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  Browse All Reviews > Mathematics Of Computing (G) > Numerical Analysis (G.1) > Optimization (G.1.6) > Constrained Optimization (G.1.6...)  
 
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  1-10 of 23 Reviews about "Constrained Optimization (G.1.6...)": Date Reviewed
  First-order methods in optimization
Beck A., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. 494 pp.  Type: Book (978-1-611974-98-0)

The author of First-order methods in optimization defines the book’s subject matter as optimization methods that rely on function “values and gradients/subgradients (but not Hessians).” The most fam...

Oct 31 2018
  Ant colony algorithm for automotive safety integrity level allocation
Gheraibia Y., Djafri K., Krimou H. Applied Intelligence 48(3): 555-569, 2018.  Type: Article

Any technical system can fail and cause damages to its users and other people at large; the more damages a failure can cause, the more hazardous the system is. Of course, engineers have always striven to lower failure probabilities, da...

Jun 21 2018
  Evolutionary constrained optimization
Datta R., Deb K., Springer Publishing Company, Incorporated, New York, NY, 2014. 319 pp.  Type: Book (978-8-132221-83-8)

Researchers and practitioners in the field of evolutionary computation are the main audience for this book, but it can also be used easily for didactic activities for master’s and PhD students....

Oct 21 2015
  Semismooth Newton methods for variational inequalities and constrained optimization problems in function spaces
Ulbrich M., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2011. 322 pp.  Type: Book (978-1-611970-68-5)

Smoothing is a technique used in solving many optimization problems. This book introduces semismooth Newton methods, a type of smoothing, and discusses related analysis, including basic equations, derived equations, algorithms, theorem...

Dec 27 2012
  Exploiting geometry for improved hybrid AOA/TDOA-based localization
Bishop A., Fidan B., Doğançay K., Anderson B., Pathirana P. Signal Processing 88(7): 1775-1791, 2008.  Type: Article

A localization algorithm based on the use of a hybrid approach is discussed in this paper. Bishop et al. suggest the use of both time difference of arrival (TDOA) and angle of arrival (AOA). This approach is based on the assumption tha...

Aug 28 2008
   Real-time PDE-constrained optimization (Computational Science and Engineering)
Biegler L., Ghattas O., Heinkenschloss M., Keyes D., Waanders B., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2007. 312 pp.  Type: Book (9780898716214)

Optimal control of partial differential equations (PDEs) is at the forefront of many challenging real-life problems that require real-time solutions using reliable large-scale optimization algorithms. The collection of papers in this b...

Mar 31 2008
  Inexact constraint preconditioners for linear systems arising in interior point methods
Bergamaschi L., Gondzio J., Venturin M., Zilli G. Computational Optimization and Applications 36(2-3): 137-147, 2007.  Type: Article

This paper addresses sparsity in preconditioners for the solution of linear systems arising in the iterations of interior point methods. The systems are symmetric with a two-by-two block structure, where the upper left block is the Hes...

Sep 21 2007
  Constraint solving in uncertain and dynamic environments: a survey
Verfaillie G., Jussien N. Constraints 10(3): 253-281, 2005.  Type: Article

This is a very well-written survey of constraint satisfaction problems and solution techniques in the presence of uncertainties or dynamic environments....

Jun 1 2006
  Optimum design of an interbody implant for lumbar spine fixation
Tovar A., Gano S., Mason J., Renaud J. Advances in Engineering Software 36(9): 634-642, 2005.  Type: Article

The high failure rate of lumbar fusion in over 500,000 annual spine surgeries in the US calls for superior, minimally invasive surgical procedures involving interbody implants for lumbar spine repair. Interbody fusion implants (IFIs) h...

Jan 30 2006
  On fairness in the carpool problem
Naor M. Journal of Algorithms 55(1): 93-98, 2005.  Type: Article

Carpooling is a common practice among people who each have a car, but travel together to save costs. The problem of implementing a fair carpooling system consists of defining what a fair share is, and designing an algorithm to decide w...

Oct 20 2005
 
 
 
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