Design and Analysis of Algorithms: A Contemporary Perspective by Sandeep Sen explores fundamental techniques for designing efficient algorithms, including greedy algorithms, dynamic programming, and the divide-and-conquer approach. The book delves into applications addressing contemporary issues, such as the Fast Fourier transform, the KMP algorithm for string matching, the CYK algorithm for context-free parsing, and gradient descent methods for minimizing convex functions. It emphasizes the importance of computational models in shaping algorithm design, providing insights into techniques relevant to parallel, streaming, and memory hierarchy models. Additionally, the text highlights the significance of randomization in algorithm development, showcasing its use across a wide array of applications from advanced data structures like skip-lists to dimensionality reduction strategies.