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{{task|Arithmetic operations}}
;Task: Write a program to find the sum of squares of a numeric vector.
The program should work on a zero-length vector (with an answer of '''0''').
;Related task:
- [[Mean]]
0815
{x{*%<:d:~$<:1:~>><:2:~>><:3:~>><:4:~>><:5:~>><:6:~>><:7:
~>><:8:~>><:9:~>><:a:~>><:b:~>><:c:~>><:ffffffffffffffff:
~>{x{*>}:8f:{x{*&{=+>{~>&=x<:ffffffffffffffff:/#:8f:{{~%
{{out}}
0
28A
360 Assembly
* Sum of squares 27/08/2015
SUMOFSQR CSECT
USING SUMOFSQR,R12
LR R12,R15
LA R7,A a(1)
SR R6,R6 sum=0
LA R3,1 i=1
LOOPI CH R3,N do i=1 to hbound(a)
BH ELOOPI
L R5,0(R7) a(i)
M R4,0(R7) a(i)*a(i)
AR R6,R5 sum=sum+a(i)**2
LA R7,4(R7) next a
LA R3,1(R3) i=i+1
B LOOPI end i
ELOOPI XDECO R6,PG+23 edit sum
XPRNT PG,80
XR R15,R15
BR R14
A DC F'1',F'2',F'3',F'4',F'5',F'6',F'7',F'8',F'9',F'10'
PG DC CL80'The sum of squares is: '
N DC AL2((PG-A)/4)
YREGS
END SUMOFSQR
{{out}}
The sum of squares is: 385
ACL2
(defun sum-of-squares (xs) (if (endp xs) 0 (+ (* (first xs) (first xs)) (sum-of-squares (rest xs)))))
ActionScript
function sumOfSquares(vector:Vector.<Number>):Number { var sum:Number = 0; for(var i:uint = 0; i < vector.length; i++) sum += vector[i]*vector[i]; return sum; }
Ada
with Ada.Text_IO; use Ada.Text_IO;
procedure Test_Sum_Of_Squares is
type Float_Array is array (Integer range <>) of Float;
function Sum_Of_Squares (X : Float_Array) return Float is
Sum : Float := 0.0;
begin
for I in X'Range loop
Sum := Sum + X (I) ** 2;
end loop;
return Sum;
end Sum_Of_Squares;
begin
Put_Line (Float'Image (Sum_Of_Squares ((1..0 => 1.0)))); -- Empty array
Put_Line (Float'Image (Sum_Of_Squares ((3.0, 1.0, 4.0, 1.0, 5.0, 9.0))));
end Test_Sum_Of_Squares;
{{out}}
0.00000E+00
1.33000E+02
Aime
real
squaredsum(list l)
{
integer i;
real s;
s = 0;
i = -~l;
while (i) {
s += sq(l[i += 1]);
}
s;
}
integer
main(void)
{
list l;
l = list(0, 1, 2, 3);
o_form("~\n", squaredsum(l));
o_form("~\n", squaredsum(list()));
o_form("~\n", squaredsum(list(.5, -.5, 2)));
0;
}
{{out}}
14
0
4.5
ALGOL 68
{{works with|ALGOL 68|Revision 1 - no extensions to language used}}
{{works with|ALGOL 68G|Any - tested with release [http://sourceforge.net/projects/algol68/files/algol68g/algol68g-1.18.0/algol68g-1.18.0-9h.tiny.el5.centos.fc11.i386.rpm/download 1.18.0-9h.tiny]}}
{{works with|ELLA ALGOL 68|Any (with appropriate job cards) - tested with release [http://sourceforge.net/projects/algol68/files/algol68toc/algol68toc-1.8.8d/algol68toc-1.8-8d.fc9.i386.rpm/download 1.8-8d]}}
The computation can be written as a loop.
PROC sum of squares = ([]REAL argv)REAL:(
REAL sum := 0;
FOR i FROM LWB argv TO UPB argv DO
sum +:= argv[i]**2
OD;
sum
);
test:(
printf(($g(0)l$,sum of squares([]REAL(3, 1, 4, 1, 5, 9))));
)
{{out}}
133
Another implementation could define a procedure ('''proc''') or operator ('''op''') called '''map'''.
{{trans|python}}
[]REAL data = (3, 1, 4, 1, 5, 9);
PROC map = ( PROC(REAL)REAL func, []REAL argv)REAL:
( REAL out:=0; FOR i FROM LWB argv TO UPB argv DO out:=func(argv[i]) OD; out);
test:(
REAL sum := 0;
printf(($xg(0)l$, map ( ((REAL argv)REAL: sum +:= argv ** 2), data) ));
PRIO MAP = 5; # the same priority as the operators <, =<, >=, & > maybe... #
OP MAP = ( PROC(REAL)REAL func, []REAL argv)REAL:
( REAL out:=0; FOR i FROM LWB argv TO UPB argv DO out:=func(argv[i]) OD; out);
sum := 0;
printf(($g(0)l$, ((REAL argv)REAL: sum +:= argv ** 2) MAP data ))
)
{{out}}
133
133
{{works with|ALGOL 68|Revision 1 - requires the Currying extension}}
{{works with|ALGOL 68G|Any - tested with release a68g-2.8.3}}
{{wont work with|ELLA ALGOL 68|Any (with appropriate job cards) - tested with release [http://sourceforge.net/projects/algol68/files/algol68toc/algol68toc-1.8.8d/algol68toc-1.8-8d.fc9.i386.rpm/download 1.8-8d]}} The computation can be written as a generator.
#!/usr/bin/a68g --script #
# -*- coding: utf-8 -*- #
MODE YIELDREAL = PROC(REAL)VOID;
MODE GENREAL = PROC(YIELDREAL)VOID;
PROC gen real of vector = ([]REAL data, YIELDREAL yield)VOID:
FOR i FROM LWB data TO UPB data DO yield(data[i]) OD;
PROC real sum sq of gen = (GENREAL gen real)REAL: (
REAL sum:=0;
# FOR REAL value IN # gen real(#) DO (#
(REAL value)VOID:(
sum+:=value**2
# OD #));
sum
);
PROC real sum map of gen = (PROC(REAL)REAL func, GENREAL gen real)REAL: (
REAL sum:=0;
# FOR REAL value IN # gen real(#) DO (#
(REAL value)VOID:(
sum+:=func(value)
# OD #));
sum
);
OP GEN = ([]REAL array)GENREAL:gen real of vector(array,);
OP (GENREAL #gen real#)REAL SUMSQ = real sum sq of gen;
PRIO SUMMAP = 5;
OP (PROC(REAL)REAL #func#, GENREAL #gen real#)REAL SUMMAP = real sum map of gen;
test:(
[]REAL data = (3, 1, 4, 1, 5, 9);
# Permutations of the above routines #
printf(($"real sum sq GEN: "g(0)l$, real sum sq of gen(GEN data)));
printf(($"real sum sq real gen: "g(0)l$, real sum sq of gen(gen real of vector(data,))));
printf(($"real sum map real gen: "g(0)l$, real sum map of gen(((REAL x)REAL: x*x),gen real of vector(data,))));
printf(($"SUMSQ real gen: "g(0)l$, SUMSQ gen real of vector(data,)));
printf(($"SUMSQ GEN: "g(0)l$, SUMSQ GEN data));
printf(($"sq SUMMAP GEN: "g(0)l$, ((REAL x)REAL: x*x)SUMMAP GEN data))
)
{{out}}
real sum sq GEN: 133
real sum sq real gen: 133
real sum map real gen: 133
SUMSQ real gen: 133
SUMSQ GEN: 133
sq SUMMAP GEN: 133
ALGOL W
begin
% procedure to sum the elements of a vector. As the procedure can't find %
% the bounds of the array for itself, we pass them in lb and ub %
real procedure sumSquares ( real array vector ( * )
; integer value lb
; integer value ub
) ;
begin
real sum;
sum := 0;
for i := lb until ub do sum := sum + ( vector( i ) * vector( i ) );
sum
end sumOfSquares ;
% test the sumSquares procedure %
real array numbers ( 1 :: 5 );
for i := 1 until 5 do numbers( i ) := i;
r_format := "A"; r_w := 10; r_d := 1; % set fixed point output %
write( sumSquares( numbers, 1, 5 ) );
end.
