Dynamic Programming For Coding Interviews


Dynamic Programming For Coding Interviews
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Dynamic Programming For Coding Interviews


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.



Dynamic Programming For Coding Interviews


Dynamic Programming For Coding Interviews
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Author : Meenakshi Rawat
language : en
Publisher: Independently Published
Release Date : 2023-03-10

Dynamic Programming For Coding Interviews written by Meenakshi Rawat and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with categories.


On a computer, where the non-recursive Dynamic Programming solution to compute the n'th Fibonacci term takes 1 second to find the 40th term, the corresponding recursive solution will take approximately 56 hours to find the same 40th Fibonacci term. It is because the small innocent-looking recursive solution of Fibonacci takes exponential time, whereas the DP solution takes linear time. Dynamic programming questions are the most difficult to answer in competitions and interviews. In most coding competitions, a recursive solution will not pass all test cases. This book takes dynamic programming head-on.



Dynamic Programming For Coding


Dynamic Programming For Coding
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Author : Meenakshi
language : en
Publisher: Notion Press
Release Date : 2017-01-16

Dynamic Programming For Coding 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 2017-01-16 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.



Dynamic Programming 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.



Programming Interview Problems


Programming Interview Problems
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Author : Leonardo Rossi
language : en
Publisher:
Release Date : 2020-11-05

Programming Interview Problems written by Leonardo Rossi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with categories.


Are you preparing for a programming interview? Would you like to work at one of the Internet giants, such as Google, Facebook, Amazon, Apple, Microsoft or Netflix? Are you looking for a software engineer position? Are you studying computer science or programming? Would you like to improve your programming skills? If the answer to any of these questions is yes, this book is for you! The book contains very detailed answers and explanations for the most common dynamic programming problems asked in programming interviews. The solutions consist of cleanly written code, with plenty of comments, accompanied by verbal explanations, hundreds of drawings, diagrams and detailed examples, to help you get a good understanding of even the toughest problems. The goal is for you to learn the patterns and principles needed to solve even dynamic programming problems that you have never seen before. Here is what you will get: A 180-page book presenting dynamic programming problems that are often asked in interviews. Multiple solutions for each problem, starting from simple but naive answers that are gradually improved until reaching the optimal solution. Plenty of detailed examples and walkthroughs, so that you can see right away how the solution works. 350+ drawings and diagrams which cater towards visual learners. Clear and detailed verbal explanations of how to approach the problems and how the code works. Analysis of time and space complexity. Discussion of other variants of the same problem, with solutions. Unit tests, including the reasoning behind choosing each one (edge case identification, performance evaluation etc.). Suggestions regarding what clarification questions you should ask, for each problem. Multiple solutions to the problems, where appropriate. General Python implementation tips. Wishing you the best of luck with your interviews!



Coding Interviews


Coding Interviews
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Author : Harry He
language : en
Publisher: Apress
Release Date : 2013-01-31

Coding Interviews written by Harry He and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-31 with Computers categories.


This book is about coding interview questions from software and Internet companies. It covers five key factors which determine performance of candidates: (1) the basics of programming languages, data structures and algorithms, (2) approaches to writing code with high quality, (3) tips to solve difficult problems, (4) methods to optimize code, (5) soft skills required in interviews. The basics of languages, algorithms and data structures are discussed as well as questions that explore how to write robust solutions after breaking down problems into manageable pieces. It also includes examples to focus on modeling and creative problem solving. Interview questions from the most popular companies in the IT industry are taken as examples to illustrate the five factors above. Besides solutions, it contains detailed analysis, how interviewers evaluate solutions, as well as why they like or dislike them. The author makes clever use of the fact that interviewees will have limited time to program meaningful solutions which in turn, limits the options an interviewer has. So the author covers those bases. Readers will improve their interview performance after reading this book. It will be beneficial for them even after they get offers, because its topics, such as approaches to analyzing difficult problems, writing robust code and optimizing, are all essential for high-performing coders.



