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Linear Programming: more books (100)

Linear Genetic Programming (Genetic and Evolutionary Computation) by Markus F. Brameier, Wolfgang Banzhaf, 2010-11-02
Methods and applications of linear programming by Leon Cooper, 1974
Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms) by Timothy A. Davis, 2006-09-15
Theory and Application of the Linear Model (Duxbury Classic) by Franklin A. Graybill, 2000-03-27
Model Building in Mathematical Programming, 4th Edition by H. P. Williams, 1999-10-14
Introduction to Practical Linear Programming by David J. Pannell, 1996-09
50 Years of Integer Programming 1958-2008: From the Early Years to the State-of-the-Art
Integer Programming by Laurence A. Wolsey, 1998-09-09
Linear Programming by G. Hadley, 1963
Integer Programming and Network Models by H.A. Eiselt, C.-L. Sandblom, 2010-11-02
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science) by Julian J. Faraway, 2005-12-20
Dynamic Programming: Foundations and Principles, Second Edition (Pure and Applied Mathematics) by Moshe Sniedovich, 2010-09-10
Mathematical Programming: Structures and Algorithms by Jeremy F. Shapiro, 1979-12-05
Applied Linear Programming for Socioeconomic and Environmental Sciences (Operations research and industrial engineering) by M.R. Greenberg, 1978-11

lists with details

ABACUS - A Branch-And-CUt System
ABACUS is a software system which provides a framework for the implementation of branch-and-bound algorithms using linear programming relaxations that can be complemented with the dynamic generation of cutting planes or columns (branch-and-cut, branch-and-price,branch-and-cut-and-price).
http://www.informatik.uni-koeln.de/abacus/

Extractions: literature news: now with Coin-OpenSolverInterface ABACUS is a software system written in C++ that provides a framework for the implementation of branch-and-bound algorithms using linear programming relaxations. Cutting planes or columns can be generated dynamically (branch-and-cut, branch-and-price, branch-and-cut-and-price). ABACUS allows the software developer to concentrate merely on the problem specific parts, i.e., the separation of cutting planes, column generation, and primal heuristics. ABACUS supports the Open Solver Interface (Osi) developed by the COIN-OR (COmputational INfrastructure for Operations Research) project which means that every solver supported by OSI can be used to solve the relaxations. Moreover, ABACUS provides a variety of general algorithmic concepts, e.g., a list of different enumeration and branching strategies from which the best alternative for the user's application can be chosen.
Linear Programming - Math Central
Natasha Glydon. Consider this scenario your school is planning to make toques and mitts to sell at the winter festival as a fundraiser. The school’s sewing classes divide
http://mathcentral.uregina.ca/beyond/articles/LinearProgramming/linearprogram.ht

Extractions: Math Central - mathcentral.uregina.ca Math Beyond School return to top Linear Programming Natasha Glydon Consider this scenario: In order to make the most money from the fundraiser, how many of each item should be made each week? It is important to understand that profit (the amount of money made from the fundraiser) is equal to the revenue (the total amount of money made) minus the costs: Proft = Revenue - Cost. Because the students are donating their time and the community is donating the material, the cost of making the toques and mitts is zero. So in this case, profit revenue If the quantity you want to optimize (here, profit) and the constraint conditions (more on them later) are linear, then the problem can be solved using a special organization called linear programming Creating equations, or inequalities, and graphing them can help solve simple linear programming problems, like the one above. We can assign variables to represent the information in the above problem. x = the number of toques made weekly
Compuchem Consultants - Engineering Services, Software And IT Services For Petro
Suppliers of engineering services, software products for linear programming modeling, and IT Services
http://www.compuchem.net

Extractions: /*********************************************** * Chrome CSS Drop Down Menu- (c) Dynamic Drive DHTML code library (www.dynamicdrive.com) * This notice MUST stay intact for legal use * Visit Dynamic Drive at http://www.dynamicdrive.com/ for full source code ***********************************************/ /*********************************************** * Step Carousel Viewer script- (c) Dynamic Drive DHTML code library (www.dynamicdrive.com) * Visit http://www.dynamicDrive.com for hundreds of DHTML scripts * This notice must stay intact for legal use ***********************************************/ Home About Engineering Services Software ... Plant Explorer cssdropdown.startchrome("chromemenu") Call: 1-949-733-9042 Experienced consultants serving the Chemical Engineering and Manufacturing Industries. “I must tell you that most people in our plant are very impressed ... I have been able to reduce a particular quality defect (edge cracks off the Hot Mill) by 78%. No one including myself has been able to do that in 20 years of operating this plant.” Golden Aluminum “… has been effectively used by IBM to rapidly model and optimize existing processes, as well as efficiently develop from zero knowledge high performance processes to standards not previously experienced... Final process yield improvement and process variability reduction are to be expected via this technology.”
Linear Programming - Formulation
ORNotes J E Beasley. OR-Notes are a series of introductory notes on topics that fall under the broad heading of the field of operations research (OR).
http://people.brunel.ac.uk/~mastjjb/jeb/or/lp.html

