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Created with Raphaël 2.2.013Jul12111098764230Jun292523151325May20829Apr282721151187654131Mar302928252423222117161514832122Feb212015Jan24Nov26Oct2019141314Sep31Aug271091Apr30Mar231914922Feb201413108754330Jan24191816158Dec227Nov18171611943229Oct2623222120191413729Sep2825242221181716159875331Aug302726252418121065431Jul30292221201918171614131279Jun22May2015121110328Apr272220161412118762127Mar26252423201917151412109625Feb241716141312111031Jan2015146330Dec1918328Nov2726251918Update ML comparison.Works well for realistic parameters.Keeping alpha outside close to one allows 1000fold difference.Still works extremely well for 100fold difference in D.Comparison with Matlab works for small differences in diffusion.Fixing bug in x outside (x out started at 0, no R).Comment out adaptive time stepping.Fix layout to <= 80 characters per line.Merge remote-tracking branch 'origin/3D-two-matrices'Revert parallel for loop. Too complicated, not enough promise for speed-NOT sure whether 3D solution is correct at r=0. I tried a couple other values in A_in[1,1:2] but made things worse. Started working on adaptive time stepping.3D-two-matrices3D-two-matricesCleaned code, now working with parameter geometryupdate ML.WIP: parallel for loop for matrix inversion.3D in new code seems to work.Really close match with ML for finer mesh.Works in 30s for D_out/D_in = 2000.Fixed typo in spacing.Introduce variable delta x and domain size.cosmetics.Interpolation in t works.Limit boundary conditions to tridiagonal form.Shortening code.Ratio of D_out/D_in = 20 still works okay.Shorten function. Same result.1D comparison between Julia and Matlab works.Inner and outer domain coupled, partitioning works.Dirichlet boundary conditions work, now need to couple to matrices.Dirichlet boundary condition right works.Tridiagonal matrix makes huge difference!!Introduce a second domain as an exact copy of the first for now.Starting work on connecting two matrices instead of a single one.Finer spacing.Update plotting.Comparison works well inside, for every other time point. Julia stillAdded file with examples of function calls updated to latest version of eff_dropReducing-input-…Reducing-input-parametersDescription arguments solve_D + layoutFRAP and Matlab initial conditions now unified in "FRAP"Getting rid of parameter "B" boundary (Neumann or Experimental). Now defined internally based on IC.Changed experimenta initial condition: now vector ["Exp", u0E, BE, tE]