內容簡介:《Foundations of Algorithms》第五版均衡地解說了演算法的設計與複雜度分析，並使用較簡單的符號系統，清晰地解釋了用到的數學概念，特別適合修過代數和離散結構的資訊科系學生。本書以C ++和Java虛擬碼，幫助學生理解複雜的算法。並在數值算法的章節中，介紹了基本數論、尋找最大公約數的歐幾里德算法、模塊算法、解模線性方程的算法、用於計算模冪的算法、以及檢驗質數之新的多項式
"A thorough introduction to artificial intelligence (AI), this text provides a comprehensive and in-depth overview of the key concepts and techniques in AI. It also discusses the various areas and suc
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possi
This algorithms text from Neapolitan focuses on algorithms design and complexity analysis, assumes a background of college algebra and data structures but no calculus, and is suggested for a one-semes
The purpose of the book is to provide Professional Development School (PDS) workers with a framework for conducting research in a PDS. The book examines the history of these schools as a phenomenon, a
Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for b
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update retains the sam
Neapolitan (education, Towson U.) and Berkeley (early childhood, Towson U.) compile 13 essays on the status of Professional Development School (PDS) partnerships, progress that has been made, and how
