Download Full eBooks in PDF
Intermediate Problem Solving And Data Structures Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Intermediate Problem Solving And Data Structures book. This book definitely worth reading, it is an incredibly well-written.
Author : Paul Helman,Robert Veroff
Publisher : Benjamin-Cummings Publishing Company
Page : 648 pages
File Size : 46,8 Mb
Release : 1986
Category : Computer programming
ISBN : UOM:39015009845234
Author : Paul Helman,Robert Veroff
Publisher : Benjamin-Cummings Publishing Company
Page : 666 pages
File Size : 55,7 Mb
Release : 1988
Category : Computers
ISBN : UOM:39015013067288
Software -- Programming Techniques.
Author : Bradley N. Miller,David L. Ranum
Publisher : Franklin Beedle & Associates
Page : 0 pages
File Size : 45,6 Mb
Release : 2011
Category : Algorithms
ISBN : 1590282574
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.
Author : Paul Helman,Craig Morgenstern,Robert Veroff,Frank M. Carrano
Publisher : Unknown
Page : 250 pages
File Size : 44,5 Mb
Release : 1991
Category : Computer programming
ISBN : 0805303227
Author : Paul Helman,Robert Veroff,Frank M. Carrano
Publisher : Benjamin-Cummings Publishing Company
Page : 746 pages
File Size : 41,9 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015025215693
Author : Mark Allen Weiss
Publisher : Addison Wesley Publishing Company
Page : 856 pages
File Size : 48,7 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015048761608
Providing a complete explanation of problem solving and algorithms using C++, the author's theoretical perspective emphasizes software engineering and object-oriented programming, and encourages readers to think abstractly. Numerous code examples and case studies are used to support the algorithms presented.
Author : Mark Allen Weiss
Publisher : Addison Wesley Publishing Company
Page : 824 pages
File Size : 53,7 Mb
Release : 1998
Category : Business & Economics
ISBN : 0201549913
This text uses Java to teach data structures and algorithms from the perspective of abstract thinking and problem solving.
Author : Kristen Jensen,Paul Helman,Robert Veroff
Publisher : Unknown
Page : 265 pages
File Size : 54,5 Mb
Release : 1986
Category : Electronic
ISBN : 0805389415
Author : Mark Allen Weiss
Publisher : Pearson
Page : 984 pages
File Size : 44,9 Mb
Release : 2000
Category : Business & Economics
ISBN : UCSD:31822028311843
Experienced author and teacher Mark Allen Weiss now brings his expertise to the CS2 course with Algorithms, Data Structures, and Problem Solving with C++, which introduces both data structures and algorithm design from the viewpoint of abstract thinking and problem solving. The author chooses C++ as the language of implementation, but the emphasis of the book itself remains on uniformly accepted CS2 topics such as pointers, data structures, algorithm analysis, and increasingly complex programming projects. Algorithms, Data Structures, and Problem Solving with C++ is the first CS2 textbook to clearly separate the interface and implementation of data structures. The interface and running time of data structures are presented first, and students have the opportunity to use the data structures in a host of practical examples before being introduced to the implementations. This unique approach enhances the students' ability to think abstractly.
Author : Mark Allen Weiss
Publisher : Pearson Higher Ed
Page : 949 pages
File Size : 47,9 Mb
Release : 2013-08-29
Category : Computers
ISBN : 9781292038186
For the second or third programming course. A practical and unique approach to data structures that separates interface from implementation. This book provides a practical introduction to data structures with an emphasis on abstract thinking and problem solving, as well as the use of Java. It does this through what remains a unique approach that clearly separates each data structure’s interface (how to use a data structure) from its implementation (how to actually program that structure). Parts I (Tour of Java), II (Algorithms and Building Blocks), and III (Applications) lay the groundwork by discussing basic concepts and tools and providing some practical examples, while Part IV (Implementations) focuses on implementation of data structures. This forces the reader to think about the functionality of the data structures before the hash table is implemented. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author : Mark Allen Weiss
Publisher : Addison Wesley Longman
Page : 614 pages
File Size : 45,5 Mb
Release : 1999
Category : Algorithms
ISBN : UOM:39076002777352
In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.
Author : Hemant Jain
Publisher : Createspace Independent Publishing Platform
Page : 436 pages
File Size : 54,7 Mb
Release : 2016-10-21
Category : Electronic
ISBN : 1539724123
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 JAVA language developer. You are not an expert in JAVA language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the JAVA language fundamentals. 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 & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
Author : Suman Saha,Shailendra Shukla
Publisher : CRC Press
Page : 314 pages
File Size : 42,6 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9780429949845
Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus. The book offers comprehensive coverage of the most essential topics, including: Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files. Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures. Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained. Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts. The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.
Author : G. A. Vijayalakshmi Pai
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 46,7 Mb
Release : 2023-01-25
Category : Computers
ISBN : 9781786308924
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
Author : Anuradha A. Puntambekar
Publisher : Technical Publications
Page : 510 pages
File Size : 45,7 Mb
Release : 2020-12-01
Category : Computers
ISBN : 9789333223836
Advanced Data Structures is a core subject in Computer Science. It includes a solid introduction to algorithms, data structures and uses C++ syntax and structure in the design of data structures. This textbook helps the students to make the transition from fundamentals of data structures to an advanced level of data structures and their applications. At the beginning, the non-linear data structures such as trees and graphs are discussed in the first two units. In the third unit, the concept of hashing is discussed. In this, the hashing methods, collision handling techniques, concept of dictionary and skip lists are discussed. Next two units are based on search trees and multiway trees. These are basically the advanced level tree structures such as AVL trees, Optimal Binary Search Trees (OBST), B trees, B+ trees, Trie trees, Red-black trees, KD trees and AA trees. Sufficient number of examples and programming illustrations are supported for better understanding of the complex concepts in the simplest manner. Finally, the file organization is discussed, in which various file organization techniques and implementation is illustrated. The objective of this book is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving approach.