Numerical Methods

Numerical methods are a specific form of mathematics that involve creating and use of algorithms to map out the mathematical core of a practical problem. Numerical methods naturally find application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business,...

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LanguageEnglish
Published Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
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ISBN3039433180
3039433199
9783039433193
9783039433186
DOI10.3390/books978-3-03943-319-3

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Abstract Numerical methods are a specific form of mathematics that involve creating and use of algorithms to map out the mathematical core of a practical problem. Numerical methods naturally find application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business, and even arts. The common uses of numerical methods include approximation, simulation, and estimation, and there is almost no scientific field in which numerical methods do not find a use. Results communicated here include topics ranging from statistics (Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions) and Statistical software packages (dCATCH—A Numerical Package for d-Variate near G-Optimal Tchakaloff Regression via Fast NNLS) to new approaches for numerical solutions (Exact Solutions to the Maxmin Problem max‖Ax‖ Subject to ‖Bx‖≤1; On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems; Convergence Analysis and Complex Geometry of an Efficient Derivative-Free Iterative Method; On Derivative Free Multiple-Root Finders with Optimal Fourth Order Convergence; Finite Integration Method with Shifted Chebyshev Polynomials for Solving Time-Fractional Burgers’ Equations) to the use of wavelets (Orhonormal Wavelet Bases on The 3D Ball Via Volume Preserving Map from the Regular Octahedron) and methods for visualization (A Simple Method for Network Visualization).
AbstractList Numerical methods are a specific form of mathematics that involve creating and use of algorithms to map out the mathematical core of a practical problem. Numerical methods naturally find application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business, and even arts. The common uses of numerical methods include approximation, simulation, and estimation, and there is almost no scientific field in which numerical methods do not find a use. Results communicated here include topics ranging from statistics (Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions) and Statistical software packages (dCATCH—A Numerical Package for d-Variate near G-Optimal Tchakaloff Regression via Fast NNLS) to new approaches for numerical solutions (Exact Solutions to the Maxmin Problem max‖Ax‖ Subject to ‖Bx‖≤1; On q-Quasi-Newton’s Method for Unconstrained Multiobjective Optimization Problems; Convergence Analysis and Complex Geometry of an Efficient Derivative-Free Iterative Method; On Derivative Free Multiple-Root Finders with Optimal Fourth Order Convergence; Finite Integration Method with Shifted Chebyshev Polynomials for Solving Time-Fractional Burgers’ Equations) to the use of wavelets (Orhonormal Wavelet Bases on The 3D Ball Via Volume Preserving Map from the Regular Octahedron) and methods for visualization (A Simple Method for Network Visualization).
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Jäntschi, Lorentz
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Snippet Numerical methods are a specific form of mathematics that involve creating and use of algorithms to map out the mathematical core of a practical problem....
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SubjectTerms accelerated Lawson-Hanson solver
Banach space
boundary singularities
Burgers’ equation
Caputo fractional derivative
Caratheodory-Tchakaloff discrete measure compression
Clenshaw–Curtis–Filon
composite method
coupled Burgers’ equation
D-optimality
derivative-free method
extreme values
finite integration method
Fréchet-derivative
G-efficiency
G-optimality
graph drawing
high oscillation
local convergence
Mathematics and Science
matrix norm
maxmin
methods of quasi-Newton type
Monte Carlo simulation
multiobjective programming
multiple root solvers
multiplicative algorithms
multivariate polynomial regression designs
Network
Non-Negative Least Squares
nonlinear equations
optimal convergence
optimal geolocation
order statistics
outliers
Pareto optimality
planar visualizations
probability computing
q-calculus
rate of convergence
Reference, Information and Interdisciplinary subjects
Research and information: general
shifted Chebyshev polynomial
singular integral equations
supporting vector
TMS coil
uniform 3D grid
volume preserving map
wavelets on 3D ball
weight-function
Title Numerical Methods
URI https://directory.doabooks.org/handle/20.500.12854/69216
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