Applied Numerical Analysis

Author: Curtis F. Gerald
Publisher: Addison-Wesley
ISBN: 9780321133045
Format: PDF
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Incorporating a balance of theory with techniques and applications, this text includes optional theory-based sections. The topics, such as partial differential equations and matrix algebra, provide comprehensive and flexible coverage of all aspects of numerical analysis.

Applied Numerical Analysis

Author: Gerald
Publisher: Pearson Education India
ISBN: 9788131717400
Format: PDF
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Incorporating a balance of theory with techniques and applications, this text includes optional theory-based sections. The topics, such as partial differential equations and matrix algebra, provide comprehensive and flexible coverage of all aspects of numerical analysis.

Applied Numerical Analysis

Author: Curtis F. Gerald
Publisher: Addison-Wesley
ISBN: 9780321190192
Format: PDF, ePub, Docs
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Incorporating a balance of theory with techniques and applications, this text includes optional theory-based sections. The topics, such as partial differential equations and matrix algebra, provide comprehensive and flexible coverage of all aspects of numerical analysis.

Numerical Methods for Engineers

Author: Steven Chapra
Publisher: McGraw-Hill Higher Education
ISBN: 0077492161
Format: PDF, ePub, Docs
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The seventh edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. Chapra and Canale's unique approach opens each part of the text with sections called “Motivation,“ “Mathematical Background,” and “Orientation” Each part closes with an “Epilogue” containing “Trade-Offs,” “Important Relationships and Formulas,” and “Advanced Methods and Additional References.” Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Helpful separate Appendices. “Getting Started with MATLAB” and “Getting Started with Mathcad” which make excellent references.

Applied Numerical Methods

Author: B. Carnahan
Publisher:
ISBN:
Format: PDF, ePub
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Interpolation and approximation; Numerical integration; Solution of equations; Matrices and related topics; Systems of equations; The approximation of the solution of ordinary differential equations; Approximation of the solution of partial differential equations; Statistical methods.

Numerical Analysis

Author: Richard L. Burden
Publisher: Brooks/Cole Publishing Company
ISBN: 9780534382162
Format: PDF, ePub
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CD-ROM contains: Programs for all algorithms in text -- Samples of the Student Study Guide for the book.

Applied Numerical Methods with MATLAB for Engineers and Scientists

Author: Steven C. Chapra, Dr.
Publisher: McGraw-Hill Education
ISBN: 9780073397962
Format: PDF, ePub, Mobi
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Applied Numerical Methods with MATLAB is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings. McGraw-Hill Education's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

Numerical Methods in Engineering with Python

Author: Jaan Kiusalaas
Publisher: Cambridge University Press
ISBN: 113948415X
Format: PDF, ePub, Mobi
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This text is for engineering students and a reference for practising engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation. Brent's method of root finding was replaced by Ridder's method, and the Fletcher-Reeves method of optimization was dropped in favor of the downhill simplex method. Each numerical method is explained in detail, and its shortcomings are pointed out. The examples that follow individual topics fall into two categories: hand computations that illustrate the inner workings of the method and small programs that show how the computer code is utilized in solving a problem. This second edition also includes more robust computer code with each method, which is available on the book website. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method.

Numerical Methods

Author: Anne Greenbaum
Publisher: Princeton University Press
ISBN: 1400842670
Format: PDF, Kindle
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Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics from physics and engineering. Exercises use MATLAB and promote understanding of computational results. The book gives instructors the flexibility to emphasize different aspects--design, analysis, or computer implementation--of numerical algorithms, depending on the background and interests of students. Designed for upper-division undergraduates in mathematics or computer science classes, the textbook assumes that students have prior knowledge of linear algebra and calculus, although these topics are reviewed in the text. Short discussions of the history of numerical methods are interspersed throughout the chapters. The book also includes polynomial interpolation at Chebyshev points, use of the MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials are available online. Clear and concise exposition of standard numerical analysis topics Explores nontraditional topics, such as mathematical modeling and Monte Carlo methods Covers modern applications, including information retrieval and animation, and classical applications from physics and engineering Promotes understanding of computational results through MATLAB exercises Provides flexibility so instructors can emphasize mathematical or applied/computational aspects of numerical methods or a combination Includes recent results on polynomial interpolation at Chebyshev points and use of the MATLAB package Chebfun Short discussions of the history of numerical methods interspersed throughout Supplementary materials available online