Alore
def sum_squares(a)
var sum = 0
for i in a
sum = sum + i**2
end
return sum
end
WriteLn(sum_squares([3,1,4,1,5,9]))
end
APL
square_sum←{+/⍵*2}
square_sum 1 2 3 4 5
55
square_sum ⍬ ⍝The empty vector
0
AppleScript
Two ways of composing a sumOfSquares function:
-- TWO APPROACHES – SUM OVER MAP, AND DIRECT FOLD ---------------------------- -- sumOfSquares :: Num a => [a] -> a on sumOfSquares(xs) script squared on |λ|(x) x ^ 2 end |λ| end script sum(map(squared, xs)) end sumOfSquares -- sumOfSquares2 :: Num a => [a] -> a on sumOfSquares2(xs) script plusSquare on |λ|(a, x) a + x ^ 2 end |λ| end script foldl(plusSquare, 0, xs) end sumOfSquares2 -- TEST ---------------------------------------------------------------------- on run set xs to [3, 1, 4, 1, 5, 9] {sumOfSquares(xs), sumOfSquares2(xs)} -- {133.0, 133.0} end run -- GENERIC FUNCTIONS --------------------------------------------------------- -- foldl :: (a -> b -> a) -> a -> [b] -> a on foldl(f, startValue, xs) tell mReturn(f) set v to startValue set lng to length of xs repeat with i from 1 to lng set v to |λ|(v, item i of xs, i, xs) end repeat return v end tell end foldl -- map :: (a -> b) -> [a] -> [b] on map(f, xs) tell mReturn(f) set lng to length of xs set lst to {} repeat with i from 1 to lng set end of lst to |λ|(item i of xs, i, xs) end repeat return lst end tell end map -- Lift 2nd class handler function into 1st class script wrapper -- mReturn :: Handler -> Script on mReturn(f) if class of f is script then f else script property |λ| : f end script end if end mReturn -- sum :: Num a => [a] -> a on sum(xs) script add on |λ|(a, b) a + b end |λ| end script foldl(add, 0, xs) end sum
{{Out}}
{133.0, 133.0}
Arturo
arr $(range 1 10)
print $(sum $(map arr { &^2 }))
{{out}}
385
Astro
sum([1, 2, 3, 4]²)
AutoHotkey
list = 3 1 4 1 5 9
Loop, Parse, list, %A_Space%
sum += A_LoopField**2
MsgBox,% sum
AWK
Vectors are read, space-separated, from stdin; sum of squares goes to stdout. The empty line produces 0.
$ awk '{s=0;for(i=1;i<=NF;i++)s+=$i*$i;print s}'
3 1 4 1 5 9
133
0
BASIC
{{works with|QBasic}}
Assume the numbers are in an array called a
.
sum = 0
FOR I = LBOUND(a) TO UBOUND(a)
sum = sum + a(I) ^ 2
NEXT I
PRINT "The sum of squares is: " + sum
=
BaCon
=
' Sum of squares
FUNCTION ss(int arr[], NUMBER elem)
sum = 0
FOR i = 0 TO elem - 1
sum = sum + POW(arr[i], 2)
NEXT
RETURN sum
END FUNCTION
' 1 to 10 in the test vector, or 1 to -s n
option = CMDLINE("s:")
IF option = ASC("s") THEN
elem = VAL(ARGUMENT$)
ELSE
elem = 10
END IF
DECLARE vector TYPE int ARRAY elem
FOR i = 0 TO elem - 1
vector[i] = i + 1
NEXT
PRINT ss(vector, elem)
{{out}}
prompt$ ./sumsquares
385
prompt$ ./sumsquares -s 1000
333833500
=
BBC BASIC
= BBC BASIC cannot have a zero-length array.
DIM vector(5)
vector() = 1, 2, 3, 4, 5, 6
PRINT "Sum of squares = " ; MOD(vector()) ^ 2
{{out}}
Sum of squares = 91
==={{header|IS-BASIC}}===
## bc
```bc
define s(a[], n) {
auto i, s
for (i = 0; i < n; i++) {
s += a[i] * a[i]
}
return(s)
}
Bracmat
( ( sumOfSquares
= sum component
. 0:?sum
& whl
' ( !arg:%?component ?arg
& !component^2+!sum:?sum
)
& !sum
)
& out$(sumOfSquares$(3 4))
& out$(sumOfSquares$(3 4 i*5))
& out$(sumOfSquares$(a b c))
);
{{out}}
25
0
a^2+b^2+c^2
Brat
p 1.to(10).reduce 0 { res, n | res = res + n ^ 2 } #Prints 385
C
#include <stdio.h> double squaredsum(double *l, int e) { int i; double sum = 0.0; for(i = 0 ; i < e ; i++) sum += l[i]*l[i]; return sum; } int main() { double list[6] = {3.0, 1.0, 4.0, 1.0, 5.0, 9.0}; printf("%lf\n", squaredsum(list, 6)); printf("%lf\n", squaredsum(list, 0)); /* the same without using a real list as if it were 0-element long */ printf("%lf\n", squaredsum(NULL, 0)); return 0; }
C++
#include <iostream> #include <numeric> #include <vector> double add_square(double prev_sum, double new_val) { return prev_sum + new_val*new_val; } double vec_add_squares(std::vector<double>& v) { return std::accumulate(v.begin(), v.end(), 0.0, add_square); } int main() { // first, show that for empty vectors we indeed get 0 std::vector<double> v; // empty std::cout << vec_add_squares(v) << std::endl; // now, use some values double data[] = { 0, 1, 3, 1.5, 42, 0.1, -4 }; v.assign(data, data+7); std::cout << vec_add_squares(v) << std::endl; return 0; }
Alternative version using {{libheader|Boost.Lambda}}:
#include <numeric> #include <vector> #include "boost/lambda/lambda.hpp" double vec_add_squares(std::vector<double>& v) { using namespace boost::lambda; return std::accumulate(v.begin(), v.end(), 0.0, _1 + _2 * _2); }
C#
using System; using System.Collections.Generic; using System.Linq; class Program { static int SumOfSquares(IEnumerable<int> list) { return list.Sum(x => x * x); } static void Main(string[] args) { Console.WriteLine(SumOfSquares(new int[] { 4, 8, 15, 16, 23, 42 })); // 2854 Console.WriteLine(SumOfSquares(new int[] { 1, 2, 3, 4, 5 })); // 55 Console.WriteLine(SumOfSquares(new int[] { })); // 0 } }
Chef
Sum of squares.
