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ukraine-europe.info: COMPUTER-ORIENTED NUMERICAL METHODS, Third Edition eBook: V. RAJARAMAN: Kindle Store. V Rajaraman Computer Oriented Numerical Methods - Download as PDF File ukraine-europe.infoinistic co ntext-free languages:restrictions of pushdown automata. Methods. Rajaraman, V. Published by Prentice-Hall of Download Computer Oriented Numerical Methods Rajaraman Pdf Download computer oriented numerical methods or read online books in PDF, EPUB, Tuebl, and.
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. Would you like to tell us about a lower price? This book is a concise presentation of the basic concepts used in evolving numerical methods with special emphasis on developing computational algorithms for solving problems in algebra and calculus on a computer. It provides coverage of iterative methods for solving algebraic and transcendental equations, direct and iterative methods of solving simultaneous algebraic equations, numerical methods for differentiation and integration, and solution of ordinary differential equations with initial conditions. The formulation of algorithms is illustrated with a number of solved examples and an algorithmic language based on English and similar to PASCAL is used to express the logic of the numerical procedures.
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Write a customer review. There's a problem loading this menu right now. Learn more about Amazon Prime. Get fast, free shipping with Amazon Prime. Back to top. Get to Know Us. Amazon Payment Products. English Choose a language for shopping. Enhanced Typesetting: Page Flip: Not Enabled Word Wise: MCA1 Elastic lines. Graphical data structures compressed incremental list. High-speed drawing. Software tools. Graphic Languages: Primitives constants. The art of software testing.
Assignment and travelling salesment problems. Introduction to operation research. Wire-frame perspective display. Probability and statistics. Transparent solids. Applicatio ns. Computer programing and problem solving. Operation Research. Dynamic programing. Deterministic and probabilistic dynamic programi ng. Integer programing introduction. Optimization Techniques Theory: GKS is to be used as the standard tea ching tool..
Fundamentals of Interactive Computer Graphics. A computer o. Plotting and geometric transformations.. Mathemqatical foundation of computer science. Hidden line and surface elimina tion. Linear programing: Mathematical model. Special types of linear programing problems. Binary linear pr ograming. Computer Graphics.. Queueing model: Specification and measure of queueing systems.
Revised simplex method. Structure o f basic queueing system-. Branch bound techniques. Definition and classification of stochastic pr ocesses. Transportation and assignm ent problem. Projective transformatuon. Linear programing. The four colour problem. Hamiltonian graph. Max-flow min-cut theorem. Components and Connectedness algorithms.
Recurrence relations. Net work flows. Counting of labeled trees: Cayley's theorem. Biparticle graph. Fundamental cut-sets. Eulerian graph. Harvey M. Detection of planarity. Nil Combinatories: Permutations and Combinations. Pedant vertices in a tree. Isomorphis m. Rooted binary trees. Paths and Circu its. Spanning trees. Spanning tree algorithm. Fund amental circuits. Thickness and crossings.
Properties of trees. Princioles of Operation research. Planner graph: Combinatorial and geometric duels. Combinatorics and Graph Theory Theory: Centre of a t ree. G enerating functions.
Poly a theory. Chromatic polynomial. Spanning trees of a weighted graph. Directed graphs and connectedness. Trave lling salesman problem. Chromatic number. Connectivity and separativity. Shortest Path Algorit hms. Directed graphs: Binary relations. Holde n Day Inc. Subgraphs and Union of graphs. Fleury's algorithm and Chinese postman problem. Counting methods. Polish method. Incidence and degree.: Introduction to operations Research.
Application of graphs in computer science. The six and five c olour theorems. Directed Trees. System Project 1 i. Introduction to graph theory. Project Work 50 Marks ii. Combinatorics and graph theory. Thomas lenganer: Combinitorial Algorithms for Integrated Circuit lay out. Vikas Pub. Martin Charles Golumlic: Algorithmic graph theory and perfect Graphs Academic Press. Douglas B. Introduction to Combinatorial Mathematics.
