where you are allowed to use

 lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
 upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)

 Otherwise, your description is confusing:
   (1) Did you change f to a new function with 9 variables, eliminating
   x3, x4, and x12 ?
   (2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
   (3) If you need to restrict x12 to [0, 1] also, you cannot eliminate it.
   Either keep x12 and use an equality constraint, or use inequality
   constraints on xxlr.

 Hans Werner

 __
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 PLEASE do read the posting guide
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 and provide commented, minimal, self-contained, reproducible code.


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and provide commented, minimal, self-contained, reproducible code.

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Re: [R] question about constraint minimization

2010-11-22 Thread dhacade...@gmail.com

Dear Prof. Ravi Varadhan,

Many thanks for the reply. In my case, besides x1=x3, x1=x4 (x1=x3=x4 was
used in last post), another constraint is needed, x2+x3+x4+...+x12=1.5. So
there are 9 variables.

I have downloaded your code, but I even do not know how to call your code in
R program. Actually, I know very little about R.  I spent lots of time to
read the R help files as well as lots of post on line, and finally prepared
the input file that I pasted in my last post. Unfortunately, it does not
work well. Can you please help to revise the input file that can work by
using the constrOptim function? Or can you plese show me how to call your
code in R and send me the input file?

Many thanks for your kind considerations!


Best,
Hao

On Mon, Nov 22, 2010 at 2:31 PM, Ravi Varadhan [via R] 
ml-node+3054297-1984476990-202...@n4.nabble.comml-node%2b3054297-1984476990-202...@n4.nabble.com
 wrote:

 I do not understand the constraint x1 = x3 = x4.  If this is correct, you
 only have 10 unknown parameters.

 If you can correctly formulate your problem, you can have a look at the
 packages alabama or BB.  The function `auglag' in alabama or the
 function `spg' in BB may be useful.

 Ravi.

 ---
 Ravi Varadhan, Ph.D.
 Assistant Professor,
 Division of Geriatric Medicine and Gerontology School of Medicine Johns
 Hopkins University

 Ph. (410) 502-2619
 email: [hidden email]http://user/SendEmail.jtp?type=nodenode=3054297i=0


 -Original Message-
 From: [hidden 
 email]http://user/SendEmail.jtp?type=nodenode=3054297i=1[mailto:[hidden
 email] http://user/SendEmail.jtp?type=nodenode=3054297i=2] On
 Behalf Of [hidden email]http://user/SendEmail.jtp?type=nodenode=3054297i=3
 Sent: Monday, November 22, 2010 11:10 AM
 To: [hidden email] http://user/SendEmail.jtp?type=nodenode=3054297i=4
 Subject: Re: [R] question about constraint minimization


 Hi,

 I have struggled on this bound optimization with equality constraint by
 using optim function for two days, but still fail to prepare a good input.
 Can anyone help to prepare the input for my specific case? Many thanks.

 Best,
 Hao


 On Sat, Nov 20, 2010 at 3:17 AM, Hans W Borchers [via R] 
 [hidden email] 
 http://user/SendEmail.jtp?type=nodenode=3054297i=5ml-node%2B3051338-309339578-2

 [hidden email] http://user/SendEmail.jtp?type=nodenode=3054297i=6
   wrote:

  dhacademic at gmail.com dhacademic at gmail.com writes:
 
  
  
   Hi,
  
   I am a beginner of R. There is a question about constraint
 minimization.
  A
   function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
   requirements for the minimization:
  
   (1) x2+x3+...+x12=1.5 (x1 is excluded);
   (2) x1=x3=x4;
   (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest
  variables
   (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
  
   The optim function is used. And part of my input is as follow, where
   xx1r represents the x12:
  
   xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
   start=rnorm(9)
   up=1:9/1:9*1
   lo=1:9/1:9*-1
   out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
   control=list(trace=6,maxit=1000))
  
   There are two problems in this input. the up and lo only define a
  range
   of -1~1 for x1 to x11, which can not meet the requirement (3). In
  addition,
   there is not any constraint imposed on x12. I have no idea how to
 specify
  a
   matrix that can impose different constraints on individual variables in

 a

 
   function. Any suggestion is highly appreciated.
  
   Best,
   Hao
  
 
  I don't see any direct need for real 'constraint' optimization here,
  it is a 'bounded' optimization where you are allowed to use
 
  lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
  upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)
 
  Otherwise, your description is confusing:
(1) Did you change f to a new function with 9 variables, eliminating
x3, x4, and x12 ?
(2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
(3) If you need to restrict x12 to [0, 1] also, you cannot eliminate
 it.
Either keep x12 and use an equality constraint, or use inequality
constraints on xxlr.
 
  Hans Werner
 
  __
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Re: [R] question about constraint minimization

2010-11-20 Thread Hans W Borchers
dhacademic at gmail.com dhacademic at gmail.com writes:

 
 
 Hi, 
 
 I am a beginner of R. There is a question about constraint minimization. A
 function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
 requirements for the minimization: 
 
 (1) x2+x3+...+x12=1.5 (x1 is excluded);
 (2) x1=x3=x4;
 (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest variables
 (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
 
 The optim function is used. And part of my input is as follow, where
 xx1r represents the x12:
 
 xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
 start=rnorm(9)
 up=1:9/1:9*1
 lo=1:9/1:9*-1
 out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
 control=list(trace=6,maxit=1000))
 
 There are two problems in this input. the up and lo only define a range
 of -1~1 for x1 to x11, which can not meet the requirement (3). In addition,
 there is not any constraint imposed on x12. I have no idea how to specify a
 matrix that can impose different constraints on individual variables in a
 function. Any suggestion is highly appreciated.
 
