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How far will electronic surveillance and personal data mining go? What will it mean to be human in a world of manipulated reality? See for yourself.... Year 2210: Herb, an arrogant rich kid, returns to the isolated planet on which he has illegally been trying to build a city-and finds it destroyed by a swarming nightmare of self-replicating machinery. Worse, the all-seeing Environment Agency has been watching him all along. His punishment? He's sent to fight a nearly hopeless battle in the farthest reaches of the universe against enemy machines that are faster and more deadly than his own-in the company of a disarmingly confident AI who may not be exactly what he claims. Year 2051: Eva Rye desperately wants to die-the only way she can escape the nannies of the Social Care system. But when her well-planned suicide is thwarted, she winds up in an institution where she meets three people convinced that an evolving intelligence is behind the all-pervasive monitoring systems-a Watcher who has a special interest in Eva. Year 2119: Strange things are going on in Constantine's augmented head. Sometimes extra intelligences crowd his mind. Sometimes he sees gaps in the sky. But he can let nothing get in the way of his work, helping to build a cutting-edge Von Neumann machine-not even the realization that his life is nothing but a simulation of the real Constantine, created by a rival company to steal the VNM's secrets. All three stories converge to reveal the history of a nearly omnipotent AI, which has been molding human destiny for centuries. But is it humanity's loving parent...or its jealous god?

This book is devoted to recursion in programming, the technique by which the solution to a problem is expressed partly in terms of the solution to a simpler version of the same problem. Ultimately the solution to the simplest version must be given explicitly. In functional programming, recursion has received its full due since it is quite often the only repetitive construct. However, the programming language used here is Pascal and the examples have been chosen accordingly. It makes an interesting contrast with the use of recursion in functional and logic programming. The early chapters consider simple linear recursion using examples such as finding the highest common factor of a pair of numbers, and processing linked lists. Subsequent chapters move up through binary recursion, with examples which include the Towers of Hanoi problem and symbolic differentiation, to general recursion. The book contains well over 100 examples.

This book is devoted to recursion in programming, the technique by which the solution to a problem is expressed partly in terms of the solution to a simpler version of the same problem. Ultimately the solution to the simplest version must be given explicitly. In functional programming, recursion has received its full due since it is quite often the only repetitive construct. However, the programming language used here is Pascal and the examples have been chosen accordingly. It makes an interesting contrast with the use of recursion in functional and logic programming. The early chapters consider simple linear recursion using examples such as finding the highest common factor of a pair of numbers, and processing linked lists. Subsequent chapters move up through binary recursion, with examples which include the Towers of Hanoi problem and symbolic differentiation, to general recursion. The book contains well over 100 examples.

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Most Software Engineers would remember their introduction to Recursion. The first impression is usually disorienting. Problems get solved without actually being solved. This happens while learning Quicksort and then Mergesort. These are based on Recursion and the other implementation is by using stacks which requires still more programming.The real encounter comes when you try solving problems like the Towers of Hanoi, Eight Queens Problem etc. The problems get solved perfectly even if it doesn't actually feel like you're solving it. Exciting, sinister, like it or love it but Recursion is the only way of solving those problems. Even if we were to use a stack, we would first design a Recursive solution and then remove the Recursion mechanically. Not necessary, because the compiler does the same.Recursion finds application in advanced fields of Computer Programming. 1. Look ahead in strategy games like Chess is implemented via Recursion.2. Regular Expressions, where you search text based on patterns is always implemented by Recursion.3. Many optimization and combinatorial problems like Dynamic Programming, Eight Queens Problem, solving a maze etc require Recursive formulations.In short, a deep understanding of Recursion helps in a Software Development Career.This book takes you deep into Recursion. We solve the basic problems of Data Structures recursively. This book doesn't use a single iterative loop, and we solve every type of problem. Take a look at the table of contents.DEFINING RECURSIONTHE INTEGER AS A RECURSIVE DATA STRUCTURESSUMMATION OF SERIES.PERMUTATIONS & COMBINATIONS.THE ARRAY AS A RECURSIVE DATA STRUCTURETHE LINKED LIST AS A RECURSIVE DATA STRUCTUREBINARY TREES AS RECURSIVE DATA STRUCTURESRECURSION AND FILESSOME INTERESTING PROBLEMS USING RECURSIONSUMMING UPWriting this book has been an engrossing task. Selecting problems, designing solutions , programming and testing has been particularly stimulating. Should have the same effects on the readers.