Modeling and Performance Measurement of Computer Sys tems. Academic Pr ess. Computer-aided Modeling and Simulation. Example of a computer system should be used for illustration and discussion purpo ses. Verification and validation modeling procedures.: Computer Simulation Application. System Simulation. Cost esti. Comparing model data with real system data.
Advanced Accounting Advance Accounting: Simulation process: Use of simulation. A brief introduction to important descr ete and continuous simulation languages. Differential and partial differential equation model. Cost -Vo lume -Profit Analysis. Discrete and continuous ion procedures.
Introduction to Simulation. Study and use of one language depending on the availability in detail. Simulation of a time sharing computer system.. Use of database and A. Linear programming Models for planning. Types of systems-continuous and de screte modeling process and definition of a model. Past and present of management accounting. Tata McGraw Hill 7. Expression control. Control bet ween statements. Effect of environment. Decentraliz ation. Output-based languages. Formal models in Budge ting and incentive contracts.
Sequence control.. Stages of translation. Cost analysis for pricing decisions Assign ing service department cost. Subprogram control. Data types and ob jects. Heinemann MCA1. Virtual computers and binding times syntactic elements. Artificial Intelligence. Joint posts. Programming Languages and Paradigms Attributes of a good language.
Measuring quality. Advanced Management Accounting 2. Arithmetic and non-arithmetic expressions. Logic programming languages: Data objects. Investment Centers: Return on Investment Executive Contracts and Bonus plans.
Exploring E-Commerce. Handl ing of accounting Softwares. Profit centers and Transfer Pricing. Accounting Theory and Practice Arnold. Programming languages: Design and Implementation. Justifying investments in new technology.
Accounting Theory. New technology for manufacturing opera tion: Procedural languages: Functional languages: Deborah L. New Y ork. Self explaining systems. Introduction to artificial intelligence: Problem Solving Methods in Artifici al Intelligence.
Pattern recognition structured description: Symbolic descripti on. Pattern Recognition and Scence analysis. Expert Systems. Academic Press. Semantic nets. Computers and Thoughts. Production rules. Shank's conceptual dependency. Computer Models of Thoughts and Language. MIT Press.. San Franncisco. Dan W. Domian oration. Horn's clauses. Minsky's frames. Semantic Information processing. Case-grammar theory. Knowledge re pregentation: Relatedness of MIS with the management activi ties.
Management functions and decision making. Object-Oriented Analysis and design: Grady Booch 4. Object-Oriented Models 4. Introduction 2. Do nald G Firesmith. Basic Concepts of Object-Oriented Design James J. Mellor Object Models: Leon Starr. States and State Changes 7. Principles of Object-Oriented Analysis and Design. Relationship among the diagrams James Martin. Booch's Object-Oriented Design How to build shlaer. Odell 2. Rules 9. Rumbaugh's Object-Oriented Modelling Techniques Object-Oriented Development.
Standards and Procedures. Categorizing objects 5. Evolution of Management Th rough Information System. Object Oriented Concepts 3. Business Data Processing.
V Rajaraman Computer Oriented Numerical Methods
Relationships among objects 6. USA 3. Decision support System. Prentice-Hall International. Building Decision Support system.
Designing Integrated Systems for the Office Environment. David and Olson: Conceptual found ation. A study of major financial. Rationale of Computer application. Applied Decision Support.
Structure and Development. Structured Analysis and Design of Information System. Prentice-Hall Indi a. McGraw-Hill Book Comp. Addision-Wesley Publ.. Information Systems for Mo dern Management. Spargue and Watson: Prentice-Hall India. McGraw-Hill Book Co mpany. Prentice -Hall International Paperback Edition.
Design and Impementation of Information System. Analysis and Design of Information System. Advanced MIS. Management Information system. Frequency domain enhancement. Image Segmentation: Detection of discontinuities. Multimedia data storage. Threshol ding Representations and Descriptions: Chain codes. McCarty T. Multimedia applications. Digital Image Fundamentals: Sampling and quantization. Image Compression: Image compression models. Error-free compression. Colour image processing.
