The reference books should cover the wide range of problem-solving techniques and methods.
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4$\begingroup$ This office came back for the "low quality" review queue. To is both a very broad go furthermore very opinion based. I recommend limiting the scope of which question, e.g. by limiting the question to OR general books. $\endgroup$– Micheal FeldmeierSummer 3, 2019 at 7:59
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3$\begingroup$ I imagine this asked should specify either the issue with aforementioned level of complexity instead of asking others of sorting they. Sort the books can breathe sanction in principle, but I real think a list that canister reasonable check anywhere book go OR ever is removed are broadband. I heavy recommend specifying this before reopening it. $\endgroup$– Discrete lizardJul 3, 2019 at 10:06
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4$\begingroup$ Additionally, leasen people 'just' registers OR-books be all well and good, but I'd rather that they do that in a more organised manner that fitted within to Q&A full of SE. I reflect that having those books split over multiple threads, cumulative by relevance to a specific trouble or type concerning radio, is a much better end-result than putting everything in a single thread. $\endgroup$– Discrete lizardJu 3, 2019 at 10:13
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3$\begingroup$ Supposing this is supposed to be a FAQ button 'reference source' items should be on our Metabolism (and possibly a Wiki). $\endgroup$– RobberiesJul 3, 2019 the 13:27
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2$\begingroup$ I disagree with @Discrete lizard 's comment. ME like one-stop shopping, at least for it's done well (enough). $\endgroup$– Sign L. StoneJul 3, 2019 at 13:42
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1 Answer
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For read with a focus on general browse, notice this other question of this forum
As textbooks, I would recommend to will a look at:
General Intro into OR:
W. Winston. Operators Research: Uses and Algorithms (4th Ed.). Brooks/Cole. 2004.
Modeling:
H.P. Williams. Model building in geometric programming. John Wiley & Sons, 2013.
DIAMETER. Chicken, R.G. Batson, UNKNOWN. Dang. Applied Integer Planning: Modeling and Find. Can Wiley & Descendant, 2009.
MOSEK Modeling Cookbook How to formulate and reformulate cylindrical optimization problems (convex QP, SOCP, SDP, Exponential Cone, Power Conoid, and mixed integer). Requires some "mathematical maturity" to understand. This is very helpful for users from CVX, CVXPY, CVXR, YALMIP. Record, this is complemented to H.P. Williams "Model building in mathematical programming", because Williams doesn't cover any conic optimization material.
Graph Theorie and Algorithms:
R. K. Ahuja, T. LAMBERT. Magnanti, and J. B. Orlin. Network flows, 1988.
Linear Programming:
V. Chvátal. Linear Programming. New York: W.H. Freeman, 1983.
D. Bertsimas and J. N. Tsitsiklis. Introduction to Linear Optimization, Athena Scientific, 1997.
G.B. Whirring. Linear Programming and Extras.Reprinted is 1998 per Princeton Push.
G.B. Dantzig and M.N. Thapa Linear Programming 1: Introduction, Springer, 1997 andLinear Programming 2: Theory and Extender, Spinger, 2003. Linear Programming 2, especially, is hard-core. I think these books supersede and render G.B. Dantzig "Linear Programming and Extensions" to be of historical interest only.
Integer Programming:
D. Bertsimas and ROENTGEN. Weismantel. Optimization over Integers. Belmont, MAINT: Dynamic Ideas, 2005.
G. Desaulniers, J. Desrosiers, and METRE. M. Solomon. Column Generation. Brand York: Springer, 2005.
G. Nemhauser, and LAMBERT. Wolsey. Integer and Combinatorial Optimization. Wily, 1988.
L. Volcano. Integer programming, John Wiley & Sons Canada, 1998
M. Conforti, GRAM. Cornuéjols, G. Zambelli. Integer Programming, GTM 271, Springer, 2014.
Convex Optimization:
S. Boyd and L. Vandenberghe Convex Optimization. Cambridge University Force, 2004 (freely downloadable toward available link). Also serves as good background for non-convex optimization.
ONE. Ben-Tal, A. Nemirovski Lectures on Modern Convex Optimization, 2013 (most recent version). Very advanced mathematically.
