Showing posts with label 3-1 CSE e-books. Show all posts
Showing posts with label 3-1 CSE e-books. Show all posts
jntu 3-1 cse textbooks free download
Download the prescribed textbooks of JNTU 3rd year 1st semester COMPUTER SCIENCE AND ENGINEERING(CSE) branch E-books
Additional :
computer graphics by a.p.godse ebook free download
E-Book Details:
Title: | Computer Graphics |
Publisher: | Technical Publications |
Author: | A.P.Godse |
Edition: | 2nd, illustrated 2009 |
Format: | PDF |
ISBN: | 8184317379 |
EAN: | 9788184317374 |
No.ofPages: | 564 |
Book Description:
Basic Concepts Types of graphics devices, Display file structure, Display file interpreter, Display processors, Graphics file format, BMP, TIFF, PCX, GIF. Line and Circle Generation Line generation - DDA and Bresenham's algorithm, Thick line segments, Antialising of lines, Circle generation - DDA and Bresenham's algorithm, Character generation : Stroke principle, Starburst principle, Bit map method. Polygons Types, Representations, Entering Polygons, Polygon filling : Seed fill, Edge fill, Scan conversion algorithm. Scan conversion : Real time scan conversion, Solid area scan conversion, Run length encoding, Cell encoding. Segments Concepts, Segment table, Segment creation, Deletion, Renaming, Image transformation. 3D Geometry 2D transformations primitives and concepts - Translation, Rotation, Rotation about an arbitrary points, Scaling and shearing, 3D transformations, Rotation about an arbitrary axis, 3D viewing transformations, Concept of parallel and perspective projections, Viewing parameters, 3D clipping, Mid-point subdivision algorithm. Windowing and Clipping Viewing transformation, 2D clipping, Sutherland-Cohen, Subdivision line clipping algorithm, Midpoint subdivision algorithm, Generalized clipping, Cyrus-Beck algorithm, Interior and exterior clipping , Polygon clipping, Sutherland-Hodgman algorithm. Hidden Surfaces and Lines Back-face removal algorithm, Hidden line methods, Z buffer, Warnock and painters algorithm, Floating horizon. Light, Color and Shading Diffused illumination, Point source illumination, Shading algorithm, Color models RGB, HVS, CYM etc., Shading algorithm, Eliminating back spaces, Transparency, Reflection and shadows. Curves and Fractals Curve generation, Interpolation, Interpolating algorithms, Interpolating polygons, B-splins and corners, Bezier curves, Fractals, Fractal surfaces and lines. Interactive Graphics Graphics standards, Graphics hardware, CRT display and controller, Interlaced and Non interlaced display, Vector scan and raster scan, Display adapter, VGA, SVGA, BIOS video support, Graphics device drivers, Display buffers, Study of graphics stations (practical aspects). Plotters, Digitizers, Scanners, Lightpen. Graphical User Interface Concepts of X-windows : Client-server model, Protocols, Message passing (only GUI related concepts), Motif - widget, Gadget, Structure, (only GUI concepts), Concepts of MS Windows. OpenGL : why 3d? why OpenGL? OpenGL and animation. Graphics Standard Graphics Kernel system with basic primitives. Graphics Applications Scientific & Engg. applications, Business application, Application concept in animation & simulation.
DOWNLOAD:
computer graphics by hearn and baker pdf ebook free download
E-Book Details:
Title: | Computer Graphics, C Version |
Publisher: | Pearson Education |
Author: | Donald Hearn,M.Pauline Baker |
Edition: | 2nd, illustrated 2008 |
Format: | PDF |
ISBN: | 817758765X |
EAN: | 9788177587654 |
No.ofPages: | 652 |
Book Description:
This timely new version of a popular computer graphics book features the C language in programming examples to demonstrate the implementation of graphics application. These well-known authors assume no prior knowledge of computer graphics when presenting the basic principles for the design, use, and understanding of computer graphics systems. However, some knowledge of C programming is assumed as the reader learns how to use algorithms for creating and manipulating graphics displays.
