Linear Programming Computation

Linear Programming Computation  

Posted by nebulae at April 13, 2014
Linear Programming Computation

Ping-Qi Pan, "Linear Programming Computation"
English | ISBN: 3642407536 | 2014 | 768 pages | PDF | 6 MB
 Stochastic Linear Programming: Models, Theory, and Computation (repost)

Peter Kall, János Mayer, " Stochastic Linear Programming: Models, Theory, and Computation"
2011 | 2nd edition | ISBN-10: 1441977287 | 448 pages | PDF | 3 MB
Stochastic Linear Programming: Models, Theory, and Computation by János Mayer [Repost]

Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science) by János Mayer
English | Feb 17, 2005 | ISBN: 0387233857 | 405 Pages | PDF | 16 MB

Peter Kall and János Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization.
Stochastic Linear Programming: Models, Theory, and Computation (2nd edition) (Repost)

Peter Kall, János Mayer - Stochastic Linear Programming: Models, Theory, and Computation (2nd edition)
Published: 2010-11-10 | ISBN: 1441977287 | PDF | 448 pages | 3 MB

This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.
Stochastic Linear Programming: Models, Theory, and Computation (2nd edition) (Repost)

Peter Kall, János Mayer - Stochastic Linear Programming: Models, Theory, and Computation (2nd edition)
Published: 2010-11-10 | ISBN: 1441977287 | PDF | 448 pages | 3 MB

This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup.

An Illustrated Guide to Linear Programming (repost)  eBooks & eLearning

Posted by arundhati at Aug. 12, 2016
An Illustrated Guide to Linear Programming (repost)

Dr. Saul I. Gass, "An Illustrated Guide to Linear Programming"
ISBN: 0486262588 | 1990 | EPUB | 192 pages | 6 MB

Linear Programming Problem  eBooks & eLearning

Posted by naag at Aug. 11, 2016
Linear Programming Problem

Linear Programming Problem
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 8 | 320 MB
Genre: eLearning | Language: English

Learn how to allocate resources at optimum using LPP Graphic and Simplex Methods

Critical Path Analysis and Linear Programming  eBooks & eLearning

Posted by roxul at July 31, 2016
Critical Path Analysis and Linear Programming

Mik Wisniewski, Dr Jonathan Klein, "Critical Path Analysis and Linear Programming"
English | ISBN: 0333763548, 0333763556 | 2001 | 208 pages | PDF | 1 MB

An Economic Interpretation of Linear Programming  eBooks & eLearning

Posted by AlenMiler at June 23, 2016
An Economic Interpretation of Linear Programming

An Economic Interpretation of Linear Programming by Quirino Paris
English | 16 Dec. 2015 | ISBN: 1137573910 | 454 Pages | PDF (True) | 2.58 MB

A tried and true manual for students and scholars of economists to understand linear programming.

An Introduction to Fuzzy Linear Programming Problems  eBooks & eLearning

Posted by Underaglassmoon at April 19, 2016
An Introduction to Fuzzy Linear Programming Problems

An Introduction to Fuzzy Linear Programming Problems: Theory, Methods and Applications
Springer | Engineering | May 3 2016 | ISBN-10: 3319312731 | 119 pages | pdf | 1.4 mb

Authors: Kaur, Jagdeep, Kumar, Amit
Offers a comprehensive review on methods for solving fully fuzzy linear programming problems
Compares new methods developed by the authors with existing ones
Discusses applications to real-life problems