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authorMiguel <m.i@gmx.at>2019-04-02 20:36:52 +0200
committerMiguel <m.i@gmx.at>2019-04-02 20:36:52 +0200
commit1017a2614c1708bac638fec5108b5dc83729f760 (patch)
tree1fb2d58fb757162fa03ccad631fbbd97f5afaaea /00_blog/00040_Haskell
parentb0f9cc1c78ddf0a9d0b6f23dc07817625dbe209c (diff)
some new stuff
Diffstat (limited to '00_blog/00040_Haskell')
-rw-r--r--00_blog/00040_Haskell/00010_Links-and-Literature/index.md3
-rw-r--r--00_blog/00040_Haskell/00020_GHC-Notes/index.md30
-rw-r--r--00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/alpha.pngbin0 -> 555961 bytes
-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.md7
-rw-r--r--00_blog/00040_Haskell/00240_FFI-Foreign-Function-Interface/index.md19
6 files changed, 59 insertions, 138 deletions
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
new file mode 100644
index 0000000..a8cbe34
--- /dev/null
+++ b/00_blog/00040_Haskell/00040_Convex-and-Concave-Hulls/alpha.png
Binary files differ
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
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style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="226.2427629753817" y1="260.4928511647599" x2="282.75471021838604" y2="222.40422121056434" style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="282.75471021838604" y1="222.40422121056434" x2="287.55861698920245" y2="191.54124064684203" style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="287.55861698920245" y1="191.54124064684203" x2="277.6246746037615" y2="90.30367358125177" style="stroke:rgb(255,0,0);stroke-width:2"></line> <line x1="277.6246746037615" y1="90.30367358125177" x2="251.5850563588106" y2="65.40572671380644" 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.png){}\
+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>
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+ 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>
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