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| + | ==메타데이터== | ||
| + | ===위키데이터=== | ||
| + | * ID : [https://www.wikidata.org/wiki/Q10167591 Q10167591] | ||
| + | ===Spacy 패턴 목록=== | ||
| + | * [{'LOWER': 'initial'}, {'LOWER': 'value'}, {'LEMMA': 'problem'}] | ||
| + | * [{'LOWER': 'cauchy'}, {'LEMMA': 'problem'}] | ||
2021년 2월 16일 (화) 23:54 기준 최신판
노트
위키데이터
- ID : Q10167591
말뭉치
- Modeling a system in physics or other sciences frequently amounts to solving an initial value problem.[1]
- An older proof of the Picard–Lindelöf theorem constructs a sequence of functions which converge to the solution of the integral equation, and thus, the solution of the initial value problem.[1]
- Hiroshi Okamura obtained a necessary and sufficient condition for the solution of an initial value problem to be unique.[1]
- In the preceding pages we have developed several substantially different theories of initial value problems, using hypotheses of Lipschitz conditions, compactness, isotonicity, and dissipativeness.[2]
- Programs intended for non-stiff initial value problems perform very poorly when applied to a stiff system.[3]
- Although most initial value problems are not stiff, many important problems are, so special methods have been developed that solve them effectively.[3]
- With standard assumptions about the initial value problem, the cumulative effect grows no more than linearly for a one-step method.[3]
- It is inefficient and perhaps impractical to solve with constant step size an initial value problem with a solution that exhibits regions of sharp change.[3]
- See the section on initial value problems for an example of how this is achieved.[4]
- However, its success depends on a number of factors the most important of which is the stability of the initial value problem that must be solved at each iteration.[4]
- the corresponding initial value problems (beginning from either endpoint and integrating towards the other endpoint) are insufficiently stable for shooting to succeed.[4]
- The purpose of the present book is to solve initial value problems in classes of generalized analytic functions as well as to explain the functional-analytic background material in detail.[5]
- Most initial value problems for ordinary differential equations and partial differential equations are solved in this way.[6]
- A differential equation together with an initial condition is called an initial value problem.[7]
- A solution to an initial value problem is a solution to the differential equation that also satisfies the initial condition.[7]
- Explain why the following functions are not solutions to the given initial value problems.[7]
- An initial value problem is a problem that has its conditions specified at some time .[8]
- where denotes the boundary of , is an initial value problem.[8]
- The Initial Value Problems (IVPs) that we will study are essentially just antiderivatives with an initial condition applied, which allows us to obtain the value of " ", the constant of integration.[9]
- The particular solution of the initial value problem is a function that satisfies both the differential equation and the initial condition.[10]
- Explicit formulas for the solutions of initial value problems with both zero and nonzero initial functions are obtained.[11]
소스
- ↑ 1.0 1.1 1.2 Initial value problem
- ↑ Initial-Value Problem - an overview
- ↑ 3.0 3.1 3.2 3.3 Initial value problems
- ↑ 4.0 4.1 4.2 Boundary value problem
- ↑ Solution of Initial Value Problems in Classes of Generalized Analytic Functions
- ↑ Initial value problem | mathematics
- ↑ 7.0 7.1 7.2 Introduction to Differential Equations, part 2
- ↑ 8.0 8.1 Initial Value Problem -- from Wolfram MathWorld
- ↑ Initial Value Problems
- ↑ Antiderivatives and Initial Value Problems
- ↑ Explicit solutions of initial value problems for systems of linear Riemann–Liouville fractional differential equations with constant delay
메타데이터
위키데이터
- ID : Q10167591
Spacy 패턴 목록
- [{'LOWER': 'initial'}, {'LOWER': 'value'}, {'LEMMA': 'problem'}]
- [{'LOWER': 'cauchy'}, {'LEMMA': 'problem'}]