-------------------------------------------------------

ode45

ode15s

ode23

ode23s

ode113

-------------------------------------------------------

expm

eye

inv

size

-------------------------------------------------------

 

ode 45

 

ODE45 Solve non-stiff differential equations, medium order method. [T,Y] = ODE45(ODEFUN,TSPAN,Y0) with TSPAN = [T0 TFINAL] integrates the system of differential equations y' = f(t,y) from time T0 to TFINAL with initial conditions Y0. Function ODEFUN(T,Y) must return a column vector corresponding to f(t,y). Each row in the solution array Y corresponds to a time returned in the column vector T. To obtain solutions at specific times T0,T1,...,TFINAL (all increasing or all decreasing), use  TSPAN = [T0 T1 ... TFINAL].

 

[T,Y] = ODE45(ODEFUN,TSPAN,Y0,OPTIONS) solves as above with default integration properties replaced by values in OPTIONS, an argument created with the ODESET function. See ODESET for details. Commonly used options  are scalar relative error tolerance 'RelTol' (1e-3 by default) and vector of absolute error tolerances 'AbsTol' (all components 1e-6 by default).

 

[T,Y] = ODE45(ODEFUN,TSPAN,Y0,OPTIONS,P1,P2...) passes the additional parameters P1,P2,... to the ODE function as ODEFUN(T,Y,P1,P2...), and to all functions specified in OPTIONS. Use OPTIONS = [] as a place holder if no options are set.

 

ODE45 can solve problems M(t,y)*y' = f(t,y) with mass matrix M that is nonsingular. Use ODESET to set the 'Mass' property to a function MASS if MASS(T,Y) returns the value of the mass matrix. If the mass matrix is constant, the matrix can be used as the value of the 'Mass' option. If the mass matrix does not depend on the state variable Y and the function MASS is to be called with one input argument T, set 'MStateDependence' to 'none'. ODE15S and ODE23T can solve problems with singular mass matrices.

 

[T,Y,TE,YE,IE] = ODE45(ODEFUN,TSPAN,Y0,OPTIONS...) with the 'Events' property in OPTIONS set to a function EVENTS, solves as above while also finding where functions of (T,Y), called event functions, are zero. For each function you specify whether the integration is to terminate at a zero and whether the direction of the zero crossing matters. These are the three vectors returned by EVENTS: [VALUE,ISTERMINAL,DIRECTION] = EVENTS(T,Y). For the I-th event function: VALUE(I) is the value of the function, ISTERMINAL(I)=1 if the integration is to terminate at a zero of this event function and 0 otherwise. DIRECTION(I)=0 if all zeros are to be computed (the default), +1 if only zeros where the event function is increasing, and -1 if only zeros where the event function is decreasing. Output TE is a column vector of times at which events occur. Rows of YE are the corresponding solutions, and indices in vector IE specify which event occurred.

 

SOL = ODE45(ODEFUN,[T0 TFINAL],Y0...) returns a structure that can be  used with DEVAL to evaluate the solution at any point between T0 and TFINAL. The steps chosen by ODE45 are returned in a row vector SOL.x.  For each I, the column SOL.y(:,I) contains the solution at SOL.x(I).  If events were detected, SOL.xe is a row vector of points at which events occurred. Columns of SOL.ye are the corresponding solutions, and indices in vector SOL.ie specify which event occurred. If a terminal event has been detected, SOL.x(end) contains the end of the step at which the event occurred. The exact point of the event is reported in SOL.xe(end).

 

Example

[t,y]=ode45(@vdp1,[0 20],[2 0]);

plot(t,y(:,1));

solves the system y' = vdp1(t,y), using the default relative error tolerance 1e-3 and the default absolute tolerance of 1e-6 for each component, and plots the first component of the solution.

 

See also

other ODE solvers:ODE23, ODE113, ODE15S, ODE23S, ODE23T, ODE23TB

options handling: ODESET, ODEGET

output functions: ODEPLOT, ODEPHAS2, ODEPHAS3, ODEPRINT

evaluating solution: DEVAL

ODE examples: RIGIDODE, BALLODE, ORBITODE

 

NOTE:

The interpretation of the first input argument of the ODE solvers and some properties available through ODESET have changed in this version of MATLAB. Although we still support the v5 syntax, any new functionality is available only with the new syntax. To see the v5 help, type in the command line  more on, type ode45, more off

 

ode15s

 

ODE15S Solve stiff differential equations and DAEs, variable order method. [T,Y] = ODE15S(ODEFUN,TSPAN,Y0) with TSPAN = [T0 TFINAL] integrates the system of differential equations y' = f(t,y) from time T0 to TFINAL with initial conditions Y0. Function ODEFUN(T,Y) must return a column vector corresponding to f(t,y). Each row in the solution array Y corresponds to a time returned in the column vector T. To obtain solutions at specific times T0,T1,...,TFINAL (all increasing or all decreasing), use  TSPAN = [T0 T1 ... TFINAL].