Extractions: OR-Notes are a series of introductory notes on topics that fall under the broad heading of the field of operations research (OR). They were originally used by me in an introductory OR course I give at Imperial College. They are now available for use by any students and teachers interested in OR subject to the following conditions A full list of the topics available in OR-Notes can be found here You will recall from the Two Mines example that the conditions for a mathematical model to be a linear program (LP) were: LP's are important - this is because: We will return later to the simplex algorithm for solving LP's but for the moment we will concentrate upon formulating LP's.
IBM - Mathematical Programs - IBM ILOG CPLEX Optimizer - Software
Highperformance mathematical programming solver for linear programming, mixed integer programming, and quadratic programming
http://www.ibm.com/software/integration/optimization/cplex-optimizer/

Extractions: mboxCreate('software_global_top'); Skip to main content High-performance mathematical programming solver for linear programming, mixed integer programming, and quadratic programming System requirements Specifications sheet CPLEX performance Getting Started manual Model business issues mathematically and solve them with IBM ILOG CPLEX Optimizer's powerful algorithms to produce precise and logical decisions. IBM ILOG CPLEX Optimizer's mathematical programming technology enables analytical decision support for improving efficiency, reducing costs, and increasing profitability. Fundamental algorithms: IBM ILOG CPLEX Optimizer provides flexible, high-performance mathematical programming solvers for linear programming, mixed integer programming, quadratic programming, and quadratically constrained programming problems. Robust algorithms for demanding problems: IBM ILOG CPLEX Optimizer has solved problems with millions of constraints and variables. Industry-leading support: IBM has an impressive rate of product improvement and ample support resources to serve you.
Linear Programming
Linear Programming Linear Programming is a particular case of constrained optimization problems. What sets the linear programming aside is that optimal values are sought for a
http://www.cut-the-knot.org/do_you_know/lin_pr.shtml
IBM ILOG Optimization - Advanced Analytics And Analytical Decision Support Solut
Optimization algorithms, resource allocation, resource optimization, tools to improve decision-making.
http://www.ilog.com/products/optimization/

Extractions: mboxCreate('software_global_top'); Skip to main content Make smarter decisions, faster with optimization technology The gold standard in optimization software, technology and solutions, IBM ILOG Optimization is used by over 50% of the world's largest companies, 1000’s of Universities, and 1000's of application providers. The leader in optimization and performance , IBM ILOG Optimization solutions tackle the world's toughest problems allowing firms to gain a unique competitive advantage for a very wide range of optimization applications. IBM ILOG Supply Chain Optimization provides easy-to-use, optimization-based decision support solutions to solve complex supply chain and production problems. These off-the-shelf applications are used by over 50% of the world's largest supply chains and over 50% of AMR's top 50 global supply chains. Products Enterprise-class software platform for building optimization-based custom planning and scheduling decision support applications. Optimization model development toolkit for mathematical programming and constraint programming.
The Math Forum - Math Library - Linear Progrmng
Operations research game theory and linear programming an online linear programming solver; and an online solver of two-person zero sum games (play a two-person zero sum game
http://mathforum.org/library/topics/linear_prog/

Extractions: Links to some of the best Internet resources for game theory and linear or non-linear programming: Web sites, software, Internet projects, publications, and public forums for discussion. more>> Linear Programming FAQ - Optimization Technology Center, Northwestern University and Argonne National Laboratory Posted monthly to the newsgroup sci.op-research. Answers to questions such as: "What is Linear Programming?" "Where is there a good code to solve LP problems?" "Oh, and we also want to solve it as an integer program." "I wrote an optimization code. Where are some test models?" "What is MPS format?" etc. more>> Links to Web pages of courses in Operations Research/Management Science and related fields offered at universities or colleges all over the world. Also short courses and tutorials on OR/MS-related topics. By Armann Ingolfsson for the INFORMS Forum on ...more>> AMPL: A Modeling Language for Mathematical Programming - Bell Laboratories
IBM - Mathematical Programs - IBM ILOG CPLEX Optimizer - Software
The CPLEX division of ILOG provides large-scale mathematical programming software and services for resource optimization.
http://www.ilog.com/products/cplex/

