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Summary

DSA complete summary

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All material from weeks 1 to 6 of DSA for econometrics students

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  • February 1, 2024
  • 10
  • 2023/2024
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esraa al-obaydi
insertionsort -(f bounds


for j = 2 to n do TIN) =
(f (N) iff E c
,
no >O S t . .
O MI Ro ,
T(n) <C .




f(n)

current = A [j] ; T(n) = (f(N)) iff 7 <, no >O S t .

.
O MERo ,
T(N) < c .


F(N

i =
j
-
1 ; T(N) = 0 (f(n)) iff 74 , ,
2020 S .
t .
O R = No
,
4 .




f(n) [T(n) EG .



f(n)

while i <O and A [i] > current do


A [i + ] A [i] correctness of algorithms
=




i 1 1j by induction
=

-




of iterations i
end 7) IH >
-


a loop invariant condition ,
in terms


A [i + 1] = current ; 2) base case


end 3) inductive step

4) conclusion


comparison Cased current8 previous element to
algorithm >
compares
- -




determine their correct position in the sorted list example proof Insertionsort Literative algorithms)
1) the start of j-1]
IH : at iteration j ,
the
subarray A [1 : is sorted


worst case in order 2) base case show that at the start of iteration j the
array reverse 2
: : =
,




↳ 0(n2) A [1]
subarray is
trivially sorted by def

3) inductive
best case
array is
already sorted step show that each iteration of the loop maintains
: :




↳ -(n) the loop invariant


↳ intuition :
for iteration j ,
the while loop in the


runtime
algorithm body of the loop sequentially moves
every
T(N = an + 2(n 1) + (s(n 1) + cu& E tj + Cs
S 2(tj=
-
1) + element A [j-1] , Alj-2] , one element to the


(2(tj -
1) + 20(n- )
right ,
until A[j] can be inserted ,
hence


before the next iteration of the loop ,
A
[ij]
best case: T(n) = (2 + (2 + (3 + (4 + (0) .




n -

(2 + (3 + (4 + (0) is sorted


4) induction
=
a .



n -
b :
by induction, we conclude that the loop invariant holds


for all
J .




specifically at the last check for


divide 8 conquer N+ )
algorithm the loop condition (I = which proves that the

7) divide : break the
given problem into sulproblems of the same
array is sorted .




type
2) Conquer :

recursively solve these sueproblems , if suproblem example proof Mergesort
is small
enough ,
solve
directly 7) IH : In
every recursive call on an
array with
length <i algorithm ,




3) Combine combine the returns sorted
:
appropiatly answers
array
2) base step :
for E ,
the IH holds ,
since A is sorted


3)
Merge Sort induction :
take
any K with In, assume holds o
arrays of size ick



show that
based on divide & conquer 6(n loga (n) we have to IH holds for i = k

,

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