Handbook of Analytic Computational Methods in Applied Mathematics
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advanced approximation techniques in mathematics
analytic-computational methods
Appell Polynomial
appliedm athematics
Approximation
approximation theory
ARMA GARCH Model
Banach
Bivariate Spline
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Constant Proportional Portfolio Insurance
Cumulative Distribution Function
Distributions
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Functional Lagrangian
functional optimization
GARCH Model
Hilbert space
Historical Simulation Method
Integral
Interior Point Method
inverse problem solving
Jacobi Polynomials
Lagrangian Duality
Lower Partial Moment
multivariate data analysis
numerical analysis
Optimal Triangulation
Orthogonal Polynomial Sequence
Orthogonal Polynomial Systems
Paretian
PDE Method
Pietro
Quadratic Spline
Quadratic Spline Function
Quartic Splines
Riemann
Smoothness Order
Space
Spline Space
Stable
statistical modeling
stochastic processes
Theory
Tikhonov Regularization
Tikhonov's regularization method
Var Confidence Level
Var Number
Variance Covariance Method
Product details
- ISBN 9781584881353
- Weight: 1554g
- Dimensions: 156 x 234mm
- Publication Date: 27 Jun 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Working computationally in applied mathematics is the very essence of dealing with real-world problems in science and engineering. Approximation theory-on the borderline between pure and applied mathematics- has always supplied some of the most innovative ideas, computational methods, and original approaches to many types of problems.
The first of its kind, the Handbook on Analytic-Computational Methods in Applied Mathematics comprises 22 self-contained chapters focused on various aspects of analytic computational methods in approximation theory and other related fields. The articles represent the leading research activities of contemporary, mainstream applied mathematics and address problems in a broad range of disciplines, from economics to statistics, dynamic programming, and engineering.
