Muutke küpsiste eelistusi

Numerical Computing with Matlab illustrated edition [Pehme köide]

(Uuem väljaanne: 9780898716603)
  • Formaat: Paperback, 184 pages, kõrgus x laius x paksus: 228x152x19 mm, kaal: 606 g, 200 exercises
  • Ilmumisaeg: 01-Jan-2004
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898715601
  • ISBN-13: 9780898715606 (Uuem väljaanne: 9780898716603)
Teised raamatud teemal:
  • Pehme köide
  • Hind: 61,98 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Paperback, 184 pages, kõrgus x laius x paksus: 228x152x19 mm, kaal: 606 g, 200 exercises
  • Ilmumisaeg: 01-Jan-2004
  • Kirjastus: Society for Industrial & Applied Mathematics,U.S.
  • ISBN-10: 0898715601
  • ISBN-13: 9780898715606 (Uuem väljaanne: 9780898716603)
Teised raamatud teemal:
This textbook for an introductory course in numerical methods aims to help students understand enough about the mathematical functions in MATLAB software to use them correctly, appreciate their limitations, and modify them appropriately. Topics covered include linear equations; interpolation; zeros and roots; least squares; ordinary differential equations; eigenvalues and singular values; and partial differential equations. Moler, who works in the computer industry, was a professor of mathematics and computer science for nearly 20 years. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Numerical Computing with MATLAB is a lively textbook for an introductory course in numerical methods, MATLAB and technical computing.

This is a lively textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MATLAB to use them correctly, appreciate their limitations, and modify them appropriately. The book makes extensive use of computer graphics, including interactive graphical expositions of numerical algorithms. It provides more than 70 M-files, which can be downloaded from the text Web site www.mathworks.com/moler. Many of the numerous exercises involve modifying and extending these programs. The topics covered include an introduction to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; ordinary differential equations; Fourier analysis; random numbers; eigenvalues and singular values; and partial differential equations. Motivating applications include modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering.

Arvustused

'Moler ... tailors his book as a set of discrete and easy to read chapters explaining and depicting the power of MATLAB. [ The book] demonstrates to the reader, student or professional users, what is possible in MATLAB in easy to swallow bites, yet preserving the power and elegance of the software. ... Moler does an outstanding job covering the sweet-spot between mathematics and computer science using MATLAB. He demonstrates throughout his book the power and the flexibility of the software application, and how it can be used to make a scientist's job easier.' Art Seddighi, MAA Reviews

Preface ix
Introduction to Matlab
1(52)
The Golden Ratio
1(6)
Fibonacci Numbers
7(6)
Fractal Fern
13(5)
Magic Squares
18(8)
Cryptography
26(5)
The 3n + 1 Sequence
31(2)
Floating-Point Arithmetic
33(8)
Further Reading
41(12)
Exercises
41(12)
Linear Equations
53(40)
Solving Linear Systems
53(1)
The Matlab Backslash Operator
54(1)
A 3-by-3 Example
54(2)
Permutation and Triangular Matrices
56(1)
LU Factorization
57(1)
Why Is Pivoting Necessary?
58(2)
lutx, bslashtx, lugui
60(3)
Effect of Roundoff Errors
63(3)
Norms and Condition Numbers
66(6)
Sparse Matrices and Band Matrices
72(2)
PageRank and Markov Chains
74(7)
Further Reading
81(12)
Exercises
82(11)
Interpolation
93(24)
The Interpolating Polynomial
93(5)
Piecewise Linear Interpolation
98(1)
Piecewise Cubic Hermite Interpolation
99(1)
Shape-Preserving Piecewise Cubic
100(2)
Cubic Spline
102(3)
pchiptx, splinetx
105(3)
interpgui
108(9)
Exercises
110(7)
Zeros and Roots
117(24)
Bisection
117(2)
Newton's Method
119(2)
A Perverse Example
121(1)
Secant Method
122(1)
Inverse Quadratic Interpolation
123(1)
Zeroin
124(1)
fzerotx, feval
124(5)
fzerogui
129(3)
Value Finding and Reverse Interpolation
132(1)
Optimization and fmintx
132(9)
Exercises
135(6)
Least Squares
141(26)
Models and Curve Fitting
141(2)
Norms
143(1)
censusgui
144(1)
Householder Reflections
145(2)
The QR Factorization
147(5)
Pseudoinverse
152(2)
Rank Deficiency
154(2)
Separable Least Squares
156(3)
Further Reading
159(8)
Exercises
159(8)
Quadrature
167(20)
Adaptive Quadrature
167(1)
Basic Quadrature Rules
168(2)
quadtx, quadgui
170(3)
Specifying Integrands
173(2)
Performance
175(2)
Integrating Discrete Data
177(2)
Further Reading
179(8)
Exercises
179(8)
Ordinary Differential Equations
187(50)
Integrating Differential Equations
187(1)
Systems of Equations
188(1)
Linearized Differential Equations
189(2)
Single-Step Methods
191(3)
The BS23 Algorithm
194(2)
ode23tx
196(3)
Examples
199(3)
Lorenz Attractor
202(2)
Stiffness
204(4)
Events
208(4)
Multistep Methods
212(1)
The Matlab ODE Solvers
212(1)
Errors
213(4)
Performance
217(2)
Further Reading
219(18)
Exercises
219(18)
Fourier Analysis
237(20)
Touch-Tone Dialing
237(4)
Finite Fourier Transform
241(1)
fftgui
242(2)
Sunspots
244(4)
Periodic Time Series
248(1)
Fast Finite Fourier Transform
249(1)
ffttx
250(1)
fftmatrix
251(1)
Other Fourier Transforms and Series
252(2)
Further Reading
254(3)
Exercises
254(3)
Random Numbers
257(12)
Pseudorandom Numbers
257(1)
Uniform Distribution
257(3)
Normal Distribution
260(3)
randtx, randntx
263(6)
Exercises
265(4)
Eigenvalues and Singular Values
269(38)
Eigenvalue and Singular Value Decompositions
269(3)
A Small Example
272(1)
eigshow
273(2)
Characteristic Polynomial
275(1)
Symmetric and Hermitian Matrices
276(1)
Eigenvalue Sensitivity and Accuracy
277(6)
Singular Value Sensitivity and Accuracy
283(1)
Jordan and Schur Forms
284(1)
The QR Algorithm
285(2)
eigsvdgui
287(2)
Principal Components
289(4)
Circle Generator
293(5)
Further Reading
298(9)
Exercises
298(9)
Partial Differential Equations
307(20)
Model Problems
307(1)
Finite Difference Methods
308(2)
Matrix Representation
310(2)
Numerical Stability
312(2)
The L-Shaped Membrane
314(13)
Exercises
319(8)
Bibliography 327(5)
Index 332


Cleve B. Moler is Chairman and Chief Scientist at The MathWorks. Before abandoning academic life for the computer industry, Moler was a professor of mathematics and computer science for almost 20 years at the University of Michigan, Stanford University, and the University of New Mexico. He then spent five years with two computer hardware manufacturers, the Intel Hypercube organization and Ardent Computers. His professional interests center on numerical analysis and scientific computing. He is the original author of Matlab, as well as one of the authors of the Linpack and Eispack scientific libraries for matrix computation. He is also co-author of three textbooks on numerical methods. He has served SIAM as a journal editor, Council member, Vice-President, and, since 1996, a member of the Board of Trustees.