 

[T,Y] = ODE15S(ODEFUN,TSPAN,Y0,OPTIONS) solves as above with default integration properties replaced by values in OPTIONS, an argument created with the ODESET function. See ODESET for details. Commonly used options are scalar relative error tolerance 'RelTol' (1e-3 by default) and vector of absolute error tolerances 'AbsTol' (all components 1e-6 by default).

 

[T,Y] = ODE15S(ODEFUN,TSPAN,Y0,OPTIONS,P1,P2...) passes the additional parameters P1,P2,... to the ODE function as ODEFUN(T,Y,P1,P2...), and to all functions specified in OPTIONS. Use OPTIONS = [] as a place holder if no options are set.

 

The Jacobian matrix df/dy is critical to reliability and efficiency. Use ODESET to set 'Jacobian' to a function FJAC if FJAC(T,Y) returns the Jacobian df/dy or to the matrix df/dy if the Jacobian is constant. If the 'Jacobian' option is not set (the default), df/dy is approximated by finite differences. Set 'Vectorized' 'on' if the ODE function is coded so that ODEFUN(T,[Y1 Y2 ...]) returns [ODEFUN(T,Y1) ODEFUN(T,Y2) ...]. If df/dy is a sparse matrix, set 'JPattern' to the sparsity pattern of df/dy, i.e., a sparse matrix S with S(i,j) = 1 if component i of f(t,y) depends on component j of y, and 0 otherwise.

 

ODE15S can solve problems M(t,y)*y' = f(t,y) with mass matrix M(t,y). Use ODESET to set the 'Mass' property to a function MASS if MASS(T,Y) returns the value of the mass matrix. If the mass matrix is constant, the matrix can be used as the value of the 'Mass' option. Problems with state-dependent mass matrices are more difficult. If the mass matrix does not depend on the state variable Y and the function MASS is to be called with one input argument T, set 'MStateDependence' to 'none'. If the mass matrix depends weakly on Y, set 'MStateDependence' to 'weak' (the default) and otherwise, to 'strong'. In either case the function MASS is to be called with the two arguments (T,Y). If there are many differential equations, it is important to exploit sparsity: Return a sparse M(t,y). Either supply the sparsity pattern of df/dy using the 'JPattern' property or a sparse df/dy using the Jacobian property. For strongly state-dependent M(t,y), set 'MvPattern' to a sparse matrix S with S(i,j) = 1 if for any k, the (i,k) component of M(t,y) depends on component j of y, and 0 otherwise.

 

If the mass matrix is non-singular, the solution of the problem is straightforward. See examples FEM1ODE, FEM2ODE, BATONODE, or BURGERSODE. If M(t0,y0) is singular, the problem is a differential- algebraic equation (DAE). ODE15S solves DAEs of index 1. DAEs have solutions only when y0 is consistent, i.e., there is a yp0 such that M(t0,y0)*yp0 = f(t0,y0). Use ODESET to set 'MassSingular' to 'yes', 'no', or 'maybe'. The default of 'maybe' causes ODE15S to test whether M(t0,y0) is singular. You can provide yp0 as the value of the 'InitialSlope' property. The default is the zero vector. If y0 and yp0 are not consistent, ODE15S treats them as guesses, tries to compute consistent values close to the guesses, and then goes on to solve the problem. See examples HB1DAE or AMP1DAE.

 

[T,Y,TE,YE,IE] = ODE15S(ODEFUN,TSPAN,Y0,OPTIONS...) with the 'Events' property in OPTIONS set to a function EVENTS, solves as above while also finding where functions of (T,Y), called event functions, are zero. For each function you specify whether the integration is to terminate at a zero and whether the direction of the zero crossing matters. These are the three vectors returned by EVENTS: [VALUE,ISTERMINAL,DIRECTION] = EVENTS(T,Y). For the I-th event function: VALUE(I) is the value of the function, ISTERMINAL(I)=1 if the integration is to terminate at a zero of this event function and 0 otherwise. DIRECTION(I)=0 if all zeros are to be computed (the default), +1 if only zeros where the event function is increasing, and -1 if only zeros where the event function is decreasing. Output TE is a column vector of times at which events occur. Rows of YE are the corresponding solutions, and indices in vector IE specify which event occurred.

