Grokking Algorithms


Finds the smallest element in the



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grokking-algorithms-illustrated-programmers-curious

Finds the smallest element in the 
array, and adds it to the new array


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Recap
• Your computer’s memory is like a giant set of drawers.
• When you want to store multiple elements, use an array or a list.
• With an array, all your elements are stored right next to each other.
• With a list, elements are strewn all over, and one element stores
the address of the next one.
• Arrays allow fast reads.
• Linked lists allow fast inserts and deletes.
• All elements in the array should be the same type (all ints,
all doubles, and so on).
Chapter 2
 
 
I
 
 
Selection sort


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3
In this chapter
• You learn about recursion. Recursion is a coding 
technique used in many algorithms. It’s a building 
block for understanding later chapters in this book.
• You learn how to break a problem down into a 
base case and a recursive case. The divide-and- 
conquer strategy (chapter 4) uses this simple
concept to solve hard problems.
recursion
I’m excited about this chapter because it covers 
recursion
, an 
elegant way to solve problems. Recursion is one of my favorite 
topics, but it’s divisive. People either love it or hate it, or hate it until 
they learn to love it a few years later. I personally was in that third 
camp. To make things easier for you, I have some advice:
• This chapter has a lot of code examples. Run the code for yourself 
to see how it works. 
• I’ll talk about recursive functions. At least once, step through a 
recursive function with pen and paper: something like, “Let’s see, 
I pass 5 into 
factorial
, and then I return 5 times passing 4 into 
factorial
, which is …,” and so on. Walking through a function 
like this will teach you how a recursive function works.


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