Dynamic Programming On Trees


Dynamic Programming On Trees
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Author : Ue Kiao
language : en
Publisher: Independently Published
Release Date : 2022-01-24

Dynamic Programming On Trees written by Ue Kiao and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-24 with categories.


This book "Dynamic Programming on Trees" is a deep dive into applying Dynamic Programming technique on Tree Data Structure based problems. On completing this book, you will have these core skills: Strong hold on Dynamic Programming on Trees Easily solve Dynamic Programming problems in Coding Interview Best approach to go through this book: Master the basics (Part 1): This part introduces you to the basics of Tree Data Structure, Dynamic Programming (DP) and how DP can be applied on Tree. Having a strong hold in this part helps you to visualize solutions. Practice Problems on Tree DP (Part 2): Practice is a key to success for Coding Interviews, Competitive Programming and Efficient Problem Solving. Practice one problem everyday by implementing the solution on your own. Practice Problems on Graph DP (Part 3): Tree is a restricted version of a Graph and problems in this section will take you to the next level. You will view Trees and Graphs differently. Table of contents: Introduction to Tree Introduction to Dynamic Programming Dynamic Programming on Tree Practice Problems: Find height of every node of Binary Tree Find diameter of Binary Tree using height of every node Find diameter of N-ary Binary Tree Largest Independent Set in Binary Tree Binary Lifting with kth ancestor Minimum number of nodes to be deleted so that at most k leaves are left Minimum Cost Path in 2D matrix Maximum Cost Path in 2D matrix Maximum average value path in a 2D matrix (Restricted) Minimum average value path in a 2D matrix (Restricted) Count paths from Top Left to Bottom Right of a Matrix Minimum Cost for Triangulation of a Convex Polygon Number of paths with k edges Shortest Path with k edges Vertex Cover Problem Get started with this book and change the equation of your career. Book: Dynamic Programming on Trees Authors (2): Aditya Chatterjee, Ue Kiao Published: January 2022 (Edition 1) Publisher: OpenGenus



String Algorithms For The Day Before Your Coding Interview


String Algorithms For The Day Before Your Coding Interview
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Author : Ue Kiao
language : en
Publisher:
Release Date : 2020-05-11

String 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 2020-05-11 with categories.


Strings are fundamental data type in real world and developing algorithms to deal with it is an important domain. In interviews, often, string algorithms are most insightful and challenging.In this guide for the day before your coding interview, we have explored some problems and demonstrated the thought process to solve it starting from the brute force solutions. In the process, we have covered all fundamental ideas along with applying Dynamic Programming to String algorithms so that you are able to solve all string-based problems. Some of the problems we have covered are: - Check substring: This is an important fundamental problem where we learn how strings can be handled just like numeric data and algorithms for numeric data can be leveraged.Some of the core concepts we explored are string hashing, rolling hash and much more.- Longest common substring: This is a core problem as this uses the concepts we gained in the previous problems and an alternative solution is to use Dynamic Programming.The core idea is to apply Dynamic Programming over two different string data.- Longest repeating substring: In line with our previous problem, we explored how to apply Dynamic Programming for this problem. The key distinction is that we are dealing with just 1 string instead of 2 strings as in the previous problem. Unlike the previous problem, the Dynamic Programming approach is the only optimal solution.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



Searching Sorting For Coding Interviews


Searching Sorting For Coding Interviews
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Author : Meenakshi, Kamal Rawat
language : en
Publisher: Notion Press
Release Date : 2017-11-07

Searching Sorting For Coding Interviews written by Meenakshi, Kamal Rawat and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-07 with Computers categories.


Searching & sorting algorithms form the back bone of coding acumen of developers. This book comprehensively covers In-depth tutorial & analysis of all major algorithms and techniques used to search and sort across data structures. All major variations of each algorithm (e.g. Ternary, Jump, Exponential, Interpolation are variations of Binary search). 110 real coding interview questions as solved examples and unsolved problems. Case studies of implementation of searching and sorting in language libraries. Introduction to how questions are asked and expected to answer on online competitive coding and hiring platforms like hackerrank.com, codechef.com, etc. Introduction to data structures.



Cracking The 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.