Numerical differential equation

Part 1 of ebook "Numerical methods using MATLAB® (Third edition)" provides readers with contents including: Chapter 1  An introduction to Matlab®; Chapter 2  Linear equations and eigensystems; Chapter 3  Solution of nonlinear equations; Chapter 4  Differentiation and integration; Chapter 5  Solution of differential equations;...
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Part 2 book "Introduction to numerical programming" includes contents: Eigenvalue problems, modeling of tabulated functions, integration of functions, monte carlo method, ordinary differential equations, partial differential equations.
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In this paper, we consider a boundary value problem for a fully fourthorder nonlinear functional differential equation which contains all lower derivatives of proportional delay arguments. By the reduction of the problem to operator equation for the righthand side nonlinear function, we establish the existence and uniqueness of the solution and construct iterative methods on both continuous and discrete levels for solving it.
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Ebook "Digital simulation in electrochemistry (Fourth edition)" explains how the partial differential equations (pdes) in electroanalytical chemistry can be solved numerically. It guides the reader through the topic in a very didactic way, by first introducing and discussing the basic equations along with some model systems as test cases systematically. Then it outlines basic numerical approximations for derivatives and techniques for the numerical solution of ordinary differential equations. Finally, more complicated methods for approaching the pdes are derived.
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Part 1 book "Numerical methods for chemical engineers with MATLAB applications" includes content: Numerical solution of nonlinear equations, numerical solution of simultaneous linear algebraic equations, finite difference methods and interpolation, numerical differentiation and integration.
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Part 2 book "Numerical methods for chemical engineers with MATLAB applications" includes content: Numerical solution of ordinary differential equations; numerical solution of partial differential equations; linear and nonlinear regression analysis.
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Part 2 book "Chemical and biomedical engineering calculations using python" includes content: Regression, nonlinear equations, statistics, numerical differentiation and integration, initial value problems, boundary value problems, partial differential equations, finite element method.
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Part 2 book "Applied mathematical methods for chemical engineers" includes content: Parital differential equations, applications of partial differential equations in chemical engineering, dimensional analysis and scaling of boundary value problems, selected numerical methods and available software packages.
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Ebook "Computational methods in chemical engineering with maple" presents Maple solutions to a wide range of problems relevant to chemical engineers and others. Many of these solutions use Maple’s symbolic capability to help bridge the gap between analytical and numerical solutions. The readers are strongly encouraged to refer to the references included in the book for a better understanding of the physics involved, and for the mathematical analysis.
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Part 1 book "Advanced engineering mathematics" includes content: Introduction to differential equations; first order differential equations; higher order differential equations; the laplace transform; series solutions of linear differential equations; numerical solutions of ordinary differential equations; vectors; matrices; vector calculus.
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Part 2 book "Advanced engineering mathematics" includes content: Vectors; matrices; vector cal; systems of linear differential equations; systems of nonlinear differential equationsculus; orthogonal functions and fourier series; boundary value problems in rectangular coordinates; boundary value problems in other coordinate systems; integral transform method; numerical solutions of partial differential equations; functions of a complex variable; integration in the complex plane; series and residues; conformal mappings.
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Part 2 book "Engineering mathematics" includes content: Techniques of integration; applications of integration; further topics in integration, numerical integration; Taylor polynomials, Taylor series and Maclaurin series, ordinary differential equations; ordinary differential equations; the Laplace transform; difference equations and the Z transform; fourier series; the Fourier transform; functions of several variables; vector calculus; line integrals and multiple integrals; probability; statistics and probability distributions.
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Part 2 book "Numerical methods for engineers" includes content: Least squares regression; interpolation; fourier approximation; case studies  curve fitting; Newton cotes integration formulas; integration of equations; numerical differentiation; case studies  numerical integration and differentiation; RungeKutta methods; stiffness and multistep methods; boundary value and eigenvalue problems; case studies  ordinary differential equations,... and other contents.
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Part 1 book "Advanced modern engineering mathematics" includes content: Matrix analysis, numerical solution of ordinary differential equations, vector calculus, functions of a complex variable, laplace transforms.
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Part 1 book "Advanced engineering mathematics" includes content: Introduction to differential equations; first order differential equations; higher order differential equations; the laplace transform; series solutions of linear differential equations; numerical solutions of ordinary differential equations; vectors; matrices; vector calculus.
609p muasambanhan06 03022024 2 1 Download

Part 2 book "Advanced engineering mathematics" includes content: Systems of linear differential equations; systems of nonlinear differential equations; orthogonal functions and fourier series; boundary value problems in rectangular coordinates; boundary value problems in other coordinate systems; integral transform method; numerical solutions of partial differential equations; unctions of a complex variable; integration in the complex plane; series and residues; conformal mappings.
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Part 1 book "Computational physics  Simulation of classical and quantum systems" includes content: Error analysis, interpolation, numerical differentiation, numerical integration, systems of inhomogeneous linear equations, roots and extremal points, fourier transformation, time frequency analysis, random numbers and monte carlo methods, eigenvalue problems, data fitting, discretization of differential equations.
337p muasambanhan02 18122023 5 3 Download

Part 1 of ebook "Physics of oscillations and waves: With use of Matlab and Python" provides readers with contents including: Chapter 1  Introduction; Chapter 2  Free and damped oscillations; Chapter 3  Forced oscillations and resonance; Chapter 4  Numerical methods; Chapter 5  Fourier analysis; Chapter 6  Waves; Chapter 7  Sound; Chapter 8  Dispersion and waves on water; Chapter 9  Electromagnetic waves;...
304p dangsovu 20102023 10 7 Download

Ebook "Numerical methods in engineering with python" includes content: Introduction to python, systems of linear algebraic equations, interpolation and curve fitting, roots of equations, numerical differentiation, numerical integration, initial value problems, two point boundary value problems, symmetric matrix eigenvalue problems, introduction to optimization.
434p haojiubujain07 20092023 3 3 Download

Continued part 1, part 2 of ebook "Programming for computations – Python: A gentle introduction to numerical simulations with Python 3.6" provides readers with contents including: computing integrals and testing code; solving nonlinear algebraic equations; solving ordinary differential equations; solving partial differential equations; a installation and use of python;...
199p tieulangtran 28092023 7 3 Download