版本1.1.8269.16536
Functions
Additional components that add new mathematical functions to the SMath Studio program, necessary for solving problems from various fields.
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dn_AdamsMoulton("1:function", "2:function", "3:number")
(ode,y(x),xmax) uses the Adams-Moulton method. -
dn_AdamsMoulton("1:function", "2:function", "3:number", "4:number")
(ode,y(x),xmax,steps) uses the Adams-Moulton method. -
dn_AdamsMoulton("1:vector", "2:number", "3:number", "4:number", "5:function")
(ics,xmin,xmax,steps,D(x,y)) uses the Adams-Moulton method. -
dn_ExplicitRK45("1:function", "2:function", "3:number")
(ode,y(x),xmax) uses the explicit Runge-Kutta (4)5 method. -
dn_ExplicitRK45("1:function", "2:function", "3:number", "4:number")
(ode,y(x),xmax,steps) uses the explicit Runge-Kutta (4)5 method. -
dn_ExplicitRK45("1:vector", "2:number", "3:number", "4:number", "5:function")
(ics,xmin,xmax,steps,D(x,y)) uses the explicit Runge-Kutta (4)5 method. -
dn_GearsBDF("1:function", "2:function", "3:number")
(ode,y(x),xmax) uses the Gear’s BDF method. -
dn_GearsBDF("1:function", "2:function", "3:number", "4:number")
(ode,y(x),xmax,steps) uses the Gear’s BDF method. -
dn_GearsBDF("1:vector", "2:number", "3:number", "4:number", "5:function")
(ics,xmin,xmax,steps,D(x,y)) uses the Gear’s BDF method. -
dn_ImplicitRK5("1:function", "2:function", "3:number")
(ode,y(x),xmax) uses the implicit Runge-Kutta 5 method. -
dn_ImplicitRK5("1:function", "2:function", "3:number", "4:number")
(ode,y(x),xmax,steps) uses the implicit Runge-Kutta 5 method. -
dn_ImplicitRK5("1:vector", "2:number", "3:number", "4:number", "5:function")
(ics,xmin,xmax,steps,D(x,y)) uses the implicit Runge-Kutta 5 method. -
dn_LinAlgEigenvalues("matrix")
( A ) computes the eigenvalues of a square matrix (general, symmetric, symmetric band and complex general matrices). -
dn_LinAlgEigenvectors("matrix")
( A ) computes the eigenvectors of a square matrix (general, symmetric, symmetric band and complex general matrices). -
dn_LinAlgLLS_COF("1:matrix", "2:vector")
( A, B ) computes the minimum-norm solution to a real linear least squares problem. Using a omplete orthogonal factorization of A. -
dn_LinAlgLLS_QRorLQ("1:matrix", "2:vector")
( A, B ) computes the minimum-norm solution to a real linear least squares problem. Using a QR or LQ factorization of A. -
dn_LinAlgLLS_SVD("1:matrix", "2:vector")
( A, B ) computes the minimum-norm solution to a real linear least squares problem. Using the singular value decomposition of A. -
dn_LinAlgSolve("1:matrix", "2:vector")
( A, B ) computes the solution to a real system of linear equations (general, band and tridiagonal matrices): A * X = B. -
dn_LinAlgSVD("matrix")
( A ) computes the singular value decomposition (SVD) of a real M-by-N matrix: A = U * S * transpose(V). -
dn_MatrixInverse("matrix")
( A ) calculate the inverse matrix.