
Explicit and implicit methods
Explicit and implicit methods are approaches used in numerical analysis for obtaining numerical approximations to the solutions of time-dependent ordinary and partial differential equations, as is required in computer simulations of physical processes. Explicit methods calculate the state of a system at a later time from the state of the system at the current time, while implicit methods find a solution by solving an equation involving both the current state of the system and the later one. Mathematically, if is the current system state and is the state at the later time ( is a small time step), then, for an explicit method
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- enExplicit and implicit methods are approaches used in numerical analysis for obtaining numerical approximations to the solutions of time-dependent ordinary and partial differential equations, as is required in computer simulations of physical processes. Explicit methods calculate the state of a system at a later time from the state of the system at the current time, while implicit methods find a solution by solving an equation involving both the current state of the system and the later one. Mathematically, if is the current system state and is the state at the later time ( is a small time step), then, for an explicit method
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- enExplicit and implicit methods are approaches used in numerical analysis for obtaining numerical approximations to the solutions of time-dependent ordinary and partial differential equations, as is required in computer simulations of physical processes. Explicit methods calculate the state of a system at a later time from the state of the system at the current time, while implicit methods find a solution by solving an equation involving both the current state of the system and the later one. Mathematically, if is the current system state and is the state at the later time ( is a small time step), then, for an explicit method while for an implicit method one solves an equation to find
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- Backward Euler method
- Category:Numerical differential equations
- Computer simulation
- Courant–Friedrichs–Lewy condition
- Crank-Nicolson method
- Discretization
- Euler method
- File:Comparison between Foward-Backward-Euler and Foward-Euler.png
- File:Result of applying integration schemes.png
- Newton's method
- Numerical analysis
- Numerical ordinary differential equations
- Numerical stability
- Ordinary differential equation
- Partial differential equation
- Process (science)
- Quadratic equation
- Root-finding algorithm
- Root of a function
- SIMPLE algorithm
- Stiff equation
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- 4jo5r
- Formulation implicite ou explicite d'un problème de dynamique
- Métodos explícitos e implícitos
- Q5421265
- 顯式和隱式方法
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- Category:Numerical differential equations
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