First input is length of vector, then rest of input is vector.
Ingredients.
1 g eggs
0 g bacon
Method.
Put bacon into the 1st mixing bowl.
Take eggs from refrigerator.
Square the eggs.
Take bacon from refrigerator.
Put bacon into 2nd mixing bowl.
Combine bacon into 2nd mixing bowl.
Fold bacon into 2nd mixing bowl.
Add the bacon into the 1st mixing bowl.
Ask the eggs until squared.
Pour contents of the 1st mixing bowl into the 1st baking dish.
Serves 1.
Clojure
(defn sum-of-squares [v] (reduce #(+ %1 (* %2 %2)) 0 v))
CoffeeScript
sumOfSquares = ( list ) ->
list.reduce (( sum, x ) -> sum + ( x * x )), 0
Common Lisp
(defun sum-of-squares (vector) (loop for x across vector sum (expt x 2)))
Crystal
def sum_squares(a) a.map{|e| e*e}.sum() end puts sum_squares([1, 2, 3]) # => 14
D
Iterative Version
T sumSquares(T)(T[] a) pure nothrow @safe @nogc { T sum = 0; foreach (e; a) sum += e ^^ 2; return sum; } void main() { import std.stdio: writeln; [3.1, 1.0, 4.0, 1.0, 5.0, 9.0].sumSquares.writeln; }
{{out}}
133.61
Polymorphic Functional Style
import std.stdio, std.algorithm, std.traits, std.range; auto sumSquares(Range)(Range data) pure nothrow @safe @nogc { return reduce!q{a + b ^^ 2}(ForeachType!Range(0), data); } void main() { immutable items = [3.1, 1.0, 4.0, 1.0, 5.0, 9.0]; items.sumSquares.writeln; 10.iota.sumSquares.writeln; }
{{out}}
133.61
285
Dart
Iterative Version
sumOfSquares(list) { var sum=0; list.forEach((var n) { sum+=(n*n); }); return sum; } main() { print(sumOfSquares([])); print(sumOfSquares([1,2,3])); print(sumOfSquares([10])); }
{{out}}
0
14
100
Functional Style Version
num sumOfSquares(List<num> l) => l.map((num x)=>x*x) .fold(0, (num p,num n)=> p + n); void main(){ print(sumOfSquares([])); print(sumOfSquares([1,2,3])); print(sumOfSquares([10])); }
{{out}}
0
14
100
Delphi
Delphi has standard SumOfSquares function in Math unit:
program SumOfSq;
{$APPTYPE CONSOLE}
uses Math;
type
TDblArray = array of Double;
var
A: TDblArray;
begin
Writeln(SumOfSquares([]):6:2); // 0.00
Writeln(SumOfSquares([1, 2, 3, 4]):6:2); // 30.00
A:= nil;
Writeln(SumOfSquares(A):6:2); // 0.00
A:= TDblArray.Create(1, 2, 3, 4);
Writeln(SumOfSquares(A):6:2); // 30.00
Readln;
end.
E
def sumOfSquares(numbers) {
var sum := 0
for x in numbers {
sum += x**2
}
return sum
}
Eiffel
class
APPLICATION
create
make
feature -- Initialization
make
local
a: ARRAY [INTEGER]
do
a := <<1, -2, 3>>
print ("%NSquare sum of <<1, 2, 3>>: " + sum_of_square (a).out)
a := <<>>
print ("%NSquare sum of <<>>: " + sum_of_square (a).out)
end
feature -- Access
sum_of_square (a: ITERABLE [INTEGER]): NATURAL
-- sum of square of each items
do
Result := 0
across a as it loop
Result := Result + (it.item * it.item).as_natural_32
end
end
end
Elena
ELENA 4.1 :
import system'routines;
import extensions;
SumOfSquares(list)
= list.selectBy:(x => x * x).summarize(new Integer());
public program()
{
console
.printLine(SumOfSquares(new int[]::(4, 8, 15, 16, 23, 42)))
.printLine(SumOfSquares(new int[]::(1, 2, 3, 4, 5)))
.printLine(SumOfSquares(Array.MinValue))
}
{{out}}
2854
55
0
Elixir
iex(1)> Enum.reduce([3,1,4,1,5,9], 0, fn x,sum -> sum + x*x end) 133
Emacs Lisp
(defun sum-square (ls)
(apply '+ (mapcar (lambda (k) (* k k) ) ls) ))
(insert (format "%d"(sum-square (number-sequence 0 3) )))
Output:
14
Erlang
lists:foldl(fun(X, Sum) -> X*X + Sum end, 0, [3,1,4,1,5,9]).
Euphoria
function SumOfSquares(sequence v)
atom sum
sum = 0
for i = 1 to length(v) do
sum += v[i]*v[i]
end for
return sum
end function
Excel
To find the sum of squares of values from A1 to A10, type in any other cell :
=SUMSQ(A1:A10)
The above expression will return zero if there are no values in any cell.
5691
## Factor
```factor
USE: math sequences ;
: sum-of-squares ( seq -- n ) [ sq ] map-sum ;
{ 1.0 2.0 4.0 8.0 16.0 } sum-of-squares
FALSE
0 3 1 4 1 5 9$*\ [$0=~][$*+\]#%.
Fantom
class SumSquares
{
static Int sumSquares (Int[] numbers)
{
Int sum := 0
numbers.each |n| { sum += n * n }
return sum
}
public static Void main ()
{
Int[] n := [,]
echo ("Sum of squares of $n = ${sumSquares(n)}")
n = [1,2,3,4,5]
echo ("Sum of squares of $n = ${sumSquares(n)}")
}
}
Fish
v
\0&
>l?!v:*&+&
>&n;
=={{header|Fōrmulæ}}==
In [https://wiki.formulae.org/Sum_of_squares this] page you can see the solution of this task.
Fōrmulæ programs are not textual, visualization/edition of programs is done showing/manipulating structures but not text ([http://wiki.formulae.org/Editing_F%C5%8Drmul%C3%A6_expressions more info]). Moreover, there can be multiple visual representations of the same program. Even though it is possible to have textual representation —i.e. XML, JSON— they are intended for transportation effects more than visualization and edition.
The option to show Fōrmulæ programs and their results is showing images. Unfortunately images cannot be uploaded in Rosetta Code.
Forth
: fsum**2 ( addr n -- f )
0e
dup 0= if 2drop exit then
floats bounds do
i f@ fdup f* f+
1 floats +loop ;
create test 3e f, 1e f, 4e f, 1e f, 5e f, 9e f,
test 6 fsum**2 f. \ 133.
