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| -rw-r--r-- | 00_blog/00030_Computer-Games/00150_TU-Racer/index.md | 7 | ||||
| -rw-r--r-- | 00_blog/00030_Computer-Games/00200_Inside-Out/index.md | 20 | ||||
| -rw-r--r-- | 00_blog/00030_Computer-Games/00200_Inside-Out/insideout.mp4 | bin | 0 -> 1669010 bytes | |||
| -rw-r--r-- | 00_blog/00030_Computer-Games/00200_Inside-Out/insideout.webm | bin | 0 -> 1000359 bytes | |||
| -rw-r--r-- | 00_blog/00035_Programming/00008_Computer-Science-Literature/index.md | 1 | ||||
| -rw-r--r-- | 00_blog/00040_Haskell/00010_Links-and-Literature/index.md | 3 | ||||
| -rw-r--r-- | 00_blog/00040_Haskell/00020_GHC-Notes/index.md | 30 | ||||
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| -rw-r--r-- | 00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/index.md (renamed from 00_blog/00040_Haskell/00040_Graham-Scan/index.md) | 138 | ||||
| -rw-r--r-- | 00_blog/00040_Haskell/00220_Neural-Networks/index.md | 7 | ||||
| -rw-r--r-- | 00_blog/00040_Haskell/00240_FFI-Foreign-Function-Interface/index.md | 19 |
11 files changed, 83 insertions, 142 deletions
diff --git a/00_blog/00030_Computer-Games/00150_TU-Racer/index.md b/00_blog/00030_Computer-Games/00150_TU-Racer/index.md index 0fa52b7..b6fd943 100644 --- a/00_blog/00030_Computer-Games/00150_TU-Racer/index.md +++ b/00_blog/00030_Computer-Games/00150_TU-Racer/index.md @@ -5,10 +5,11 @@ My top rated Game Project from University Times implemented for the legendary _Computergraphik_ II & III Courses. You participate in deadly races around the Technical University, as well -as in psychodelic worlds to earn money for your tuition fees, which the -Austrian government just invented. (back then in 00s...) +as in some psychodelic worlds to earn money for your tuition fees, which the +Austrian government just invented, back then in the 2000s. :smile: -The game is using a custom game engine based on raw OpenGL. +The game and physics use a custom engine based on raw OpenGL, which was +written from scratch. <video controls> <source src="turacer.mp4" type="video/mp4"> diff --git a/00_blog/00030_Computer-Games/00200_Inside-Out/index.md b/00_blog/00030_Computer-Games/00200_Inside-Out/index.md new file mode 100644 index 0000000..f179141 --- /dev/null +++ b/00_blog/00030_Computer-Games/00200_Inside-Out/index.md @@ -0,0 +1,20 @@ + June 2018 +# Inside Out + +This simple game is the fruit of my first experiments with the cross-platform +2D/3D game engine Godot. Godot targets PC, mobile and web platforms. + + +<video controls> +<source src="insideout.mp4" type="video/mp4"> +<source src="insideout.webm" type="video/webm"> + Sorry, Your browser does not support the video tag. + +</video> + +## Ref +* <https://godotengine.org/> + +<!-- +source code locally in ~/miguel/nogit/godot_inside_out/ +--> diff --git a/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.mp4 b/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.mp4 Binary files differnew file mode 100644 index 0000000..46eabbb --- /dev/null +++ b/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.mp4 diff --git a/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.webm b/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.webm Binary files differnew file mode 100644 index 0000000..080ffb8 --- /dev/null +++ b/00_blog/00030_Computer-Games/00200_Inside-Out/insideout.webm diff --git a/00_blog/00035_Programming/00008_Computer-Science-Literature/index.md b/00_blog/00035_Programming/00008_Computer-Science-Literature/index.md index 114294e..c850f0c 100644 --- a/00_blog/00035_Programming/00008_Computer-Science-Literature/index.md +++ b/00_blog/00035_Programming/00008_Computer-Science-Literature/index.md @@ -26,7 +26,6 @@ This is a list of some books, focusing on topics around computer science, which * Linux Device Drivers (O’REILLEY, by Corbert, Rubini, Kroah-Hartman) * Linux