Extractions: mboxCreate('software_global_top'); Skip to main content High-performance mathematical programming solver for linear programming, mixed integer programming, and quadratic programming System requirements Specifications sheet CPLEX performance Getting Started manual Model business issues mathematically and solve them with IBM ILOG CPLEX Optimizer's powerful algorithms to produce precise and logical decisions. IBM ILOG CPLEX Optimizer's mathematical programming technology enables analytical decision support for improving efficiency, reducing costs, and increasing profitability. Fundamental algorithms: IBM ILOG CPLEX Optimizer provides flexible, high-performance mathematical programming solvers for linear programming, mixed integer programming, quadratic programming, and quadratically constrained programming problems. Robust algorithms for demanding problems: IBM ILOG CPLEX Optimizer has solved problems with millions of constraints and variables. Industry-leading support: IBM has an impressive rate of product improvement and ample support resources to serve you.
Linear Programming Summary | BookRags.com
Linear Programming. Linear Programming summary with 3 pages of encyclopedia entries, research information, and more.
http://www.bookrags.com/research/linear-programming-wom/
SolvOpt: Index Page
Matlab, C, and Fortran codes to minimize nonlinear, possibly non-smooth objective functions and solve nonlinear minimization problems, taking into account constraints by the method of exact penalization.
http://www.uni-graz.at/imawww/kuntsevich/solvopt/
Home
Software, benchmarks, events, people, bibliography, quadratic optimization.
http://rutcor.rutgers.edu/~pbo/

Extractions: The Pseudo-Boolean Optimization Website W elcome to the home page for the Pseudo-Boolean Optimization (PBO) web-project. The following is a dated list of additions to our web. A bibliography on PBO has been added to this website. The family has been added to the set of benchmark problems. The list of best known values of the Large and the Medium families has been updated. Optimal values have been found for several benchmarks in families: D E OR-LIB 100 and OR-LIB 250 Due to an error in a script file, the OR-LIB 1000 benchmarks were incorrectly manipulated in the past. This problem is fixed now, and the best values of this dataset can be seen here unconstrained 0-1 quadratic test problems have been added to the set of benchmark problems. For each particular dataset, the best 0-1 vector solution found can be obtained in this website. The best known results for a set of benchmark problems for 0-1 quadratic optimization can be obtained here There are some test problems with new best values to the research community, namely within the and families.
Pseudo-Boolean (0-1 Integer Programming) Benchmarks With Hidden Optimum Solution
Benchmarks in opb format. Includes a description of how they were generated.
http://www.nlsde.buaa.edu.cn/~kexu/benchmarks/pb-benchmarks.htm

Extractions: Pseudo-Boolean (0-1 Integer Programming) Benchmarks with Hidden Optimum Solutions If you have any comments or need more instances for the following benchmarks, please send me an email. The Pseudo-Boolean 0-1 integer programming ) problem is a linear integer programming problem where all variables are restricted to take values of either or 1. This problem is NP-hard, and as such, it is considered unlikely that there exists an efficient algorithm for solving it. The Pseudo-Boolean (0-1 Integer Programming) benchmarks presented here are transformed from forced satisfiable SAT benchmarks of Model RB, with the set of variables and the set of constraints respectively corresponding to the set of variables and the set of binary clauses in SAT instances. In fact, based on Model RB and this transformation, we can propose a simple random Pseudo-Boolean model as follows: First generate n disjoint sets of variables, each of which has cardinality n (where is a constant), and then for every two variables x and y in the same set, generate a constraint
Mosek: Home
Large scale optimization software. Solves linear, quadratic, general convex and mixed integer optimization problems. Details of products, trial downloads, licensing information, and documentation.
http://www.mosek.com/

Extractions: Home Introduction Products Downloads ... advanced search The MOSEK Optimization Software is designed to solve large-scale mathematical optimization problems. MOSEK provides specialized solvers for linear programming, mixed integer programming and many types of nonlinear convex optimization problems. MOSEK can solve: Interfaces included in MOSEK: Technical highlights of MOSEK are: For more information about MOSEK click here If you are new to MOSEK, then we suggest you visit the introduction section A new technical report is available that demonstrates how easy it is to use MOSEK for the Markowitz portfolio optimization problems even if transactions costs are included. Please consult our publications and grab a copy of the report.
Professor George Dantzig, Stanford Operations Research Department
The versatility and economic impact of linear programming in today s The somewhat confusing name linear programming, Dantzig explained in the book,
http://www.stanford.edu/group/SOL/dantzig.html

