R Data Structures and Algorithms

More Information
Learn
  • Understand the rationality behind data structures and algorithms
  • Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis
  • Get to know the fundamentals of arrays and linked-based data structures
  • Analyze types of sorting algorithms
  • Search algorithms along with hashing
  • Understand linear and tree-based indexing
  • Be able to implement a graph including topological sort, shortest path problem, and prim’s algorithm
  • Understand dynamic programming (Knapsack) and randomized algorithms
About

In this book, we cover not only classical data structures, but also functional data structures.

We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth.

Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors.

With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.

Features
  • See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples
  • Find out about important and advanced data structures such as searching and sorting algorithms
  • Understand important concepts such as big-o notation, dynamic programming, and functional data structured
Page Count 276
Course Length 8 hours 16 minutes
ISBN 9781786465153
Date Of Publication 21 Nov 2016

Authors

Achyutuni Sri Krishna Rao

Achyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates.

Sri Krishna’s background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelor’s from National Institute of Technology Warangal, India.

Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled “Algorithms and Data Structures using R” published by PACKT.

Dr. PKS Prakash

Dr. PKS Prakash is a data scientist and author.

He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.