Graph Algorithms For The Day Before Your Coding Interview
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Graph Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-06-07
Graph Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-07 with categories.
Graph Algorithms are fundamentally important and different than other Algorithmic domains as it gives an inherent structure to the data and we operate on it. This is one of the most important domains for Coding Interviews focused on problem solving.Following are some of the problems we have explored which involve ideas to solve a wider range of problems: - All paths between two verticesThis is a fundamental problem as modifications to it results in solving a wide range of problems. In the process of formulating a solution, we have explored core ideas like graph traversal techniques like Depth First Search and Graph representation like Adjacency List.- Mother VertexThis is an important problem as it highlights two key ideas of Graph problems that is connectivity and importance of specific vertices.We have solved this problem using two approaches where the efficient approach is a modification of Depth First Search and takes O(V^2) time complexity.- Paths with K edgesThis is an important problem as it demonstrates how we can utilize ideas from Dynamic Programming and Divide and Conquer to solve Graph Problems.We have demonstrated four approaches where the brute force approach takes O(2^V x V) time, improving it with a structure we get to O(V^K) time, further applying Dynamic Programming to it, we get to O(V^3 * K) time and finally, using Divide and Conquer to optimize calculation, we arrive at O(V^3 * logK) time.This is a perfect Graph Algorithm problem.We have covered more variants of the problems and ideas in our conclusion to give a bigger picture and better equip you to solve any problem.With these problems and the thought process to solve them, you will be fully prepared.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.Books in this series ("Day before coding Interview"): - Problems for the day before your coding interview- Greedy Algorithms for the day before your Coding Interview- Dynamic Programming for the day before your coding interview- String Algorithms for the day before your Coding Interview- Mathematical Algorithms for the day before your Coding Interview- Graph Algorithms for the day before your Coding Interview
Greedy Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-04-16
Greedy Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-16 with categories.
Greedy algorithms are fundamentally important as it encapsulate algorithmic problems where choosing the most obvious answer for the current sub-problem results in solving the entire problem.This seems to be easy and it is easy. The difficult part is to understand if a problem can be solved using a Greedy algorithm. There are numerous problems where a greedy algorithm may look to be the solution but is in fact, not the case.In this book, we have covered some greedy problems which you can cover in a day to get prepared just before your coding interview.We have covered problems like:* Finding largest number with given number of digits and sum (Important as it illustrates how an exponential search space can be traversed in linear time)* Number as a sum of Fibonacci terms (Requires deep insights from Number Theory to truly understand this problem which we explained)* Maximal clique (a perfect problem as it shows greedy algorithms can be effectively used in finding structures within graphs)* Task Selection (this problem is unique as slightly changing the problem statement, no greedy approach will be valid. In fact, this is a problem where Greedy Algorithm is preferred over a corresponding Dynamic Programming approach.)* Graph Coloring (This is a real-world problem and vast amount of research has been put into this. We presented a greedy solution to this along with the general idea of other approaches.)and many more ideas.We have added pseudocode for each approach which you should go through and implement in your programming language of choice to get in the flow of implementing ideas as well.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.
Problems For The Day Before Your Coding Interview
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Author : Aditya Chatterjee
language : en
Publisher: OpenGenus
Release Date : 2020-03-23
Problems For The Day Before Your Coding Interview written by Aditya Chatterjee and has been published by OpenGenus this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Computers categories.
