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How To Solve It By Computer Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of How To Solve It By Computer book. This book definitely worth reading, it is an incredibly well-written.
Author : Dromey
Publisher : Pearson Education India
Page : 468 pages
File Size : 52,8 Mb
Release : 2008
Category : Computer programmes
ISBN : 8131705625
Author : R. G. Dromey
Publisher : Prentice Hall
Page : 470 pages
File Size : 50,7 Mb
Release : 1982
Category : Business & Economics
ISBN : STANFORD:36105032707106
Author : V Krishnamurthy,C R Pranesachar
Publisher : New Age International
Page : 708 pages
File Size : 48,6 Mb
Release : 2007
Category : Mathematics
ISBN : 8122409806
Challenge And Thrill Of Pre-College Mathematics Is An Unusual Enrichment Text For Mathematics Of Classes 9, 10, 11 And 12 For Use By Students And Teachers Who Are Not Content With The Average Level That Routine Text Dare Not Transcend In View Of Their Mass Clientele. It Covers Geometry, Algebra And Trigonometry Plus A Little Of Combinatorics. Number Theory And Probability. It Is Written Specifically For The Top Half Whose Ambition Is To Excel And Rise To The Peak Without Finding The Journey A Forced Uphill Task.The Undercurrent Of The Book Is To Motivate The Student To Enjoy The Pleasures Of A Mathematical Pursuit And Of Problem Solving. More Than 300 Worked Out Problems (Several Of Them From National And International Olympiads) Share With The Student The Strategy, The Excitement, Motivation, Modeling, Manipulation, Abstraction, Notation And Ingenuity That Together Make Mathematics. This Would Be The Starting Point For The Student, Of A Life-Long Friendship With A Sound Mathematical Way Of Thinking.There Are Two Reasons Why The Book Should Be In The Hands Of Every School Or College Student, (Whether He Belongs To A Mathematics Stream Or Not) One, If He Likes Mathematics And, Two, If He Does Not Like Mathematics- The Former, So That The Cramped Robot-Type Treatment In The Classroom Does Not Make Him Into The Latter; And The Latter So That By The Time He Is Halfway Through The Book, He Will Invite Himself Into The Former.
Author : George Pólya
Publisher : Princeton University Press
Page : 288 pages
File Size : 54,5 Mb
Release : 2014
Category : Mathematics
ISBN : 9780691164076
"Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out--from building a bridge to winning a game of anagrams."--Back cover.
Author : George Polya,Jeremy Kilpatrick
Publisher : Courier Corporation
Page : 80 pages
File Size : 45,5 Mb
Release : 2013-04-09
Category : Mathematics
ISBN : 9780486318325
Based on Stanford University's well-known competitive exam, this excellent mathematics workbook offers students at both high school and college levels a complete set of problems, hints, and solutions. 1974 edition.
Author : Zbigniew Michalewicz,David B. Fogel
Publisher : Springer Science & Business Media
Page : 560 pages
File Size : 42,5 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662078075
No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.
Author : David Kopec
Publisher : Simon and Schuster
Page : 262 pages
File Size : 45,9 Mb
Release : 2020-12-21
Category : Computers
ISBN : 9781638356547
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,F. Thomson Leighton,Albert R. Meyer
Publisher : Unknown
Page : 988 pages
File Size : 44,9 Mb
Release : 2017-03-08
Category : Business & Economics
ISBN : 9888407066
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 : John MacCormick
Publisher : Princeton University Press
Page : 404 pages
File Size : 42,8 Mb
Release : 2018-05-01
Category : Computers
ISBN : 9780691170664
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 : Jeffrey Elkner,Allen B. Downey,Chris Meyers
Publisher : Samurai Media Limited
Page : 306 pages
File Size : 54,7 Mb
Release : 2016-10-04
Category : Computers
ISBN : 9888406787
The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
Author : V. Anton Spraul
Publisher : No Starch Press
Page : 260 pages
File Size : 47,6 Mb
Release : 2012-08-12
Category : Computers
ISBN : 9781593274566
The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.
