Guide To Competitive Programming

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Guide to Competitive Programming

Author : Antti Laaksonen
Publisher : Springer
Page : 283 pages
File Size : 55,8 Mb
Release : 2018-01-02
Category : Computers
ISBN : 9783319725475

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Guide to Competitive Programming by Antti Laaksonen Pdf

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.

Competitive Programming in Python

Author : Christoph Dürr,Jill-Jênn Vie
Publisher : Cambridge University Press
Page : 265 pages
File Size : 53,6 Mb
Release : 2020-12-17
Category : Computers
ISBN : 9781108716826

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Competitive Programming in Python by Christoph Dürr,Jill-Jênn Vie Pdf

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

Programming Challenges

Author : Steven S Skiena,Miguel A. Revilla
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 50,6 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9780387220819

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Programming Challenges by Steven S Skiena,Miguel A. Revilla Pdf

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.

Guide to Programming and Algorithms Using R

Author : Özgür Ergül
Publisher : Springer Science & Business Media
Page : 185 pages
File Size : 50,6 Mb
Release : 2013-07-23
Category : Computers
ISBN : 9781447153283

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Guide to Programming and Algorithms Using R by Özgür Ergül Pdf

This easy-to-follow textbook provides a student-friendly introduction to programming and algorithms. Emphasis is placed on the threshold concepts that present barriers to learning, including the questions that students are often too embarrassed to ask. The book promotes an active learning style in which a deeper understanding is gained from evaluating, questioning, and discussing the material, and practised in hands-on exercises. Although R is used as the language of choice for all programs, strict assumptions are avoided in the explanations in order for these to remain applicable to other programming languages. Features: provides exercises at the end of each chapter; includes three mini projects in the final chapter; presents a list of titles for further reading at the end of the book; discusses the key aspects of loops, recursions, program and algorithm efficiency and accuracy, sorting, linear systems of equations, and file processing; requires no prior background knowledge in this area.

Guide to Competitive Programming

Author : Antti Laaksonen
Publisher : Springer Nature
Page : 316 pages
File Size : 50,6 Mb
Release : 2020-05-08
Category : Computers
ISBN : 9783030393571

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Guide to Competitive Programming by Antti Laaksonen Pdf

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.

Dynamic Programming for Coding Interviews

Author : Meenakshi,Kamal Rawat
Publisher : Notion Press
Page : 145 pages
File Size : 51,8 Mb
Release : 2017-01-18
Category : Computers
ISBN : 9781946556707

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Dynamic Programming for Coding Interviews by Meenakshi,Kamal Rawat Pdf

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.

Algorithmic Thinking

Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 41,5 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781718500815

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Algorithmic Thinking by Daniel Zingaro Pdf

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?

A Concise and Practical Introduction to Programming Algorithms in Java

Author : Frank Nielsen
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 41,6 Mb
Release : 2009-04-05
Category : Computers
ISBN : 9781848823396

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A Concise and Practical Introduction to Programming Algorithms in Java by Frank Nielsen Pdf

A Concise and Practical Introduction to Programming Algorithms in Java has two main goals. The first is for novice programmers to learn progressively the basic concepts underlying most imperative programming languages using Java. The second goal is to introduce new programmers to the very basic principles of thinking the algorithmic way and turning the algorithms into programs using the programming concepts of Java. The book is divided into two parts and includes: The fundamental notions of variables, expressions and assignments with type checking - Conditional and loop statements - Explanation of the concepts of functions with pass-by-value arguments and recursion - Fundamental sequential and bisection search techniques - Basic iterative and recursive sorting algorithms. Each chapter of the book concludes with a set of exercises to enable students to practice concepts covered.

Guide to Scientific Computing in C++

Author : Joe Pitt-Francis,Jonathan Whiteley
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 43,5 Mb
Release : 2012-02-15
Category : Computers
ISBN : 9781447127369

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Guide to Scientific Computing in C++ by Joe Pitt-Francis,Jonathan Whiteley Pdf

This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
Page : 714 pages
File Size : 43,9 Mb
Release : 2020-08-10
Category : Computers
ISBN : 9781680508055

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A Common-Sense Guide to Data Structures and Algorithms, Second Edition by Jay Wengrow Pdf

Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Competitive Programming 4

Author : Steven Halim
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2020
Category : Electronic
ISBN : OCLC:1354309854

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Competitive Programming 4 by Steven Halim Pdf

OpenCL Programming Guide

Author : Aaftab Munshi,Benedict Gaster,Timothy G. Mattson,Dan Ginsburg
Publisher : Pearson Education
Page : 649 pages
File Size : 45,5 Mb
Release : 2011-07-07
Category : Computers
ISBN : 9780132594554

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OpenCL Programming Guide by Aaftab Munshi,Benedict Gaster,Timothy G. Mattson,Dan Ginsburg Pdf

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects. Written by five leading OpenCL authorities, OpenCL Programming Guide covers the entire specification. It reviews key use cases, shows how OpenCL can express a wide range of parallel algorithms, and offers complete reference material on both the API and OpenCL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of OpenCL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding OpenCL’s architecture, concepts, terminology, goals, and rationale Programming with OpenCL C and the runtime API Using buffers, sub-buffers, images, samplers, and events Sharing and synchronizing data with OpenGL and Microsoft’s Direct3D Simplifying development with the C++ Wrapper API Using OpenCL Embedded Profiles to support devices ranging from cellphones to supercomputer nodes Case studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more Source code for this book is available at https://code.google.com/p/opencl-book-samples/

Programming Pearls

Author : Jon Bentley
Publisher : Addison-Wesley Professional
Page : 262 pages
File Size : 55,7 Mb
Release : 2016-04-21
Category : Computers
ISBN : 9780134498034

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Programming Pearls by Jon Bentley Pdf

When programmers list their favorite books, Jon Bentley’s collection of programming pearls is commonly included among the classics. Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. With origins beyond solid engineering, in the realm of insight and creativity, Bentley’s pearls offer unique and clever solutions to those nagging problems. Illustrated by programs designed as much for fun as for instruction, the book is filled with lucid and witty descriptions of practical programming techniques and fundamental design principles. It is not at all surprising that Programming Pearls has been so highly valued by programmers at every level of experience. In this revision, the first in 14 years, Bentley has substantially updated his essays to reflect current programming methods and environments. In addition, there are three new essays on testing, debugging, and timing set representations string problems All the original programs have been rewritten, and an equal amount of new code has been generated. Implementations of all the programs, in C or C++, are now available on the Web. What remains the same in this new edition is Bentley’s focus on the hard core of programming problems and his delivery of workable solutions to those problems. Whether you are new to Bentley’s classic or are revisiting his work for some fresh insight, the book is sure to make your own list of favorites.

Programming Persistent Memory

Author : Steve Scargall
Publisher : Apress
Page : 384 pages
File Size : 51,9 Mb
Release : 2020-01-09
Category : Computers
ISBN : 9781484249321

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Programming Persistent Memory by Steve Scargall Pdf

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

A Complete Guide to Competitive Programming (part 1)

Author : Kanha GUPTA
Publisher : Unknown
Page : 302 pages
File Size : 52,9 Mb
Release : 2021-11-07
Category : Electronic
ISBN : 9798761577206

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A Complete Guide to Competitive Programming (part 1) by Kanha GUPTA Pdf

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.