英語 での Differential equations の使用例とその 日本語 への翻訳
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Ordinary Differential Equations.
We first captured the dynamics with a set of differential equations.
Ordinary Differential Equations(Honours).
Another example is separation of variables when solving differential equations.
The majority of differential equations cannot be solved exactly.
Pathological solutions of elliptic differential equations.
Partial Differential Equations by Evans.
Elliptic-Hyperbolic Partial Differential Equations.
Ordinary Differential Equations(Paperback).
Anticipated backward stochastic differential equations.
Solving differential equations using power-series expansion(2 hrs).
He currently teaches differential equations.
Besides, there are not sufficient works about algorithsm for strongly non-linear field models orstochastic differential equations.
The non-linear differential equations are solved analytically.
On Fuches 's Research Concerning Linear Differential Equations.
On nonlinear partial differential equations involving the Dirichlet energy.
Very quickly science, and religion, came to rely on linear differential equations.
My fifty years of differential equations(JAPANESE).
On the numerical analysis of stochastic partial differential equations.
During this time he encountered differential equations that he could only solve numerically.
MATLAB offers several numerical algorithms to solve a wide variety of differential equations:.
Introduction to differential equations with dynamical systems.
Scilab has a built-in function to solve ordinary differential equations(ODE).
Solve differential equations of any order. Examine solutions and plots of the solution families. Specify initial conditions to find exact solutions.
Numerical Solution of Elliptic and Parabolic Partial Differential Equations with CD-ROM.
Numerical solution of stochastic differential equations and especially stochastic partial differential equations is a young field relatively speaking.
You could spend 10 years learning physics andyou write down the Navier-Stokes equations: the differential equations of fluid dynamics.
Hamilton's principle states that the differential equations of motion for any physical system can be re-formulated as an equivalent integral equation. .
Knowledge of probability theory, stochastic calculus, numerical methods,Monte-Carlo simulation, differential equations, econometrics, and statistical modeling.
Course Aims In this course,you will learn control methods based on nonlinear differential equations, and also analytical methods of(mechanical) performance.