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Guide To Competitive Programming

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Guide To Competitive Programming

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Author : Antti Laaksonen
language : en
Publisher: Springer
Release Date : 2018-01-02

Guide To Competitive Programming written by Antti Laaksonen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-02 with Computers categories.

This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.

Guide To Competitive Programming

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Author : Antti Laaksonen
language : en
Publisher: Springer
Release Date : 2018-01-22

Guide To Competitive Programming

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Author : Antti Laaksonen
language : en
Publisher: Springer Nature
Release Date : 2020-05-08

Guide To Competitive Programming written by Antti Laaksonen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-08 with Computers categories.

Building on what already is the most comprehensive introduction to competitive programming, this enhanced new textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems. Critically, the text accessibly describes and shows how competitive programming is a proven method of implementing and testing algorithms, as well as developing computational thinking and improving both programming and debugging skills. Topics and features: introduces dynamic programming and other fundamental algorithm design techniques, and investigates a wide selection of graph algorithms; compatible with the IOI Syllabus, yet also covering more advanced topics, such as maximum flows, Nim theory, and suffix structures; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; describes a selection of more advanced topics, including square-root algorithms and dynamic programming optimization. Fully updated, expanded and easy to follow, this core textbook/guide is an ideal reference for all students needing to learn algorithms and to practice for programming contests. Knowledge of programming basics is assumed, but previous background in algorithm design or programming contests is not necessary. With its breadth of topics, examples and references, the book is eminently suitable for both beginners and more experienced readers alike.

Competitive Programming In Python

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Author : Christoph Dürr
language : en
Publisher: Cambridge University Press
Release Date : 2020-12-17

Competitive Programming In Python written by Christoph Dürr and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Computers categories.

All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.

Programming Challenges

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Author : Steven S Skiena
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18

Programming Challenges written by Steven S Skiena and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Computers categories.

There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available.

Competitive Programming 2

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Author : Steven Halim
language : en
Publisher:
Release Date : 2011

Competitive Programming 2 written by Steven Halim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.

A Complete Guide To Competitive Programming Part 1

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Author : Kanha GUPTA
language : en
Publisher:
Release Date : 2021-11-07

A Complete Guide To Competitive Programming Part 1 written by Kanha GUPTA and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-07 with categories.

Presenting " A COMPLETE GUIDE TO COMPETITIVE PROGRAMMING (PART 1) - Coding Problems? No Problem! ". This book will take your programming knowledge to the master level. I guarantee that you will like and appreciate this book. CONTENTS :- 1. Introduction With Quick References Introduction Of Competitive Programming Vector Set Unordered Set Map Unordered Map 2. Recursion What is Recursion? How Does Recursion Works? Example Code 1 (Factorial) Example Code 2 (Fibonacci) 3. Searching And Sorting Applications Explanation Of Aggressive Cows Problem With Proper Code Explanation Of Inversion Count Problem With Proper Code 4. Advanced Recursion Recursion On Strings Finding Length Of A String Remove X From A Given String Merge Sort Quick Sort Strings Return Subsequences Of A String Print Subsequences In A Different Way 5. Backtracking Introduction Why Backtracking? The Knight''s Tour Problem N - Queen Problem Rat In A Maze Problem 6. Modulo Arithmetic Introduction Properties Of Modulo Arithmetic Number Of Balanced Binary Trees (BTs) Problem 7. Ad Hoc Problems Introduction Problem 1:- Equalize Problem 2:- Rectangular Area 8. Dynamic Programming Introduction Memoization Alphacode Problem Longest Increasing Subsequence Problem Staircase Problem Coin Change Problem Minimum Cost Problem Longest Common Subsequence Problem Knapsack Problem Subset Sum Problem Maximum Sum Rectangle Problem 9. Bit Manipulation Introduction Shift Operators:- Left Shift, Right Shift Some Other Bitwise Operators:- AND(&), OR(), NOT(~), XOR(^) Check ith Bit Flip ith Bit Check N: Odd Or Even Check N: Whether It Is Power Of 2 Or Not Remove All Set Bits From LSB To i 10. DP And Bitmasking Introduction DP With Bitmasking And Minimum Cost For Jobs Problem Dilemma Problem 11. Number Theory Introduction Find Prime Numbers From 1 To N Sieve Of Eratosthenes Algorithm Greatest Common Divisor (GCD) Euclid''s Algorithm Diophantine Equations Extended Euclid''s Algorithm Multiplicative Modulo Inverse Sachin And Varun Problem Advanced GCD Problem Divisors Of A Factorial Problem Euler''s Totient Function Sum Of LCM Problem Segmented Sieve Optimized Power Function Modular Exponentiation Matrix Exponentiation Some Examples Of Recurrence Relations FiboSum Problem Fermat''s Little Theorem Wilson''s Theorem Income On The Nth Day Problem 12. Greedy Problems Introduction Activity Selection Problem Minimum Absolute Difference In Array Problem Fractional Knapsack Problem - Blank Pages To Make Notes - Thank You Note ABOUT THE AUTHOR KANHA GUPTA is a professional Indian programmer, writer, website, and graphic designer. He''s a great coder. He''s a GOOGLE Certified Digital Marketer. He''s extremely fond of anything related to programming, writing, digital design, and all the yumminess attached to it. He''s been freelancing for many years and focuses on programming & web design for small businesses and online publishers. He always aims to reach his creative goals one step at a time and believes in doing everything with a smile.

Learn To Code By Solving Problems

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Author : Daniel Zingaro
language : en
Publisher: No Starch Press
Release Date : 2021-06-29

Learn To Code By Solving Problems written by Daniel Zingaro and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.

Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.

Dynamic Programming For Coding Interviews

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Author : Meenakshi
language : en
Publisher: Notion Press
Release Date : 2017-01-18

Dynamic Programming For Coding Interviews written by Meenakshi and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Computers categories.

I wanted to compute 80th term of the Fibonacci series. I wrote the rampant recursive function, int fib(int n){ return (1==n || 2==n) ? 1 : fib(n-1) + fib(n-2); } and waited for the result. I wait… and wait… and wait… With an 8GB RAM and an Intel i5 CPU, why is it taking so long? I terminated the process and tried computing the 40th term. It took about a second. I put a check and was shocked to find that the above recursive function was called 204,668,309 times while computing the 40th term. More than 200 million times? Is it reporting function calls or scam of some government? The Dynamic Programming solution computes 100th Fibonacci term in less than fraction of a second, with a single function call, taking linear time and constant extra memory. A recursive solution, usually, neither pass all test cases in a coding competition, nor does it impress the interviewer in an interview of company like Google, Microsoft, etc. The most difficult questions asked in competitions and interviews, are from dynamic programming. This book takes Dynamic Programming head-on. It first explain the concepts with simple examples and then deep dives into complex DP problems.

Programming Interviews Exposed

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Author : John Mongan
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-10

Programming Interviews Exposed written by John Mongan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-10 with Computers categories.

The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

Guide To Competitive Programming

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