What do you think?
Rate this book
Separable Programming: Theory and Methods
In this book, the author considers separable programming and, in particular, one of its important cases - convex separable programming. Some general results are presented, techniques of approximating the separable problem by linear programming and dynamic programming are considered.
Convex separable programs subject to inequality/ equality constraint(s) and bounds on variables are also studied and iterative algorithms of polynomial complexity are proposed.
As an application, these algorithms are used in the implementation of stochastic quasigradient methods to some separable stochastic programs. Numerical approximation with respect to I 1 and I 4 norms, as a convex separable nonsmooth unconstrained minimization problem, is considered as well.
Advanced undergraduate and graduate students, mathematical programming/ operations research specialists.
Convex separable programs subject to inequality/ equality constraint(s) and bounds on variables are also studied and iterative algorithms of polynomial complexity are proposed.
As an application, these algorithms are used in the implementation of stochastic quasigradient methods to some separable stochastic programs. Numerical approximation with respect to I 1 and I 4 norms, as a convex separable nonsmooth unconstrained minimization problem, is considered as well.
Advanced undergraduate and graduate students, mathematical programming/ operations research specialists.
333 pages, Hardcover
First published May 23, 2001
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.