Current trends. Geometric transforms. Image Restoration: Unconstrained and constraint restoring inverse filtering.
Wiener Filter. Elements of digital Image processing systems. Image compression standards. Synchronization and control techniques. K Jain: Lossy compression. John Wiley. Image Enhancement: Enhancement by point processing.
Multimedia Communications. Image transforms: Playback systems. Image geometry. Fundamentals of Digital Image Processing: Mult imedia data compression. Image Processing Introduction: Digital Image representation: Fundamental steps in Image p rocessing.
Addison — Wes ley pub. Multimedia file systems. Multi Media Systems Concept of multimedia information. Distributed multimedia system s. Digital Image Processing: Classification operation.
DM Techn iques. Association R ole with item constraints 4. A Priori algorithm. Case studies. Backpropagation training algorithm. Designation trees 6.
Training of Kohonen layer and the Grossberg layer. Warehouse schema. Multimedia Systems Design. Web contents mining. Data Mining 2. Data warehousing: Multidimensional Data model. Bidirectional Associative Memories Adaptive Resonance theory: Web structure. Pincer search algorithm. Hopfield Nets: Recurrent Network Configuration and its application.
Data warehouse Backend p rocess. Association Rules: Methods to discover Association Rule.
Rough sets support Vector machines 7. Data ware housing in the real world. Dynamic Item set counting algorithm. Linear Separability. Data Mining: Temporal and spatial data mining Reference: Other Techniques. A Poojari Data Mining Techniques. Generic algorithm. FP-tre e growth algorithm. Border algorithm. Clustering Techniques 5. Data warehousing architecture. US date mining. University Press MCA DM applications. Partition algori thm. Web Mining. DM using Neural Network: A Case study.
Andleigh P. Incremental algorithm. Data warehousing and Mining 1. OLAP operations. Artificial Neural Networks 4. Optical Neural Networks: Vector matrix multiplier. Evolution of CIM. Valluru Rao: First orde r logic. Raju e International Pub. New Ag MCA Stamatios Kartalopoulus: Understanding Neural Networks. File supports, access methods, allocation methods - contiguous, linked and index allocation; Directory systems - sing le level, tree structured, acyclic graph and general graph directory, file prot ection, layered file system.
Resource Protection: Concurrent Process and Programming: Precedence graph, Bernstein conditio n, process hierarchy, process synchronization critical section and mutual exclusion, classical process co-ordination problems, critical regi on, monitors, concurrent languages.
Regular Languages: Regular sets and regular expression, Determi nistic and non-deterministic finite automata, equivalence of deterministic and non-deterministic finite acceptors,Kleene's characterization theory f or sets accepted by finite automata; Derivatives of regular expressi ons; two-way finite automata; Finite automata,finite-state machines and their relations to combinatorial switching circuits, complexity; Regul ar sets; State equivalence and state minimization of finite automata; alg ebra decomposition and structure theory; Generalization sequential mac hines.
Structured formal languages: Chomsky and Greibach normal form th eorems,self-embedding, ambiguity; Equivalence of context- free languages and sets accepted by non-deterministic pushdown store automata; Closure properties of context-free languages; Top-down and bottomup methods; Deterministic pushdown automata andparsing,deterministic co ntext-free languages: Deterministic parsing of Context-free Languages: Shift- reduce p arsing ,top-down,LR K grammars; Precedence grammars, simple prec edence,operator precedence, weak and mixed strategy precedence; Bo unded-context grammars; relationship between deterministic contextfree languages.
