Showing posts with label Algorithms. Show all posts
Showing posts with label Algorithms. Show all posts

Circuit Simulation Methods and Algorithms (Electronic Engineering Systems)

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Circuit Simulation Methods and Algorithms (Electronic Engineering Systems) Overview


Circuit Simulation Methods and Algorithms provides a step-by-step theoretical consideration of methods, techniques, and algorithms in an easy-to-understand format. Many illustrations explain more difficult problems and present instructive circuits.
The book works on three levels:
  • The simulator-user level for practitioners and students who want to better understand circuit simulators.
  • The basic theoretical level, with examples, dedicated to students and beginning researchers.
  • The thorough level for deep insight into circuit simulation based on computer experiments using PSPICE and OPTIMA.
    Only basic mathematical knowledge, such as matrix algebra, derivatives, and integrals, is presumed.



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    *** Product Information and Prices Stored: May 03, 2011 02:10:15

    Computer Graphics and Geometric Modelling: Implementation & Algorithms (v. 1)

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    Computer Graphics and Geometric Modelling: Implementation & Algorithms (v. 1) Overview


    Possibly the most comprehensive overview of computer graphics as seen in the context of geometric modelling, this two volume work covers implementation and theory in a thorough and systematic fashion. Computer Graphics and Geometric Modelling: Implementation and Algorithms, covers the computer graphics part of the field of geometric modelling and includes all the standard computer graphics topics. The first part deals with basic concepts and algorithms and the main steps involved in displaying photorealistic images on a computer. The second part covers curves and surfaces and a number of more advanced geometric modelling topics including intersection algorithms, distance algorithms, polygonizing curves and surfaces, trimmed surfaces, implicit curves and surfaces, offset curves and surfaces, curvature, geodesics, blending etc. The third part touches on some aspects of computational geometry and a few special topics such as interval analysis and finite element methods. The volume includes two companion programs.


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    New Algorithms for Macromolecular Simulation (Lecture Notes in Computational Science and Engineering)

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    New Algorithms for Macromolecular Simulation (Lecture Notes in Computational Science and Engineering) Overview


    Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.




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    *** Product Information and Prices Stored: Apr 12, 2011 06:50:08

    Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23)

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    Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23) Overview


    This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.


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    *** Product Information and Prices Stored: Jan 20, 2011 18:40:09

    Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)

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    Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series) Overview


    Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.

    In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures.

    The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.




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    Understanding Molecular Simulation, Second Edition: From Algorithms to Applications (Computational Science Series, Vol 1)

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    When I have any question about simulations, this book is my first choice and it usually doesn't disappoint me. Best part of this book is crystal theory and algorithm. I know how to run a simulation, how to choose a parameter WITH CONFIDENCE after reading it. However, codes in it are not always helpful, I usually need to implement in my own way. In brief, this book is very good on basic principle and algorithm of molecular simulations, but not how to write a piece of code.




    Understanding Molecular Simulation, Second Edition: From Algorithms to Applications (Computational Science Series, Vol 1) Overview


    Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.

    Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on:

    · Transition path sampling and diffusive barrier crossing to simulaterare events
    · Dissipative particle dynamic as a course-grained simulation technique
    · Novel schemes to compute the long-ranged forces
    · Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations
    · Multiple-time step algorithms as an alternative for constraints
    · Defects in solids
    · The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules
    · Parallel tempering for glassy Hamiltonians

    Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.


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    Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications

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    Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications Overview


    A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics


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    *** Product Information and Prices Stored: Aug 16, 2010 16:50:06