FEATURES:
* Reflecting the rapid expansion of the use of computer graphics and of C as a programming language of choice for implementation, this new version of the best-selling Hearn and Baker text converts all programming code into the C language. Assuming the reader has no prior familiarity with computer graphics, the authors present basic principles for design, use, and understanding of computer graphics systems. The authors are widely considered authorities in computer graphics, and are known for their accessible writing style.
Table of Contents:
COMPUTER GRAPHICS
UNIT I :
Introduction, Application areas of Computer Graphics, overview of graphics systems, video-display
devices, raster-scan systems, random scan systems, graphics monitors and work stations and input
devices(p.nos 22-90 of text book-1).
UNIT II :
Output primitives : Points and lines, line drawing algorithms, mid-point circle and ellipse algorithms.Filled area primitives: Scan line polygon fill algorithm, boundary-fill and flood-fill algorithms (p.nos 103-123,137-145,147-150,164-171 of text book-1, p.nos. 72-99 of text book-2).
UNIT III :
2-D geometrical transforms : Translation, scaling, rotation, reflection and shear transformations, matrix representations and homogeneous coordinates, composite transforms, transformations between coordinate systems. (p.nos 204-227 of text book-1).
UNIT IV :
2-D viewing : The viewing pipeline, viewing coordinate reference frame, window to view-port coordinate transformation, viewing functions, Cohen-Sutherland and Cyrus-beck line clipping algorithms, Sutherland –Hodgeman polygon clipping algorithm(p.nos 237-249,257-261 of text book -1, p.nos. 111-126 of text
book-2).
UNIT V :
3-D object representation : Polygon surfaces, quadric surfaces, spline representation, Hermite curve, Bezier curve and B-Spline curves, Bezier and B-Spline surfaces. Basic illumination models, polygon rendering methods. (p.nos 324-331,340-342, 347-364, 516-531, 542-546 of text book-1, p.nos 473-529,721-739 of text book-2).
UNIT VI :
3-D Geometric transformations : Translation, rotation, scaling, reflection and shear transformations,composite transformations.
3-D viewing : Viewing pipeline, viewing coordinates, view volume and general projection transforms and clipping (p.nos 427-443, 452-481 of text book -1).
UNIT VII :
Visible surface detection methods : Classification, back-face detection, depth-buffer, scan-line, depth sorting, BSP-tree methods, area sub-division and octree methods(p.nos 489-505 of text book -1, Chapter15 of of text book-2).
UNIT VIII :
Computer animation : Design of animation sequence, general computer animation functions, raster animation, computer animation languages, key frame systems, motion specifications. ( p.nos 604-616 of text book -1, chapter 21 of text book-2).
Design and Analysis of Algorithms ebook free download
E-Book Details:
Title: | Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson |
Publisher: | McGraw-Hill Osborne |
Author: | Thomas H. Cormen, Charles E. Leiserson |
Edition: | Second Edition |
EditionNumber: | 2 |
ISBN: | 0070131511 |
EAN: | 9780027263367 |
No. of Pages: | 984 |
Table of Contents:
The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects.
In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage.
As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudo code to make the book easily accessible to students from all programming language backgrounds . Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.
Publisher:
There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudo code designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage
The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.
In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage.
As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudo code to make the book easily accessible to students from all programming language backgrounds . Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.
Publisher:
There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudo code designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage
The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.
design concepts in programming languages ebook free download
E-Book Details:
Title: | Design Concepts in Programming Languages |
Publisher: | Phi Learning & MIT press |
Author: | Franklyn A. Turbak & David K. Gifford |
Edition: | Paperback,2nd |
EditionNumber: | 2 |
ISBN: | 8120339967 |
EAN: | 978-0-262-20175-9 |
No. of Pages: | 1347 |
Table of Contents:
The book presents a set of tools (a mathematical met language, abstract syntax, operational and denotation semantics) and uses it to explore a comprehensive set of programming language design dimensions, including dynamic semantics (naming, state, control, data), static semantics (types, type reconstruction, polymorphism, effects), and pragmatics (compilation, garbage collection). The many examples and exercises offer students opportunities to apply the foundational ideas explained in the text. Specialized topics and code that implements many of the algorithms and compilation methods in the book can be found on the book's Web site, along with such additional material as a section on concurrency and proofs of the theorems in the text. The book is suitable as a text for an introductory graduate or advanced undergraduate programming languages course.
