Erlang (programming language)/Tutorials/Simplify: Difference between revisions

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imported>Eric Evers
imported>Eric Evers
Line 4: Line 4:
Lets simplify some numerical values recursively. Humans like to  
Lets simplify some numerical values recursively. Humans like to  
read numbers in simplest form. Rather than  
read numbers in simplest form. Rather than  
     0+1i  
     0 + 1i  
humans prefer  
humans prefer  
     i
     i

Revision as of 10:44, 3 November 2008

Simply Numerics

(auto-demotion of numerical types)

Lets simplify some numerical values recursively. Humans like to read numbers in simplest form. Rather than

    0 + 1i 

humans prefer

    i

Rather than

    4.000

the integer

    4 

looks nicer. In a matrix, we prefer the integers when possible, so we construct the following function: simplify, which is overloaded for many types of arguments, integer, float, imaginary, complex and matrix. We wish to remove extra zeros when possible, because they can be a distraction, and do not add any thing to calculations. This is an example of auto-demotion of numerical types. Many programming languages have auto-promotion of numerical types but almost never have auto-demotion.

-module(simple).
-compile(export_all). 

% Simplifies numbers by removing zeros 
 
start() -> 
	Inputs = [ 
 		3.3, 
 		3.0,
		{4,0,i},
		{3.0,i}, 
		{0,3,i}, 
		{0,3.3,i},
		[ [1.0,2.0], [3.0,4.0] ],
		[ [{0,1,i},{3.0,i}], [4,5.0] ],
		[ [1, 2, 3], [5.0, 4, 3] ]
		],
	Outputs = lists:map(fun simple:simplify/1, Inputs),
	Arrows = lists:duplicate(length(Outputs),"  ->  "),
	Inputs_and_Outputs = zipit(Inputs,Arrows,Outputs),
	Inputs_and_Outputs.

simplify(A) when trunc(A) == A ->          % 1.0 -> 1
	trunc(A);                           % make float integer
	
simplify({B,i}) ->                         % 1.0 i ->  1 i
	{simplify(B),i};                    % simplify imaginary

simplify({A,0,i}) ->                       % 2.2 + 0 i -> 2.2
       simplify(A);                        % make complex real
 	
simplify({0,B,i}) ->                       % 0 + B i -> B i 
       {simplify(B),i};                    % make complex imaginary
	
simplify({A,B,i}) ->                       % 1.0 + 2.0 i -> 1 + 2 i
       {simplify(A),simplify(B),i};        % simplify complex
 	
simplify([[A,B],[C,D]]) ->                 % [[ A.0, B.0 ]   ->  [[A,B]   
       [ [simplify(A), simplify(B)],       %  [ C.0, D.0 ]]       [C,D]] 
         [simplify(C), simplify(D)] ];     % simplify 2x2 matrix

simplify([]) -> [];                        %  [A.0, B.0, C.0 ...] -> [A,B,C...]
simplify([H|T]) ->                         % simplify vectors and matrixes   
       [simplify(H)] ++ simplify(T);       % of any size
	                                        
simplify(A) ->								 
       A.
	
zipit([],[],[]) -> [];                      % [1,2,3],[a,b,c],[do,re,me] ->	
zipit([H1|T1],[H2|T2],[H3|T3]) ->           %   [{1,a,do},{2,b,re},{3,b,me}]
       [{H1,H2,H3}] ++ zipit(T1,T2,T3).     % tripple zip

Outputs

Simplified numbers

1> c(simple).                       % compile
{ok,simple}
2> simple:start().                  % run
[{3.30000,"  ->  ",3.30000},
 {3.00000,"  ->  ",3},
 {{4,0,i},"  ->  ",4},
 {{3.00000,i},"  ->  ",{3,i}},
 {{0,3,i},"  ->  ",{3,i}},
 {{0,3.30000,i},"  ->  ",{3.30000,i}},
 {[[1.00000,2.00000],[3.00000,4.00000]],
  "  ->  ",
  [[1,2],[3,4]]},
 {[[{0,1,i},{3.00000,i}],[4,5.00000]],
  "  ->  ",
  [[{1,i},{3,i}],[4,5]]},
 {[[1,2,3],[5.00000,4,3]],"  ->  ",[[1,2,3],[5,4,3]]}]