Computational

Computational Mathematics Coaching & Tuition Classes In Delhi-NCR Join Best BTech Coaching & Tuition Classes For Electronic Engineering, Electrical Engineering, Mechanical Engineering, Computer Science and Civil Engineering For All Subjects. Set Theory: Set and subsets, Empty set and power set, Equality of sets, operations on sets Cartesian Product of sets, Relations,Domain and Range of a Relation, Equivalence relation, Equivalence classes, Functions, Special type of Functions (Injective, Surjective and Bijective), Identity function, composite Functions, Invertible Functions, Groups, Semi Group and Monoid, Subgroup, More characterizations of a Group, Rings, Some Special classes of Ring, Subring, Algebra of Subrings, Ideals and quotient rings, Properties of integral domains, Fields, Field of Fractions. Combinatories: Mathematical induction, Recurrence Relations, The Characteristic Polynomial, Generating Functions, The Principle of Inclusion-Exclusion, The Addition and Multiplication Rules, The Pigeon-Hole Principle, Permutations and Combinations. Mathematical Logic: Propositions, Connectives, Truth Table, Propositional Equivalence, Logical Equivalence, Tautologies, Predicates and Quantifiers, Negations. Linear Algebra: Characteristic Equations, Eigen Values and Eigen Vectors, Properties of Eigen Values, Cayley-Hamilton Theorem, Reduction to Diagonal form, Canonical forms. For More Details Contact 9650308924

Type Tutoring CFD analysis complements testing and experimentation by reducing total effort and cost required for experimentation and data acquisition It is used in all stages of the design process – Conceptual studies of new designs – Detailed product development – Troubleshooting – Redesign This training course covers the basics of using CFD for performing a range of analyses. It is intended for all new or occasional users COURSE CONTENTS 1. General understanding of the CFD process, and use of the interface 2. Setting up a CFD simulation (materials, boundary conditions etc.) 3. Ensuring flow accuracy 4. Accounting for Turbulence and Heat Transfer 5. Postprocessing COURSE OBJECTIVES 1. The basics of what CFD is and how it works 2. The different steps involved in a successful CFD Project 3. How to work with Tools

About Us | Shipping Policy | Restocking fees | Return Policy Author: Enrico Sabbioni Publisher: Wiley Release Date: 18/11/1998 Seller Category: -- Qty Available: 1 Condition: Brand New ISBN: 9780471965886 Title: Encyclopedia of Computational Chemistry, 5 Volume Set Notes: Ships Today. Free Shipping. Please note: You will have only one chance to make me an offer so please be reasonable while making offer. Checkout the lowest price available on internet and I might be able to match it. I will not give away book for almost free. Item is non-refundable if item is sold through best offer. If you use buy it now, item is refundable within 30 days. 24*7 Customer Service.

This book introduces the reader to the changing notions of the lexicon and dictionary-making, using a convergence of perspectives from computational linguistics, corpus linguistics, and computational lexicography/lexicology. The main issues include: the relation between lexicon and corpus; corpus-based lexical modelling of language; the computational storage of the lexicon. From this, the book constructs and applies a framework for lexicon-building to a case study. It also stresses the importance of the Internet and World Wide Web for dictionary research and study.