Fortran
In ISO Fortran 90 orlater, use SUM intrinsic and implicit element-wise array arithmetic:
real, dimension(1000) :: a = (/ (i, i=1, 1000) /)
real, pointer, dimension(:) :: p => a(2:1) ! pointer to zero-length array
real :: result, zresult
result = sum(a*a) ! Multiply array by itself to get squares
result = sum(a**2) ! Use exponentiation operator to get squares
zresult = sum(p*p) ! P is zero-length; P*P is valid zero-length array expression; SUM(P*P) == 0.0 as expected
FreeBASIC
' FB 1.05.0 Win64
Function SumSquares(a() As Double) As Double
Dim As Integer length = UBound(a) - LBound(a) + 1
If length = 0 Then Return 0.0
Dim As Double sum = 0.0
For i As Integer = LBound(a) To UBound(a)
sum += a(i) * a(i)
Next
Return sum
End Function
Dim a(5) As Double = {1.0, 2.0, 3.0, -1.0, -2.0, -3.0}
Dim sum As Double = SumSquares(a())
Print "The sum of the squares is"; sum
Print
Print "Press any key to quit"
Sleep
{{out}}
The sum of the squares is 28
Frink
f = {|x| x^2} // Anonymous function which squares its argument
a = [1,2,3,5,7]
println[sum[map[f,a], 0]]
=={{header|F_Sharp|F#}}==
[1 .. 10] |> List.fold (fun a x -> a + x * x) 0 [|1 .. 10|] |> Array.fold (fun a x -> a + x * x) 0
GAP
# Just multiplying a vector by itself yields the sum of squares (it's an inner product)
# It's necessary to check for the empty vector though
SumSq := function(v)
if Size(v) = 0 then
return 0;
else
return v*v;
fi;
end;
GEORGE
read (n) print ;
0
1, n rep (i)
read print dup mult +
]
print
data
11
8
12
15
6
25
19
33
27
3
37
4
results:
1.100000000000000E+0001 << number of values (11)
8.000000000000000 << 11 data
1.200000000000000E+0001
1.500000000000000E+0001
6.000000000000000
2.500000000000000E+0001
1.900000000000000E+0001
3.300000000000000E+0001
2.700000000000000E+0001
3.000000000000000
3.700000000000000E+0001
4.000000000000000
4.667000000000000E+0003 << sum of squares
Go
;Implementation
package main import "fmt" var v = []float32{1, 2, .5} func main() { var sum float32 for _, x := range v { sum += x * x } fmt.Println(sum) }
{{out}}
5.25
;Library
package main import ( "fmt" "github.com/gonum/floats" ) var v = []float64{1, 2, .5} func main() { fmt.Println(floats.Dot(v, v)) }
{{out}}
5.25
Golfscript
{0\{.*+}%}:sqsum;
# usage example
[1 2 3]sqsum puts
Groovy
def array = 1..3 // square via multiplication def sumSq = array.collect { it * it }.sum() println sumSq // square via exponentiation sumSq = array.collect { it ** 2 }.sum() println sumSq
{{out}}
14
14
Haskell
Three approaches:
main :: IO () main = mapM_ print $ [ sum . fmap (^ 2) -- ver 1 , sum . ((^ 2) <$>) -- ver 2 , foldr ((+) . (^ 2)) 0 -- ver 3 ] <*> [[3, 1, 4, 1, 5, 9], [1 .. 6], [], [1]]
{{Out}}
133
91
0
1
133
91
0
1
133
91
0
1
IDL
print,total(array^2)
=={{header|Icon}} and {{header|Unicon}}==
procedure main()
local lst
lst := []
#Construct a simple list and pass it to getsum
every put(lst,seq()\2)
write(getsum(lst))
end
procedure getsum(lst)
local total
total := 0
every total +:= !lst ^ 2
return total
end
Inform 7
Sum Of Squares is a room.
To decide which number is the sum of (N - number) and (M - number) (this is summing):
decide on N + M.
To decide which number is (N - number) squared (this is squaring):
decide on N * N.
To decide which number is the sum of squares of (L - list of numbers):
decide on the summing reduction of squaring applied to L.
When play begins:
say the sum of squares of {};
say line break;
say the sum of squares of {1, 2, 3};
end the story.
Io
list(3,1,4,1,5,9) map(squared) sum
J
ss=: +/ @: *:
That is, sum composed with square. The verb also works on higher-ranked arrays. For example:
ss 3 1 4 1 5 9
133
ss $0 NB. $0 is a zero-length vector
0
x=: 20 4 ?@$ 0 NB. a 20-by-4 table of random (0,1) numbers
ss x
9.09516 5.19512 5.84173 6.6916
The computation can also be written as a loop. It is shown here for comparison only and is highly non-preferred compared to the version above.
ss1=: 3 : 0
z=. 0
for_i. i.#y do. z=. z+*:i{y end.
)
ss1 3 1 4 1 5 9
133
ss1 $0
0
ss1 x
9.09516 5.19512 5.84173 6.6916
Java
{{works with|Java|1.5+}}
public class SumSquares
{
public static void main(final String[] args)
{
double sum = 0;
int[] nums = {1,2,3,4,5};
for (int i : nums)
sum += i * i;
System.out.println("The sum of the squares is: " + sum);
}
}
JavaScript
ES5
function sumsq(array) { var sum = 0; var i, iLen; for (i = 0, iLen = array.length; i < iLen; i++) { sum += array[i] * array[i]; } return sum; } alert(sumsq([1,2,3,4,5])); // 55
An alternative using a while loop and Math.pow
function sumsq(array) { var sum = 0, i = array.length; while (i--) sum += Math.pow(array[i], 2); return sum; } alert(sumsq([1,2,3,4,5])); // 55
{{libheader|Functional}}
Functional.reduce("x+y*y", 0, [1,2,3,4,5])
map (JS 1.6) and reduce (JS 1.8)
[3,1,4,1,5,9].map(function (n) { return Math.pow(n,2); }).reduce(function (sum,n) { return sum+n; });
ES6
Two ways of composing a sumOfSquares function
(() => { 'use strict'; // squared :: Num a => a -> a const squared = x => Math.pow(x, 2); // sum :: (Num a) => [a] -> a const sum = xs => xs.reduce((a, x) => a + x, 0); // sumOfSquares :: Num a => [a] -> a const sumOfSquares = xs => sum(xs.map(squared)); // sumOfSquares2 :: Num a => [a] -> a const sumOfSquares2 = xs => xs.reduce((a, x) => a + squared(x), 0); return [sumOfSquares, sumOfSquares2] .map(f => f([3, 1, 4, 1, 5, 9])) .join('\n'); })();
{{Out}}
133
133
jq
jq supports both arrays and streams, and so we illustrate how to handle both.
