Название: Modeling in Mathematics
Автор: Olga Moreira
Издательство: Arcler Press
Год: 2020
Страниц: 366
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model with fuzzy entropy under linear restrictions, a hybrid approach of stepwise regression, logistic regression, support vector machine, and decision tree for forecasting fraudulent financial statements, dynamical analysis in explicit continuous iteration algorithm and its applications, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis and using artificial neural networks to predict direct solar irradiationю

Название: Optimal Enterprise: Structures, Processes and Mathematics of Knowledge, Technology and Human Capital
Автор: Mikhail V. Belov, Dmitry A. Novikov
Издательство: CRC Press
Год: 2021
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB

In the modern world, most gross product is created within Enterprise firms, project programs, state agencies, transnational corporations and their divisions, as well as various associations and compositions of the above entities. Enterprises, being, on the one hand, complex, and, on the other hand, widespread systems, are the subject matter of cybernetics, system theory, operations research, management sciences and many other fields of knowledge.

Название: Model Order Reduction: Volume 3 Applications
Автор: Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni
Издательство: De Gruyter
Год: 2021
Страниц: 474
Язык: английский
Формат: pdf (true), epub
Размер: 78.4 MB

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

Название: Electromagnetic Diffraction Modeling and Simulation With Matlab
Автор: Gokhan Apaydin, Levent Sevgi
Издательство: Artech House
Год: 2021
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

This exciting new resource presents a comprehensive introduction to the fundamentals of diffraction of two-dimensional canonical structures, including wedge, strip, and triangular cylinder with different boundary conditions. Maxwell equations are discussed, along with wave equation and scattered, diffracted and fringe fields. Geometric optics, as well as the geometric theory of diffraction are explained. With MATLAB scripts included for several well-known electromagnetic diffraction problems, this book discusses diffraction fundamentals of two-dimensional structures with different boundary conditions and analytical numerical methods that are used to show diffraction.

Название: An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks
Автор: Karthik Raman
Издательство: Chapman and Hall/CRC
Год: 2021
Страниц: 359
Язык: английский
Формат: pdf (true)
Размер: 25.7 MB

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks - a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. The only pre-requisite for this text is a familiarity with a high-level programming language aside from an intellectual curiosity towards how mathematical and computational approaches aid in understanding biology. An engineering mathematics background will be advantageous but not strictly necessary.

Название: Systems with Non-Smooth Inputs: Mathematical Models of Hysteresis Phenomena, Biological Systems, and Electric Circuits
Автор: Jurgen Appell, Nguyen Thi Hien, Lyubov Petrova, Irina Pryadko
Издательство: De Gruyter
Год: 2021
Страниц: 288
Язык: английский
Формат: pdf (true), epub
Размер: 31.1 MB

The authors present a completely new and highly application-oriented field of nonlinear analysis. The work covers the theory of non-smooth input-output systems and presents various methods to non-standard applications in mathematics and physics. A particular focus lies on hysteresis and relay phenomena, electric circuits with diode nonlinearities, and biological systems with constraints.

Название: Hardware-Aware Probabilistic Machine Learning Models
Автор: Laura Isabel Galindez Olascoaga, Wannes Meert
Издательство: Springer
Год: 2021
Страниц: 170
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally. The book first motivates extreme-edge computing in the context of the Internet of Things (IoT) paradigm. Then, it briefly reviews the steps involved in the execution of a machine learning task and identifies the implications associated with implementing this type of workload in resource-constrained devices. The core of this book focuses on augmenting and exploiting the properties of Bayesian Networks and Probabilistic Circuits in order to endow them with hardware-awareness.

Название: Aircraft Aerodynamic Design with Computational Software
Автор: Arthur Rizzi, Jesper Oppelstrup
Издательство: Cambridge University Press
Год: 2021
Страниц: 465
Язык: английский
Формат: epub
Размер: 11.9 MB

This modern text presents aerodynamic design of aircraft with realistic applications, using computational fluid dynamics (CFD) software and guidance on its use. Tutorials, exercises, and mini-projects provided involve design of real aircraft, ranging from straight to swept to slender wings, from low speed to supersonic. Supported by online resources and supplements, this toolkit covers topics such as shape optimization to minimize drag and collaborative designing. Prepares seniors and first-year graduate students for design and analysis tasks in aerospace companies. In addition, it is a valuable resource for practicing engineers, aircraft designers, and entrepreneurial consultants.

Название: Peridynamic Modeling, Numerical Techniques, and Applications
Автор: Erkan Oterkus, Selda Oterkus
Издательство: Elsevier
Год: 2021
Страниц: 438
Язык: английский
Формат: pdf (true)
Размер: 33.1 MB

This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more.

Название: Детерминированные математические модели
Автор: Масловская А.Г.
Издательство: Амурский государственный университет
Год: 2020
Язык: русский
Формат: pdf
Размер: 10.28 MB

В учебно-методическом пособии представлены подходы к реализации детерминированных математических моделей, формализуемых с помощью алгебраических уравнений, обыкновенных дифференциальных уравнений и уравнений с частными производными. Приводятся теоретические основы детерминированного моделирования, излагаются методы и алгоритмы решения прикладных задач в указанных постановках, освещаются практические аспекты реализации моделей с использованием инструментария пакета прикладных программ Matlab.