Data Structures Algorithms Essentials

Author: Solomon
Editor: Independently Published
ISBN: 9781694641984
File Size: 48,72 MB
Format: PDF, Kindle
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This e-book is the Basics Edition. It illustrates the common, and essential data structures algorithms underscoring the BIG O Time Complexity basics. It also details, with examples, using one of the world's most commonly used programming language (C# - pronounced CSharp) to describe how it can be applied or implemented by developers, and novices alike, for the real-life scenario solutions, with codes, and including useful references. The objective is to help, established software developers, up-coming developers, scientists, mathematicians, and software novices alike. It captures the common, and the essential basics of data structures algorithms of the BIG O Time Complexity, and described them in clear, and unambiguous terms, detailing where and how to apply them in solution development in the real world, with great examples written with C# programming language. This can also be applied to any other programming language, such as Java, PHP, Ruby, C, C++, F# etc, just to mention a few. The aim is also to make it, serve as a first-hand personal reference guide, for anyone that may need it, or have to tackle solution/s involving, the BIG O Time Complexity with data structure algorithms, but also software developers/programmers, scientists, mathematicians, who may have at one point in their solution designing, and implementation work life, encountered the BIG O Time Complexity scenarios. This e-book provides a comprehensive basic list, and addresses, the down-to-basics, of how to handle, implement the time complexity issues, and how to turn them into viable implementable real-life solutions, using C# programming language.

Dr Dobb S Essential Books On Algorithms And Data Structures

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ISBN:
File Size: 12,89 MB
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Dr Dobb S Journal

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ISBN:
File Size: 27,61 MB
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Hands On Data Structures And Algorithms With Python

Author: Dr. Basant Agarwal
Editor: Packt Publishing Ltd
ISBN: 1788991931
File Size: 11,14 MB
Format: PDF, Mobi
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Learn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental Python data structures Explore advanced Python concepts such as Big O notation and dynamic programming Learn functional and reactive implementations of traditional data structures Book Description Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms. What you will learn Understand object representation, attribute binding, and data encapsulation Gain a solid understanding of Python data structures using algorithms Study algorithms using examples with pictorial representation Learn complex algorithms through easy explanation, implementing Python Build sophisticated and efficient data applications in Python Understand common programming algorithms used in Python data science Write efficient and robust code in Python 3.7 Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.

C Data Structures And Algorithms

Author: Wisnu Anggoro
Editor: Packt Publishing Ltd
ISBN: 1788831977
File Size: 61,54 MB
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Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++ Key Features Use data structures such as arrays, stacks, trees, lists, and graphs with real-world examples Learn the functional and reactive implementations of the traditional data structures Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner Book Description C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer. We begin with an introduction to C++ data structures and algorithms while also covering essential language constructs. Next, we will see how to store data using linked lists, arrays, stacks, and queues. Then, we will learn how to implement different sorting algorithms, such as quick sort and heap sort. Along with these, we will dive into searching algorithms such as linear search, binary search and more. Our next mission will be to attain high performance by implementing algorithms to string datatypes and implementing hash structures in algorithm design. We'll also analyze Brute Force algorithms, Greedy algorithms, and more. By the end of the book, you'll know how to build components that are easy to understand, debug, and use in different applications. What you will learn Know how to use arrays and lists to get better results in complex scenarios Build enhanced applications by using hashtables, dictionaries, and sets Implement searching algorithms such as linear search, binary search, jump search, exponential search, and more Have a positive impact on the efficiency of applications with tree traversal Explore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sort Implement various common algorithms in string data types Find out how to design an algorithm for a specific task using the common algorithm paradigms Who this book is for This book is for developers who would like to learn the Data Structures and Algorithms in C++. Basic C++ programming knowledge is expected.

Data Structures I Essentials

Author: Dennis Smolarski
Editor: Research & Education Assoc.
ISBN: 9780738671499
File Size: 21,51 MB
Format: PDF, Mobi
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REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Data Structures I includes scalar variables, arrays and records, elementary sorting, searching, linked lists, queues, and appendices of binary notation and subprogram parameter passing.

Algorithms In C Parts 1 4

Author: Robert Sedgewick
Editor: Addison-Wesley Professional
ISBN: 076868501X
File Size: 55,40 MB
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Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Essential Algorithms

Author: Rod Stephens
Editor: John Wiley & Sons
ISBN: 1118797299
File Size: 42,35 MB
Format: PDF
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A friendly and accessible introduction to the most usefulalgorithms Computer algorithms are the basic recipes for programming.Professional programmers need to know how to use algorithms tosolve difficult programming problems. Written in simple, intuitiveEnglish, this book describes how and when to use the most practicalclassic algorithms, and even how to create new algorithms to meetfuture needs. The book also includes a collection of questions thatcan help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such asarrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees,B-trees Addresses general problem-solving techniques such as branch andbound, divide and conquer, recursion, backtracking, heuristics, andmore Reviews sorting and searching, network algorithms, andnumerical algorithms Includes general problem-solving techniques such as brute forceand exhaustive search, divide and conquer, backtracking, recursion,branch and bound, and more In addition, Essential Algorithms features a companionwebsite that includes full instructor materials to support trainingor higher ed adoptions.

Algorithms In C

Author: Robert Sedgewick
Editor:
ISBN:
File Size: 51,69 MB
Format: PDF, Kindle
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Algorithms in C++ contains exercises to help students learn the properties of algorithms with a greater emphasis on abstract data types, modular programming, object oriented programming and C++ classes.

