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BUC 5
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BUC 5ELEC446.BUC5 HistoryHide minor edits - Show changes to output Changed line 11 from:
*[[Attach:mcmc to:
*[[Attach:mcmc | mcmc.m]] Changed line 40 from:
*[[Attach:Fox_IMI_ to:
*[[Attach:Fox_IMI_movie.mp4 | movie]] Changed lines 36-40 from:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat | slide.mat]], or as [[Attach:slide.tif|slide.tif]]. Matlab code [[Attach:makefake.m | makefake.m]] that generated the image, and uses functions [[Attach:putgood.m | putgood.m]] and [[Attach:putbad.m | putbad.m]]. to:
*Image of good and bad cells in Matlab mat format [[Attach:slide.mat | slide.mat]], or as [[Attach:slide.tif|slide.tif]]. Matlab code [[Attach:makefake.m | makefake.m]] that generated the image, and uses functions [[Attach:putgood.m | putgood.m]] and [[Attach:putbad.m | putbad.m]]. *''Public Lecture'' *[[Attach:Fox_IMI_PL.pdf | slides]] *[[Attach:Fox_IMI_videa.mp4 | movie]] Added lines 30-32:
*''Lecture 3'' *[[Attach:Lecture3Slides.pdf | slides]] Changed lines 32-35 from:
* *Tune the window size for your RWM sampler, *Consider error in the final time T, T~Unif[1 *Evaluate the linearized forward map for D(x)->u(x,T), using the secant method and the simple FEM program supplied. What is the effective rank of this map? to:
*[[Attach:Compute3.pdf | Task sheet]] *Image of good and bad cells in Matlab mat format [[Attach:slide.mat | slide.mat]], or as [[Attach:slide.tif|slide.tif]]. Matlab code [[Attach:makefake.m | makefake.m]] that generated the image, and uses functions [[Attach:putgood.m | putgood.m]] and [[Attach:putbad.m | putbad.m]]. Added lines 30-35:
*''Compute 3'' *Complete your sampler for the inverse problem in (constant) D *Tune the window size for your RWM sampler, or better still (challenge question) plot a graph of IACT as function of window w to find the optimal w *Consider error in the final time T, T~Unif[1.8,2.2]. Perform joint inference for D and T, and say whether inference for D is significantly altered. *Evaluate the linearized forward map for D(x)->u(x,T), using the secant method and the simple FEM program supplied. What is the effective rank of this map? Changed line 27 from:
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*Some good books on FEM Changed line 29 from:
*[[http://www.springer.com/us/book/9780387205748 | Ern and Guermond]] to:
*[[http://www.springer.com/us/book/9780387205748 | Ern and Guermond]] Changed line 23 from:
*Consider error in the final time T, T~Unif[1.8,2.2]. to:
*Consider error in the final time T, T~Unif[1.8,2.2]. Perform joint inference for D and T, and say whether inference for D is significantly altered. Changed lines 28-29 from:
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*[[http://www.springer.com/us/book/9783540548225 | Hackbusch]] *[[http://www.springer.com/us/book/9780387205748 | Ern and Guermond]] Changed lines 25-29 from:
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* Some good books on FEM * [[http://www.springer.com/us/book/9783540548225 | Hackbusch]] * [[http://www.springer.com/us/book/9780387205748 | Ern and Guermond]] Changed lines 18-25 from:
*Andres' [[Attach:Minicourse.zip |zip file]] to:
*Andres' [[Attach:Minicourse.zip |zip file]] *''Compute 2'' *Complete your sampler for the inverse problem in (constant) D *Tune the window size for your RWM sampler, or better still (challenge question) plot a graph of IACT as function of window w to find the optimal w *Consider error in the final time T, T~Unif[1.8,2.2]. perform joint inference for D and T, and say whether inference for D is significantly altered. *Evaluate the linearized forward map for D(x)->u(x,T), using the secant method and the simple FEM program supplied. What is the effective rank of this map? *[[Attach:heatfem.m | heatfem.m]] that builds FEM matrices for heat problem Changed line 10 from:
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*''Compute 1'' (for m-files, right click to 'Save As' to get formatting correct) Changed line 17 from:
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*''Python code'' Changed line 7 from:
*Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] has useful statements of basic to:
*Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] has useful statements of basic MCMC methods and theorems Changed line 15 from:
*[[Attach:heatfem.m | to:
*[[Attach:heatfem.m | heatfem.m]] that builds FEM matrices for heat problem Added line 15:
*[[Attach:heatfem.m |FEM matrices for heat problem]] Changed line 17 from:
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*Andres' [[Attach:Minicourse.zip |zip file]] Changed lines 7-9 from:
*Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] to:
*Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] has useful statements of basic methods ad theorems Changed lines 14-17 from:
*[[Attach:Dmcmc.m |Code to sample inverse heat problem]] to:
*[[Attach:Dmcmc.m |Code to sample inverse heat problem]] *"Python code" * Changed lines 13-14 from:
*[[Attach:tauvsw.m |Code to plot IACT as function of window using mcgauss.m]] to:
*[[Attach:tauvsw.m |Code to plot IACT as function of window using mcgauss.m]] *[[Attach:Dmcmc.m |Code to sample inverse heat problem]] Changed line 10 from:
*"Compute 1" to:
*"Compute 1" (for m-files, right click to 'Save As' to get formatting correct) Added line 10:
*"Compute 1" Changed lines 12-13 from:
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*Ulli Wollf's [[http://www.physik.hu-berlin.de/com/ALPHAsoft/ | UWerr MatLab code]] and documentation *[[Attach:tauvsw.m |Code to plot IACT as function of window using mcgauss.m]] Changed lines 5-7 from:
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*''Some Reading '' * [[Attach:BUC5notes.pdf | lecture notes]] (so far) *Gareth Roberts' [[http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/roberts/st911/notes2012partiii.pdf | notes on Statistical Inference]] *[[Attach:mcgauss.m | mcgauss.m]] * Changed lines 1-2 from:
Resources for BUC5 computing labs: Instructors: [[ to:
'+Resources for BUC5 computing labs:+' Instructors: [[http://elecphysics.otago.ac.nz/w/index.php/Colin_Fox|Colin Fox]] and [[http://www.cimat.mx/~jac/| J Andres Christen]] Changed lines 1-6 from:
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Resources for BUC5 computing labs: Instructors: [[Colin_Fox|Colin Fox]] and [http://www.cimat.mx/~jac/ J Andres Christen] *[[Attach:Ass3_2016.pdf | Problem sheet]] *Image of good and bad cells in Matlab mat format [[Attach:slide.mat | slide.mat]], or as [[Attach:slide.tif|slide.tif]]. Matlab code [[Attach:makefake.m | makefake.m]] that generated the image, and uses functions [[Attach:putgood.m | putgood.m]] and [[Attach:putbad.m | putbad.m]]. |