توضیحاتی در مورد کتاب Computational Mathematics and Applications
نام کتاب : Computational Mathematics and Applications
ویرایش : 1 ed.
عنوان ترجمه شده به فارسی : ریاضیات محاسباتی و کاربردها
سری :
نویسندگان : Dia Zeidan, Seshadev Padhi, Aliaa Burqan, Peer Ueberholz
ناشر : Springer
سال نشر : 2021
تعداد صفحات : 285
[279]
ISBN (شابک) : 9789811584978 , 9789811584985
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 6 Mb
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فهرست مطالب :
Preface
Contents
About the Authors
Analysing Differential Equations with Uncertainties via the Liouville-Gibbs Theorem: Theory and Applications
1 Introduction and Preliminaries
2 The 1-P.D.F. of a Random System and the Liouville-Gibbs Equation
2.1 The Liouville-Gibbs Partial Differential Equation
2.2 Solving the Liouville-Gibbs Equation
3 Applications
3.1 The Random Linear Oscillator
3.2 The Random Damped Linear Oscillator
3.3 The Random Logistic Model
4 Conclusions
References
Solving Time-Space-Fractional Cauchy Problem with Constant Coefficients by Finite-Difference Method
1 Introduction
2 Preliminaries
3 Modified Finite-Difference Method
4 Stability Analysis
5 Numerical Experiments
6 Conclusion
References
On Modification of an Adaptive Stochastic Mirror Descent Algorithm for Convex Optimization Problems with Functional Constraints
1 Introduction
2 Problem Statement and Standard Mirror Descent Basics
3 Adaptive Stochastic Mirror Descent Algorithm
4 The Modification of an Adaptive Stochastic Mirror Descent Algorithm
5 Numerical Experiments
5.1 Additional Experiments: Fermat-Torricelli-Steiner Problem
6 Conclusions
References
Inductive Description of Quadratic Lie and Pseudo-Euclidean Jordan Triple Systems
1 Introduction
2 Preambles
3 Pseudo-Euclidean Jordan Triple Systems
3.1 T*-Extension of Jordan Triple Systems
3.2 Tits-Kantor-Koecher of Pseudo-Euclidean Jordan Triple Systems
4 Quadratic Lie Triple Systems
4.1 Inductive Description of Quadratic Solvable Lie Triple Systems
4.2 Inductive Description of Quadratic Lie Triple Systems
5 Conclusion
References
Comparative Study of Some Numerical Methods for the Standard FitzHugh-Nagumo Equation
1 Introduction
2 Organisation of the Paper
3 Numerical Experiment
4 Construction of Numerical Scheme from Exact Solution
5 Scheme of Namjoo and Zibaei
5.1 Explicit Scheme
5.2 Implicit Scheme
6 Nonstandard Finite Difference Scheme (NSFD)
6.1 NSFD1 Scheme
6.2 NSFD2 Scheme
6.3 NSFD3 Scheme
7 Conclusion
References
Analytical Solution of Neutron Diffusion Equation in Reflected Reactors Using Modified Differential Transform Method
1 Introduction
2 Description of the Method
3 Theory
3.1 Reflected Slab Reactor
3.2 Reflected Spherical Reactor
4 Results and Comparison
4.1 Reflected Slab Reactor
4.2 Reflected Spherical Reactor
5 Conclusions
References
Second-Order Perturbed State-Dependent Sweeping Process with Subsmooth Sets
1 Introduction
2 Notations and Preliminaries
3 Main Result
4 Delayed Sweeping Process
5 Examples
6 Conclusion
References
Membrane Hydrogen Mixture Separation: Modelling and Analysis
1 Introduction
2 Design of Experimental Facility for Membrane Gas Separation on the Base of Nickel Membranes
3 Simulation of Facility for Membrane Separation
3.1 Storaging Regime
3.2 Running Regime
3.3 Software Package ``Membrane Gas Separation 1.0'' (MGS V. 1.00)
3.4 Verification
4 Results and Discussion
5 Conclusions
References
An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimisation
1 Introduction
2 New Hybrid CGM
3 Global Convergence Properties
4 Numerical Result and Discussion
5 Conclusion
References
On the Polynomial Decay of the Wave Equation with Wentzell Conditions
1 Introduction
2 The Problem
3 Exponential Stability of a One-Dimensional Problem
4 Polynomial Stability
5 Conclusion
References
Solutions of Fractional Verhulst Model by Modified Analytical and Numerical Approaches
1 Introduction
2 Preliminaries of Fractional Calculus
3 Description of FRPS, RKHS and SS Approaches
3.1 The Reproducing Kernel Hilbert Space Method
3.2 The Fractional Residual Power Series Method
3.3 The Successive Substitutions Technique
4 Numerical Applications
5 Conclusion
References
Is It Worthwhile Considering Orthogonality in Generalised Polynomial Chaos Expansions Applied to Solving Stochastic Models?
1 Introduction and Motivation
2 Preliminaries on gPC and Canonical Polynomial Expansions
3 Comparing gPC and Canonical Polynomial Expansions
4 Numerical Experiments
5 Conclusions and Suggestions
References