About the Authors:
Franklyn A. Turbak is an Associate Professor in the Computer Science Department at Wellesley College.
David K. Gifford is Professor of Computer Science and Engineering at MIT.
About the Authors:
Franklyn A. Turbak is an Associate Professor in the Computer Science Department at Wellesley College.
David K. Gifford is Professor of Computer Science and Engineering at MIT.
Table of Contents:
UNIT I :
UNIT I :
Introduction: Algorithm,Psuedo code for expressing algorithms,Performance Analysis-Space complexity,
Time complexity, Asymptotic Notation- Big oh notation, Omega notation, Theta notation and Little oh
notation,Probabilistic analysis, Amortized analysis.
UNIT II :
Disjoint Sets- disjoint set operations, union and find algorithms, spanning trees, connected components
and biconnected components.
UNIT III :
Divide and conquer: General method , applications-Binary search, Quick sort, Merge sort, Strassen’s
matrix multiplication.
UNIT IV :
Greedy method: General method, applications-Job sequencing with dead lines, 0/1 knapsack problem,
Minimum cost spanning trees, Single source shortest path problem.
UNIT V :
Dynamic Programming: General method, applications-Matrix chain multiplication, Optimal binary search
trees, 0/1 knapsack problem, All pairs shortest path problem,Travelling sales person problem, Reliability
design.
UNIT VI :
Backtracking: General method, applications-n-queen problem, sum of subsets problem, graph coloring,
Hamiltonian cycles.
UNIT VII :
Branch and Bound: General method, applications - Travelling sales person problem,0/1 knapsack
problem- LC Branch and Bound solution, FIFO Branch and Bound solution.
UNIT VIII :
NP-Hard and NP-Complete problems: Basic concepts, non deterministic algorithms, NP - Hard and
NPComplete classes, Cook’s theorem.
introduction to automata theory languages and computation by hopcroft and ullman pdf ebook free download
E-Book Details:
Title: | Introduction to Automata Theory, Languages, and Computation, 2/E |
Publisher: | Addison Wesley; |
Author: | John E. Hopcroft,Rajeev Motwani,Jeffrey D. Ullman |
Edition: | 2 edition (November 24, 2000) |
Format: | PDF |
ISBN: | 0201441241 |
EAN: | 978-0201441246 |
No.ofPages: | 521 |
Book Description:
It has been more than 20 years since this classic book on formal languages, automata theory, and computational complexity was first published. With this long-awaited revision, the authors continue to present the theory in a concise and straightforward manner, now with an eye out for the practical applications. They have revised this book to make it more accessible to today's students, including the addition of more material on writing proofs, more figures and pictures to convey ideas, side-boxes to highlight other interesting material, and a less formal writing style. Exercises at the end of each chapter, including some new, easier exercises, help readers confirm and enhance their understanding of the material.
Table of Contents:
The purpose of this course is to acquaint the student with an overview of the theoretical foundations
of computer science from the perspective of formal languages.
• Classify machines by their power to recognize languages.
• Employ finite state machines to solve problems in computing.
• Explain deterministic and non-deterministic machines.
• Comprehend the hierarchy of problems arising in the computer sciences.
UNIT I :
Fundamentals : Strings, Alphabet, Language, Operations, Finite state machine, definitions, finite
automaton model, acceptance of strings, and languages, deterministic finite automaton and non
deterministic finite automaton, transition diagrams and Language recognizers.
UNIT II :
Finite Automata : NFA with Î transitions - Significance, acceptance of languages. Conversions and
Equivalence : Equivalence between NFA with and without Î transitions, NFA to DFA conversion,
minimisation of FSM, equivalence between two FSM’s, Finite Automata with output- Moore and Melay
machines.
UNIT III :
Regular Languages : Regular sets, regular expressions, identity rules, Constructing finite Automata for a
given regular expressions, Conversion of Finite Automata to Regular expressions. Pumping lemma of
regular sets, closure properties of regular sets (proofs not required).
