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Linear Programming: more books (100)

Algorithmic Principles of Mathematical Programming (Texts in the Mathematical Sciences) by Ulrich Faigle, W. Kern, et all 2010-11-02
Control of Uncertain Systems: A Linear Programming Approach by Munther A. Dahleh, Ignacio J. Diaz-Bobillo, 1995-06
Applied Mathematical Programming by Stephen P. Bradley, Arnoldo C. Hax, et all 1977-02
Integer Programming by Robert S. Garfinkel, George L. Nemhauser, 2010-12-16
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) by John R. Birge, François Louveaux, 1997-07-18
Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences) by Dr. Stephen W. Raudenbush, Anthony S. Bryk, 2001-12-19
Dynamic Programming & Optimal Control, Vol. I by Dimitri P. Bertsekas, 2005-05-01
Linear Algebra Gems: Assets for Undergraduate Mathematics (Notes Series, Volume 59) by Charles Johnson, 2002-01-01
Linear Inequalities and Related Systems. (AM-38) (Annals of Mathematics Studies) by Harold William Kuhn, Albert William Tucker, 1956-10-01
Introduction to Finite Mathematics and Linear Programming by Kyohai Sasaki, 1970-12-10
Problems in Linear and Non-Linear Programming (Charles Griffin Book) by S. Vajda, 1987-03-12
Introduction to Linear Programming (Pure and Applied Mathematics)
Linear Programming by Katta G. Murty, 1983-10-07
Generalized Linear Models, Second Edition (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by P. McCullagh, John A. Nelder, 1989-08-01

lists with details

Www2.math.bas.bg/~keleved/lpform.html
PDF linear programming
http://www2.math.bas.bg/~keleved/lpform.html
Anima-LP Java
Animated linear programming Applet. Use this to help you visualize and solve standard linear programming problems.
http://www.cs.stedwards.edu/~wright/linprog/AnimaLP.html
Linear Programming (MENTOR Module), Management Science, Strathclyde University,
linear programming » Free Evaluation of Software. Examples of the kinds of problems tackled by linear programming; What is linear programming definition;
http://www.managementscience.org/mentor/lp.asp

Extractions: www.ManagementScience.org Sunday 6 June, 2004 MENTOR FAQ Free Evaluation of Software Getting Started Guide ... Network Installation Mentor Modules Conflict Analysis Dynamic Programming Forecasting Heuristic Search Methods ... Stock Control Module Authors: Valerie Belton and Mark Elder , Management Science, University of Strathclyde, Glasgow. The module covers the following topics: General Learning Objectives The lecturer will usually define the specific learning objectives for their course as a whole. The students should: have a general appreciation of the types of resource allocation problems which are amenable to analysis using mathematical programming be familiar with the concept of a mathematical model be able to formulate a problem described verbally as a mathematical model understand the techniques of linear programming be able to identify an appropriate technique of analysis be able to interpret the solutions derived from these approaches and on the basis of these be able to make practical recommendations
A Few Open Source Codes
Index. TNC A nonlinear optimization package; PuLP A Python linear programming modeler; PuLP A linear programming modeler in Python.
http://www.jeannot.org/~js/code/index.en.html

Extractions: Back to JS's page (in french) Few codes for the moment, but sooner or later I'll add my HP48 programs (if I succeed in locating the sources) and some Mac programs. Cette page existe aussi TNC is a C implementation of TNBC, a truncated newton optimization package originally developed by Stephen G. Nash in Fortran. The original source code can be found at Stephen G. Nash Software Page This software aims at minimizing the value of a nonlinear function whose variables are subject to bound constraints. It requires to be able to evaluate the function and its gradient and is especially useful for solving large scale problems. Since version 1.0.5, a Python interface module is provided.
Optimality Pays: An Introduction To Linear Programming An Application Of Mathema
Optimality Pays An Introduction to linear programming. Jeganathan Sriskandaraajah. Mathematics Topic linear programming, Precalculus.
http://www.comap.com/product/?idx=19
Second Moment: Linear Modeling To The Max: An Interview With UPS Operations Rese
On the optimization side and I think this is what your readers will be most interested in - is the linear programming that weve been developing to address
http://www.secondmoment.org/articles/ups.php