# ss for an input array:
def ss: map(.*.) | add;
# ss for a stream, S, without creating an intermediate array:
def ss(S): reduce S as $x (0; . + ($x * $x) );
We can also use a generic "SIGMA" filter that behaves like the mathematical SIGMA:
# SIGMA(exp) computes the sum of exp over the input array:
def SIGMA(exp): map(exp) | add;
# SIGMA(exp; S) computes the sum of exp over elements of the stream, S,
# without creating an intermediate array:
def SIGMA(exp; S): reduce (S|exp) as $x (0; . + $x);
Finally, a "mapreduce" filter:
def mapreduce(mapper; reducer; zero):
if length == 0 then zero
else map(mapper) | reducer
end;
Demonstration:
def demo(n):
"ss: \( [range(0;n)] | ss )",
"ss(S): \( ss( range(0;n) ) )",
"SIGMA(.*.): \( [range(0;n)] | SIGMA(.*.) )",
"SIGMA(.*.;S): \( SIGMA( .*.; range(0;n) ) )",
"mapreduce(.*.; add; 0): \( [range(0;n)] | mapreduce(.*.; add; 0) )"
;
demo(3) # 0^2 + 1^2 + 2^2
{{out}}
"ss: 5"
"ss(S): 5"
"SIGMA(.*.): 5"
"SIGMA(.*.;S): 5"
"mapreduce(.*.; add; 0): 5"
Julia
There are several easy ways to do this in Julia:
sum([1,2,3,4,5].^2)
55
julia> sum([x^2 for x in [1,2,3,4,5]])
55
julia> mapreduce(x->x^2,+,[1:5])
55
julia> sum([x^2 for x in []])
0
K
ss: {+/x*x}
ss 1 2 3 4 5
55
ss@!0
0
Kotlin
// version 1.0.6 fun main(args: Array<String>) { val vector = doubleArrayOf(3.1, 1.0, 4.0, 1.0, 5.0, 9.0) println(vector.map { it * it }.sum()) val vector2 = doubleArrayOf() // empty vector println(vector2.map { it * it }.sum()) }
{{out}}
133.61
0.0
Lang5
[1 2 3 4 5] 2 ** '+ reduce .
Lasso
define sumofsquares(values::array) => {
local(sum = 0)
with value in #values do {
#sum += #value * #value
}
return #sum
}
sumofsquares(array(1,2,3,4,5))
{{out}}
55
LFE
(defun sum-sq (nums) (lists:foldl (lambda (x acc) (+ acc (* x x))) 0 nums))
Usage:
> (sum-sq '(3 1 4 1 5 9)) 133
Liberty BASIC
' [RC] Sum of Squares
SourceList$ ="3 1 4 1 5 9"
'SourceList$ =""
' If saved as an array we'd have to have a flag for last data.
' LB has the very useful word$() to read from delimited strings.
' The default delimiter is a space character, " ".
SumOfSquares =0
n =0
data$ ="666" ' temporary dummy to enter the loop.
while data$ <>"" ' we loop until no data left.
data$ =word$( SourceList$, n +1) ' first data, as a string
NewVal =val( data$) ' convert string to number
SumOfSquares =SumOfSquares +NewVal^2 ' add to existing sum of squares
n =n +1 ' increment number of data items found
wend
n =n -1
print "Supplied data was "; SourceList$
print "This contained "; n; " numbers."
print "Sum of squares is "; SumOfSquares
end
LiveCode
put "1,2,3,4,5" into nums
repeat for each item n in nums
add (n * n) to m
end repeat
put m // 55
Logo
print apply "sum map [? * ?] [1 2 3 4 5] ; 55
Logtalk
sum(List, Sum) :-
sum(List, 0, Sum).
sum([], Sum, Sum).
sum([X| Xs], Acc, Sum) :-
Acc2 is Acc + X,
sum(Xs, Acc2, Sum).
Lua
function squaresum(a, ...) return a and a^2 + squaresum(...) or 0 end function squaresumt(t) return squaresum(unpack(t)) end print(squaresumt{3, 5, 4, 1, 7})
M2000 Interpreter
M2000 use two concepts for arrays: standard array like A() and pointer to array as A. Pointer arithmetic not allowed here. Standard arrays are values types, and pointers are reference types. So we can handle an array both with pointer and without.
Dim A() 'make an array with zero items
A=(,) 'make a pointer to array with zero items
A=(1,) 'make a pointer to array with one item
A()=A 'make a copy of array pointed by A to A()
A=A() 'make A a pointer for A()
Dim A(10)=1 'redim A() and pass 1 to each item
k=lambda m=1->{=m:m++} ' a lambda function with a closure m
Dim B(10)<<k() 'fill B() from 1 to 10
A()=B() ' copy B() to A(), A() object stay as is, but new items loaded, so pointer A points to A.
A+=100 ' add 100 to each element of A()
A(0)+=100 ' add 100 to first element
A()=Cons(A,A)
Now A and A() prints a 20 item array (Cons() add a list of arrays)
Print A ' or Print A() print the same
And this is the task, using a lambda function (we can use a standard function, just use Function Square { code here })
Because M2000 modules and functions use stack for passing values, we use read statement to read a value. Functions in expressions has no return to stack because they have own stack, so passing values are filled in a fresh stack in every call. This not hold if we call function using Call (as a module), so stack is passed from parent (caller).
When we pass an array in stack, a pointer to array (to one of two interfaces) and depends the name type of a read to make this a copy or a pointer to array. So here we use: read a as a pointer to array (so it is a by reference pass). We can use Read a() and then a=a() (and remove Link a to a()), so we use by value pass, and that is a decision from callee, not the caller (this happen for objects)
Module Checkit {
A=(1,2,3,4,5)
Square=lambda -> {
read a
if len(a)=0 then =0: exit
link a to a()
\\ make sum same type as a(0)
sum=a(0)-a(0)
for i=0 to len(a)-1 {sum+=a(i)*a(i)}
=sum
}
Print Square(a)=55
Print Square((,))=0 ' empty array
Dim k(10)=2, L()
Print Square(K())=40
Print Square(L())=0
A=(1@,2@,3@,4@,5@)
X=Square(A)
Print Type$(X)="Decimal", X=55@
}
Checkit
Maple
F := V -> add(v^2, v in V):
F(<1,2,3,4,5>);
Mathematica
As a function 1:
SumOfSquares[x_]:=Total[x^2]
SumOfSquares[{1,2,3,4,5}]
As a function 2:
SumOfSquares[x_]:=x.x
SumOfSquares[{1,2,3,4,5}]
Pure function 1: (postfix operator in the following examples)
{1,2,3,4,5} // Total[#^2] &
Pure function 2:
{1, 2, 3, 4, 5} // #^2 & // Total
Pure function 3:
{1, 2, 3, 4, 5} // #.#&
MATLAB
function [squaredSum] = sumofsquares(inputVector) squaredSum = sum( inputVector.^2 );
Maxima
nums : [3,1,4,1,5,9];
sum(nums[i]^2,i,1,length(nums));
or
nums : [3,1,4,1,5,9];
lsum(el^2, el, nums);
Mercury
:- import_module io. :- pred main(io::di, io::uo) is det.
:- implementation. :- import_module int, list.
main(!IO) :- io.write_int(sum_of_squares([3, 1, 4, 1, 5, 9]), !IO), io.nl(!IO).
:- func sum_of_squares(list(int)) = int.
sum_of_squares(Ns) = list.foldl((func(N, Acc) = Acc + N * N), Ns, 0).
