Includes hints of solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book.
Algorithms Illuminated: Graph algorithms and data structures. Part 2
Accessible, no-nonsense, and programming language-agnostic introduction to algorithms.
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
Kushner, H. J. (1987), “Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo,” SIAM Journal on Applied Mathematics, vol. 47, pp. 169-185.
(Cited on pages xi, 69, and 83.) Hartline, J. D. and Kleinberg, R. D. (2012). Badminton and the science of rule making. The Huffington Post. (Cited on page 9.) Hartline, J. D. and Roughgarden, T. (2009). Simple versus optimal mechanisms ...
He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works.
Within six weeks of beginning to program, Maurice Wilkes made one of the most farreaching discoveries of the computer age: to get programs right is more difficult than it Martin Campbell-Kelly, "Historical Reflections," Communications ...
This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking. The first part of this book is a tutorial on algorithm design strategies and analysis techniques.
Provides a study of the fundamental theoretical ideas of computing and examining how to design accurate and efficient algorithms.
Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code.