headerdesktop minicititori28mai24

MAI SUNT 00:00:00:00

MAI SUNT

X

headermobile minicititori28mai24

MAI SUNT 00:00:00:00

MAI SUNT

X

Promotii popup img

Targul Cartii pentru Copii

CADOU Carnetel,

REDUCERI de neratat

Rasfoieste si comanda!

Graph Algorithms for the day before your coding interview

Graph Algorithms for the day before your coding interview - Ue Kiao

Graph Algorithms for the day before your coding interview

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- G
Citeste mai mult

-10%

PRP: 55.33 Lei

!

Acesta este Pretul Recomandat de Producator. Pretul de vanzare al produsului este afisat mai jos.

49.80Lei

49.80Lei

55.33 Lei

Primesti 49 puncte

Important icon msg

Primesti puncte de fidelitate dupa fiecare comanda! 100 puncte de fidelitate reprezinta 1 leu. Foloseste-le la viitoarele achizitii!

Livrare in 2-4 saptamani

Descrierea produsului

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- G
Citeste mai mult

De pe acelasi raft

De acelasi autor

Parerea ta e inspiratie pentru comunitatea Libris!

Acum se comanda

Noi suntem despre carti, si la fel este si

Newsletter-ul nostru.

Aboneaza-te la vestile literare si primesti un cupon de -10% pentru viitoarea ta comanda!

*Reducerea aplicata prin cupon nu se cumuleaza, ci se aplica reducerea cea mai mare.

Ma abonez image one
Ma abonez image one