## min
{{works with|min|0.19.3}}
```min
((bool) ((dup *) (+) map-reduce) (pop 0) if) :sq-sum
(1 2 3 4 5) sq-sum puts
() sq-sum puts
{{out}}
55
0
MiniScript
sumOfSquares = function(seq)
sum = 0
for item in seq
sum = sum + item*item
end for
return sum
end function
print sumOfSquares([4, 8, 15, 16, 23, 42])
print sumOfSquares([1, 2, 3, 4, 5])
print sumOfSquares([])
{{out}}
2854
55
0
=={{header|МК-61/52}}==
=={{header|Modula-3}}==
```modula3
MODULE SumSquares EXPORTS Main;
IMPORT IO, Fmt;
TYPE RealArray = ARRAY OF REAL;
PROCEDURE SumOfSquares(x: RealArray): REAL =
VAR sum := 0.0;
BEGIN
FOR i := FIRST(x) TO LAST(x) DO
sum := sum + x[i] * x[i];
END;
RETURN sum;
END SumOfSquares;
BEGIN
IO.Put(Fmt.Real(SumOfSquares(RealArray{3.0, 1.0, 4.0, 1.0, 5.0, 9.0})));
IO.Put("\n");
END SumSquares.
MOO
@verb #100:sum_squares this none this rd
@program #100:sum_squares
sum = 0;
list = args[1];
for i in (list)
sum = sum + (i^2);
endfor
player:tell(toliteral(list), " => ", sum);
.
{{out}}
;#100:sum_squares({3,1,4,1,5,9})
{3, 1, 4, 1, 5, 9} => 133
;#100:sum_squares({})
{} => 0
MUMPS
SUMSQUARE(X)
;X is assumed to be a list of numbers separated by "^"
NEW RESULT,I
SET RESULT=0,I=1
FOR QUIT:(I>$LENGTH(X,"^")) SET RESULT=($PIECE(X,"^",I)*$PIECE(X,"^",I))+RESULT,I=I+1
QUIT RESULT
Nemerle
SS(x : list[double]) : double
{
|[] => 0.0
|_ => x.Map(fun (x) {x*x}).FoldLeft(0.0, _+_)
}
NetRexx
/*NetRexx *************************************************************
* program to sum the squares of a vector of fifteen numbers.
* translated from REXX
* 14.05.2013 Walter Pachl
**********************************************************************/
numeric digits 50 /*allow 50-digit # (default is 9)*/
v='-100 9 8 7 6 0 3 4 5 2 1 .5 10 11 12' /* vector with some #s. */
n=v.words()
x=''
sum=0 /*initialize SUM to zero. */
/*if vector is empty, sum = zero.*/
loop Until x='' /*loop until list is exhausted */
Parse v x v /* pick next number */
If x>'' Then /* there is a number */
sum=sum + x**2 /*add its square to the sum. */
end
say "The sum of" n "elements for the V vector is:" sum
{{out}}
The sum of 15 elements for the V vector is: 10650.25
NewLISP
(apply + (map (fn(x) (* x x)) '(3 1 4 1 5 9)))
-> 133
(apply + (map (fn(x) (* x x)) '()))
-> 0
Nim
import math, sequtils echo sum(map(@[1,2,3,4,5], proc (x: int): int = x*x))
Objeck
bundle Default {
class Sum {
function : native : SquaredSum(values : Float[]) ~ Float {
sum := 0.0;
for(i := 0 ; i < values->Size() ; i += 1;) {
sum += (values[i] * values[i]);
};
return sum;
}
function : Main(args : String[]) ~ Nil {
SquaredSum([3.0, 1.0, 4.0, 1.0, 5.0, 9.0])->PrintLine();
}
}
}
OCaml
List.fold_left (fun sum a -> sum + a * a) 0 ints
List.fold_left (fun sum a -> sum +. a *. a) 0. floats
Oforth
#sq [1, 1.2, 3, 4.5 ] map sum
Octave
a = [1:10];
sumsq = sum(a .^ 2);
Ol
(define (sum-of-squares l)
(fold + 0 (map * l l)))
(print (sum-of-squares '(1 2 3 4 5 6 7 8 9 10)))
; ==> 385
Order
#include <order/interpreter.h> ORDER_PP(8to_lit( 8seq_fold(8plus, 0, 8seq_map(8fn(8X, 8times(8X, 8X)), 8seq(3, 1, 4, 1, 5, 9))) ))
Oz
declare
fun {SumOfSquares Xs}
for X in Xs sum:S do
{S X*X}
end
end
in
{Show {SumOfSquares [3 1 4 1 5 9]}}
PARI/GP
Generic
It is possible to apply a function, in this case ^2 to each element of an iterable and sum the result:
ss(v)={
sum(i=1,#v,v[i]^2)
};
Specific
For this particular task the product of a row matrix and its transpose is the sum of squares:
n=[2,5,23]
print(n*n~)
n=[]
print(n*n~)
{{out}}
558
0
Pascal
{{works with|Free_Pascal}} {{libheader|Math}} Example from the documenation of the run time library:
Program Example45; { Program to demonstrate the SumOfSquares function. } Uses math; Var I : 1..100; ExArray : Array[1..100] of Float; begin Randomize; for I:=low(ExArray) to high(ExArray) do ExArray[i]:=(Random-Random)*100; Writeln('Max : ',MaxValue(ExArray):8:4); Writeln('Min : ',MinValue(ExArray):8:4); Writeln('Sum squares : ',SumOfSquares(ExArray):8:4); Writeln('Sum squares (b) : ',SumOfSquares(@ExArray[1],100):8:4); end.
Perl
sub sum_of_squares { my $sum = 0; $sum += $_**2 foreach @_; return $sum; } print sum_of_squares(3, 1, 4, 1, 5, 9), "\n";
or
use List::Util qw(reduce); sub sum_of_squares { reduce { $a + $b **2 } 0, @_; } print sum_of_squares(3, 1, 4, 1, 5, 9), "\n";
Perl 6
{{works with|Rakudo|#21 "Seattle"}}
say [+] map * ** 2, 3, 1, 4, 1, 5, 9;
If this expression seems puzzling, note that * ** 2
is equivalent to {$^x ** 2}
— the leftmost asterisk is not the multiplication operator but the Whatever
star, which specifies currying behavior.