If you have an upcoming coding interview, this is a must for you to read this book 💪 and get prepared to tackle ALGORITHM and DATA STRUCTURE problems in a day. In this book, we have solved insightful algorithmic problems and discussed some of the best insights to drive you into the problem solving mindset. Being in a mindset required for an upcoming event is like winning half the battle. In this book, we begin with an easy problem and go on to explore some tough and insightful problems. The first problem we presented is to delete minimum number of digits in a number to make it a perfect square. This might seem to be a simple problem but the insights involved in solving this is widely applicable across various Algorithmic problems. This problem is solved in time complexity of O(N ^ (1/3) x logN x logN) (think how?) Moreover, in solving the above problem, we have learnt how to generate all combinations/ subsets of a set efficiently. In this line, we have covered other ideas related to combination and permutation generation in other problems in this book. Some of the ideas we covered in the other problems are: * Augmented data structures: How modifying a data structure can improve the complexity greatly. * How a single data structure can have multiple states? and algorithms to interchange them * Concepts related to string comparison and searching (MUST READ + VERY IMPORTANT) * Basic insightful ideas in Number theory and solved a couple of problems related to it * Understanding how number of operations can be reduced greatly without impacting time complexity. * Insightful understanding and analysis of Heap's algorithm for permutation generation (VERY IMPORTANT + RARE) * These problems have covered domains like Graph Theory, Dynamic Programming, Greedy Algorithms, Number Theory, Divide and Conquer and much more. In short, we have carefully chosen the problems to give you idea of: * Basic yet widely asked concepts like combination and permutation generation, forming Dynamic Programming solutions, applying greedy algorithms * Doing a detailed complexity analysis * Proceed in solving the problem in steps and understand deeply why the solution works This book has been prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from Tokyo Institute of Technology. Read this book now and ace your upcoming coding interview 💪 If you have a doubt regarding some algorithmic problem or want some addition/ modification to this book, feel free to get in touch with us or leave a review comment 😃
Problems For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-03-23
Problems For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with categories.
If you have an upcoming coding interview, this is a must for you to read this book 💪 and get prepared to tackle ALGORITHM and DATA STRUCTURE problems in a day. In this book, we have solved insightful algorithmic problems and discussed some of the best insights to drive you into the problem solving mindset.Being in a mindset required for an upcoming event is like winning half the battle.In this book, we begin with an easy problem and go on to explore some tough and insightful problems. The first problem we presented is to delete minimum number of digits in a number to make it a perfect square. This might seem to be a simple problem but the insights involved in solving this is widely applicable across various Algorithmic problems. This problem is solved in time complexity of O(N ^ (1/3) x logN x logN) (think how?)Moreover, in solving the above problem, we have learnt how to generate all combinations/ subsets of a set efficiently. In this line, we have covered other ideas related to combination and permutation generation in other problems in this book.Some of the ideas we covered in the other problems are:* Augmented data structures: How modifying a data structure can improve the complexity greatly.* How a single data structure can have multiple states? and algorithms to interchange them* Concepts related to string comparison and searching (MUST READ + VERY IMPORTANT)* Basic insightful ideas in Number theory and solved a couple of problems related to it* Understanding how number of operations can be reduced greatly without impacting time complexity.* Insightful understanding and analysis of Heap's algorithm for permutation generation (VERY IMPORTANT + RARE)* These problems have covered domains like Graph Theory, Dynamic Programming, Greedy Algorithms, Number Theory, Divide and Conquer and much more.In short, we have carefully chosen the problems to give you idea of:* Basic yet widely asked concepts like combination and permutation generation, forming Dynamic Programming solutions, applying greedy algorithms* Doing a detailed complexity analysis* Proceed in solving the problem in steps and understand deeply why the solution worksThis book has been prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview 💪
Cracking The Coding Interview
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Author : Gayle Laakmann McDowell
language : en
Publisher: CreateSpace
Release Date : 2011
Cracking The Coding Interview written by Gayle Laakmann McDowell and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computer programmers categories.
Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.
Mathematical Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-05-31
Mathematical Algorithms For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-31 with categories.