 

SOL = ODE15S(ODEFUN,[T0 TFINAL],Y0...) returns a structure that can be used with DEVAL to evaluate the solution at any point between T0 and TFINAL. The steps chosen by ODE15S are returned in a row vector SOL.x.  For each I, the column SOL.y(:,I) contains the solution at SOL.x(I).  If events were detected, SOL.xe is a row vector of points at which events occurred. Columns of SOL.ye are the corresponding solutions, and indices in vector SOL.ie specify which event occurred. If a terminal event has been detected, SOL.x(end) contains the end of the step at which the event occurred. The exact point of the event is reported in SOL.xe(end).

 

Example

[t,y]=ode15s(@vdp1000,[0 3000],[2 0]);

plot(t,y(:,1));

solves the system y' = vdp1000(t,y), using the default relative error tolerance 1e-3 and the default absolute tolerance of 1e-6 for each component, and plots the first component of the solution.

 

See also

other ODE solvers: ODE23S, ODE23T, ODE23TB, ODE45, ODE23, ODE113

options handling: ODESET, ODEGET

output functions: ODEPLOT, ODEPHAS2, ODEPHAS3, ODEPRINT

evaluating solution: DEVAL

ODE examples: VDPODE, FEM1ODE, BRUSSODE, HB1DAE

 

NOTE:

The interpretation of the first input argument of the ODE solvers and some properties available through ODESET have changed in this version of MATLAB. Although we still support the v5 syntax, any new functionality is available only with the new syntax. To see the v5 help type in the command line  more on, type ode15s, more off

 

ode23

 

ODE23 Solve non-stiff differential equations, low order method. [T,Y] = ODE23(ODEFUN,TSPAN,Y0) with TSPAN = [T0 TFINAL] integrates the system of differential equations y' = f(t,y) from time T0 to TFINAL with initial conditions Y0. Function ODEFUN(T,Y) must return a column vector corresponding to f(t,y). Each row in the solution array Y corresponds to a time returned in the column vector T. To obtain solutions at specific times T0,T1,...,TFINAL (all increasing or all decreasing), use  TSPAN = [T0 T1 ... TFINAL].

 

[T,Y] = ODE23(ODEFUN,TSPAN,Y0,OPTIONS) solves as above with default integration properties replaced by values in OPTIONS, an argument created  with the ODESET function. See ODESET for details. Commonly used options are scalar relative error tolerance 'RelTol' (1e-3 by default) and vector of absolute error tolerances 'AbsTol' (all components 1e-6 by default)

 

[T,Y] = ODE23(ODEFUN,TSPAN,Y0,OPTIONS,P1,P2,...) passes the additional parameters P1,P2,... to the ODE function as ODEFUN(T,Y,P1,P2...), and to all functions specified in OPTIONS. Use OPTIONS = [] as a place holder if no options are set.

 

ODE23 can solve problems M(t,y)*y' = f(t,y) with mass matrix M that is nonsingular. Use ODESET to set the 'Mass' property to a function MASS if MASS(T,Y) returns the value of the mass matrix. If the mass matrix is constant, the matrix can be used as the value of the 'Mass' property. If the mass matrix does not depend on the state variable Y and the function MASS is to be called with one input argument T, set 'MStateDependence' to 'none'. ODE15S and ODE23T can solve problems with singular mass matrices.

 

[T,Y,TE,YE,IE] = ODE23(ODEFUN,TSPAN,Y0,OPTIONS...) with the 'Events' property in OPTIONS set to a function EVENTS, solves as above while also finding where functions of (T,Y), called event functions, are zero. For each function you specify whether the integration is to terminate at a zero and whether the direction of the zero crossing matters. These are the three vectors returned by EVENTS: [VALUE,ISTERMINAL,DIRECTION] = EVENTS(T,Y). For the I-th event function: VALUE(I) is the value of the function, ISTERMINAL(I)=1 if the integration is to terminate at a zero of this event function and 0 otherwise. DIRECTION(I)=0 if all zeros are to be computed (the default), +1 if only zeros where the event function is increasing, and -1 if only zeros where the event function is decreasing. Output TE is a column vector of times at which events occur. Rows of YE are the corresponding solutions, and indices in vector IE specify which event occurred.