Another convenient way to distribute the exponentiation is via the cross metaoperator, which
as a list infix is looser than comma in precedence but tighter than the reduction list operator:
say [+] 3,1,4,1,5,9 X** 2
Phix
?sum(sq_power(tagset(10),2)) -- prints 385
PHP
function sum_squares(array $args) {
return array_reduce(
$args, create_function('$x, $y', 'return $x+$y*$y;'), 0
);
}
In PHP5.3 support for anonymous functions was reworked. While the above code would still work, it is suggested to use
function sum_squares(array $args) {
return array_reduce($args, function($x, $y) {
return $x+$y*$y;
}, 0);
}
Usage for both examples: sum_squares(array(1,2,3,4,5)); // 55
PicoLisp
: (sum '((N) (* N N)) (3 1 4 1 5 9))
-> 133
: (sum '((N) (* N N)) ())
-> 0
PL/I
declare A(10) float initial (10, 9, 8, 7, 6, 5, 4, 3, 2, 1);
put (sum(A**2));
Pop11
define sum_squares(v);
lvars s = 0, j;
for j from 1 to length(v) do
s + v(j)*v(j) -> s;
endfor;
s;
enddefine;
sum_squares({1 2 3 4 5}) =>
PostScript
{{libheader|initlib}}
```postscript
[3 1 4 1 5 9] 0 {dup * +} fold
PowerShell
function Get-SquareSum ($a) { if ($a.Length -eq 0) { return 0 } else { $x = $a ` | ForEach-Object { $_ * $_ } ` | Measure-Object -Sum return $x.Sum } }
PureBasic
Procedure SumOfSquares(List base())
ForEach base()
Sum + base()*base()
Next
ProcedureReturn Sum
EndProcedure
Python
'''Using generator expression'''
sum(x * x for x in [1, 2, 3, 4, 5]) # or sum(x ** 2 for x in [1, 2, 3, 4, 5]) # or sum(pow(x, 2) for x in [1, 2, 3, 4, 5])
'''Functional versions:'''
# using lambda and map: sum(map(lambda x: x * x, [1, 2, 3, 4, 5])) # or sum(map(lambda x: x ** 2, [1, 2, 3, 4, 5])) # or sum(map(lambda x: pow(x, 2), [1, 2, 3, 4, 5])) # using pow and repeat from itertools import repeat sum(map(pow, [1, 2, 3, 4, 5], repeat(2))) # using starmap and mul from itertools import starmap from operator import mul a = [1, 2, 3, 4, 5] sum(starmap(mul, zip(a, a))) # using reduce from functools import reduce powers_of_two = (x * x for x in [1, 2, 3, 4, 5]) reduce(lambda x, y : x + y, powers_of_two) # or from operator import add powers_of_two = (x * x for x in [1, 2, 3, 4, 5]) reduce(add, powers_of_two) # or using a bit more complex lambda reduce(lambda a, x: a + x*x, [1, 2, 3, 4, 5])
'''Using NumPy:'''
import numpy as np a = np.array([1, 2, 3, 4, 5]) np.sum(a ** 2)
Prolog
sum([],0). sum([H|T],S) :- sum(T, S1), S is S1 + (H * H).
Q
ssq:{sum x*x}
R
arr <- c(1,2,3,4,5) result <- sum(arr^2)
Racket
#lang racket
(for/sum ([x #(3 1 4 1 5 9)]) (* x x))
Raven
define sumOfSqrs use $lst
0 $lst each dup * +
[ 1 2 3 4] sumOfSqrs "Sum of squares: %d\n" print
{{out}}
Sum of squares: 30
REXX
input from pgm
/*REXX program sums the squares of the numbers in a (numeric) vector of 15 numbers. */
numeric digits 100 /*allow 100─digit numbers; default is 9*/
v= -100 9 8 7 6 0 3 4 5 2 1 .5 10 11 12 /*define a vector with fifteen numbers.*/
#=words(v) /*obtain number of words in the V list.*/
$= 0 /*initialize the sum ($) to zero. */
do k=1 for # /*process each number in the V vector. */
$=$ + word(v,k)**2 /*add a squared element to the ($) sum.*/
end /*k*/ /* [↑] if vector is empty, then sum=0.*/
/*stick a fork in it, we're all done. */
say 'The sum of ' # " squared elements for the V vector is: " $
'''output''' using an internal vector (list) of numbers:
The sum of 15 squared elements for the V vector is: 10650.25
input from C.L.
/*REXX program sums the squares of the numbers in a (numeric) vector of 15 numbers. */
numeric digits 100 /*allow 100─digit numbers; default is 9*/
parse arg v /*get optional numbers from the C.L. */
if v='' then v= -100 9 8 7 6 0 3 4 5 2 1 .5 10 11 12 /*Not specified? Use default*/
#=words(v) /*obtain number of words in V*/
say 'The vector of ' # " elements is: " space(v) /*display the vector numbers.*/
$= 0 /*initialize the sum ($) to zero. */
do until v==''; parse var v x v /*process each number in the V vector. */
$=$ + x**2 /*add a squared element to the ($) sum.*/
end /*until*/ /* [↑] if vector is empty, then sum=0.*/
say /*stick a fork in it, we're all done. */
say 'The sum of ' # " squared elements for the V vector is: " $
'''output''' using a vector (list) of numbers from the command line:
The vector of 10 elements is: -1000 -100 -10 -1 0 +1 +10 100 1000 1e20
The sum of 10 squared elements for the V vector is: 10000000000000000000000000000000002020202
Ring
aList = [1,2,3,4,5]
see sumOfSquares(aList)
func sumOfSquares sos
sumOfSquares = 0
for i=1 to len(sos)
sumOfSquares = sumOfSquares + pow(sos[i],2)
next
return sumOfSquares
Ruby
[3,1,4,1,5,9].reduce(0){|sum,x| sum + x*x}
or with the Ruby 2.4+ method ''sum''.
[3,1,4,1,5,9].sum{|x| x*x}
Run BASIC
list$ = "1,2,3,4,5"
print sumOfSquares(list$)
FUNCTION sumOfSquares(sos$)
while word$(sos$,i+1,",") <> ""
i = i + 1
sumOfSquares = sumOfSquares + val(word$(sos$,i,","))^2
wend
END FUNCTION
Rust
fn sq_sum(v: &[f64]) -> f64 { v.iter().fold(0., |sum, &num| sum + num*num) } fn main() { let v = vec![3.0, 1.0, 4.0, 1.0, 5.5, 9.7]; println!("{}", sq_sum(&v)); let u : Vec<f64> = vec![]; println!("{}", sq_sum(&u)); }
Sather
class MAIN is
sqsum(s, e:FLT):FLT is
return s + e*e;
end;
sum_of_squares(v :ARRAY{FLT}):FLT is
return (#ARRAY{FLT}(|0.0|).append(v)).reduce(bind(sqsum(_,_)));
end;
main is
v :ARRAY{FLT} := |3.0, 1.0, 4.0, 1.0, 5.0, 9.0|;
#OUT + sum_of_squares(v) + "\n";
end;
end;
Scala
Unfortunately there is no common "Numeric" class that Int and Double both extend, since Scala's number representation maps closely to Java's. Those concerned about precision can define a similar procedure for integers.
def sum_of_squares(xs: Seq[Double]) = xs.foldLeft(0) {(a,x) => a + x*x}
Scheme
(define (sum-of-squares l)
(apply + (map * l l)))
(sum-of-squares (list 3 1 4 1 5 9)) 133
Seed7
$ include "seed7_05.s7i";
include "float.s7i";
const array float: list1 is [] (3.0, 1.0, 4.0, 1.0, 5.0, 9.0);
const array float: list2 is 0 times 0.0;
const func float: squaredSum (in array float: floatList) is func
result
var float: sum is 0.0;
local
var float: number is 0.0;
begin
for number range floatList do
sum +:= number ** 2;
end for;
end func;
const proc: main is func
begin
writeln(squaredSum(list1));
writeln(squaredSum(list2));
end func;
Sidef
func sum_of_squares(vector) { var sum = 0; vector.each { |n| sum += n**2 }; return sum; } say sum_of_squares([]); # 0 say sum_of_squares([1,2,3]); # 14
Slate
{1. 2. 3} reduce: [|:x :y| y squared + x].
{} reduce: [|:x :y| y squared + x] ifEmpty: [0].