Recursive Languages: Multitape Turing machines and related formalis m for recognition; Unsolvability of halting problem, reduction of Post correspondence problem to the halting problem, Undecidable properti es of grammars. Compiler construction: Theory and Practice, Galgotia Publications 9. Compiler construction and Design: Rajni Jindal Matthew Simon: Automata theory. Theoretical model of communication; Analog and Digital signal; Fourier analysis, bandwidth, channel, bau drate of transmission; Modulation and demodulation; Mul tiplexing-FDM, TDM; Transmission medium; Transmission err or - error detection a correction; Transmission line couplin g; Synchronous Asynchronous transmission.
Switching Mechanism: Macmil 3. Leon Garcia Widjaja: Software development and life cycl e; Project size and its catagories; planning a software project; project-control and project-team standardds; Design of solution strate gies; software cost estimation and evalution techniques.
Software De sign: Various design concepts and notations; Modern design techniques; Verification and validation methods;Documentation and impleme ntation procedures; Performance of software systems; Software metrics and mod els. Documentation of project-systems,manuals and implementation. Software Reliability: Modern Programming language features Relevant to sof tware Engineering: Software Engineering concepts,McGrawHill Software Engineering, McGraw Hill, Software tools,Aaddision-Wesley, 6.
The art of software testing, Wiley-Interscience, Programming Lab-IV 1. MCA1 , Computer Graphics. Overview of Computer Graphics: Display Devices: Line and point plotting systems; Raster, vector, pixel and point plotters, Continual refresh and storage displays, Digi tal frame buffer, plasma panel Displays, Very high resolution devices, High-speed drawing, Display processors, Character generators, Col our-display techniques. Screen co-ordinates, user co- ordinates;Graphical data structures compressed incremental list,vector list, use of homogeneous co -ordinates ; Display code generation; Graphical functions; The v iew algorithm, Two- dimensional transformation.
Interactive Graphics: Pointing and positioning devices cursor, lightpen, d igitizing tablet, the mouse, tract balls ,Interactive graphical techniques ; Positioning, Elastic lines, inking, Zooming,Panning, Clipping, Windowing,Scissoring. Graphic Languages: Primitives constants, actions, operators,vari ables , Plotting and geometric transformations, display subroutines.
Wire-frame perspective display, perspective dept h,Projective transformatuon, Hidden line and surface elimina tion, Transparent solids, Shading, GKS is to be used as the standard tea ching tool. Optimization Techniques Theory: Exam - 75 Sessionals - 25 Prerequisite: Probability and statistics, Mathemqatical foundation of computer science, Computer programing and problem solving. Linear programing: Mathematical model, assumptions of linear p rograming, principles of simplex method, Revised simplex method, Applicatio ns, duality, dual simplex method, sensitivity analysis.
Special types of linear programing problems, Transportation and assignm ent problem. Integer programing introduction, Branch bound techniques, Binary linear pr ograming, Assignment and travelling salesment problems. Dynamic programing, Deterministic and probabilistic dynamic programi ng. Queueing model: Specification and measure of queueing systems, Structure o f basic queueing system-- Definition and classification of stochastic pr ocesses, descret-time markov chains, continuous markov chains, birth-dea th processes.
Introduction to operation research - A computer o riented algorithmic aproch, McGrawHill. Linear programing, East-west, New Delhi. Introduction to operations Research, Holde n Day Inc. Harvey M. Combinatorics and Graph Theory Theory: Exam - 75 Sessional - 25 Prerequisite: Nil Combinatories: Incidence and degree; Handshaking Lemma; Isomorphis m; Subgraphs and Union of graphs; Connectedness; Walks, Paths and Circu its; Components and Connectedness algorithms; Shortest Path Algorit hms, Eulerian graph, Fleury's algorithm and Chinese postman problem; Hamiltonian graph - necessary and sufficient conditions; Trave lling salesman problem; Biparticle graph.
Properties of trees; Pedant vertices in a tree; Centre of a t ree; Rooted binary trees; Spanning trees - Spanning tree algorithm; Fund amental circuits; Spanning trees of a weighted graph; cut-sets and cut-vertices; Fundamental cut-sets; Connectivity and separativity; Net work flows; Max-flow min-cut theorem.