 

SOL = ODE23(ODEFUN,[T0 TFINAL],Y0...) returns a structure that can be used with DEVAL to evaluate the solution at any point between T0 and TFINAL. The steps chosen by ODE23 are returned in a row vector SOL.x.  For each I, the column SOL.y(:,I) contains the solution at SOL.x(I).  If events were detected, SOL.xe is a row vector of points at which events occurred. Columns of SOL.ye are the corresponding solutions, and indices in vector SOL.ie specify which event occurred. If a terminal event has been detected, SOL.x(end) contains the end of the step at which the event occurred. The exact point of the event is reported in SOL.xe(end).

 

Example

[t,y]=ode23(@vdp1,[0 20],[2 0]);

plot(t,y(:,1));

solves the system y' = vdp1(t,y), using the default relative error tolerance 1e-3 and the default absolute tolerance of 1e-6 for each component, and plots the first component of the solution.  

 

See also

other ODE solvers: ODE45, ODE113, ODE15S, ODE23S, ODE23T, ODE23TB

options handling: ODESET, ODEGET

output functions: ODEPLOT, ODEPHAS2, ODEPHAS3, ODEPRINT

evaluating solution: DEVAL

ODE examples: RIGIDODE, BALLODE, ORBITODE

 

NOTE:

The interpretation of the first input argument of the ODE solvers and some properties available through ODESET have changed in this version of MATLAB. Although we still support the v5 syntax, any new functionality is available only with the new syntax. To see the v5 help, type in the command line  more on, type ode23, more off

 

ode23s

 

ODE23S Solve stiff differential equations, low order method. [T,Y] = ODE23S(ODEFUN,TSPAN,Y0) with TSPAN = [T0 TFINAL] integrates the system of differential equations y' = f(t,y) from time T0 to TFINAL with initial conditions Y0. Function ODEFUN(T,Y) must return a column vector corresponding to f(t,y). Each row in the solution array Y corresponds to a time returned in the column vector T. To obtain solutions at specific times T0,T1,...,TFINAL (all increasing or all decreasing), use  TSPAN = [T0 T1 ... TFINAL].

 

[T,Y] = ODE23S(ODEFUN,TSPAN,Y0,OPTIONS) solves as above with default integration properties replaced by values in OPTIONS, an argument created with the ODESET function. See ODESET for details. Commonly used options are scalar relative error tolerance 'RelTol' (1e-3 by default) and vector of absolute error tolerances 'AbsTol' (all components 1e-6 by default).

 

[T,Y] = ODE23S(ODEFUN,TSPAN,Y0,OPTIONS,P1,P2...) passes the additional parameters P1,P2,... to the ODE function as ODEFUN(T,Y,P1,P2...), and to all functions specified in OPTIONS. Use OPTIONS = [] as a place holder if no options are set.

 

The Jacobian matrix df/dy is critical to reliability and efficiency. Use ODESET to set 'Jacobian' to a function FJAC if FJAC(T,Y) returns the Jacobian df/dy or to the matrix df/dy if the Jacobian is constant. If the 'Jacobian' option is not set (the default), df/dy is approximated by finite differences. Set 'Vectorized' 'on' if the ODE function is coded so that ODEFUN(T,[Y1 Y2 ...]) returns [ODEFUN(T,Y1) ODEFUN(T,Y2) ...]. If df/dy is a sparse matrix, set 'JPattern' to the sparsity pattern of df/dy, i.e., a sparse matrix S with S(i,j) = 1 if component i of f(t,y) depends on component j of y, and 0 otherwise.

 

ODE23S can solve problems M*y' = f(t,y) with a constant mass matrix M that is nonsingular. Use ODESET to set the 'Mass' property to the mass matrix. If there are many differential equations, it is important to exploit sparsity: Use a sparse M. Either supply the sparsity pattern of df/dy using the 'JPattern' property or a sparse df/dy using the Jacobian property. ODE15S and ODE23T can solve problems with singular mass matrices.

