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Numerical Computations: Theory and Algorithms

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Cover of 'Numerical Computations: Theory and Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Towards an Efficient Implementation of an Accurate SPH Method
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    Chapter 2 A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines
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    Chapter 3 An Adaptive Refinement Scheme for Radial Basis Function Collocation
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    Chapter 4 A 3D Efficient Procedure for Shepard Interpolants on Tetrahedra
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    Chapter 5 Interpolation by Bivariate Quadratic Polynomials and Applications to the Scattered Data Interpolation Problem
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    Chapter 6 Comparison of Shepard’s Like Methods with Different Basis Functions
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    Chapter 7 A New Remez-Type Algorithm for Best Polynomial Approximation
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    Chapter 8 An SVE Approach for the Numerical Solution of Ordinary Differential Equations
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    Chapter 9 Uniform Weighted Approximation by Multivariate Filtered Polynomials
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    Chapter 10 A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media
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    Chapter 11 Performance Analysis of a Multicore Implementation for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem
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    Chapter 12 Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data
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    Chapter 13 Stochastic Mechanisms of Information Flow in Phosphate Economy of  Escherichia coli
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    Chapter 14 NMR Data Analysis of Water Mobility in Wheat Flour Dough: A Computational Approach
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    Chapter 15 A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems
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    Chapter 16 A Gradient-Based Globalization Strategy for the Newton Method
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    Chapter 17 On the Steplength Selection in Stochastic Gradient Methods
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    Chapter 18 Efficient Block Coordinate Methods for Blind Cauchy Denoising
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    Chapter 19 A Parallel Software Platform for Pathway Enrichment
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    Chapter 20 Hierarchical Clustering of Spatial Urban Data
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    Chapter 21 Improving Efficiency in Parallel Computing Leveraging Local Synchronization
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    Chapter 22 A General Computational Formalism for Networks of Structured Grids
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    Chapter 23 Preliminary Model of Saturated Flow Using Cellular Automata
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    Chapter 24 A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning
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    Chapter 25 A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models
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    Chapter 26 Final Sediment Outcome from Meteorological Flood Events: A Multi-modelling Approach
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    Chapter 27 Parallel Algorithms for Multifractal Analysis of River Networks
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    Chapter 28 A Methodology Approach to Compare Performance of Parallel Programming Models for Shared-Memory Architectures
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    Chapter 29 New Approaches to Basic Calculus: An Experimentation via Numerical Computation
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    Chapter 30 A Multi-factor RSA-like Scheme with Fast Decryption Based on Rédei Rational Functions over the Pell Hyperbola
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    Chapter 31 Paradoxes of the Infinite and Ontological Dilemmas Between Ancient Philosophy and Modern Mathematical Solutions
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    Chapter 32 The Sequence of Carboncettus Octagons
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    Chapter 33 On the Arithmetic of Knuth’s Powers and Some Computational Results About Their Density
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    Chapter 34 Combinatorics on n -sets: Arithmetic Properties and Numerical Results
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    Chapter 35 Numerical Problems in XBRL Reports and the Use of Blockchain as Trust Enabler
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    Chapter 36 Modelling on Human Intelligence a Machine Learning System
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    Chapter 37 Algorithms for Jewelry Industry 4.0
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    Chapter 38 Clustering Analysis to Profile Customers’ Behaviour in POWER CLOUD Energy Community
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    Chapter 39 A Grossone-Based Numerical Model for Computations with Infinity: A Case Study in an Italian High School
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    Chapter 40 A Computational Approach with MATLAB Software for Nonlinear Equation Roots Finding in High School Maths
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    Chapter 41 Task Mathematical Modelling Design in a Dynamic Geometry Environment: Archimedean Spiral’s Algorithm
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    Chapter 42 Numerical Experimentations for a New Set of Local Indices of a Water Network
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    Chapter 43 Performance Management of Demand and Pressure Driven Analysis in a Monitored Water Distribution Network
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    Chapter 44 Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples
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    Chapter 45 Identification of Contamination Potential Source (ICPS): A Topological Approach for the Optimal Recognition of Sensitive Nodes in a Water Distribution Network
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    Chapter 46 Seeking for a Trade-Off Between Accuracy and Timeliness in Meteo-Hydrological Modeling Chains
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    Chapter 47 Optimization Model for Water Distribution Network Planning in a Realistic Orographic Framework
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    Chapter 48 Scenario Optimization of Complex Water Supply Systems for Energy Saving and Drought-Risk Management
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    Chapter 49 Optimizing Rainwater Harvesting Systems for Non-potable Water Uses and Surface Runoff Mitigation
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    Chapter 50 New Mathematical Optimization Approaches for LID Systems
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    Chapter 51 Evaluation of an Integrated Seasonal Forecast System for Agricultural Water Management in Mediterranean Regions
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    Chapter 52 Optimization of Submarine Outfalls with a Multiport Diffuser Design
Attention for Chapter 24: A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning
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Citations

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Chapter title
A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning
Chapter number 24
Book title
Numerical Computations: Theory and Algorithms
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-39081-5_24
Book ISBNs
978-3-03-039080-8, 978-3-03-039081-5
Authors

Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Folino, Gianluigi, Pisani, Francesco Sergio, Pontieri, Luigi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 4 67%
Unknown 2 33%

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