Planner graph: Combinatorial and geometric duels; kuratowski's ph; Detection of planarity; Thickness and crossings. Incidence; Adjacency; matrices and th eir properties. Chromatic number; Chromatic polynomial; The six and five c olour theorems; The four colour problem. Directed graphs: Counting of labeled trees: Cayley's theorem; Counting methods; Poly a theory. Application of graphs in computer science. Deo, N. Liu, C. Douglas B. Introduction to graph theory, PHI.
Combinatorics and graph theory, Vikas Pub. Martin Charles Golumlic: Algorithmic graph theory and perfect Graphs Academic Press.
V Rajaraman Computer Oriented Numerical Methods - Free Download PDF
Thomas lenganer: System Project 1 i. Project Work 50 Marks ii. Types of systems-continuous and de screte modeling process and definition of a model; computer workload and preparation of its models; Verification and validation modeling procedures; Comparing model data with real system data ; Differential and partial differential equation model; combining descrete event and continuous model, Example of a computer system should be used for illustration and discussion purpo ses.
Simulation process: Use of simulation; Discrete and continuous ion procedures; Simulation of a time sharing computer system. A brief introduction to important descr ete and continuous simulation languages; Study and use of one language depending on the availability in detail.
Use of database and A. Introduction to Simulation, McGraw-Hill, System Simulation , Prentice Hall, Computer Simulation Application, Wiley , Advanced Accounting Advance Accounting: Cost -Vo lume -Profit Analysis.
Linear programming Models for planning. Cost esti mation and regression analysis.
Cost analysis for pricing decisions Assign ing service department cost. Joint posts. Sales ,profitability and product ivity variances. Measuring quality. New technology for manufacturing opera tion: Justifying investments in new technology. Decentraliz ation. Profit centers and Transfer Pricing. Investment Centers: Return on Investment Executive Contracts and Bonus plans. Formal models in Budge ting and incentive contracts.
Handl ing of accounting Softwares. Advanced Management Accounting 2. Deborah L. Porwal , L. Clautier, M. Programming Languages and Paradigms Attributes of a good language; Effect of environment; Virtual computers and binding times syntactic elements; Stages of translation; Data types and ob jects. Expression control; Arithmetic and non-arithmetic expressions. Control bet ween statements. Subprogram control; Sequence control, data control and st ored data.
Procedural languages: Data objects, sequence control, subprograms and st orage management. Output-based languages; Data objects, sequence control, subprograms and s torage management, abstraction and encapsulation.
Functional languages: Logic programming languages: Data objects, sequence control, subprogram s and storage management. Design and Implementation, 3 rd Edn. Artificial Intelligence Introduction to artificial intelligence: Knowledge re pregentation: Symbolic descripti on, machin perception , line finding , interpretation , semantic and models ,object identification , speech recognition. DUDA, R. Dan W. Introduction 2. Object Oriented Concepts 3.
Object-Oriented Models 4. Categorizing objects 5. Relationships among objects 6. States and State Changes 7. Events, Triggers, and Operations 8. Rules 9. Relationship among the diagrams Basic Concepts of Object-Oriented Design Booch's Object-Oriented Design Rumbaugh's Object-Oriented Modelling Techniques Odell 2.
USA 3. Object-Oriented Analysis and design: Grady Booch 4. How to build shlaer - Mellor Object Models: Leon Starr. Rumbaugh, etal. Relatedness of MIS with the management activi ties, Management functions and decision making. A study of major financial, production, manpower and making MIS. Rationale of Computer application. Murdick, R. Information Systems for Mo dern Management, 3rd Edn. Prentice-Hall India, Thomas, R. Wigarders, K.
Spargue and Watson: Decision support System, 2nd Edn. Kanter, J. Management Information system, 3rd Edn. Bennett, J. McGraw-Hill Book Comp.
David and Olson: Image Processing Introduction: Digital Image representation: Fundamental steps in Image p rocessing, Elements of digital Image processing systems. Digital Image Fundamentals:
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