03572nam a22005175i 4500 978-0-387-73717-1 DE-He213 20260521091945.0 cr nn 008mamaa 100301s2008 xxu| s |||| 0|eng d 9780387737171 99780387737171 10.1007/978-0-387-73717-1 doi CICY 515.64 23 Jeyakumar, V. author. Nonsmooth Vector Functions and Continuous Optimization [recurso electrónico] / by V. Jeyakumar, D.T. LUC. Boston, MA : Springer US, 2008. X, 270 p. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda Optimization and Its Applications, 1931-6828 ; 10 Pseudo-Jacobian Matrices -- Calculus Rules for Pseudo-Jacobians -- Openness of Continuous Vector Functions -- Nonsmooth Mathematical Programming Problems -- Monotone Operators and Nonsmooth Variational Inequalities. A recent significant innovation in mathematical sciences has been the progressive use of nonsmooth calculus, an extension of the differential calculus, as a key tool of modern analysis in many areas of mathematics, operations research, and engineering. Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems and variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus by using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function. Such a set of matrices forms a new generalized Jacobian, called pseudo-Jacobian. A direct extension of the classical derivative that follows simple rules of calculus, the pseudo-Jacobian provides an axiomatic approach to nonsmooth calculus, a flexible tool for handling nonsmooth continuous optimization problems. Illustrated by numerous examples of known generalized derivatives, the work may serve as a valuable reference for graduate students, researchers, and applied mathematicians who wish to use nonsmooth techniques and continuous optimization to model and solve problems in mathematical programming, operations research, and engineering. Readers require only a modest background in undergraduate mathematical analysis to follow the material with minimal effort. MATHEMATICS. MATHEMATICAL OPTIMIZATION. OPERATIONS RESEARCH. ENGINEERING MATHEMATICS. MATHEMATICS. CALCULUS OF VARIATIONS AND OPTIMAL CONTROL; OPTIMIZATION. OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING. OPERATIONS RESEARCH/DECISION THEORY. APPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING. MATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS. APPLICATIONS OF MATHEMATICS. LUC, D.T. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780387737164 Optimization and Its Applications, 1931-6828 ; 10 http://dx.doi.org/10.1007/978-0-387-73717-1 Ver el texto completo en las instalaciones del CICY ddc ER 34441 34441 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 515.64 2025-07-10 08:40:18 2025-07-10 ER