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{ "item_title" : "Continuous Optimization", "item_author" : [" V. Jeyakumar", "Alexander M. Rubinov "], "item_description" : "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*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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/44/193/894/144193894X_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Continuous Optimization|V. Jeyakumar

Continuous Optimization : Current Trends and Modern Applications

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Overview

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* 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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Details

  • ISBN-13: 9781441938947
  • ISBN-10: 144193894X
  • Publisher: Springer
  • Publish Date: December 2010
  • Dimensions: 9.21 x 6.14 x 0.95 inches
  • Shipping Weight: 1.44 pounds
  • Page Count: 450

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