Building Java Programs: A Back to Basics Approach 4th Edition, ISBN-13: 978-0134322766 
Virtual Reality Designs 1st Edition Adriana Peña Pérez Negrón, ISBN-13: 978-0367894979 
Systems Analysis and Design 9th Edition Kenneth E. Kendall, ISBN-13: 978-0133023442 
Machine Learning: A Probabilistic Perspective Kevin P. Murphy, ISBN-13: 978-0262018029 
Principles of Anatomy and Physiology (15th Edition) – eBooks 
Data and Computer Communications 10th Edition William Stallings, ISBN-13: 978-0133506488 
Managing and Using Information Systems: A Strategic Approach 6th Edition Keri E. Pearlson, ISBN-13: 978-1119346760 
Bitcoin and Blockchain Security, ISBN-13: 978-1630810139 
The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition, ISBN-13: 978-0387848570 
Deep Learning with Python 2nd Edition François Chollet, ISBN-13: 978-1617296864 
Programming with Microsoft Visual Basic 2017 8th Edition, ISBN-13: 978-1337102124 
Java Concepts: Late Objects 3rd Edition Cay Horstmann, ISBN-13: 978-1119321026 
C Programming Language 2nd Edition by Brian W. Kernighan, ISBN-13: 978-0131103627 
Security in Fixed and Wireless Networks 2nd Edition, ISBN-13: 978-1119040743 
Description
Algorithms: Design and Analysis – eBook PDF
Algorithms play a key role both in the theory and in the practice of computing. The aim of the authors was to write a textbook that would not belittle the subject but would still be readable by most students on their own. Algorithms: Design and Analysis (PDF) includes over 120 exercises. Some of them are drills; others make important points about the material covered in the ebook or introduce new algorithms not covered there. The ebook also provides programming projects.
From the Table of Contents:
Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation, and Solution techniques, Function, and Growth of functions.
Chapter 2: Different Sorting Techniques and their analysis.
Chapter 3: Greedy approach, Dynamic Programming, Brach and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics.
Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms.
Chapter 5: Binary search tree, Red-black Tree, Binomial heap, B-Tree, and Fibonacci Heap.
Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
NOTE: The product only includes the ebook Algorithms: Design and Analysis in PDF. No access codes are included.
Olivia Bryant (verified owner) –
Great store, my eBook was delivered instantly.
James Carter (verified owner) –
Hassle-free purchase, eBook arrived right away.