UNIT IV :
Grammar Formalism : Regular grammars-right linear and left linear grammars, equivalence between
regular linear grammar and FA, inter conversion, Context free grammar, derivation trees, sentential forms.Right most and leftmost derivation of strings.
UNIT V :
Context Free Grammars : Ambiguity in context free grammars. Minimisation of Context Free Grammars.Chomsky normal form, Greiback normal form, Pumping Lemma for Context Free Languages. Enumeration of properties of CFL (proofs omitted).
UNIT VI :
Push Down Automata : Push down automata, definition, model, acceptance of CFL, Acceptance by final state and acceptance by empty state and its equivalence. Equivalence of CFL and PDA, interconversion.(Proofs not required). Introduction to DCFL and DPDA.
UNIT VII :
Turing Machine : Turing Machine, definition, model, design of TM, Computable functions, recursively
enumerable languages. Church’s hypothesis, counter machine, types of Turing machines (proofs not
required).
UNIT VIII
Computability Theory : Chomsky hierarchy of languages, linear bounded automata and context sensitive language, LR(0) grammar, decidability of, problems, Universal Turing Machine, undecidability of posts. Correspondence problem, Turing reducibility, Definition of P and NP problems, NP complete and NP hard problems.Download:
software testing techniques by boris beizer ebook free download
E-Book Details:
Title: | Software Testing Techniques |
Publisher: | The Coriolis Group |
Author: | Boris Beizer |
Edition: | Paperback,2nd |
EditionNumber: | 2 |
ISBN: | 1850328803 |
EAN: | 978-0-262-22875-8 |
No. of Pages: | 1459 |
Table of Contents:
Every professional and commercial software development organization spends a great deal of time in the testing and validation of their software. The testing process, driven either by legal or financial requirements, can be expensive and may thwart the planned deployment of the application. Many studies indicate that the testing process can even take three times as long as the actual coding itself. Indeed, software development done under the ISO 9000 or FDA auspices can be extremely time intensive.
This book gives a lengthy and fairly comprehensive overview of software testing that emphasizes formal models for testing. In the introduction, the author gives a general overview of the testing process and the reasons and goals for testing. He carefully distinguishes between testing and debugging, and advocates these as separate activities. Testing according to the author is done to find bugs; whereas debugging is done to find the origin of the bugs and fix them. The author characterizes testing as either functional or structural. Functional testing treats the program from the user's point of view, with inputs given to the program, and then the outputs are checked for conformance to a specified reference. Structural testing examines how the program is implemented, in terms of programming style, design, etc. The notion of an oracle is defined as any program or process that specifies the expected outcome of a collection of tests. The author clearly identifies and characterizes the different types of tests that arise in development organizations, such as unit testing, regression testing, stress testing, and integration testing.
Table of Contents:
UNIT I :
Introduction : Purpose of testing, Dichotomies, model for testing, consequences of bugs, taxonomy of
bugs
UNIT II :
Flow graphs and Path testing : Basics concepts of path testing, predicates, path predicates and
achievable paths, path sensitizing, path instrumentation, application of path testing.
UNIT III :
Transaction Flow Testing : Transaction flows, transaction flow testing techniques. Dataflow testing:-
Basics of dataflow testing, strategies in dataflow testing, application of dataflow testing.
UNIT IV :
Domain Testing:-domains and paths, Nice & ugly domains, domain testing, domains and interfaces
testing, domain and interface testing, domains and testability.
UNIT V :
Paths, Path products and Regular expressions : Path products & path expression, reduction
procedure, applications, regular expressions & flow anomaly detection.
UNIT VI :
Logic Based Testing : Overview, decision tables, path expressions, kv charts, specifications.
UNIT VII :
State, State Graphs and Transition testing : State graphs, good & bad state graphs, state testing,
Testability tips.
UNIT VIII :
Graph Matrices and Application : Motivational overview, matrix of graph, relations, power of a matrix,
node reduction algorithm, building tools.
Usage of JMeter and Winrunner tools for functional / Regression testing, creation of test script for
unattended testing, synchronization of test case, Rapid testing, Performance testing of a data base
application and HTTP connection for website access.







Older Posts