Simulated examples

Xem 1-20 trên 94 kết quả Simulated examples
  • Tham khảo sách 'numerical simulations examples and applications in computational fluid dynamics_1', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'numerical simulations examples and applications in computational fluid dynamics_2', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • The Third Edition of CMOS Circuit Design, Layout, and Simulation continues to cover the practical design of both analog and digital integrated circuits, offering a vital, contemporary view of a wide range of analog/digital circuit blocks including: phase-locked-loops, delta-sigma sensing circuits, voltage/current references, op-amps, the design of data converters, and much more.

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  • This new and updated deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science, lattice gauge theory and protein folding. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. The next several chapters develop the importance sampling method, both for lattice models and for systems in continuum space....

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  • This is the fourth version of the book and this version now not only provides VHDL language coverage but design methodology information as well. This version will guide the reader through the process of creating a VHDL design, simulating the design, synthesizing the design, placing and routing the design, using VITAL simulation to verify the final result, and a new technique called At-Speed debugging that provides extremely fast design verification. The design example in this version has been updated to reflect the new focus on the design methodology....

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  • .This page intentionally left blank .Capital Budgeting This book explains the financial appraisal of capital budgeting projects. The coverage extends from the development of basic concepts, principles and techniques to the application of them in increasingly complex and real-world situations. Identification and estimation (including forecasting) of cash flows, project appraisal formulae and the application of net present value (NPV), internal rate of return (IRR) and other project evaluation criteria are illustrated with a variety of calculation examples.

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  • Scientists often have the feeling that, through their work, they are learning about some aspect of themselves. Physicists see this connection in their work; so do, for example, psychologists and chemists. In the study of robotics, the connection between the field of study and ourselves is unusually obvious. And, unlike a science that seeks only to analyze, robotics as currently pursued takes the engineering bent toward synthesis. Perhaps it is for these reasons that the field fascinates so many of us.

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  • Antonio’s first big mistake in The Merchant of Venice was to bet his whole fortune on a fleet of ships; his second was to borrow 3,000 ducats from a single source. The first rule of risk management is to identify your risk. The second is to diversify it. Antonio broke the second rule, and his creditor Shylock flunked the first. He found he could not take his pound of Antonio’s flesh without shedding “one drop of Christian blood”: blood had not been specified as part of the bargain.

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  • Various efficient VHDL behavioural modelling language constructs are available to generate stimulus to test a VHDL model, e.g., • for loop • defining stimulus array & indexing the array to apply stimulus • reading stimulus data directly from a file Messages can also be added to testbench Remember that this type of testbench / behavioural VHDL code is not intended for logic synthesis, and normally cannot be synthesised ! Refer to muxAndDecEx1 lab files muxAndDecEx1_TB.vhd for these examples of testbench coding...

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  • However, in 2009, about 15% of world corn production is converted into ethanol fuel. More subtle example occurs when a inedible biomass as energy source, but its production still compete with food supply chain. Recent world food price increases, especially in 2008 has been blamed a classification of food crops towards biofuels production.

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  • The justification for choosing this typing scheme is scalability. In other sys- tems, such as one finds for example in the Java Distributed Event Specifica- tion [SunMicrosystems 1998] andCORBANotification Service [ObjectManage- ment Group 1998b], a notification is a value of some named, explicit notification type. This implies a global authority formanaging and verifying the type space, something which is clearly not feasible at an Internet scale. On the other hand, we define a restricted set of attribute types from which to construct (arbitrary) notifications.

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  • Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT).

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  • This book will interest researchers, scientists, engineers and graduate students in many disciplines, who make use of mathematical modeling and computer simulation. Although it represents only a small sample of the research activity on numerical simulations, the book will certainly serve as a valuable tool for researchers interested in getting involved in this multidisciplinary field. It will be useful to encourage further experimental and theoretical researches in the above mentioned areas of numerical simulation...

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  • This book is intended to introduce the reader to examples of the range of practical problems posed by "Global Warming". It includes 11 chapters split into 5 sections. Section 1 outlines the recent changes in the Indian Monsoon, the importance of greenhouse gases to life, and the relative importance of changes in solar radiation in causing the changes.

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  • Physical theories allow us to make predictions: given a complete description of a physical system, we can predict the outcome of some measurements. This problem of predicting the result of measurements is called the modelization problem, the simulation problem, or the forward problem. The inverse problem consists of using the actual result of some measurements to infer the values of the parameters that characterize the system. While the forward problemhas (in deterministic physics) a unique solution, the inverse problem does not.

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  • Female infertility is most often caused by problems with ovulation (40%) or fallopian tubes (40%). Other possible causes include endometriosis, in which the uterine lining grows outside the uterus, premature ovarian failure, in which a woman’s ovaries stop functioning before she reaches the age of forty, and uterine fibroids. Women who were exposed in the womb to diethylstilbestrol (DES), a synthetic estrogen prescribed to women from 1938-1971, have had an increased risk of infertility. Sexually transmitted infections (STIs) also play a major role in infertility.

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  • Suppose that you've nally made your model as simple as possible. At this point your model is probably too simple to be of much interest: it's likely just an example or a special case. But if you have made your model as simple as possible, it will now be much easier to see how to generalize it since you know what the key pieces are that make the model work. Here is where your education can be helpful. At last you can use all those techniques you learned in graduate school. Most of the time you were a student you probably stud- ied various canonical models: things...

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  • Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp quốc tế đề tài: Choosing simplified mixed models for simulations when data have a complex hierarchical organization. An example with some basic properties in Sessile oak wood (Quercus petraea Liebl.)...

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  • Among funds, there are substantial differences in risk-return profiles, investment horizons, asset allocation, eligible instruments, risk tolerances, and constraints. 19 Because each fund is different and has varying goals and objectives, it is difficult to generalize about the investment strategies of SWFs as a class. For example, an oil-exporting economy may initially establish a SWF for stabilization purposes.

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  • It is often said that computers are revolutionizing science and engineering. By using computers we are able to construct complex engineering designs such as space shuttles. We are able to compute the properties of the universe as it was fractions of a second after the big bang. Our ambitions are ever-increasing. We want to create even more complex designs such as better spaceships, cars, medicines, computerized cellular phone systems, and the like. We want to understand deeper aspects of nature. These are just a few examples of computer-supported modeling and simulation.

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