000			01382nam a22002297a 4500
008			220306b ||||| |||| 00| 0 eng d
020			_a9780898714852 (pbk.)
082			_a515.64 _bBOY
100			_aBoyd, Stephen _9842
245			_aLinear matrix inequalities in system and control theory
260			_aPhiladelphia _bSociety for Industrial and Applied Mathematics _c1994
300			_aix, 193p.,
440			_aSIAM Studies in Applied and Numerical Mathematics - 15 _9843
520			_aIn this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.
650			_aMathematical optimization _9688
650			_aMatrix inequalities _9844
650			_aControl theory _9605
700			_aGhaoui, Laurent El _9845
700			_aFeron, Eric _9846
700			_aBalakrishnan, Venkataramanan _9847
942			_cBK
999			_c7779 _d7779