Discrete model

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  • Mathematical modelling is the process of formulating an abstract model in terms of mathematical language to describe the complex behaviour of a real system. Mathematical models are quantitative models and often expressed in terms of ordinary differential equations and partial differential equations. Mathematical models can also be statistical models, fuzzy logic models and empirical relationships. In fact, any model description using mathematical language can be called a mathematical model.

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  • Mathematical Modeling I – preliminary is designed for undergraduate students. Two other followup books, Mathematical Modeling II – advanced and Mathematical Modeling III – case studies in biology, will be published. II and III will be designed for both graduate students and undergraduate students. All the three books are independent and useful for study and application of mathematical modeling in any discipline.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Almost Periodic Solutions of Prey-Predator Discrete Models with Delay

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Fixed Points in Discrete Models for Regulatory Genetic Networks

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Discrete Model for Color Naming

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  • Knowing that the plant parameters can vary within their lower and upper bounds, this parametric uncertainty is formulated as an additive perturbation in the transfer function matrix. It is important to note that the controller be designed with respect to worst case uncertainty for each λij. This can be achieved by performing an optimization procedure given by (61) for 200 frequencies. Here an element by element uncertainty bound model is used for the characterization of upper bound of the uncertainty matrix. Then wij , which satisfies (62) for each λij is given in matrix form as,...

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  • The modelling of mechanical systems provides engineers and students with the methods to model and understand mechanical systems by using both mathematical and computer-based tools. Written by an eminent authority in the field, this is the second of four volumes which provide engineers with a comprehensive resource on this cornerstone mechanical engineering subject. Dealing with continuous systems, this book covers solid mechanics, beams, plates and shells.

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  • The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in several areas of research and industry. As DWT provides both octavescale frequency and spatial timing of the analyzed signal, it is constantly used to solve and treat more and more advanced problems. The DWT algorithms were initially based on the compactly supported conjugate quadrature filters (CQFs). However, a drawback in CQFs is due to the nonlinear phase effects such as spatial dislocations in multi-scale analysis.

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  • Tham khảo sách 'modelling of mechanical systems structural elements francois axisa', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo sách 'modelling complex projects', tài chính - ngân hàng, ngân hàng - tín dụng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Single period market models are the most elementary market models. Only a single period is considered. The beginning of the period is usually denoted by the time t = 0 and the end of the period by time t = 1. At time t = 0 stock prices, bond prices,possibly prices of other financial assets or specific financial values are recorded and the financial agent can choose his investment, often a portfolio of stocks and bond. At time t = 1 prices are recorded again and the financial agent obtains a payoff corresponding to the value of his portfolio at time t = 1....

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  • Lecture "Advanced Econometrics (Part II) - Chapter 3: Discrete choice analysis - Binary outcome models" presentation of content: Discrete choice model, basic types of discrete values, the probability models, estimation and inference in binary choice model, binary choice models for panel data.

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  • With rapid advancements in computing power, computer modeling and simulations have become an important complement to experimentations in many areas of research as well as industrial applications. The Discrete Event Simulation (DES) method has received widespread attention and acceptance by both researchers and practitioners in recent years. The range of application of DES spans across many different disciplines and research fields.

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  • Tham khảo sách 'handbook on modelling for discrete optimization 10', kỹ thuật - công nghệ, tự động hoá phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Road traffic microsimulations based on the individual motion of all the involved vehicles are now recognized as an important tool to describe, understand, and manage road traffic. Cellular automata (CA) are very efficient way to implement vehicle motion. CA is a methodology that uses a discrete space to represent the state of each element of a domain, and this state can be changed according to a transition rule.

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  • A mathemalical model is presented that describes heat and moisture transfer during the holpressing of MDF. The model includes conduction of heat between the press platens and the central layer of the mattress, phase change of water from the adsorbed to the vapor state and the convective heat and mass transfer through the edges of the mattress. This approach results in a three-dimensional unsleady-state problem in which the properties of the wood fibers, water and the wood-water system are dependent on temperature, mattress moisture content and steam pressure.

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  • Lecture "Advanced Econometrics (Part II) - Chapter 4: Discrete choice analysis - Multinomial models" presentation of content: The multinomial logit model, conditional logit model, mixed logit mode, independence of irrelevant alternatives, nested logit model, multinomial probit model.

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  • Introduction to hydrodynamic modelling and granular dynamics The present text introduces hydrodynamic modelling principles in the context of batch wet granulation and coating systems and it reviews the latest achievements and proposals in the scientific literature in this field. The text concerns primarily the Eulerian and the Lagrangian modelling technique. In accordance with some of the latest published Ph.d. thesis in the field of hydrodynamics modelling, the Lagrangian technique is divided into a soft-particle and a hardsphere approach.

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  • What is the relationship between syntax, prosody and phonetics? This paper argues for a declarative constraint-based theory, in which each step in a derivation adds diverse constraints to a pool. Some of these describe well formed objects in the feature structure domain, in terms of both syntactic and prosodic features. Some characterise the relative prominence of constituents as a partial order over some discrete domain (playing the role of metrical grid). Some are simultaneous equations in the reals, whose solutions represent the pitch level of phonetic objects - high and low tones....

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  • Chapter 10: Hidden Markov Models Introduction; Discrete Markov processes; Hidden Markov models; Three basic problems of HMMs; Evaluation problem; Finding the state sequence; Learning model parameters.

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