Fundamentals Of Oop And Data Structures In Java

Author: Richard Wiener
Editor: Cambridge University Press
ISBN: 9780521662208
File Size: 22,55 MB
Format: PDF, Mobi
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A book for an undergraduate course on data structures which integrates the concepts of object-oriented programming and GUI programming.

Algorithms And Data Structures

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ISBN:
File Size: 36,76 MB
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Data Structures And Algorithms

Author: Harry. H. Chaudhary.
Editor: Programmers Mind LLC New York.
ISBN:
File Size: 50,19 MB
Format: PDF
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Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less

Fundamentals Of Data Structures

Author: Anuradha A. Puntamberkar
Editor: Technical Publications
ISBN: 9333223797
File Size: 51,17 MB
Format: PDF
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The book has been developed to provide comprehensive and consistent coverage of both the concepts of data structures as well as implementation of these concepts using Python and C++ language. The book utilizes a systematic approach wherein each data structure is explained using examples followed by its implementation using suitable programming language. It begins with the introduction to data structures and algorithms. In this, an overview of various types of data structures is given and asymptotic notations, best case, worst case and average case time complexity is discussed. This part is concluded by discussing the two important algorithmic strategies such as - divide and conquer and greedy method. The book then focuses on the linear data structures such as arrays in which types of arrays, concept of ordered list, implementation of polynomial using arrays and sparse matrix representation and operations are discussed. The implementation of these concepts is using Python and C++ programming language. Then searching and sorting algorithms, their implementation and time complexities are discussed. The sorting and searching methods are illustrated systematically with the help of examples. The book then covers the linear data structures such as linked list, stacks and queues. These data structures are very well explained with the help of illustrative diagrams, examples and implementations. The explanation in this book is in a very simple language along with clear and concise form which will help the students to have clear-cut understanding of the subject.

Algorithms And Data Structures

Author: International Workshop on Algorithms and Data Structures
Editor: Springer Science & Business Media
ISBN: 9783540602200
File Size: 36,97 MB
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This volume constitutes the proceedings of the Fourth International Workshop on Algorithms and Data Structures, WADS '95, held in Kingston, Canada in August 1995. The book presents 40 full refereed papers selected from a total of 121 submissions together with invited papers by Preparata and Bilardi, Sharir, Toussaint, and Vitanyi and Li. The book addresses various aspects of algorithms, data structures, computational geometry, scheduling, computational graph theory, and searching.

Fundamentals Of Data Structures In Pascal

Author: Ellis Horowitz
Editor: Computer Science Press, Incorporated
ISBN:
File Size: 55,10 MB
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Essential Logic For Computer Science

Author: Rex Page
Editor: MIT Press
ISBN: 0262039184
File Size: 35,37 MB
Format: PDF, ePub
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An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory. Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a handful of problem sets in a discrete math course. This book offers a more substantive and rigorous approach to logic that focuses on applications in computer science. Topics covered include predicate logic, equation-based software, automated testing and theorem proving, and large-scale computation. Formalism is emphasized, and the book employs three formal notations: traditional algebraic formulas of propositional and predicate logic; digital circuit diagrams; and the widely used partially automated theorem prover, ACL2, which provides an accessible introduction to mechanized formalism. For readers who want to see formalization in action, the text presents examples using Proof Pad, a lightweight ACL2 environment. Readers will not become ALC2 experts, but will learn how mechanized logic can benefit software and hardware engineers. In addition, 180 exercises, some of them extremely challenging, offer opportunities for problem solving. There are no prerequisites beyond high school algebra. Programming experience is not required to understand the book's equation-based approach. The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students.

Computing Concepts With C Essentials And Matlab

Author: Cay S. Horstmann
Editor:
ISBN:
File Size: 50,41 MB
Format: PDF, Docs
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Python Essential Reference

Author: David Beazley
Editor: Addison-Wesley Professional
ISBN: 0768687020
File Size: 52,15 MB
Format: PDF
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Python Essential Reference is the definitive reference guide to the Python programming language — the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library. Designed for the professional programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source. Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the definitive guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3. Programmers starting a new Python project will find detailed coverage of contemporary Python programming idioms. This fourth edition of Python Essential Reference features numerous improvements, additions, and updates: Coverage of new language features, libraries, and modules Practical coverage of Python's more advanced features including generators, coroutines, closures, metaclasses, and decorators Expanded coverage of library modules related to concurrent programming including threads, subprocesses, and the new multiprocessing module Up-to-the-minute coverage of how to use Python 2.6’s forward compatibility mode to evaluate code for Python 3 compatibility Improved organization for even faster answers and better usability Updates to reflect modern Python programming style and idioms Updated and improved example code Deep coverage of low-level system and networking library modules — including options not covered in the standard documentation

Mike And Phani S Essential C Techniques

Author: Michael Hyman
Editor: Apress
ISBN: 143021127X
File Size: 72,89 MB
Format: PDF, Mobi
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C++ is the language of choice for developing the most sophisticated Windows programs, but it is filled with hidden traps for the unwary. Mike Hyman and Phani Vaddadi's no-nonsense book helps C++ programmers avoid these traps by providing invaluable techniques gleaned from a combined 30 years of experience. In this book, you'll find a number of invaluable real-world tips and techniques that will help you improve your code and coding practices.