Extractions: Linear Programming Founder Turns 80 In spite of impressive developments in computational optimization in the last 20 years, including the rapid advance of interior point methods, the simplex method, invented by George B. Dantzig in 1947, has stood the test of time quite remarkably: It is still the pre-eminent tool for almost all applications of linear programming. Dantzig, who turns 80 on November 8, is generally regarded as one of the three founders of linear programming, along with von Neumann and Kantorovich. Through his research in mathematical theory, computation, economic analysis, and applications to industrial problems, he has contributed more than any other researcher to the remarkable development of linear programming. Dantzig's work has been recognized by numerous honors, among them the National Medal of Science (1975), the John von Neumann Theory Prize of the Operations Research Society of America and the Institute of Management Sciences (1974), and membership in the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. But he has his own basis for judging his work: "The final test of any theory," he said in the opening sentence of his 1963 book
Zuse-Institut Berlin: Optimierung, Optimierung
Sequential object-oriented simplex class library, free to download for research purposes for members of non-commercial and academic institutions.
http://www.zib.de/Optimization/Software/Soplex/
The Nonlinear Geometry Of Linear Programming I. Affine And
File Format PDF/Adobe Acrobat Quick View
http://www.math.lsa.umich.edu/~lagarias/doc/new.lin.pdf
Linear Optimization
Linear programming deals with a class of optimization problems, where both the objective function to be optimized and all the constraints, are linear in terms of the decision
http://home.ubalt.edu/ntsbarsh/Business-stat/opre/partVIII.htm

Extractions: A mathematical optimization model consists of an objective function and a set of constraints in the form of a system of equations or inequalities. Optimization models are used extensively in almost all areas of decision-making, such as engineering design and financial portfolio selection. This site presents a focused and structured process for optimization problem formulation, design of optimal strategy, and quality-control tools that include validation, verification, and post-solution activities. Professor Hossein Arsham To search the site , try E F ind in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. " parameter " or " linear " If the first appearance of the word/phrase is not what you are looking for, try F ind Next MENU Optimization-Modeling Process Ingredients of Optimization Problems and Their Classification Linear Programming (LP) Dual Problem: Its Construction and Economics Implications ... Europe Mirror Site Companion Sites: Ingredients of Optimization Problems and Their Classification
HOPDM's Home Page
Package for solving large-scale linear, convex quadratic and convex nonlinear programming problems. The code is an implementation of the infeasible primal-dual interior point method, and compares favorably with commercial LP, QP and NLP packages.
http://www.maths.ed.ac.uk/~gondzio/software/hopdm.html

Extractions: HOPDM is a package for solving large scale linear, convex quadratic and convex nonlinear programming problems. The code is an implementation of the infeasible primal-dual interior point method. It uses multiple centrality correctors; their number is chosen appropriately for a given problem in order to reduce the overall solution time. HOPDM automatically chooses the most efficient factorization method for a given problem (either normal equations or augmented system). The code compares favourably with commercial LP, QP and NLP packages. HOPDM has been written by Jacek Gondzio
EE236A - Linear Programming (Fall 2007-08)
EE236A Linear Programming (Fall 2007-08). Prof. L. Vandenberghe, UCLA Large-scale linear programming (4/page). Integer linear programming (4/page)
http://www.ee.ucla.edu/ee236a/ee236a.html

Extractions: Prof. L. Vandenberghe , UCLA Introduction and overview 4/page Linear inequalities 4/page ... 4/page The homework assignments are from the EE236A Exercises . Some of the problems require Matlab files: ex9data.m ex15data.m ex17data.m ex18data.m ... ex35data.m Matlab The Matlab LP solver is called linprog MOSEK linprog linprog . You can also use the routine lp236a.m , a pure Matlab implementation of a primal-dual method. This code is less efficient and reliable than the MOSEK solver, but should be adequate for the purposes of this course. The following Matlab packages allow you to specify and solve LPs using a very simple and intuitive description format: CVX (which includes the necessary solver) and YALMIP Octave Octave users can download the Octave version of lp236a.m

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