Smalltalk
#(3 1 4 1 5 9) inject: 0 into: [:sum :aNumber | sum + aNumber squared]
SNOBOL4
{{works with|Macro Spitbol}} {{works with|Snobol4+}} {{works with|CSnobol}}
define('ssq(a)i') :(ssq_end)
ssq i = i + 1; ssq = ssq + (a<i> * a<i>) :s(sumsq)f(return)
ssq_end
* # Fill array, test and display
str = '1 2 3 5 7 11 13 17 19 23'; a = array(10)
loop i = i + 1; str len(p) span('0123456789') . a<i> @p :s(loop)
output = str ' -> ' sumsq(a)
end
{{out}}
1 2 3 5 7 11 13 17 19 23 -> 1557
Standard ML
foldl (fn (a, sum) => sum + a * a) 0 ints
foldl (fn (a, sum) => sum + a * a) 0.0 reals
SQL
select sum(x*x) from vector
Note that this assumes that the values in our vector are named x
.
Stata
Mata
a = 1..100
sum(a:^2)
338350
a = J(0, 1, .)
length(a)
0
sum(a:^2)
0
Swift
func sumSq(s: [Int]) -> Int { return s.map{$0 * $0}.reduce(0, +) }
Tcl
proc sumOfSquares {nums} { set sum 0 foreach num $nums { set sum [expr {$sum + $num**2}] } return $sum } sumOfSquares {1 2 3 4 5} ;# ==> 55 sumOfSquares {} ;# ==> 0
{{tcllib|struct::list}}
package require struct::list proc square x {expr {$x * $x}} proc + {a b} {expr {$a + $b}} proc sumOfSquares {nums} { struct::list fold [struct::list map $nums square] 0 + } sumOfSquares {1 2 3 4 5} ;# ==> 55 sumOfSquares {} ;# ==> 0
Generic "sum of function"
package require Tcl 8.5 package require struct::list namespace path ::tcl::mathop proc sum_of {lambda nums} { struct::list fold [struct::list map $nums [list apply $lambda]] 0 + } sum_of {x {* $x $x}} {1 2 3 4 5} ;# ==> 55
Trith
[3 1 4 1 5 9] 0 [dup * +] foldl
TUSCRIPT
$$ MODE TUSCRIPT
array="3'1'4'1'5'9",sum=0
LOOP a=array
sum=sum+(a*a)
ENDLOOP
PRINT sum
{{out}}
133
UnixPipes
folder() { (read B; res=$( expr $1 \* $1 ) ; test -n "$B" && expr $res + $B || echo $res) } fold() { (while read a ; do fold | folder $a done) } (echo 3; echo 1; echo 4;echo 1;echo 5; echo 9) | fold
Ursala
The ssq function defined below zips two copies of its argument together, maps the product function to all pairs, and then sums the result by way of the reduction operator, -:.
#import nat
ssq = sum:-0+ product*iip
#cast %n
main = ssq <21,12,77,0,94,23,96,93,72,72,79,24,8,50,9,93>
{{out}}
62223
V
[sumsq [dup *] map 0 [+] fold].
[] sumsq
=0
[1 2 3] sumsq
=14
VBA
Public Sub sum_of_squares()
Debug.Print WorksheetFunction.SumSq([{1,2,3,4,5,6,7,8,9,10}])
End Sub
{{out}}
385
VBScript
Function sum_of_squares(arr)
If UBound(arr) = -1 Then
sum_of_squares = 0
End If
For i = 0 To UBound(arr)
sum_of_squares = sum_of_squares + (arr(i)^2)
Next
End Function
WScript.StdOut.WriteLine sum_of_squares(Array(1,2,3,4,5))
WScript.StdOut.WriteLine sum_of_squares(Array())
{{Out}}
55
0
Visual Basic .NET
Private Shared Function sumsq(ByVal i As ICollection(Of Integer)) As Integer
If i Is Nothing OrElse i.Count = 0 Then
Return 0
End If
Return i.[Select](Function(x) x * x).Sum()
End Function
Private Shared Sub Main()
Dim a As Integer() = New Integer() {1, 2, 3, 4, 5}
' 55
Console.WriteLine(sumsq(a))
For K As Integer = 0 To 16
Console.WriteLine("SumOfSquares({0}) = {1}", K, SumOfSquares(K))
Next
End Sub
Function SumOfSquares(ByVal Max As Integer)
Dim Square As Integer = 0
Dim Add As Integer = 1
Dim Sum As Integer = 0
For J As Integer = 0 To Max - 1
Square += Add
Add += 2
Sum += Square
Next
Return Sum
End Function
Function SumOfSquaresByMult(ByVal Max As Integer)
Dim Sum As Integer = 0
For J As Integer = 1 To Max
Sum += J * J
Next
Return Sum
End Function
{{out}}
55
SumOfSquares(0) = 0
SumOfSquares(1) = 1
SumOfSquares(2) = 5
SumOfSquares(3) = 14
SumOfSquares(4) = 30
SumOfSquares(5) = 55
SumOfSquares(6) = 91
SumOfSquares(7) = 140
SumOfSquares(8) = 204
SumOfSquares(9) = 285
SumOfSquares(10) = 385
SumOfSquares(11) = 506
SumOfSquares(12) = 650
SumOfSquares(13) = 819
SumOfSquares(14) = 1015
SumOfSquares(15) = 1240
SumOfSquares(16) = 1496
Wortel
@sum !*^@sq [3 1 4 1 5 9] ; returns 133
@sum !*^@sq [] ; returns 0
As a function:
^(@sum *^@sq)
Iterative function:
&a [@var sum 0 @for x of a :!+sum *x x sum]
XLISP
The task specification calls for a function that takes a numeric vector. If you want a function that takes a linked list (which would be more idiomatic), just extract the inner function SUMSQ and use that instead of SUM-OF-SQUARES.
(defun sum-of-squares (vec) (defun sumsq (xs) (if (null xs) 0 (+ (expt (car xs) 2) (sumsq (cdr xs))))) (sumsq (vector->list vec))) (define first-seven-primes #(2 3 5 7 11 13 17)) (define zero-length-vector #()) (print `(the sum of the squares of the first seven prime numbers is ,(sum-of-squares first-seven-primes))) (print `(the sum of the squares of no numbers at all is ,(sum-of-squares zero-length-vector)))
{{out}}
(THE SUM OF THE SQUARES OF THE FIRST SEVEN PRIME NUMBERS IS 666)
(THE SUM OF THE SQUARES OF NO NUMBERS AT ALL IS 0)
XPL0
include c:\cxpl\codes; \intrinsic 'code' declarations
func SumSq(V, L);
int V, L;
int S, I;
[S:= 0;
for I:= 0 to L-1 do S:= S+sq(V(I));
return S;
]; \SumSq
[IntOut(0, SumSq([1,2,3,4,5,6,7,8,9,10], 10)); CrLf(0);
IntOut(0, SumSq([0], 0)); CrLf(0); \zero-length vector "[]" doesn't compile
]
{{out}}
385
0
zkl
T().reduce(fcn(p,n){ p + n*n },0) //-->0
T(3,1,4,1,5,9).reduce(fcn(p,n){ p + n*n },0.0) //-->133.0
[1..5].reduce(fcn(p,n){ p + n*n },0) //-->55