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In numerical analysis, the Cash–Karp method is a method for solving ordinary differential equations (ODEs). It was proposed by Professor Jeff R. Cash from Imperial College London and Alan H. Karp from IBM Scientific Center. The method is a member of the Runge–Kutta family of ODE solvers. More specifically, it uses six function evaluations to calculate fourth- and fifth-order accurate solutions. The difference between these solutions is then taken to be the error of the (fourth order) solution. This error estimate is very convenient for adaptive stepsize integration algorithms. Other similar integration methods are Fehlberg (RKF) and Dormand–Prince (RKDP).

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  • طريقة كاش-كارب هي إحدى أساليب رونج-كوتا في التحليل العددي ولحل المعادلات التفاضلية العادية. (ar)
  • In numerical analysis, the Cash–Karp method is a method for solving ordinary differential equations (ODEs). It was proposed by Professor Jeff R. Cash from Imperial College London and Alan H. Karp from IBM Scientific Center. The method is a member of the Runge–Kutta family of ODE solvers. More specifically, it uses six function evaluations to calculate fourth- and fifth-order accurate solutions. The difference between these solutions is then taken to be the error of the (fourth order) solution. This error estimate is very convenient for adaptive stepsize integration algorithms. Other similar integration methods are Fehlberg (RKF) and Dormand–Prince (RKDP). The Butcher tableau is: The first row of b coefficients gives the fifth-order accurate solution, and the second row gives the fourth-order solution. (en)
  • Em análise numérica, Cash-Karp é um método para a resolução de equações diferenciais ordinárias (EDOs). Ele é um dos métodos tipo Runge-Kutta para a resolução numérica de equações diferenciais. De fato, ele faz seis avaliações de função para calcular soluções acuradas de quarta e quinta ordem. A diferença entre elas é então tomada como erro para a aproximação de quarta ordem. Essa estimativa do erro é bastante conveniente para algoritmos de integração com tamanho de passo adaptativo. Outros métodos similares são o (RKF) e o método Dormand-Prince (RKDP). A matriz de Butcher do método é: Nesta tabela, a primeira linha de b fornece a solução acurada de quinta ordem, e a segunda tem ordem quatro. (pt)
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  • طريقة كاش-كارب هي إحدى أساليب رونج-كوتا في التحليل العددي ولحل المعادلات التفاضلية العادية. (ar)
  • In numerical analysis, the Cash–Karp method is a method for solving ordinary differential equations (ODEs). It was proposed by Professor Jeff R. Cash from Imperial College London and Alan H. Karp from IBM Scientific Center. The method is a member of the Runge–Kutta family of ODE solvers. More specifically, it uses six function evaluations to calculate fourth- and fifth-order accurate solutions. The difference between these solutions is then taken to be the error of the (fourth order) solution. This error estimate is very convenient for adaptive stepsize integration algorithms. Other similar integration methods are Fehlberg (RKF) and Dormand–Prince (RKDP). (en)
  • Em análise numérica, Cash-Karp é um método para a resolução de equações diferenciais ordinárias (EDOs). Ele é um dos métodos tipo Runge-Kutta para a resolução numérica de equações diferenciais. De fato, ele faz seis avaliações de função para calcular soluções acuradas de quarta e quinta ordem. A diferença entre elas é então tomada como erro para a aproximação de quarta ordem. Essa estimativa do erro é bastante conveniente para algoritmos de integração com tamanho de passo adaptativo. Outros métodos similares são o (RKF) e o método Dormand-Prince (RKDP). A matriz de Butcher do método é: (pt)
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  • طريقة كاش-كارب (ar)
  • Cash–Karp method (en)
  • Método de Cash-Karp (pt)
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