Mathematical Algorithms are fundamentally important as several real-life problems can be modeled as a Mathematical problem. Solving such problems require mathematical insights.These problems are a fundamental part of Interviews as it illustrates the thinking process of the candidate clearly. By going through the problems in this book, you will be well prepared to tackle any Mathematical problem.Following are some of the problems we have explored which involve ideas to solve a wider range of problems.- Smallest number with multiplesThis is a unique problem where we learn key insights regarding Prime factorization, role of primes in multiples and much more.We improve the time complexity of this problem starting from O(N^3 * log N) to O(N * log N * log N) to O(N * log log N).- Largest palindromeIn this problem, we have reduced 810000 comparisons to 362 comparisons based on three deep insights. This is a dramatic improvement and demonstrates that even if time complexity cannot be improved, the performance can be improved significantly.- GCD of sub-partsThis problem brings up key insights involving GCD (a common and important topic) and in the process, we have explored several standard algorithms like Euclidean' s GCD Algorithm in the path of developing our custom algorithm for the given problem.- Next PermutationThis problem demonstrates a significant improvement from O(N^N x N x logN) time to O(N) time complexity. Moreover, it illustrates that improving time complexity does not necessarily mean increasing space complexity as it reduces space complexity from O(N^N) to O(1).This brings in idea of Greedy Algorithms to Mathematical Algorithm and in the process, we have explored several standard algorithms like Heap's Algorithm.With these problems and the thought process to solve them, you will be fully prepared.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.Books in this series ("Day before coding Interview"): - Problems for the day before your coding interview- Greedy Algorithms for the day before your Coding Interview- Dynamic Programming for the day before your coding interview- String Algorithms for the day before your Coding Interview- Mathematical Algorithms for the day before your Coding Interview
Dynamic Programming For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-04-28
Dynamic Programming For The Day Before Your Coding Interview written by Ue Kiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with categories.
Dynamic Programming is a fundamental algorithmic technique which is behind solving some of the toughest computing problems.In this book, we have covered some Dynamic Programming problems which will give you the general idea of formulating a Dynamic Programming solution and some practice on applying it on a variety of problems.Some of the problems we have covered are: * Permutation coefficientThis is a basic problem but is significant in understanding the idea behind Dynamic Programming. We have used this problem to: * Present the two core ideas of Dynamic Programming to make the idea clear and help you understand what Dynamic Programming mean. * Show another approach which can same performance (in terms of time complexity) and understand how it is different from our Dynamic Programming approach* Longest Common SubstringThis is an important problem as we see how we can apply Dynamic Programming in string problems. In the process, we have demonstrated the core ideas of handling string data which helps in identifying the cases when Dynamic Programming is the most efficient approach.* XOR valueThis is another significant problem as we are applying Dynamic Programming on a Number Theory problem more specifically problem involving subset generation. The search space is exponential in size but with our efficient approach, we can search the entire data in polynomial time which is a significant improvement.This brings up a fundamental power of Dynamic Programming: Search exponential search space in polynomial time* K edgesIn line with our previous problems, in this problem, we have applied Dynamic Programming in a graph-based problem. This is a core problem as in this we learn that: * Dynamic Programming makes the solution super-efficient * Extending the Dynamic Programming solution using Divide and Conquer enables us to solve it more efficientlyThis problem shows a problem where Dynamic Programming is not the most efficient solution but is in the right path.We have covered other relevant solutions and ideas as well so that you have the complete idea of the problems and understand deeply the significance of Dynamic Programming in respect to the problems.This book has been carefully prepared and reviewed by Top programmers and Algorithmic researchers and members of OpenGenus. We would like to thank Aditya Chatterjee and Ue Kiao for their expertise in this domain and reviews from professors at The University of Tokyo and Tokyo Institute of Technology.Read this book now and ace your upcoming coding interview. This is a must read for everyone preparing for Coding Interviews at top companies.
Elements Of Programming Interviews
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Author : Adnan Aziz
language : en
Publisher: EPI
Release Date : 2012-10-11
Elements Of Programming Interviews written by Adnan Aziz and has been published by EPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-11 with Computers categories.
The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.
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.
Grokking Algorithms Second Edition
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Author : Aditya Y Bhargava
language : en
Publisher: Simon and Schuster
Release Date : 2024-04-02
Grokking Algorithms Second Edition written by Aditya Y Bhargava and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.
A friendly, fully-illustrated introduction to the most important computer programming algorithms. Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP-complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3. Foreword by Daniel Zingaro. About the technology The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required! About the book Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3. What's inside Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP-complete and greedy algorithms Exercises and code samples in every chapter About the reader No advanced math or programming skills required. About the author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents 1 Introduction to algorithms 2 Selection sort 3 Recursion 4 Quicksort 5 Hash tables 6 Beadth-first search 7 Trees 8 Balanced trees 9 Dijkstra’s algorithm 10 Greedy algorithms 11 Dynamic programming 12 k-nearest neighbors 13 where to go next