Extractions: United Parcel Service, better known as UPS, is the world's largest package distribution company. Serving more than 200 countries and territories, UPS transports more than 3 billion parcels annually, including upwards of 325 million during Peak, the four to five weeks between Thanksgiving and Christmas. To do this, UPS operates more than 600 aircraft, 88,000 vehicles, and 1,700 facilities. It is a logistics problem of the highest order, and UPS analysts like Keith Ware are taking linear modeling to the maximum in order to solve it. BA: Hello Keith. Thanks for taking the time to speak with us. KW: Youre quite welcome. BA: So getting right to it, tell us a little bit about your group. KW: Essentially the Operations Research group has two sides to it, an optimization group and a simulation group. On the simulation side, our main focus right now is a huge new facility that were in the process of building in Louisville. We started work on it about three years ago and its scheduled to be fully operational next summer, at which time it will be the largest automated sorting facility in the world. The simulation group does a lot of work using models to analyze various ways of aligning the buildings sorting systems, determining which load goes where, and looking at how to feed containers to the unloads from the ramps where theyre taken off the aircraft. The goal is to minimize the time it takes to run the sort operation.
DRA Systems OR-Objects 1.2.4 Package Drasys.or.mp.lp
. LinearProgrammingI, Abstract interface to linear programming algorithms. Class Summary.Package drasys.or.mp.lp. linear programming Algorithms. See
http://opsresearch.com/OR-Objects/api/drasys/or/mp/lp/package-summary.html

Extractions: Description Interface Summary LinearProgrammingI Abstract interface to linear programming algorithms. Class Summary DenseLPBase Abstract class containing common dense data structures. DenseSimplex Simple simplex algorithm for dense coefficients. Linear Programming Algorithms. Overview Package Class Tree Deprecated Index Help ... OpsResearch.com
Potential Function Methods For Approximately Solving Linear Programming Problems
Potential Function Methods for Approximately Solving linear programming Problems Theory and Practice. Add to cart. by Daniel Bienstock Dept.
http://www.wkap.nl/prod/b/1-4020-7173-6

Extractions: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments. Contents
Wiley::Introduction To Practical Linear Programming
By Keyword, Wiley Mathematics Statistics Discrete Mathematics Introduction to Practical linear programming.
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471517895.html
ILOG CPLEX
Mathematical programming Software for resource optimization. Our linear, mixedinteger and quadratic programming solvers are known for superior performance and reliabilityparticularly on large, difficult problems.
http://www.cplex.com/

Extractions: ilog.com Products ILOG Optimization Suite ILOG CPLEX Product Info New in version 9.0 ILOG CPLEX Suite ILOG Parallel CPLEX Cooperative and hybrid optimization ... Technical papers Solutions Academic Manufacturing Telecommunications Transportation and travel ... Contact info ILOG CPLEX ILOG CPLEX delivers high-performance, robust, flexible optimizers for solving linear, mixed-integer and quadratic programming problems in mission-critical resource allocation applications. Virtually every leading end-user and software provider in supply chain planning, telecommunication network design and transportation logistics depends on the unequaled solving power of ILOG CPLEX. Robust algorithms for demanding problems ILOG pioneered development of the world's fastest, most robust implementations of the fundamental algorithms needed to solve today's most demanding mathematical optimization problems. ILOG CPLEX has solved problems with millions of constraints and variables, and consistently sets new records for mathematical programming software performance. Leading hardware vendors use ILOG CPLEX to measure the computational performance of their latest CPUs. Industry-leading support
Linear Algebra And Econometrics
SPARSEM is a collection of sparse matrix classes that makes programming with sparse matrices (and large problems) almost as easy as a matrix language. BLUPF90 is a BLUP program written using SPARSEM. REMLF90 is a REML version of BLUPF90 that uses accelerated EM algorithm. Other programs included are dense matrix module DENSEOP, Gibbs sampling program GIBBS90, and several versions of linearthreshold models. By Ignacy Misztal and collaborators.
http://nce.ads.uga.edu:80/~ignacy/numpub/blupf
Bibliography On The Solution Of Sparse Linear Systems And Related Areas Of Compu
With emphasis on Computational linear Algebra, High Performance Computing, Mathematical programming and Graph Theory. Searchable.
http://liinwww.ira.uka.de/bibliography/Math/sparse.linear.systems.html

