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Algorithms on Trees and Graphs

techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis;

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Algorithmic Thinking

Readers tackle challenging topics like recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and;

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Design and Analysis of Computer Algorithms, The

The Design and Analysis of Computer Algorithms introduces the basic data structures and programming techniques often used in efficient;

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Techniques for Searching, Parsing, and Matching

for advanced undergraduate and graduate courses on automata and formal languages, and assumes some prior exposure to the basic notions in that;

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Graph Theory

diagrams of graphs, directed graphs, and trees. The emphasis throughout is on theorems rather than algorithms or applications, which however are;

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Graph Theory

diagrams of graphs, directed graphs, and trees. The emphasis throughout is on theorems rather than algorithms or applications, which however are;

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Graph Algorithms

book is devoted to network flows and applications of network flows, and it ends with chapters on planar graphs and testing graph planarity.;

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Graph Algorithms

book is devoted to network flows and applications of network flows, and it ends with chapters on planar graphs and testing graph planarity.;

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Java 9 Data Structures and Algorithms

About This Book * This book provides complete coverage of reactive and functional data structures * Based on the latest version of Java 9;

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Data Structures & Algorithms C++

This book presents the fundamentals of data structures from an object oriented perspective. The text uses C++, whose classes and object;

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Swift Data Structure and Algorithms

large amounts of data or provide fast and efficient searching can be complex, especially running on mobile devices with limited memory and;

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Data Structures and Algorithms Using C#

C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to;

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Data Structures and Algorithms Using C#

C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to;

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Algebraic Informatics

submissions. The papers cover topics such as algebraic semantics on graph and trees, formal power series, syntactic objects, algebraic picture;

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Data Structures And Algorithms With Javascript

associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety;

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Optimization Algorithms for Networks and Graphs

formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which;

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Optimization Algorithms for Networks and Graphs

formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which;

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Learning JavaScript Data Structures and Algorithms -

In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current;

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Mastering Algorithms With C

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C;

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Learning JavaScript Data Structures and Algorithms

introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists;

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Common-Sense Guide to Data Structures and Algorithms, A

If you last saw algorithms in a university course or at a job interview, you're missing out on what they can do for your code. Learn;

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Data Structures and Algorithms Using Visual Basic.NET

of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and;

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Programming Algorithms in Lisp

Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential;

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Probability on Trees and Networks

percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding;

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Probability on Trees and Networks

percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding;

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