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Nonsmooth Vector Functions and Continuous Optimization (Hardcover, 2008 ed.): V. Jeyakumar, Dinh The Luc Nonsmooth Vector Functions and Continuous Optimization (Hardcover, 2008 ed.)
V. Jeyakumar, Dinh The Luc
R2,900 Discovery Miles 29 000 Ships in 10 - 15 working days

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, as well as variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus, using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function.

Continuous Optimization - Current Trends and Modern Applications (Hardcover, 2005 ed.): V. Jeyakumar, Alexander M. Rubinov Continuous Optimization - Current Trends and Modern Applications (Hardcover, 2005 ed.)
V. Jeyakumar, Alexander M. Rubinov
R3,146 Discovery Miles 31 460 Ships in 10 - 15 working days

Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17* DEGREES century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications."

Nonsmooth Vector Functions and Continuous Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2008): V. Jeyakumar,... Nonsmooth Vector Functions and Continuous Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2008)
V. Jeyakumar, Dinh The Luc
R2,869 Discovery Miles 28 690 Ships in 10 - 15 working days

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, as well as variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus, using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function.

Continuous Optimization - Current Trends and Modern Applications (Paperback, Softcover reprint of hardcover 1st ed. 2005): V.... Continuous Optimization - Current Trends and Modern Applications (Paperback, Softcover reprint of hardcover 1st ed. 2005)
V. Jeyakumar, Alexander M. Rubinov
R2,924 Discovery Miles 29 240 Ships in 10 - 15 working days

Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17* DEGREES century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications."

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