Applied algebraic and differential calculus / edited by Olga Moreira.

Contributor(s):

Moreira, Olga [editor.]

Burlington, ON, Canada: Arcler Press, 2022Description: xxiv, 437 pages, (various pagings) : illustrations ; 23 cmISBN:

9781774691793

Subject(s):

DDC classification:

23 515.33 Ap58 2022

Contents:

The Eight Epochs of Math as Regards Past and Future Matrix Computations Solving Second-Order Differential Equations by Decomposition Decomposition of Ordinary Differential Equations Solution to Nolinear Partial Differential Equatons by Mixture Adomian Decomposition Method and Sumudu Transform Higher Order Haar Wavelet Method for Solving Differential Equations Solution to Fractional Differential Equation Systems and Computation of Matrix Mittag-Leffler Functions Computation of Gram Matrix and Its Partial Derivative Using Precise Integration Method for Linear Time-Invariant Systems Matrix Iteration Algorithms for Solving the Generalized Lyapunov Matric Equation A Brief Summary of the Finite Element Method for Differential Equations An Efficient Finite Element Methods and Error Analysis for Eigenvalue Problem of Schrodinger Equation with an Inverse Square Potential on Spherical Domain Solving Fractional Differential Equations by Using Triangle Neural Ntework A Novel Improved Extreme Learning Machine Algorothm in Solving Ordinary Differential Equations by Legendre Neural Network Methods Bifurcation Theory of Dynamical Chaos Bifurcation Analysis in a Two-Dimensional Neural Differential Equation Observations on the Computation of Eigenvalue and Eigenvector Jacobians A Note on Some Nonlinear Principal Eigenvalue Problems Eigenvalue Criteria for Existence of Positive Solutions to Fractional Boundary Value Problem Boundary Value Problems of Nonlinear Mixed-Type Fractional Differential Equations

Summary: Applied Algebraic and Differential Calculus is an edited book consisting of 18 open-access articles on mathematical analysis and computational methodologies for solving differential equations, as well as matrix eigenvalue, boundary value, and bifurcation problems. It includes a variety of algebraic and numerical strategies from decomposition to neural network based methods.

Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	College Library General Circulation Section	GC	GC 515.33 Ap58 2022 (Browse shelf(Opens below))	Available	HNU004833

Includes bibliographical references and index.

The Eight Epochs of Math as Regards Past and Future Matrix Computations
Solving Second-Order Differential Equations by Decomposition
Decomposition of Ordinary Differential Equations
Solution to Nolinear Partial Differential Equatons by Mixture Adomian Decomposition Method and Sumudu Transform
Higher Order Haar Wavelet Method for Solving Differential Equations
Solution to Fractional Differential Equation Systems and Computation of Matrix Mittag-Leffler Functions
Computation of Gram Matrix and Its Partial Derivative Using Precise Integration Method for Linear Time-Invariant Systems
Matrix Iteration Algorithms for Solving the Generalized Lyapunov Matric Equation
A Brief Summary of the Finite Element Method for Differential Equations
An Efficient Finite Element Methods and Error Analysis for Eigenvalue Problem of Schrodinger Equation with an Inverse Square Potential on Spherical Domain
Solving Fractional Differential Equations by Using Triangle Neural Ntework
A Novel Improved Extreme Learning Machine Algorothm in Solving Ordinary Differential Equations by Legendre Neural Network Methods
Bifurcation Theory of Dynamical Chaos
Bifurcation Analysis in a Two-Dimensional Neural Differential Equation
Observations on the Computation of Eigenvalue and Eigenvector Jacobians
A Note on Some Nonlinear Principal Eigenvalue Problems
Eigenvalue Criteria for Existence of Positive Solutions to Fractional Boundary Value Problem
Boundary Value Problems of Nonlinear Mixed-Type Fractional Differential Equations

Applied Algebraic and Differential Calculus is an edited book consisting of 18 open-access articles on mathematical analysis and computational methodologies for solving differential equations, as well as matrix eigenvalue, boundary value, and bifurcation problems. It includes a variety of algebraic and numerical strategies from decomposition to neural network based methods.

College of Education Bachelor of Secondary Education major in Mathematics

In English

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