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Type Workshops Winter Training and Internship Program on CFD in association with Altair Engineering CFD at bangalore Dates: 17 Jan - 22 Jan, Fee: ₹ per participant Pay Now: Register by paying ₹ now and remaining amount has to be paid at the venue Course Introduction Computational Fluid Dynamics is the area of engineering that deals with the numerical simulation and analysis of fluid flows encountered by an engineer (mechanical, automobile, aeronautical, civil, environmental and so on) daily in multitude of circumstances. CFD is a very robust technique that finds wide applications in various industry sectors. There is an immense need for engineers, who understand and can apply the techniques of CFD to solve a variety of design, analysis and optimisation problems. This course on Basics of CFD certified by Altair Engineering is a peek into this highly demanding field and will be a door to the numerous opportunities for engineers. Course Highlights Part of the Altair - AerotriX CFD Challenge Industry Certification by Altair Engineering Free 1 year student licenses of CFD software by Altair Engineering for participants Hands-on experience with industry grade software to execute fundamental CFD projects Exposure to industry practices Introduction to latest trends in CFD Case studies from real industrial problems Mathematical modeling Live demonstration of solutions by trainers Post processing and validation of results Group Discussions to encourage innovation Good multimedia content to help participants grasp the material easily Career guidance by experienced faculty Useful for interview preparation Course Structure The course consists of the following modules: Introduction to CFD Structured procedure followed by industry for CFD analysis Review of engineering mathematics Basics of Fluid Dynamics Governing equations, Mathematical modeling & Numerical Techniques - Basics of FDM & FEM Grid generation Case studies based on industrial problems – Aerospace, Automobile, Mechanical, Civil, Solar Energy, etc. Introduction to AcuSolve Problem Definition, Simulation, Solution & Post Processing of Results for Industrial problems using AcuSolve Certification Industry Certification from Altair Engineering Certificate of Participation to all the participants With Online Examination Scores for those who qualify Without Online Examination Scores for those who do not qualify Certificate of Merit to top-performing participants The names of the winners will be put up on our participant-awards page permanently Kits AcuSolve software Software License Materials Provided: Reference material for CFD Guidelines on how to use software Who should attend? Anyone who is interested in learning CFD willing to take up projects in CFD working in CFD looking for a career in CFD applying for higher studies Instructions to Registered Participants: Participant should get their own Laptop with OS Requirement: Windows7, XP,Vista with bit version Altair Software will not work on Mac OS,Linux,Windows 8 Participants are requested to send their PC Physical Address to our Event Manger two days prior to the Event Date to avail Free Altair License. Contact Details Please feel free to contact us in case of any queries. Phone: Toll Free: Hrs), AM to 8PM) You can also request us to organize this workshop in your college Request workshop Any Questions?

In this application, we proposed a two layer of hiding data based approach to solve problem by delegating as much of the access control enforcement responsibilities as possible to the Server while minimizing the information exposure risks due to colluding Users and Server.A key problem in this regard is how to decompose ACPs so that the Router has to handle a minimum number of attribute conditions while hiding the content from the Server.New approach to conserving seclusion finegrained delegated access control to data in public Servers. Our approach is based on a Seclusion conserving attribute based key management scheme that protects the privacy of users while enforcing attribute based ACPs. As the experimental results show, decomposing the ACPs and utilizing the two layer of hiding data reduce the overhead at the Owner.We also plan to further reduce the computational cost by exploiting partial relationships among ACPs. contact for more information:

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Shape your future with IBM MAINFRAME at DUCAT Mainframes systems are used by all large companies around the globe as it can handle vast amounts of data with exceptional computational ability. IBM was the pioneer in mainframe systems and still the global leader. The demand for qualified mainframes professionals is continuously on the rise and the supply is limited. IBM MAINFRAME Course can be taken up by anybody with or without prior knowledge or experience in IT. Knowledge of computers is the only prerequisite. This course is chosen by people of varied profiles like those who are beginning their career, changing career path, wanting to learn new technologies and stay up to date or move up the career ladder. IBM MAINFRAME course at DUCAT is comprehensive and training intensive course that helps the students gain sound knowledge on the fundamentals, principles and techniques. They would be exposed to real time work environment in the form of live projects as well. The IBM Training courseware is designed by industry veterans and taught by our talented consultants. Apart from this the students get to interact with the technology experts who would give them insights on the actual application of the concepts in the developing applications. The well-structured DUCAT's IBM MAINFRAME Training course covers most popular IBM products/languages like MVS COBOL II, JCL, VSAM, CICS, DB2, FILE-AID etc. On successful completion of this exhaustive course students would placement assistance as well. http://www.ducatindia.com/ibmmainframetraining/

