Algorithms

Have you ever wondered how a programmer develops games and writes code without having to think too much? Do you want to know what makes a programmer confident about the code they write? Do you want to learn how programmers use algorithms to determine how to structure their programs before they develop it? If you did, this is the book for you.

An algorithm is a set of rules or instructions you provide to a system. The system performs a specific process to answer a question using these instructions. As an amateur or expert, it is important for you to understand what an algorithm is and how you should define it. Once you learn to develop an algorithm, you can easily learn to develop code to execute that algorithm.

This book will also show you how to implement the sorting and searching algorithms using C and Java programming languages, since these are the most common languages used by programmers. Bear in mind an algorithm is only a set of instructions, and this means you can use an algorithm to write code using different programming languages. You will only need to understand the properties of the programming language and use the right syntax.

Are you interested in furthering your knowledge of algorithms? Do you want to learn how they work for real-world problems? Then you''ve come to the right place. This guide will walk you through algorithm design before digging into some of the top design techniques.

Here''s what you will learn:
ΓÇó The steps involved in designing an algorithm
ΓÇó The top algorithm design techniques
ΓÇó The Divide and Conquer algorithm
ΓÇó The Greedy Algorithm
ΓÇó Dynamic Programming
ΓÇó The Branch and Bound Algorithm
ΓÇó The Randomized Algorithm
ΓÇó Recursion and backtracking
And everything that goes with them.

Included are plenty of algorithm designs and code implementations to show you how it all works.

Are you studying data science and want to take your learning further ? Data structures are an integral part of data science, machine learning, and algorithms, all aimed at solving programming challenges that might seem insurmountable at the outset. Advanced Data Structures for Algorithms builds on your current knowledge, taking your learning much deeper and teaching you how to solve even the trickiest of challenges.

This book has been divided into four parts:
Part One covers advanced lists, including:
ΓÇó An overview of linked lists
ΓÇó Doubly linked lists
ΓÇó XOR linked lists
ΓÇó Self-organizing lists
ΓÇó Unrolled linked lists
Part Two covers trees, including:
ΓÇó Segment trees
ΓÇó Trie trees
ΓÇó Fenwick trees
ΓÇó AVL trees
ΓÇó Red-black trees
ΓÇó Scapegoat trees
ΓÇó Treap
ΓÇó N-ary
Part Three discusses disjoint sets or Union-finds, as they are sometimes known
Part Four covers heaps and priority queues, including:
ΓÇó A brief discussion on binary heaps
ΓÇó Binomial heaps
and more !

You''ll find plenty of code examples to help you make sense of things and common-sense explanations.

If you want to advance your knowledge of data structures for algorithms you are in the right place.