Classic Computer Science Problems in Java PDF Download

Author: David Kopec
Publisher: Simon and Schuster
ISBN: 1638356548
Category : Computers
Languages : en
Pages : 262

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Book Description
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz

Author: Eric Lehman
Publisher:
ISBN: 9789888407064
Category : Business & Economics
Languages : en
Pages : 988

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Book Description
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

Author:
Publisher: Allied Publishers
ISBN:
Category :
Languages : en
Pages : 328

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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1006

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Author: Russ White
Publisher: Addison-Wesley Professional
ISBN: 0134762851
Category : Computers
Languages : en
Pages : 1107

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Book Description
Master Modern Networking by Understanding and Solving Real Problems Computer Networking Problems and Solutions offers a new approach to understanding networking that not only illuminates current systems but prepares readers for whatever comes next. Its problem-solving approach reveals why modern computer networks and protocols are designed as they are, by explaining the problems any protocol or system must overcome, considering common solutions, and showing how those solutions have been implemented in new and mature protocols. Part I considers data transport (the data plane). Part II covers protocols used to discover and use topology and reachability information (the control plane). Part III considers several common network designs and architectures, including data center fabrics, MPLS cores, and modern Software-Defined Wide Area Networks (SD-WAN). Principles that underlie technologies such as Software Defined Networks (SDNs) are considered throughout, as solutions to problems faced by all networking technologies. This guide is ideal for beginning network engineers, students of computer networking, and experienced engineers seeking a deeper understanding of the technologies they use every day. Whatever your background, this book will help you quickly recognize problems and solutions that constantly recur, and apply this knowledge to new technologies and environments. Coverage Includes · Data and networking transport · Lower- and higher-level transports and interlayer discovery · Packet switching · Quality of Service (QoS) · Virtualized networks and services · Network topology discovery · Unicast loop free routing · Reacting to topology changes · Distance vector control planes, link state, and path vector control · Control plane policies and centralization · Failure domains · Securing networks and transport · Network design patterns · Redundancy and resiliency · Troubleshooting · Network disaggregation · Automating network management · Cloud computing · Networking the Internet of Things (IoT) · Emerging trends and technologies

Author: John MacCormick
Publisher: Princeton University Press
ISBN: 0691170665
Category : Computers
Languages : en
Pages : 404

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Book Description
An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 124

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Book Description
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.

Author: James N. Jensen
Publisher: John Wiley & Sons
ISBN: 1119884349
Category : Technology & Engineering
Languages : en
Pages : 708

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Book Description
A Problem-Solving Approach to Aquatic Chemistry Enables civil and environmental engineers to understand the theory and application of aquatic equilibrium chemistry The second edition of A Problem-Solving Approach to Aquatic Chemistry provides a detailed introduction to aquatic equilibrium chemistry, calculation methods for systems at equilibrium, applications of aquatic chemistry, and chemical kinetics. The text directly addresses two required ABET program outcomes in environmental engineering: “… chemistry (including stoichiometry, equilibrium, and kinetics)” and “material and energy balances, fate and transport of substances in and between air, water, and soil phases.” The book is very student-centered, with each chapter beginning with an introduction and ending with a summary that reviews the chapter’s main points. To aid in reader comprehension, important terms are defined in context and key ideas are summarized. Many thought-provoking discussion questions, worked examples, and end of chapter problems are also included. Each part of the text begins with a case study, a portion of which is addressed in each subsequent chapter, illustrating the principles of that chapter. In addition, each chapter has an Historical Note exploring connections with the people and cultures connected to topics in the text. A Problem-Solving Approach to Aquatic Chemistry includes: Fundamental concepts, such as concentration units, thermodynamic basis of equilibrium, and manipulating equilibria Solutions of chemical equilibrium problems, including setting up the problems and algebraic, graphical, and computer solution techniques Acid–base equilibria, including the concepts of acids and bases, titrations, and alkalinity and acidity Complexation, including metals, ligands, equilibrium calculations with complexes, and applications of complexation chemistry Oxidation-reduction equilibria, including equilibrium calculations, graphical approaches, and applications Gas–liquid and solid–liquid equilibrium, with expanded coverage of the effects of global climate change Other topics, including chemical kinetics of aquatic systems, surface chemistry, and integrative case studies For advanced/senior undergraduates and first-year graduate students in environmental engineering courses, A Problem-Solving Approach to Aquatic Chemistry serves as an invaluable learning resource on the topic, with a variety of helpful learning elements included throughout to ensure information retention and the ability to apply covered concepts in practical settings.

Author: Roland Mittermeir
Publisher: Springer Science & Business Media
ISBN: 3540699236
Category : Computers
Languages : en
Pages : 372

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Book Description
This book constitutes the refereed proceedings of the Third International Conference on Informatics in Secondary Schools - Evolution and Perspectives, ISSEP 2008, held in Torun, Poland in July 2008. The 28 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 63 submissions. A broad variety of topics related to teaching informatics in secondary schools is addressed ranging from national experience reports to paedagogical and methodological issues. The papers are organized in topical sections on informatics, a challenging topic, didactical merits of robot-based instruction, transfer of knowledge and concept formation, working with objects and programming, strategies for writing textbooks and teacher education, national and international perspectives on ICT education, as well as e-learning.

Author: Steven Van Wyk
Publisher: World Scientific
ISBN: 9812709363
Category : Computers
Languages : en
Pages : 291

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Book Description
With the great progress in numerical methods and the speed of the modern personal computer, if you can formulate the correct physics equations, then you only need to program a few lines of code to get the answer. Where other books on computational physics dwell on the theory of problems, this book takes a detailed look at how to set up the equations and actually solve them on a PC.Focusing on popular software package Mathematica, the book offers undergraduate student a comprehensive treatment of the methodology used in programing solutions to equations in physics.