Kernel in a Nutshell (O’REILLEY, Greg Kroah-Hartman) * Concrete Math (2nd) -* STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing / Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams * sedgewick & waynes algorithms * books from appendix, from programming from ground up? diff --git a/00_blog/00040_Haskell/00010_Links-and-Literature/index.md b/00_blog/00040_Haskell/00010_Links-and-Literature/index.md index b09733d..4ede8c0 100644 --- a/00_blog/00040_Haskell/00010_Links-and-Literature/index.md +++ b/00_blog/00040_Haskell/00010_Links-and-Literature/index.md @@ -1,10 +1,11 @@ # Haskell - Books, Links and Papers -A growing collection of external links and books concerning Haskell. +A growing collection of external links and books concerning (or tangent to) Haskell. * **Learn You a Haskell** for Great Good by Marian Lipovaca * **Real World Haskell** by Bryan O'Sullivan, Don Stewart, and John Goerzen * **Parallel and Concurrent Programming in Haskell** by Simon Marlow +* **Category Theory for Programmers** by Bartosz Milewski * **Haskell Wiki** <https://wiki.haskell.org> * **UPENN CIS 194** <https://www.seas.upenn.edu/~cis194/spring13/> * **What I Wish I Knew When Learning Haskell** by Stephen Diehl <http://dev.stephendiehl.com/hask/> diff --git a/00_blog/00040_Haskell/00020_GHC-Notes/index.md b/00_blog/00040_Haskell/00020_GHC-Notes/index.md index c945319..acee63f 100644 --- a/00_blog/00040_Haskell/00020_GHC-Notes/index.md +++ b/00_blog/00040_Haskell/00020_GHC-Notes/index.md @@ -2,33 +2,35 @@ ## Some GHC Flags - -v verbose mode - -O2 level 2 optimizations - -rtsopts allow +RTS flags - -prof enable basic time and allocation profiling - -auto-all cost centers on all top level functions - (you can also add them via the SCC pragma) - -caf-all generate data for CAFs (constant applicative forms) - -fforce-recomp force recompilation + -v verbose mode + -O2 level 2 optimizations + -rtsopts allow +RTS flags + -prof enable basic time and allocation profiling + -auto-all cost centers on all top level functions + (you can also add them via the SCC pragma) + -fprof-auto replaced -auto-all + -caf-all generate data for CAFs (constant applicative forms) + -fprof-cafs replaced -caf-all + -fforce-recomp force recompilation -threaded Use threaed runtime -eventlog enables +RTS -l flag -Wall -Werror + -no-hs-main supress linking main module + Notes: you will obtain the profiling versions of dependancies via: stack install --profile [libraryname] - -fprof-auto replaced -auto-all - -fprof-cafs replaced -caf-all ## Some +RTS flags - -K set stack limit + -K set stack limit -s statistic reporting - -p profiling - -hc extract heap profile - -hy allocation by type + -p profiling + -hc extract heap profile + -hy allocation by type -hd allocation by constructor -ix x is sampling frequency in seconds. e.g. 0.01) -Nx x is number of cores to utilize diff --git a/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/alpha.png b/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/alpha.png Binary files differnew file mode 100644 index 0000000..a8cbe34 --- /dev/null +++ b/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/alpha.png diff --git a/00_blog/00040_Haskell/00040_Graham-Scan/index.md b/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/index.md index 195dbe1..d68abcd 100644 --- a/00_blog/00040_Haskell/00040_Graham-Scan/index.md +++ b/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/index.md @@ -1,128 +1,20 @@ -Haskell – Convex Hull – Graham Scan -=================================== + December 2017 +# Calculating Convex and Concave Hulls -December 16, 2017 +Experimenting with Convex and Concave Hulls with Haskell -Playing with Convex Hulls (via Graham Scan) and SVG Export in Haskell: - -This is an embedded SVG generated by the Haskell programm below: +## Concave <svg style="background-color:black;border:3px