MATLAB COMPILER RELEASE NOTES User's Guide download pdf (Page 680)

100

101

R14SP3

23-16

Function Modified Behavior

odeset New NonNegative integration property to impose nonnegativity

constraints on an ODE solution

rand Supports the Mersenne Twister algorithm in generating random

numbers

svd Returns economy decomposition

Changes to accumarray

MATLAB Version 7.1 adds the following new features to the accumarray function:

• The data type for the val input can be any numeric type, or logical, or character.

• The data type for the subs input can be any numeric type.

• You can use a cell array of separate index vectors for the subs input.

• When you specify a function input argument, the value returned by accumarray is

given the same class as the values returned by that function.

• You can control the sparsity of the value returned by accumarray by specifying the

new input argument issparse.

Imposing Nonnegativity Constraints on Computed ODE Solution

There is a new integration property called NonNegative that you can use when applying

ODE initial value problem solvers. If you need to solve a problem in which certain

components of the solution must be nonnegative, use the NonNegative property to

impose nonnegativity constraints on the computed solutions.

See Nonnegative Solutions under Calculus in the MATLAB Mathematics documentation

for more information on this feature.

Mersenne Twister Support in rand

The rand function now supports a method of random number generation called the

Mersenne Twister. The algorithm used by this method, developed by Nishimura and

Matsumoto, generates double precision values in the closed interval [2^(-53),

1-2^(-53)], with a period of (2^19937-1)/2.

1 2 ... 675 676 677 678 679 680 681 682 683 684 685 ... 715 716

Comments to this Manuals

No comments

MATLAB COMPILER RELEASE NOTES User's Guide Page 680

Comments to this Manuals

Related products and manuals for Software manuals MATLAB COMPILER RELEASE NOTES