Mathematical Methods in Engineering

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Mathematical Methods in Engineering Overview

This book contains some of the contributions that have been carefully selected and peer-reviewed, which were presented at the International Symposium MME06 Mathematical Methods in Engineering, held in Cankaya University, Ankara, April 2006. The Symposium provided a setting for discussing recent developments in Fractional Mathematics, Neutrices and Generalized Functions, Boundary Value Problems, Applications of Wavelets, Dynamical Systems and Control Theory.

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Computational Models For Life Sciences - CMLS '07: 2007 International Symposium on Computational Models of Life Sciences (AIP Conference Proceedings / ... / Mathematical and Statistical Physics)

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Computational Models For Life Sciences - CMLS '07: 2007 International Symposium on Computational Models of Life Sciences (AIP Conference Proceedings / ... / Mathematical and Statistical Physics) Overview

All papers have been peer-reviewed. This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The conference proceedings consists of research papers addressing novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. Topics include image analysis, computer vision, pattern analysis and classification, information visualization, signal processing, control theory, information theory, statistical analysis, numerical analysis, fractals and chaos, optimization, simulation and modeling, computational intelligence methods, machine learning, data mining, decision support systems, database integration and management.

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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Feature

• ISBN13: 9780262541855
• Condition: New
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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Overview

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

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• Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)
• Spikes: Exploring the Neural Code (Computational Neuroscience)
• Introduction To The Theory Of Neural Computation, Volume I (Santa Fe Institute Series)
• Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab
• Principles of Neural Science

Mathematical and Computer Programming Techniques for Computer Graphics

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Mathematical and Computer Programming Techniques for Computer Graphics Overview

Provides a comprehensive and detailed coverage of the fundamentals of programming techniques for computer graphics

Uses lots of code examples, encouraging the reader to explore and experiment with data and computer programs (in the C programming language)

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• Real-Time Rendering, Third Edition
• Computer Graphics: Principles and Practice in C (2nd Edition)
• Mathematics for 3D Game Programming and Computer Graphics, Second Edition (Game Development Series)

Mathematical Modeling for Design of Machine Components, TK Integrated

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I think that the book is ggod for mechanical enginnering in there work. It has example in TK software in 1.44 floopy disk. The example are simple, and everyone can understand the TK code. But the rate is more simple than good book, like "Shigley".

Mathematical Modeling for Design of Machine Components, TK Integrated Overview

Appropriate for sophomore/junior-level courses in Design of Machine Elements. This text makes efficient, effective computer integration readily accessible by developing mathematical models called LEAD MODELS which can be used to analyze, design and/or optimize a machine component. It emphasizes design using computer and associated software along with well developed Lead-Models, allowing students to spend more time understanding fundamentals and exploring on their own.

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Mathematical Modeling and Computer Simulation

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Mathematical Modeling and Computer Simulation Overview

Daniel Maki and Maynard Thompson provide a conceptual framework for the process of building and using mathematical models, illustrating the uses of mathematical and computer models in a variety of situations. This text helps students learn that model building is a dynamic process involving simplification, approximation, abstraction, analysis, computation, and comparison. Students begin the process of model building with a consideration of phenomena arising in another academic area or in the real world.

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• A First Course in Differential Equations
• Modern Geometry
• An Introduction to Abstract Algebra with Notes to the Future Teacher
• Elementary Differential Equations and Boundary Value Problems
• Contemporary Abstract Algebra