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Engineering mathematics --- Data processing --- MATLAB --- Engineering mathematics - Data processing
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The fifth edition of Essential MATLAB for Engineers and Scientists provides a concise, balanced overview of MATLAB's functionality that facilitates independent learning, with coverage of both the fundamentals and applications. The essentials of MATLAB are illustrated throughout, featuring complete coverage of the software's windows and menus. Program design and algorithm development are presented clearly and intuitively, along with many examples from a wide range of familiar scientific and engineering areas. This is an ideal book for a first course on MATLAB or for an engine
Engineering mathematics --- Data processing --- Numerical analysis --- Data processing. --- MATLAB. --- MATLAB (Computer program) --- Matrix laboratory --- E-books --- MATLAB (Computer file) --- Engineering mathematics - Data processing
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Matlab --- 681.3 --- Engineering mathematics - Data processing. --- Numerical analysis - Data processing. --- Matlab. --- Engineering mathematics --- Data processing --- MATLAB. --- MATLAB (Computer program) --- Matrix laboratory --- 004.4 --- MATLAB (Computer file)
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Engineering mathematics --- Data processing --- Data processing. --- MATLAB. --- MATLAB (Computer program) --- Matrix laboratory --- Mathématiques de l'ingénieur --- Informatique --- matlab --- MATLAB (Computer file) --- Langages de programmation --- Engineering mathematics - Data processing --- Matlab --- Traitement du signal
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Engineering mathematics --- Mensuration --- Estimation theory --- Data processing --- Mesure --- Measurement --- Modèle --- Models --- Classification --- classification --- Classement --- Grading --- Analyse de données --- Data analysis --- Traitement des données --- Évaluation --- evaluation --- Application des ordinateurs --- computer applications --- classification. --- evaluation. --- Engineering mathematics - Data processing --- Mensuration - Data processing --- Estimation theory - Data processing --- Data processing. --- Prtools
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Engineering mathematics --- Numerical analysis --- Engineering --- Science --- Data processing --- 519.6 --- Electronic data processing --- Data processing. --- Computational mathematics. Numerical analysis. Computer programming --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Engineering mathematics - Data processing --- Numerical analysis - Data processing --- Engineering - Data processing --- Science - Data processing
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Selected from papers presented at the 8th Scientific Computation in Electrical Engineering conference in Toulouse in 2010, the contributions to this volume cover every angle of numerically modelling electronic and electrical systems, including computational electromagnetics, circuit theory and simulation and device modelling. On computational electromagnetics, the chapters examine cutting-edge material ranging from low-frequency electrical machine modelling problems to issues in high-frequency scattering. Regarding circuit theory and simulation, the book details the most advanced techniques for modelling networks with many thousands of components. Modelling devices at microscopic levels is covered by a number of fundamental mathematical physics papers, while numerous papers on model order reduction help engineers and systems designers to bring their modelling of industrial-scale systems within the reach of present-day computational power. Complementing these more specific papers, the volume also contains a selection of mathematical methods which can be used in any application domain.
Electrical engineering -- Data processing -- Congresses. --- Electrical engineering -- Mathematical models -- Congresses. --- Engineering mathematics -- Data processing -- Congresses. --- Electrical engineering --- Engineering mathematics --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Applied Mathematics --- Electrical Engineering --- Data processing --- Engineering --- Engineering analysis --- Mathematics --- Mathematics. --- Applied mathematics. --- Engineering mathematics. --- Physics. --- Applications of Mathematics. --- Numerical and Computational Physics. --- Appl.Mathematics/Computational Methods of Engineering. --- Mathematical analysis --- Numerical and Computational Physics, Simulation. --- Mathematical and Computational Engineering. --- Math --- Science --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics
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Engineering mechanics involves the development of mathematical models of the physical world. Statics addresses the forces acting on and in mechanical objects and systems. Statics with MATLAB® develops an understanding of the mechanical behavior of complex engineering structures and components using MATLAB® to execute numerical calculations and to facilitate analytical calculations. MATLAB® is presented and introduced as a highly convenient tool to solve problems for theory and applications in statics. Included are example problems to demonstrate the MATLAB® syntax and to also introduce specific functions dealing with statics. These explanations are reinforced through figures generated with MATLAB® and the extra material available online which includes the special functions described. This detailed introduction and application of MATLAB® to the field of statics makes Statics with MATLAB® a useful tool for instruction as well as self study, highlighting the use of symbolic MATLAB® for both theory and applications to find analytical and numerical solutions.