solid green;margin:2px;" width="330" height="330"><circle cx="250.04284841107818" cy="201.75346959836142" r="5" fill="rgb(30,150,112)"></circle> <circle cx="168.06592772450588" cy="111.843758303498" r="5" fill="rgb(30,150,47)"></circle> <circle cx="189.1691117845287" cy="250.13932743386943" r="5" fill="rgb(30,150,107)"></circle> <circle cx="130.9047490592456" cy="253.98605115515113" r="5" fill="rgb(30,150,108)"></circle> <circle cx="133.43531697969132" cy="255.82160214659208" r="5" fill="rgb(30,150,109)"></circle> <circle cx="182.304020607504" cy="105.5457583516454" r="5" fill="rgb(30,150,60)"></circle> <circle 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style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="251.5850563588106" y1="65.40572671380644" x2="204.0380699117014" y2="37.35498291700646" style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="204.0380699117014" y1="37.35498291700646" x2="130.64433518067872" y2="28.1630727673696" style="stroke:rgb(255,0,0);stroke-width:2"></line></svg> +SVG generated via Graham Scan + +## Convex +{}\ +Alpha Shapes and Concave Hulls obtained from the delaunay triangulation + +## Ref + +* STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing / Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ {.haskell .numberLines} ---------------------------------------------------------------------------------------------- --- --- GRAHAM SCAN IMPLEMENTATION --- --- This little haskell programm calulates the Convex Hull for a set of 2D points. --- It ships wit a main function that feeds the Graham Scan algorithm with some --- random points and generates a simple SVG of the input points and resulting envelope. --- A simple SVG encoder is included. --- --- Alogrithm used: https://en.wikipedia.org/wiki/Graham_scan --- --- CREDITS -- --- --- Michal Idziorek <m.i@gmx.at> --- 16 December 2017 --- ---------------------------------------------------------------------------------------------- - -import Data.List -import System.Random - ---------------------------------------------------------------------------------------------- - --- GRAHAM SCAN -- - --- Three points are clockwise if ccw < 0. -ccw (p1x,p1y) (p2x,p2y) (p3x,p3y) = (p2x - p1x)*(p3y - p1y) - (p2y - p1y)*(p3x - p1x) - --- Calculate the slope defined by 2 points. (return Infinity, if points are identical). -slope (ax,ay) (bx,by) | (ax,ay ) == (bx,by) = 1/0 -- Infinity - | otherwise = (bx-ax)/(by-ay) - --- Comparison function to sort points counterclockwise (given a reference point). -slope_cmp a b c = compare (slope a c) (slope a b) - --- Comparison function using the y and x coordinates for ordering. -graham_cmp (ax,ay) (bx,by) | ay /= by = compare ay by - | otherwise = compare ax bx - --- Graham scan on prepared data. this will calculate the convex hull. -graham_calc [] hs = hs -graham_calc (x1:xs) hh | length(hh) < 2 = graham_calc xs (x1:hh) -graham_calc xx@(x1:xs) hh@(h1:h2:hs) | ccw x1 h1 h2 < 0 = graham_calc xs (x1:hh) - | otherwise = graham_calc xx (h2:hs) - --- Find the starting point, sort all points counterclockwise and perform the graham scan. -graham xs = graham_calc sortedPoints [] - where minPoint = minimumBy graham_cmp xs - sortedPoints = sortBy (slope_cmp minPoint) xs - ---------------------------------------------------------------------------------------------- - --- XML ENCODING-- - -xml_attr (x:xs) = x++"=\""++(head xs)++"\" " -xml_enc tag attrs body = "<"++tag++" "++xml_attrs++">"++body++"</"++tag++">" - where xml_attrs = unlines $ map xml_attr attrs - --- SVG ENCODING -- - --- hardcoded scaling and panning function -svg_transf x = x*30+5 - -line_to_svg ((x1,y1),(x2,y2)) = xml_enc "line" [["x1",show lx1],["y1",show ly1], - ["x2",show lx2],["y2",show ly2], - ["style", "stroke:rgb(255,0,0);stroke-width:2"]] "" - where lx1=svg_transf x1 - lx2=svg_transf x2 - ly1=svg_transf