DSP projects at matlab project centres in Chennai Quad Quad is the best project centres in Chennai for matlab based digital signal processing. Here is an idea about digital signal processing technology to develop your final year project work. Digital signal processing (DSP) is the mathematical manipulation of an information signal to modify or improve it in some way. It is characterized by the representation of discrete time, discrete frequency, or other discrete domain signals by a sequence of numbers or symbols and the processing of these signals. The goal of DSP is usually to measure, filter and/or compress continuous real-world analog signals. The first step is usually to convert the signal from an analog to a digital form, by sampling and then digitizing it using an analog-to-digital converter (ADC), which turns the analog signal into a stream of numbers. However, often, the required output signal is another analog output signal, which requires a digital-to-analog converter (DAC). Even if this process is more complex than analog processing and has a discrete value range, the application of computational power to digital signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression. Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include: audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for communications, control of systems, biomedical signal processing, seismic data processing, etc. DSP algorithms have long been run on standard computers, as well as on specialized processors called digital signal processor and on purpose-built hardware such as application-specific integrated circuit (ASICs). Today there are additional technologies used for digital signal processing including more powerful general purpose microprocessors, field-programmable gate arrays(FPGAs), digital signal controllers mostly industrial application such as motor control and stream processors, among others. In DSP, engineers usually study digital signals in one of the following domains: time domain (one-dimensional signals), spatial domain (multidimensional signals), frequency domain, and wavelet domains. They choose the domain in which to process a signal by making an informed guess (or by trying different possibilities) as to which domain best represents the essential characteristics of the signal. A sequence of samples from a measuring device produces a time or spatial domain representation, whereas a discrete Fourier transform produces the frequency domain information, that is the frequency spectrum. Autocorrelation is defined as the cross-correlation of the signal with itself over varying intervals of time or space. Application The main applications of DSP are audio signal processing, audio compression, digital image processing, video compression, speech processing, speech recognition, RADAR, SONAR, digital communication. Seismology and biomedicine. Specific examples are speech compression and transmission in digital mobile phones, room correction of sound in hi-fi and sound reinforcement applications, weather forecasting, economic forecasting, seismic data processing, analysis and control of industrial processes, medical imaging such as CAT scans and MRI, MP3 compression, computer graphics, image manipulation, hi-fi loudspeaker and equalization, and audio effects for use with electric guitar amplifiers. Visit Quad with your paper to be implemented in matlab. We assist you with our best of knowledge to make you score more marks. We also deal with DSP projects DIP Projects Power Systems Projects Power Electronics Projects RF Antenna Projects Instrumentation project Civil related matlab projects Control Systems Projects, etc,… Experts form technologies like Java, J2ee, Dot Net, Mat Lab, NS2, VLSI, Embedded, Robotics, Android, PHP, Oracle, and Civil will be developing your projects. Ganga Quad Softwares, Old No.46/1, New No.122, Pillayar Koil Street, Pandurangan Colony, Vadapalani, Chennai-. Landmark: Near Vadapalani Murugan Temple Mobile No: Phone No: 044-

Big data presents a number of challenges relating to its complexity. � One challenge is how we can understand and use big data when it comes in an unstructured format, such as text or video. � Another challenge is how we can capture the most important data as it happens and deliver that to the right people in real-time. � A third challenge is how we can store the data, and how we can analyze and understand it given its size and our computational capacity. � And there are numerous other challenges, from privacy and security to access and deployment. At Admatic we believe in results. Nothing gives us more satisfaction than producing results that meet or exceed your expectations � whether it be in Data Warehouses (DW), Data Marts (DM), Business Intelligence (BI), BigData and Hadoop. This course is designed for IT professionals - developers, non-Hadoop engineers, managers & freshers to dive deeply into Hadoop Stack detailed design and hands-on exercises. After completion of this course, you will be able to design and implement BigData solutions to solve complex data problems. Hadoop training chennai, PoC Project, Certification, Chennai https://twitter.com/BigDataInfo Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) June - Fast Track (Classroom)- July Online Class- June

Big data presents a number of challenges relating to its complexity. � One challenge is how we can understand and use big data when it comes in an unstructured format, such as text or video. � Another challenge is how we can capture the most important data as it happens and deliver that to the right people in real-time. � A third challenge is how we can store the data, and how we can analyze and understand it given its size and our computational capacity. � And there are numerous other challenges, from privacy and security to access and deployment. At Admatic we believe in results. Nothing gives us more satisfaction than producing results that meet or exceed your expectations � whether it be in Data Warehouses (DW), Data Marts (DM), Business Intelligence (BI), BigData and Hadoop. This course is designed for IT professionals - developers, non-Hadoop engineers, managers & freshers to dive deeply into Hadoop Stack detailed design and hands-on exercises. After completion of this course, you will be able to design and implement BigData solutions to solve complex data problems. Hadoop training chennai, PoC Project, Certification, Chennai Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) June - Fast Track (Classroom)- July Online Class- June

