The Karhunen-Loeve Galerkin procedure (Park, H. M., and Cho, D. H., 1996, "
Low Dimensional Modeling of Flow Reactors," Int J. Heat Mass Transf., 39, p
p. 3311-3323) is a type of reduction method that can be used to solve linea
r or nonlinear partial differential equations by reducing them to minimal s
ets of algebraic of ordinary differential equations. In this work, the meth
od is used in conjunction with a conjugate gradient technique to solve the
boundary optimal control problems of the heat conduction equations. It is d
emonstrated that the Karhunen-Loeve Galerkin procedure is well suited for t
he problems of control of optimization, where one has to solve the governin
g equations repeatedly but one can also estimate the approximate solution s
pace based on the range of control variables. Choices of empirical eigenfun
ctions to be employed in the Karhunen-Loeve Galerkin procedure and issues c
oncerning the implementations of the method are discussed. Compared to the
traditional methods, the Karhunen-Loeve Galerkin procedure is found to solv
e the optimal control problems very efficiently without losing accuracy.