y1 - ly2=svg_transf y2 - -point_to_svg (x,y) = xml_enc "circle" [["cx",show cx],["cy",show cy],["r","5"], - ["fill","rgb(30,150,"++(show (floor dist))++")"]] "" - where cx=svg_transf x - cy=svg_transf y - dist= (sqrt ((x-5)*(x-5) + (y-5)*(y-5)))*255/8 - - - --- draws SVG points and lines (in hardcoded sizes and colors) -svg_draw p l = xml_enc "svg" [style,["width","330"],["height","330"]] body - where style = ["style", - "background-color:black;border:3px solid green;margin:2px;"] - body = (unlines (map point_to_svg p )) ++ - (unlines (map line_to_svg l )) - --- calculate convex hull and generate svg -svg_graham xs = svg_draw xs (zip hull hull_open) - where hull_open = graham xs - hull = (last hull_open) : hull_open - --- RANDOMIZING -- - -randomPoints g cnt = take cnt (zip r10a r10b) - where r5 = randomRs (0,5) g :: [Double] - r10a =zipWith (+) r5 (drop cnt r5) - r10b =zipWith (+) (drop (2*cnt) r5) (drop (3*cnt) r5) - ---------------------------------------------------------------------------------------------- - --- MAIN -- - --- Note that this is the only place of impurity in this source-file. --- Is is subject to side effects due to I/O (we are writng to stdout) --- and the random number generator. -main = do - g <- newStdGen - putStr (svg_graham (randomPoints g 25)) - putStr (svg_graham (randomPoints g 50)) - putStr (svg_graham (randomPoints g 100)) - putStr (svg_graham (randomPoints g 250)) - putStr (svg_graham (randomPoints g 500)) - putStr (svg_graham (randomPoints g 1500)) - ---------------------------------------------------------------------------------------------- -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +## Git +* <https://gitweb.softwarefools.com/?p=miguel/haskell.git;a=tree;f=hulls> diff --git a/00_blog/00040_Haskell/00220_Neural-Networks/index.md b/00_blog/00040_Haskell/00220_Neural-Networks/index.md index 16b39d0..e298046 100644 --- a/00_blog/00040_Haskell/00220_Neural-Networks/index.md +++ b/00_blog/00040_Haskell/00220_Neural-Networks/index.md @@ -64,6 +64,12 @@ yourself familiar with, when learning about neural networks. * backpropagation (based on 4 fudnamental equations / check proofs) * weighted input * saturated neuron +* softmax +* log-likehood +* overfitting +* hyper-parameters +* validation data +* regularization (l1,l2,dropout) ## Git Repo @@ -75,3 +81,4 @@ yourself familiar with, when learning about neural networks. * [2] <http://yann.lecun.com/exdb/mnist/> * [3] <http://www.deeplearningbook.org/> * [4] <https://medium.com/tebs-lab/how-to-classify-mnist-digits-with-different-neural-network-architectures-39c75a0f03e3> +* [5] <https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html> diff --git a/00_blog/00040_Haskell/00240_FFI-Foreign-Function-Interface/index.md b/00_blog/00040_Haskell/00240_FFI-Foreign-Function-Interface/index.md new file mode 100644 index 0000000..892f4cd --- /dev/null +++ b/00_blog/00040_Haskell/00240_FFI-Foreign-Function-Interface/index.md @@ -0,0 +1,19 @@ + March 2019 +# Haskell - Foreign Function Interface + +Haskell's FFI allows easily to cooperate with other languages. Foreign functions can call Haskell code and vice versa. +Simple examples can be found in my git repository [1]. For now, the provided Makefile exposes two interesting targets: + +* **c\_from\_hask** - simple program with a C function called from Haskell. +* **hask\_from\_c** - simple programm with a Haskell function called from C. + +The next step is to pass more complicated structures via _ForeignPtr_'s. + +## Notes + +* since version 8.4 GHC guarantees that garbage collection will never occur during an unsafe call. + +## Ref +* [1] <https://gitweb.softwarefools.com/?p=miguel/haskell.git;a=tree;f=ffi> +* [2] <https://downloads.haskell.org/~ghc/latest/docs/html/users_guide/ffi-chap.html#> +* [3] <https://wiki.haskell.org/Foreign_Function_Interface> |
