Data Structures & Algorithms Using JavaScript by Hemant Jain English | 17 May 2017 | ASIN: B072J44X62 | 614 Pages | AZW3 | 4.22 MB This book is about the usage of data structures and algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a JavaScript language developer. You are not an expert in JavaScript language, but you are well familiar with concepts of references, functions, arrays and recursion. In the start of this book, we will be revising the JavaScript language fundamentals that will be used throughout this book. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a linked list, stack, queue, trees, heap, hash table and graphs. We will be looking into sorting, searching techniques. Then we will be looking into algorithm analysis, we will be looking into brute force algorithms, greedy algorithms, divide and conquer algorithms, dynamic programming, reduction, and backtracking. In the end, we will be looking into the system design that will give a systematic approach for solving the design problems in an Interview.

烯醇官能化氮杂环卡宾稀土金属胺化物的合成，分子结构及其催化胍化反应研究，李志，沈琪，本文本文以烯醇官能化的氮杂环卡宾前体H2LBr (L= 4-OMe-C6H4COCH{C(NCHCHNiPr)})为辅助配体，通过与LnCl3(Ln = Y, Nd, Sm, Yb)和NaN(TMS)2的混合体系进行�

The book's conceptual presentation focuses on ADTs and the analysis of algorithms for efficiency, with a particular concentration on performance and running time.

《数据结构与算法C++版》(Data Structures and Algorithms in C++ Second Edition Adam Drozdek)第2版

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Data_structures_algorithms_tutorial

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background. Table of Contents Chapter 1 Python Programming 101 Chapter 2 Computational Complexity Chapter 3 Recursion Chapter 4 Sequences Chapter 5 Sets and Maps Chapter 6 Trees Chapter 7 Graphs Chapter 8 Membership Structures Chapter 9 Heaps Chapter 10 Balanced Binary Search Trees Chapter 11 B-Trees Chapter 12 Heuristic Search Appendix A: Integer Operators Appendix B: Float Operators Appendix C: String Operators and Methods Appendix D: List Operators and Methods Appendix E: Dictionary Operators and Methods Appendix F: Turtle Methods Appendix H: Complete Programs

Data Structures and Algorithms Made Easy 5th

Alogrithm Design Manual一书中作者强烈推荐的数据结构方面的参考书，可以当做数据结构的工具书来用，可以查到各种基本数据结构及其用法。在网上找了很久才下到的，拿来和大家分享！