Author : Anil Rao
Publisher : Cambridge University Press
Page : 534 pages
File Size : 54,7 Mb
Release : 2006
Category : Science
ISBN : 0521858119
This 2006 work is intended for students who want a rigorous, systematic, introduction to engineering dynamics.
Author : Wendell Berry
Publisher : Catapult
Page : 80 pages
File Size : 46,9 Mb
Release : 2021-02-09
Category : Social Science
ISBN : 9781640094581
A brief meditation on the role of technology in his own life and how it has changed the landscape of the United States from "America's greatest philosopher on sustainable life and living" (Chicago Tribune). "A number of people, by now, have told me that I could greatly improve things by buying a computer. My answer is that I am not going to do it. I have several reasons, and they are good ones." Wendell Berry first challenged the idea that our advanced technological age is a good thing when he penned "Why I Am Not Going to Buy a Computer" in the late 1980s for Harper's Magazine, galvanizing a critical reaction eclipsing any the magazine had seen before. He followed by responding with "Feminism, the Body, and the Machine." Both essays are collected in one short volume for the first time.
Author : Teodor Rus
Publisher : World Scientific
Page : 368 pages
File Size : 55,5 Mb
Release : 2015-03-19
Category : Computers
ISBN : 9789814663755
The author looks at the issues of how computing are used and taught, with a focus on embedding computers within problem solving process by making computer language part of natural language of the domain instead of embedding problem domain in the computer by programming. The book builds on previous editions of system software and software systems, concepts and methodology and develops a framework for software creation that supports domain-oriented problem solving process adapting Polya's four steps methodology for mathematical problem solving: Formalize the problem;Develop an algorithm to solve the problem;Perform the algorithm on the data characterizing the problem;Validate the solution. to the computer use for problem solving in any domain, including computer programming. Contents:Systems Methodology:Introduction to System SoftwareFormal SystemsAd Hoc SystemsCommon Systems in Software DevelopmentComputer Architecture and Functionality:Hardware SystemFunctional Behavior of Hardware ComponentsAlgorithmic Expression of a Hardware SystemUsing Computers to Solve ProblemsSoftware Tools Supporting Program Execution:Computer Process Manipulation by ProgramsMemory Management SystemI/O Device Management SystemComputation Activity and Its Management ToolsSoftware Tools Supporting Program Development:Problem Solving by Software ToolsWeb-Based Problem Solving ProcessSoftware Tool Development IllustrationSoftware Tools for Correct Program DevelopmentComputer Operation by Problem Solving Process:Using First Computers to Solve ProblemsBatch Operating SystemProblem of ProtectionTiming Program ExecutionEfficiency of Batch Operating SystemsConvenience of the BOSReal-Time Systems Readership: Student, general public and professional. Key Features:This is one of the few books in the market that promote programming as a problem solving process following Polya for mathematical problem solvingThis book consolidates the concepts of system methodology, computer architecture, system tools program execution into workflow of the four steps Polya problem solving processThis book insists to hold the hands of readers to walk through the internal working of a computer system from problem deposition to hardware state transitions, a view that has been lost in most computer science curricula currently taught in universities and collegesKeywords:Software Engineering;Programming Methodology;Computer Engineering
Author : Bob Wescott
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 41,7 Mb
Release : 2013-03-29
Category : Computer systems
ISBN : 1482657759
This is a short, occasionally funny, book on how to solve and avoid application and/or computer performance problems. I wrote it to give back the knowledge, insights, tips, and tricks I was given over the last 25 years of my computing career. It shows practical ways to use key performance laws and gives well tested advice on how (and when) to do performance monitoring, capacity planning, load testing, and performance modeling. It works for any application or collection of computers because it teaches you how to decipher whatever meters they give you and how to discover more about those meters than the documentation reveals. This book covers the things that will always be true no matter what technology you are using. It will continue to be useful 20 years from now when today's technology, if it runs at all, will look as quaint as a mechanical cuckoo clock. There is no complex math required; yet it allows you to easily use some fairly advanced techniques. Simple arithmetic, and a spreadsheet program, is all that is required of you. Lastly, it helps with the human side of performance. It shows you how to get the help you need and how to present your findings (good or bad) all the way up to the CIO level.