Advances in Computational Mathematics (Lecture Notes in Pure and Applied Mathematics) (Lecture Notes in Pure and Applied Mathematics, V. 202)

Advances in Computational Mathematics (Lecture Notes in Pure and Applied Mathematics) (Lecture Notes in Pure and Applied Mathematics, V. 202)

Editorial Reviews
Review
. . .The articles give statisticians a modern view of recent advances in computational mathematics.
---Journal of the American Statistical Association

Book Description

This volume presents the refereed proceedings of the Guangzhou International Symposium on Computational Mathematics, held at the Zhongshan University, People's Republic of China. Nearly 90 international mathematicians examine numerical optimization methods, wavelet analysis, computational approximation, numerical solutions of differential and integral equations, numerical linear algebra, inverse and ill-posed problems, geometric modelling, and signal and image processing and their applications.

Advances in Computational Mathematics (Lecture Notes in Pure and Applied Mathematics) (Lecture Notes in Pure and Applied Mathematics, V. 202),Zhongying Chen,Yueshen Li,Charles Micchelli,Yuesheng Xu,CRC,0824719468,Applied,Congresses,Mathematics,Numerical Analysis,Probability & Statistics - General,Science/Mathematics,Applied mathematics,Mathematical theory of computation,Mathematics / Applied,Statistics

Books Info:

1. Advances in Hopf Algebras (Lecture Notes in Pure and Applied Mathematics)
2. Advances in Shannon's Sampling Theory
3. Advances in the Control of Nonlinear Systems (Lecture Notes in Control and Information Sciences)
4. Algebraic Geometry
5. Algebraic L-theory and Topological Manifolds (Cambridge Tracts in Mathematics)
6. Algorithm Theory - SWAT 2004 : 9th Scandinavian Workshop on Algorithm Theory, Humlebaek, Denmark, July 8-10, 2004, Proceedings (Lecture Notes in Computer Science)
7. Amplification of Nonlinear Strain Waves in Solids (Series on Stability, Vibration and Control of Systems, Series a, 9)
8. Analysis and Applications
9. An Innovation Approach to Random Fields: Application of White Noise Theory
10. Applied Sequential Methodologies: Real-World Examples with Data Analysis (Statistics, a Series of Textbooks and Monographs)

Books Info

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