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Shape your future with IBM MAINFRAME at DUCAT Mainframes systems are used by all large companies around the globe as it can handle vast amounts of data with exceptional computational ability. IBM was the pioneer in mainframe systems and still the global leader. The demand for qualified mainframes professionals is continuously on the rise and the supply is limited MAINFRAME Course can be taken up by anybody with or without prior knowledge or experience in IT.This page holds the course materials to assist the mainframe community with skills. Most of the materials are intended for use in a 6-week semester IT courseThe well-structured DUCAT's IBM MAINFRAME Training course covers most popular IBM products/languages like MVS COBOL II, JCL, VSAM, CICS, DB2, FILE-AID etc. On successful completion of this exhaustive course students would placement assistance as well.IBM MAINFRAME course at DUCAT is comprehensive and training intensive course that helps the students gain sound knowledge on the fundamentals, principles and techniques.

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Courses that study vectors and elementary matrix theory and introduce linear transformations have proliferated greatly in recent years. Most of these courses are taught at the undergraduate level as part of, or adjacent to, the second-year calculus sequence. Although many students will ultimately find the material in these courses more valuable than calculus, they often experience a class that consists mostly of learning to implement a series of computational algorithms. The objective of this text is to bring a different vision to this course, including many of the key elements called for in current mathematics-teaching reform efforts. Three of the main components of this current effort are the following: 1. Mathematical ideas should be introduced in meaningful contexts, with after a clear understanding formal definitions and procedures developed of practical situations has been achieved. 2. Every topic should be treated from different perspectives, including the numerical, geometric, and symbolic viewpoints. 3. The important ideas need to be visited repeatedly throughout the term, with students' understan9ing deepening each time. This text was written with these three objectives in mind. The first two chapters deal with situations requiring linear functions (at times, locally linear functions) or linear ideas in geometry for their understanding. These situations provide the context in which the formal mathematics is developed, and they are returned to with increasing sophistication throughout the text.

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This second edition is a comprehensive treatment of all straightforward aspects of Padé approximation, and the authors develop some themes to the level of current research. They extensively cover applications to statistical mechanics and critical phenomena, and there are newly extended sections devoted to circuit design, matrix Padé approximation, computational methods, and integral and algebraic approximants. The new edition also contains a chapter on multiseries approximants. The book contains an extensive bibliography of recent monographs on other specialized material. This succinct and straightforward treatment will appeal to scientists, engineers, and mathematicians alike.

This introduction to certain mathematical topics central to theoretical computer science treats computability and recursive functions, formal languages and automata, computational complexity, and cruptography. The presentation is essentially self-contained with detailed proofs of all statements provided. Although it begins with the basics, it proceeds to some of the most important recent developments in theoretical computer science.

For more than 40 years, the McGraw-Hill Encyclopedia of Science and Technology has been the first source readers around the world have turned to when starting research on any major scientific topic. With more than 7,000 articles written by leaders in their fields - including 30 Nobel Prize winners - the Encyclopedia is famed for the scope and quality of its content. Students, professionals researching areas outside their own specialties, "lifelong learners" - any reader with only modest background in the sciences - will benefit from the ease of access to information, the clarity of the text, and the 12,000 specially prepared illustrations. The new Ninth Edition carries on this tradition. Thoroughly updated, its 20 volumes contain 15,000+ pages and 7,100 articles, many new, rewritten, or revised. Using the 500 page analytical index, the topical index, or the Study Guides, readers will find the information they want on all the hottest areas of science and engineering: astronomy and space science; computational chemistry; environmental science; forensic science; information technology and communications; intelligent manufacturing; molecular biology and biotechnology; neuroscience; theoretical and applied physics, to name just a few. 61,000 cross references and 21,000 bibliography entries enable the reader to see the connections in the more than 90 disciplines covered and to continue their studies in greater depth.With the breathtaking pace at which science and technology are advancing, no science reference collection can afford to be without this latest edition of the McGraw-Hill Encyclopedia of Science and Technology.

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