Applied numerical methods : with MATLAB for engineers and scientists

Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs). Applied Numerical Methods With Matlab For Engineering And Science Is The Newest Book By Best-selling Author Steve Chapra. The New Text Uses Matlab As The Primary Computing Environment And Focuses On Applications. Theory Is Included Only When It Has Direct Use To The Student; I.e., When Theory Informs The Concepts. Information Relating To The Limitations Of Methods And To Choosing Among Different Methods Is Stressed Throughout The Book. The Book Includes Algorithms, But The Algorithms Will Be Presented As Matlab M-files, Rather Than Pseudocode. Chapra's Familiar Instructor- And Student-friendly Style And Pedagogical Features Are Hallmarks Of This Highly Anticipated New Text. Mathematical Modeling, Numberical Methods, And Problem Solving -- Matlab Fundamentals -- Programming With Matlab -- Roundoff And Truncation Errors -- Roots: Bracketing Methods -- Roots: Open Methods -- Optimization -- Linear Algebraic Equations And Matrics -- Gauss Elimination -- Lu Factorization -- Matrix Inverse And Condition -- Iterative Methods -- Linear Regression -- General Linear Least-squares And Nonlinear Regression -- Polynomial Interpolation -- Splines And Piecewise Interpolation -- Numerical Integration Formulas -- Numerical Integration Of Functions -- Numerical Differentiation -- Initial-value Problems -- Adaptive Methods And Stiff Systems -- Boundary-value Problems. Steven C. Chapra. Includes Bibliographical References (p. 579) And Index. Contents 1 Cover.PDF 1 Contents.PDF 2 Part 1 - Chapters 1-4 9 Part 1 Overview.PDF 9 Ch 1.PDF 12 Modeling, Computers, and Error Analysis Ch 4.PDF 86 Part 2 - Chapters 5-7 118 Part 2 Overview.PDF 118 Roots and Optimization Ch 5-7.PDF 121 Part 3 - Chapters 8-12 195 Part 3 Overview.PDF 195 Linear Systems Ch 8-12.PDF 199 Part 4 - Chapters 13-16 287 Part 4 Overview.PDF 287 Curve Fitting Ch 13-16.PDF 290 Part 5 - Chapters 17-19 394 Part 5 Overview.PDF 394 Integration and Differentiation Ch 17-19.PDF 397 Part 6 - Chapters 20-22 479 Part 6 Overview.PDF 479 Ordinary Differential Equations Ch 20-22.PDF 485 __Appendix 571 Appendix.PDF 571 Suppose that a bungee-jumping company hires you.