 Best,
 Hao
 

I don't see any direct need for real 'constraint' optimization here,
it is a 'bounded' optimization where you are allowed to use

lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)

Otherwise, your description is confusing:
  (1) Did you change f to a new function with 9 variables, eliminating
  x3, x4, and x12 ?
  (2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
  (3) If you need to restrict x12 to [0, 1] also, you cannot eliminate it.
  Either keep x12 and use an equality constraint, or use inequality 
  constraints on xxlr.

Hans Werner

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Re: [R] question about constraint minimization

2010-11-20 Thread dhacade...@gmail.com

Sorry for the unclear description in my last post. It is an error in my last
post, that x4 should be in the range of [-1, 0] as it is identical to x1.
Actually I think both constraint (for the requirement 1 and 2, so there
are only 9 variables) and bounded (for the requirement 3) opt are needed
in my case.  Does it means that the optim function can not meet my
requirements, and that the constrOptim function is needed (as Joanthon
mentioned)?

Many thanks for the reply!

Best,
Hao

On Sat, Nov 20, 2010 at 3:17 AM, Hans W Borchers [via R] 
ml-node+3051338-309339578-202...@n4.nabble.comml-node%2b3051338-309339578-202...@n4.nabble.com
 wrote:


 I don't see any direct need for real 'constraint' optimization here,
 it is a 'bounded' optimization where you are allowed to use

 lower - c(-1,0,-1,0,-1,0,0,0,0,0,0,0)
 upper - c( 0,1, 0,0, 0,1,1,1,1,1,1,1)

 Otherwise, your description is confusing:
   (1) Did you change f to a new function with 9 variables, eliminating
   x3, x4, and x12 ?
   (2) x4 (being equal to x1) has to be in [-1, 0] but also in [0, 1]?
   (3) If you need to restrict x12 to [0, 1] also, you cannot eliminate it.
   Either keep x12 and use an equality constraint, or use inequality
   constraints on xxlr.

 Hans Werner

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[R] question about constraint minimization

2010-11-19 Thread dhacade...@gmail.com

Hi, 

I am a beginner of R. There is a question about constraint minimization. A
function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
requirements for the minimization: 

(1) x2+x3+...+x12=1.5 (x1 is excluded);
(2) x1=x3=x4;
(3) x1, x3 and x5 are in the range of -1~0, respectively. The rest variables
(x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.

The optim function is used. And part of my input is as follow, where
xx1r represents the x12:

xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
start=rnorm(9)
up=1:9/1:9*1
lo=1:9/1:9*-1
out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
control=list(trace=6,maxit=1000))

There are two problems in this input. the up and lo only define a range
of -1~1 for x1 to x11, which can not meet the requirement (3). In addition,
there is not any constraint imposed on x12. I have no idea how to specify a
matrix that can impose different constraints on individual variables in a
function. Any suggestion is highly appreciated.

Best,
Hao


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Re: [R] question about constraint minimization

2010-11-19 Thread Jonathan P Daily
Does ?constrOptim look as though it will handle your needs?
--
Jonathan P. Daily
Technician - USGS Leetown Science Center
11649 Leetown Road
Kearneysville WV, 25430
(304) 724-4480
Is the room still a room when its empty? Does the room,
 the thing itself have purpose? Or do we, what's the word... imbue it.
 - Jubal Early, Firefly

r-help-boun...@r-project.org wrote on 11/19/2010 02:51:46 PM:

 [image removed] 
 
 [R] question about constraint minimization
 
 dhacade...@gmail.com 
 
 to:
 
 r-help
 
 11/19/2010 03:15 PM
 
 Sent by:
 
 r-help-boun...@r-project.org
 
 
 Hi, 
 
 I am a beginner of R. There is a question about constraint minimization. 
A
 function, y=f(x1,x2,x3x12), needs to be minimized. There are 3
 requirements for the minimization: 
 
 (1) x2+x3+...+x12=1.5 (x1 is excluded);
 (2) x1=x3=x4;
 (3) x1, x3 and x5 are in the range of -1~0, respectively. The rest 
variables
 (x2, x4, x6, x7, , x12) are in the range of 0~1, respectively.
 
 The optim function is used. And part of my input is as follow, where
 xx1r represents the x12:
 
 xx1r=1.5-x[2]-x[1]-x[1]-x[3]-x[4]-x[5]-x[6]-x[7]-x[8]-x[9]
 start=rnorm(9)
 up=1:9/1:9*1
 lo=1:9/1:9*-1
 out=optim(start,f,lower=lo,upper=up,method=L-BFGS-B,hessian=TRUE,
 control=list(trace=6,maxit=1000))
 
 There are two problems in this input. the up and lo only define a 
range
 of -1~1 for x1 to x11, which can not meet the requirement (3). In 
addition,
 there is not any constraint imposed on x12. I have no idea how to 
specify a
 matrix that can impose different constraints on individual variables in 
a
 function. Any suggestion is highly appreciated.
 
 Best,
 Hao
 
 
 -- 
 View this message in context: http://r.789695.n4.nabble.com/
 question-about-constraint-minimization-tp3050880p3050880.html
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 https://stat.ethz.ch/mailman/listinfo/r-help
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 and provide commented, minimal, self-contained, reproducible code.

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