Continuum mechanics. --- Engineering mathematics -- Data processing. --- MATLAB. --- Statics. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Statics --- Engineering mathematics --- Engineering. --- Mechanics. --- Mechanical engineering. --- Data processing. --- Engineering, Mechanical --- Classical mechanics --- Newtonian mechanics --- Construction --- MATLAB (Computer program) --- Matrix laboratory --- Mathematical models. --- Structural mechanics. --- Structural Mechanics. --- Mathematical Modeling and Industrial Mathematics. --- Physics --- Dynamics --- Quantum theory --- Industrial arts --- Technology --- Engineering --- Machinery --- Steam engineering --- Mathematics --- Mechanics --- Mechanics, Analytic --- Equilibrium --- Mechanics, Applied. --- Solid Mechanics. --- Classical Mechanics. --- Applied mechanics --- Models, Mathematical --- Simulation methods
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Numerical analysis --- Computer science --- Engineering mathematics --- Object-oriented programming (Computer science) --- Data processing --- Congresses. --- -Object-oriented programming (Computer science) --- -#TELE:MI2 --- 681.3*I24 --- Computer programming --- Object-oriented methods (Computer science) --- Document Object Model (Web site development technology) --- Engineering --- Engineering analysis --- Mathematical analysis --- -Congresses --- Case studies --- Knowledge representation formalisms and methods: frames and scripts; predicate logic; relation systems; representation languages; procedural and rule-based representations; semantic networks (Artificial intelligence) --- Mathematics --- 681.3*I24 Knowledge representation formalisms and methods: frames and scripts; predicate logic; relation systems; representation languages; procedural and rule-based representations; semantic networks (Artificial intelligence) --- #TELE:MI2 --- Data processing&delete& --- Congresses --- Engineering mathematics - Data processing - Congresses. --- Object-oriented programming (Computer science) - Congresses.
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The aim of the present book is to show, in a broad and yet deep way, the state of the art in computational science and engineering. Examples of topics addressed are: fast and accurate numerical algorithms, model-order reduction, grid computing, immersed-boundary methods, and specific computational methods for simulating a wide variety of challenging problems, problems such as: fluid-structure interaction, turbulent flames, bone-fracture healing, micro-electro-mechanical systems, failure of composite materials, storm surges, particulate flows, and so on. The main benefit offered to readers of the book is a well-balanced, up-to-date overview over the field of computational science and engineering, through in-depth articles by specialists from the separate disciplines.
Engineering -- Data processing. --- Engineering mathematics -- Data processing. --- Science -- Data processing. --- Science --- Engineering --- Engineering mathematics --- Mathematics - General --- Sciences - General --- Physical Sciences & Mathematics --- Mathematics --- Data processing --- Data processing. --- Mathematics. --- Computer mathematics. --- Physics. --- Applied mathematics. --- Engineering mathematics. --- Mechanical engineering. --- Computational Mathematics and Numerical Analysis. --- Computational Science and Engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Mechanical Engineering. --- Numerical and Computational Physics. --- Engineering, Mechanical --- Machinery --- Steam engineering --- Engineering analysis --- Mathematical analysis --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Math --- Computer science --- Computer science. --- Mathematical and Computational Engineering. --- Numerical and Computational Physics, Simulation. --- Informatics
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