Isbn: 9780898716665 - scientific computing with case studies (17 Ergebnisse)

paperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: good. This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780898716665.

Paperback. Zustand: Good. Dinged top corner of the cover and some pages. Priority Mail is available on this item. No international shipping.

Zustand: As New. Unread book in perfect condition.

Zustand: New. A practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. Num Pages: 395 pages, col. Illustrations. BIC Classification: PBK; PBKS; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 252 x 171 x 18. Weight in Grams: 814. . 2008. 0th Edition. Paperback. . . . . …

Zustand: New.

Paperback. Zustand: New. Learning through doing is the foundation of this book, which allows readers to explore case studies as well as expository material. The book provides a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis is emphasized, and the MATLAB® algorithms are grounded in sound principles of software design and in the understanding of machine arithmetic and memory management.Nineteen case studies allow readers to become familiar with mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. A website provides solutions to the challenges that are offered throughout the book and also supplies relevant MATLAB codes, derivations, and supplementary notes and slides. …

Paperback. Zustand: Brand New. 1st edition. 395 pages. 9.90x6.90x0.70 inches. In Stock.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780898716665.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. A practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. Num Pages: 395 pages, col. Illustrations. BIC Classification: PBK; PBKS; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 252 x 171 x 18. Weight in Grams: 814. . 2008. 0th Edition. Paperback. . . . . Books ship from the US and Ireland. …

Zustand: New. In English.

Paperback. Zustand: New. Learning through doing is the foundation of this book, which allows readers to explore case studies as well as expository material. The book provides a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis is emphasized, and the MATLAB® algorithms are grounded in sound principles of software design and in the understanding of machine arithmetic and memory management.Nineteen case studies allow readers to become familiar with mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. A website provides solutions to the challenges that are offered throughout the book and also supplies relevant MATLAB codes, derivations, and supplementary notes and slides. …