Name: Intro Anal Algorithms (4th Ed) (en Inglés)
SKU: 66734863
Price: 156.99 USD
Availability: InStock
Author: Soltys Michael

portada Intro Anal Algorithms (4th Ed) (en Inglés)

Intro Anal Algorithms (4th Ed) (en Inglés)

Formato

Libro Físico

Editorial

World Scientific Publishing Company

Autor

Soltys Michael

Idioma

Inglés

N° páginas

416

Encuadernación

Tapa Dura

Dimensiones

22.9x15.2x2.4 cm

ISBN13

9789819823512

Intro Anal Algorithms (4th Ed) (en Inglés)

Soltys Michael (Autor) · World Scientific Publishing Company · Tapa Dura

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 313.97$ 156.99

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 156.99

Llega entre el 10 Sep y el 23 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Intro Anal Algorithms (4th Ed) (en Inglés)"

An Introduction to the Analysis of Algorithms is a comprehensive textbook that presents the fundamental methods for designing and analyzing computational algorithms through rigorous mathematical frameworks and practical implementation guidance. The book systematically explores major algorithmic paradigms including greedy algorithms, divide and conquer, dynamic programming, online algorithms, randomized algorithms, and parallel algorithms in linear algebra, providing detailed analysis of correctness and performance for each approach.The text emphasizes algorithm design techniques and formal analysis using pre/post-conditions and loop invariants, while covering essential computational foundations including automata theory, regular expressions, and complexity analysis. A new chapter on machine learning introduces students to this rapidly growing field, covering both supervised learning methods like regression and classification, and unsupervised techniques such as clustering, providing a bridge between traditional algorithmic thinking and modern data-driven approaches. The book also addresses practical considerations such as algorithm implementation, optimization techniques, and real-world applications across various domains.Intended for undergraduate and graduate students in computer science and mathematics, the self-contained presentation includes all necessary background material, worked examples, and extensive problem sets, making it suitable as both a classroom textbook and a comprehensive reference for anyone seeking to master algorithmic problem-solving and analysis.