Numerical methods for engineers Steven C. Chapra, Raymond P. CanalePublisher: Nueva York Mc-Graw HIl 2010Edition: 6th. editionDescription: xviii, 968 páginas : ilustraciones, figuras, tablas. 23 cmContent type: Media type: Carrier type: ISBN: 9780071267595Subject(s): Análisis numérico | Ingeniería de Petróleos | Métodos numéricosDDC classification: 519.4
|Item type||Current location||Collection||Call number||Vol info||Copy number||Status||Date due||Barcode||Item holds|
|Book||B. Campus los Cerros Colección general||Colección de Tesis||519.4 C368n (Browse shelf)||6th edition 2010||1||Available||0000055419|
|Book||B. Campus los Cerros Colección general||Colección general||519.4 C368n (Browse shelf)||6th edition 2010||2||Available||0000055579|
|Book||B. Campus los Cerros En oficina de procesamiento técnico||Colección general||519.4 C368n (Browse shelf)||6th edition 2010||3||Available||0000056498|
Include index and appendices
Include bibliographical references.
Mathematical Modeling and Engineering Problem Solving. - - Programming and Software. - - Approximations and Round-Off Errors. - - Truncation Errors and the Taylor Series. - - Roots of Equations. - - Bracketing Methods. - - Open Methods < of Roots>. - - Engineering Applications: Roots of Equations. - - Linear Algebraic Equations. - - Gauss Elimination. - - LU Decomposition and Matrix Inversion. - -Special Matrices and Gauss-Seidel. - -Engineering Applications: Linear Algebraic Equations. - - Optimization. - -One-Dimensional Unconstrained Optimization. - -Multidimensional Unconstrained Optimization. - -Constrained Optimization. - -Engineering Applications: Optimization. - - Curve Fitting. - -Least-Squares Regression. - -Interpolation. - -Fourier Approximation. - - Engineering Applications: Curve Fitting. - - Numerical Differentiation and Integration. - -Newton-Cotes Integration Formulas. - -Integration of Equations. - -Numerical Differentiation. - -Engineering Applications: Numerical Integration and Differentiation. - - Ordinary Differential Equations. - -Runge-Kutta Methods. - -Stiffness and Multistep Methods. - -Boundary-Value and Eigenvalue Problems. - -Engineering Applications: Ordinary Differential Equations. - - ial Differential Equations. - -Finite Difference: Elliptic Equations. - - Finite Difference: Parabolic Equations. - -Finite-Element Method. - -Engineering Applications: - - Ial Differential Equations.
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. Numerous new or revised problems are drawn from actual engineering practice. The expanded breadth of engineering disciplines covered is especially evident in these exercises, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span all areas of engineering giving students a broad exposure to various fields in engineering. Additional McGraw-Hill International editions and available in the following subjetcs: It has been over twenty years since we published the first edition of this book. Over that period, our original contention that numerical methods and computers would figure more prominently in the engineering curriculum - particularly in the early parts - has been dramatically borne out. Many universities now offer freshman. 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. [tomado de la fuente]