 

[T,Y,TE,YE,IE] = ODE23S(ODEFUN,TSPAN,Y0,OPTIONS...) with the 'Events' property in OPTIONS set to a function EVENTS, solves as above while also finding where functions of (T,Y), called event functions, are zero. For each function you specify whether the integration is to terminate at a zero and whether the direction of the zero crossing matters. These are the three vectors returned by EVENTS: [VALUE,ISTERMINAL,DIRECTION] = EVENTS(T,Y). For the I-th event function: VALUE(I) is the value of the function, ISTERMINAL(I)=1 if the integration is to terminate at a zero of this event function and 0 otherwise. DIRECTION(I)=0 if all zeros are to be computed (the default), +1 if only zeros where the event function is increasing, and -1 if only zeros where the event function is decreasing. Output TE is a column vector of times at which events occur. Rows of YE are the corresponding solutions, and indices in vector IE specify which event occurred.

 

SOL = ODE23S(ODEFUN,[T0 TFINAL],Y0...) returns a structure that can be used with DEVAL to evaluate the solution at any point between T0 and TFINAL. The steps chosen by ODE23S are returned in a row vector SOL.x.  For each I, the column SOL.y(:,I) contains the solution at SOL.x(I).  If events were detected, SOL.xe is a row vector of points at which events occurred. Columns of SOL.ye are the corresponding solutions, and indices in vector SOL.ie specify which event occurred. If a terminal event has been detected, SOL.x(end) contains the end of the step at which the event occurred. The exact point of the event is reported in SOL.xe(end).

 

Example

[t,y]=ode23s(@vdp1000,[0 3000],[2 0]);

plot(t,y(:,1));

solves the system y' = vdp1000(t,y), using the default relative error tolerance 1e-3 and the default absolute tolerance of 1e-6 for each component, and plots the first component of the solution.

 

See also

other ODE solvers: ODE15S, ODE23T, ODE23TB, ODE45, ODE23, ODE113

options handling: ODESET, ODEGET

output functions: ODEPLOT, ODEPHAS2, ODEPHAS3, ODEPRINT

evaluating solution: DEVAL

ODE examples: VDPODE, BRUSSODE

 

NOTE:

The interpretation of the first input argument of the ODE solvers and some properties available through ODESET have changed in this version of MATLAB. Although we still support the v5 syntax, any new functionality is available only with the new syntax. To see the v5 help type in the command line  more on, type ode23s, more off

 

ode113

 

ODE113 Solve non-stiff differential equations, variable order method. [T,Y] = ODE113(ODEFUN,TSPAN,Y0) with TSPAN = [T0 TFINAL] integrates the system of differential equations y' = f(t,y) from time T0 to TFINAL with initial conditions Y0. Function ODEFUN(T,Y) must return a column vector corresponding to f(t,y). Each row in the solution array Y corresponds to a time returned in the column vector T. To obtain solutions at specific times T0,T1,...,TFINAL (all increasing or all decreasing), use  TSPAN = [T0 T1 ... TFINAL].

 

[T,Y] = ODE113(ODEFUN,TSPAN,Y0,OPTIONS) solves as above with default integration properties replaced by values in OPTIONS, an argument created with the ODESET function. See ODESET for details. Commonly used options are scalar relative error tolerance 'RelTol' (1e-3 by default) and vector of absolute error tolerances 'AbsTol' (all components 1e-6 by default).

 

[T,Y] = ODE113(ODEFUN,TSPAN,Y0,OPTIONS,P1,P2...) passes the additional parameters P1,P2,... to the ODE function as ODEFUN(T,Y,P1,P2...), and to all functions specified in OPTIONS. Use OPTIONS = [] as a place holder if no options are set.

 

ODE113 can solve problems M(t,y)*y' = f(t,y) with mass matrix M that is nonsingular. Use ODESET to set the 'Mass' property to a function MASS if MASS(T,Y) returns the value of the mass matrix. If the mass matrix is constant, the matrix can be used as the value of the 'Mass' option. If the mass matrix does not depend on the state variable Y and the function MASS is to be called with one input argument T, set 'MStateDependence' to 'none'. ODE15S and ODE23T can solve problems with singular mass matrices.

 

[T,Y,TE,YE,IE] = ODE113(ODEFUN,TSPAN,Y0,OPTIONS...) with the 'Events' property in OPTIONS set to a function EVENTS, solves as above while also finding where functions of (T,Y), called event functions, are zero. For each function you specify whether the integration is to terminate at a zero and whether the direction of the zero crossing matters. These are the three vectors returned by EVENTS: [VALUE,ISTERMINAL,DIRECTION] = EVENTS(T,Y). For the I-th event function: VALUE(I) is the value of the function, ISTERMINAL(I)=1 if the integration is to terminate at a zero of this event function and 0 otherwise. DIRECTION(I)=0 if all zeros are to be computed (the default), +1 if only zeros where the event function is increasing, and -1 if only zeros where the event function is decreasing. Output TE is a column vector of times at which events occur. Rows of YE are the corresponding solutions, and indices in vector IE specify which event occurred.