Extractions: Computer Science Bibliographies Up: Bibliographies on Mathematics Collection Home Bibliography on the Solution of Sparse Linear Systems and Related Areas of Computation About Browse Statistics Number of references: Last update: September 28, 2001 Number of online publications: Supported: yes Most recent reference: September 1997 Search the Bibliography Query: Options case insensitive Case Sensitive partial word(s) exact online papers only Results Citation BibTeX Count Only Maximum of matches Help on: [ Syntax Options Improving your query Query examples Brazil Abstract: This bibliography includes references on the Solution of Sparse Linear Systems, and Related Areas of Computation, with emphasis on: Computational Linear Algebra, High Performance Computing, Mathematical Programming, Graph Theory. Keywords: Sparse Linear Systems, Direct Methods, Computational Linear Algebra, High Performance Computing
Logique De La Programmation
The Logic of programming research team is interested in proof theory and its relations with theoretical computer science. The main topic is mathematical interpretation of proofs nets (proof = graph), denotational semantics (proof = function), and game semantics (proof = strategy). Two realisations of this working programm are linear Logic and Ludics.
http://iml.univ-mrs.fr/ldp/welcome.html
Linear Scan Register Allocation In The HiPE Compiler.
Erik Johansson and Konstantinos Sagonas. Precented at the International Workshop on Functional and (Constraint) Logic programming (WFLP 2001), Kiel.
http://user.it.uu.se/~happi/publications/wflp.ps
Applications Of Linear Logic To Computation: An Overview - Alexiev (ResearchInde
Survey article by Vladimir Alexiev providing an overview of existing applications of linear Logic to issues of computation. Discusses implications of the theory in several fields of theoretical computer science, such as functional programming, and the correct treatment of negation in logic programming.
http://citeseer.nj.nec.com/alexiev93applications.html

Extractions: Abstract: This paper is an overview of existing applications of Linear Logic (LL) to issues of computation. After a substantial introduction to LL, it discusses the implications of LL to functional programming, logic programming, concurrent and object-oriented programming and some other applications of LL, like semantics of negation in LP, non-monotonic issues in AI planning, etc. Although the overview covers pretty much the state-of-the-art in this area, by necessity many of the works are only mentioned ... (Update)
Gregory Gutin, TSP, Combinatorial Optimization, Digraphs
Royal Holloway, University of London. Graph theory and algorithms, combinatorial optimisation, linear and integer programming.
http://www.cs.rhbnc.ac.uk/home/gutin/

Extractions: CV.pdf Digraph Monograph Page DIMACS TSP Challenge RHUL Library ... Oper. Res. Lett. Gregory received his MSc in Mathematics in 1979 from Gomel State University, Belarus. He worked in high school and research institutes of Belarus from 1979-1990. He studied for PhD under Professor Noga Alon at the School of Mathematics, Tel Aviv University, Israel and received his PhD (with distinction) in 1993. Between 1993 and 1996 he held visiting positions in the Department of Mathematics and Computer Science, Odense University, Denmark and then became a lecturer at the Department of Mathematics, Brunel University, UK. Since 1 September 2000, Gregory has been Professor in Computer Science, Department of Computer Science, Royal Holloway. Gutin's main research interests include graph theory and algorithms, combinatorial optimisation, linear and integer programming. He has published more than sixty research papers, and a monograph : J. Bang-Jensen and G. Gutin, Digraphs. Theory, Algorithms and Applications. Springer-Verlag, London, 2000 (ISBN: 1-85233-268-9). He co-edited (with A.P. Punnen) a new TSP book : Traveling Salesman Problem and its Variations, Kluwer, 2002 (ISBN: 1-4020-0664-0). A preliminary version of Chapter 6 is available in
Miller, Dale
Penn State University linear logic, proof search and declarative programming languages.
http://www.cse.psu.edu/~dale/
Luke Ong's Home Page
Merton College, Oxford Semantics of programming languages, lambda calculus, categorical logic and type theory, game semantics, linear logic.
http://web.comlab.ox.ac.uk/oucl/work/luke.ong/
Charles Stewart
Boston University programming language theory, optimal reductions, graph reduction, linear logic, semantics of logic, formulae-as-types correspondence, continuation semantics.
http://www.linearity.org/cas/

Extractions: I am a postdoctoral researcher in theoretical computer science associated with the Institute of Artifical Intelligence at Technische Universitaet Dresden. In the past, I have been associated with the Theory and Formal Specifications group of Technische Universitaet Berlin, the Linear Naming and Computation section of the Church Project at Boston University, the Department of Computer Science at Brandeis University, and the Foundations of Computation section of the Programming Research Group at Oxford University. My research interests include: Programming language theory: Graph transformation: Graph transformation and the design of distributed algorithms;
Cube
3D visual dataflow programming language programs consist of an arrangement of 3dimensional shapes instead of a linear stream of text. Interesting example images.
http://www.cs.berkeley.edu/~maratb/cs263/paper/node16.html

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