This work is a sequel to the author's Gödel's Incompleteness Theorems, though it can be read independently by anyone familiar with Gödel's incompleteness theorem for Peano arithmetic. The book deals mainly with those aspects of recursion theory that have applications to the metamathematics of incompleteness, undecidability, and related topics. It is both an introduction to the theory and a presentation of new results in the field.

This work is a sequel to the author's Gödel's Incompleteness Theorems, though it can be read independently by anyone familiar with Gödel's incompleteness theorem for Peano arithmetic. The book deals mainly with those aspects of recursion theory that have applications to the metamathematics of incompleteness, undecidability, and related topics. It is both an introduction to the theory and a presentation of new results in the field.

This monograph presents recursion theory from a generalized point of view centered on the computational aspects of definability. A major theme is the study of the structures of degrees arising from two key notions of reducibility, the Turing degrees and the hyperdegrees, using techniques and ideas from recursion theory, hyperarithmetic theory, and descriptive set theory.The emphasis is on the interplay between recursion theory and set theory, anchored on the notion of definability. The monograph covers a number of fundamental results in hyperarithmetic theory as well as some recent results on the structure theory of Turing and hyperdegrees. It also features a chapter on the applications of these investigations to higher randomness.

"That's what NYC cop Barry Sutton is learning, as he investigates the devastating phenomenon the media has dubbed False Memory Syndrome--a mysterious affliction that drives its victims mad with memories of a life they never lived. That's what neuroscientist Helena Smith believes. It's why she's dedicated her life to creating a technology that will let us preserve our most precious memories. If she succeeds, anyone will be able to re-experience a first kiss, the birth of a child, the final moment with a dying parent. As Barry searches for the truth, he comes face to face with an opponent more terrifying than any disease--a force that attacks not just our minds, but the very fabric of the past. And as its effects begin to unmake the world as we know it, only he and Helena, working together, will stand a chance at defeating it. But how can they make a stand when reality itself is shifting and crumbling all around them?"--

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Logic, set theory, and mathematical induction play essential roles in modern mathematics and computer science. This book is intended to fill the gap between rigorous, advanced mathematical logic texts and "discrete mathematics" texts that do not treat logic with the depth and rigor required in modern computer science. It will prepare students for advanced courses in mathematics, computer science, logic and its applications.

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Logic, set theory, and mathematical induction play essential roles in modern mathematics and computer science. This book is intended to fill the gap between rigorous, advanced mathematical logic texts and "discrete mathematics" texts that do not treat logic with the depth and rigor required in modern computer science. It will prepare students for advanced courses in mathematics, computer science, logic and its applications.

Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic ProgrammingAlgorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's InsideEnumeration of possible solutions for the problems.Performance trade-offs (time and space complexities) between the algorithms.Covers interview questions on data structures and algorithms.All the concepts are discussed in a lucid, easy to understand manner.Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews.Python-based code samples were given the book.

American folk music has long presented a problematic conception of authenticity, but the reality of the folk scene, and its relationship to media, is far more complicated. This book draws on the fields of media archaeology, performance studies, and sound studies to explore the various modes of communication that can be uncovered from the long American folk revival. From Alan Lomax's cybernetic visions to Bob Dylan's noisy writing machines, this book retrieves a subterranean discourse on the concept of media that might help us to reimagine the potential of the networks in which we work, play, and sing.

Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic ProgrammingAlgorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's InsideEnumeration of possible solutions for the problems.Performance trade-offs (time and space complexities) between the algorithms.Covers interview questions on data structures and algorithms.All the concepts are discussed in a lucid, easy to understand manner.Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews.Python-based code samples were given the book.

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand objects, methods, and object-oriented programmingUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design, data structures, and GUI-based programs through case studies

Updated and revised to include the use of Java for programming examples, this book provides readers with a thorough and clear introduction to the difficult concept of recursion Uses a broad range of examples to illustrate the principles used in recursion and how to apply them to programming Features imaginative examples along with various exercises and their solutions

The Third Edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and Mirrors (recursion) to teach Java programming design solutions, in a way that beginning students find accessible. The book has a student-friendly pedagogical approach that carefully accounts for the strengths and weaknesses of the Java language. With this book, students will gain a solid foundation in data abstraction, object-oriented programming, and other problem-solving techniques.