 

SOL = ODE113(ODEFUN,[T0 TFINAL],Y0...) returns a structure that can be used with DEVAL to evaluate the solution at any point between T0 and TFINAL. The steps chosen by ODE113 are returned in a row vector SOL.x.  For each I, the column SOL.y(:,I) contains the solution at SOL.x(I).  If events were detected, SOL.xe is a row vector of points at which events occurred. Columns of SOL.ye are the corresponding solutions, and indices in vector SOL.ie specify which event occurred. If a terminal event has been detected, SOL.x(end) contains the end of the step at which the event occurred. The exact point of the event is reported in SOL.xe(end).

 

Example

[t,y]=ode113(@vdp1,[0 20],[2 0]);

plot(t,y(:,1));

solves the system y' = vdp1(t,y), using the default relative error tolerance 1e-3 and the default absolute tolerance of 1e-6 for each component, and plots the first component of the solution.

 

See also

other ODE solvers: ODE45, ODE23, ODE15S, ODE23S, ODE23T, ODE23TB

options handling: ODESET, ODEGET

output functions: ODEPLOT, ODEPHAS2, ODEPHAS3, ODEPRINT

evaluating solution: DEVAL

ODE examples: RIGIDODE, BALLODE, ORBITODE

 

NOTE:

The interpretation of the first input argument of the ODE solvers and some properties available through ODESET have changed in this version of MATLAB. Although we still support the v5 syntax, any new functionality is available only with the new syntax. To see the v5 help, type in the command line  more on, type ode113, more off

 

EXPM Matrix exponential.

 

EXPM(X) is the matrix exponential of X.  EXPM is computed using a scaling and squaring algorithm with a Pade approximation.

Although it is not computed this way, if X has a full set of eigenvectors V with corresponding eigenvalues D, then [V,D] = EIG(X) and EXPM(X) = V*diag(exp(diag(D)))/V.

EXP(X) computes the exponential of X element-by-element.

 

See also LOGM, SQRTM, FUNM.

Overloaded methods:

    help sym/expm.m

 

EYE Identity matrix.

 

EYE(N) is the N-by-N identity matrix.

EYE(M,N) or EYE([M,N]) is an M-by-N matrix with 1's on the diagonal and zeros elsewhere.

EYE(SIZE(A)) is the same size as A.

 

See also ONES, ZEROS, RAND, RANDN.

 

INV Matrix inverse.

 

INV(X) is the inverse of the square matrix X.

A warning message is printed if X is badly scaled or nearly singular.

 

See also SLASH, PINV, COND, CONDEST, LSQNONNEG, LSCOV.

 

Overloaded methods:

    help zpk/inv.m

    help tf/inv.m

    help ss/inv.m

    help lti/inv.m

    help frd/inv.m

    help idmodel/inv.m

    help sym/inv.m

 

SIZE Size of matrix.

 

D = SIZE(X), for M-by-N matrix X, returns the two-element row vector D = [M, N] containing the number of rows and columns in the matrix.  For N-D arrays, SIZE(X) returns a 1-by-N vector of dimension lengths.  Trailing singleton dimensions are ignored.

 

[M,N] = SIZE(X) returns the number of rows and columns in separate output variables. [M1,M2,M3,...,MN] = SIZE(X) returns the length of the first N dimensions of X.

 

M = SIZE(X,DIM) returns the length of the dimension specified by the scalar DIM.  For example, SIZE(X,1) returns the number of rows.

 

When SIZE is applied to a Java array, the number of rows returned is the length of the Java array and the number of columns is always 1.  When SIZE is applied to a Java array of arrays, the result describes only the top level array in the array of arrays.

See also LENGTH, NDIMS.

 

Overloaded methods:

    help serial/size.m

    help zpk/size.m

    help tf/size.m

    help ss/size.m

    help frd/size.m

    help daqdevice/size.m

    help daqchild/size.m

    help fints/size.m

    help idmodel/size.m

    help idfrd/size.m

    help iddata/size.m

    help visa/size.m

    help gpib/size.m