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The Narcolepsy Diet Ebook

Diet can drastically affect the symptoms of the sleeping disorder. The Narcolepsy Diet Ebook educates you on nutrition, intermittent fasting, and diets that can help alleviate your symptoms.

Mathematical Cryptology

These lecture notes were translated from the Finnish lecture notes for the TUT course ‘Matemaattinen kryptologia’. The laborious bulk translation was taken care of by the students Jussi Kangas (visiting from the University of Tampere) and Paul Coughlan (visiting from the University of Dublin, Trinity College).

The Design of Approximation Algorithms

This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers who are interested in the heuristic solution of discrete optimization problems.

Logic, Programming and Prolog: 2nd Edition

The main objective of this textbook is to provide a uniform account of both the foundations of logic programming and simple programming techniques in the programming language Prolog. The discussion of the foundations also facilitates a systematic survey of variants of the logic programming scheme, like constraint logic programming, deductive databases or concurrent logic programming.

Introduction to Information Retrieval

The book aims to provide a modern approach to information retrieval from a computer science perspective. It is based on a course Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze have been teaching in various forms at Stanford University, the University of Stuttgart and the University of Munich.

Practical Common Lisp

Practical Common Lisp serves as a useful introduction to Common Lisp for folks who are curious about Lisp but maybe not yet curious enough to shell out big bucks for a dead-tree book and a good Common Lisp tutorial for folks who want to get down to real coding right away.

Algorithms 4th Edition

Algorithms, 4th Edition surveys the most important algorithms and data structures in use today. We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry.

Bayesian Reasoning and Machine Learning

The book is designed to appeal to students with only a modest mathematical background in undergraduate calculus and linear algebra. No formal computer science or statistical background is required to follow the book, although a basic familiarity with probability, calculus and linear algebra would be useful.

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