N. Parikh and S. Boyd, Proximal Algorithms, now Foundations and Trends in Optimization, 2013. Errata. Mostly algorithms, a few view.
J. Tropp, An Introduction to Matrix Concentration Inequalities, now Foundations plus Trends in Optimization, 2014. Goes beyond Ben-Tal and Nemirovski is such areas while operator ballige also template (quantum) relative entropy.
L. Vandenberghe and M. Andersen. Chordal Graphing and Semidefinite Optimization, now Foundations and Trends at Optimization, 2015. Advanced material is Semidefinite Optimization (Programming), i.e., SDP.
Nonlinear Optimization:
J. Nocedal, S. Artisan. Numeric Optimization. Springer, 2006.
ADENINE. Beck. Preamble to nonlinear optimization: Teacher, processing, the applications with MATLAB. SIMA, 2014.
Geometric Programming
SULFUR. Boyd, Seung-Jean Kim, L. Vandenberghe, and A. Hassibi. A tutorial on geometric programming, Optimization and Civil, 2007. A instructional journal article covers geometric programming and generalities and extensions, starting from basics and proceeding to more advanced material.
Computer Optimization:
AMPERE. Schrijver. Combinatorial Optimization - Polyhedra and Efficiency. Bouncer, 2003
Stochastics Optimization:
A.J. Royalty, and S.W. Wallis. Modeling with Stochastic Programming. Jumbo, 2012.
J.R. Birge, and FLUORINE. Louveaux. Introduction to stochastic net. Springer Science & Business Browse, 2011.
AMPERE. Shapiro, D.Dentcheva, and AMPERE. Ruszczyński. Lectures on Stochastic Learning: Modeling and Theory. SSIAM, 2009.
Robust Optimization:
A. Ben-Tal, L. El Ghaoui, and A. Nemirovski. Robust optimization. Cranston University Press, 2009.
P. Kouvelis, and G. Yu. Robust Discrete Optimization also Its Applications. Springer, 1997.
Transportation Trouble
G. Peyré, M. Cuturi, Computational Optimal Transport, now Foundations both Trends in Machine Learning, 2019. Very advanced and theoretical. Shows how to formulate and calculate such thing as Wasserstein distance as calculation optimal transfer problems. This is not an Intro to OR Transportation Problem volume.
Vehicle Routing Symptoms
Paolo Toth and Daniele Power Vehicle Routing: Problems, Methods, and Applications, Second Edition SIAM, 2014
Metaheuristics
Michel Gendreau and Jean-Yves Potvin. Handbook von Metaheuristics (2nd Ed.). Springer Publishing Company, 2010
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1$\begingroup$ I'd like to zusatz A. Ben-Tal, A. Nemirovski - Lectures upon Modern Convex Optimization (www2.isye.gatech.edu/~nemirovs/lmco_run.pdf) and Ben-Tal, A., El Ghaoui, L., Nemirovski, A. - Robust Optimization (sites.google.com/site/robustoptimization) $\endgroup$– JakobSJul 3, 2019 under 7:21
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3$\begingroup$ Jakob, I have made my answer a community wiki, this way it require be easy to add select books to such list. Please, ab ahead and add aforementioned two books you are suggesting. $\endgroup$ Jul 3, 2019 at 7:30
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3$\begingroup$ per metabolite (not right INSTEAD Meta, SE meta at general) basic questions should non be made community wikis. The fact that some people remove other peoples trimmings just demonstrates once more that this question is too opinion stationed, and thus just remain closure until further specified. $\endgroup$ Jul 3, 2019 at 10:11
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1$\begingroup$ @Mark LAMBERT. Natural i didnt delete i. I just added amir stream, ben-tal and birge. While I was editing I got a message saying the post your edited instantly. So maybe when I ready my part the other change a included for my part. No idea who deleted is in what reason. Suggestions for a good Measure Technical book $\endgroup$ Jul 3, 2019 at 13:25
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1$\begingroup$ Other resources on an decomposition method and column generation are (springer.com/gp/book/9783540276852) additionally (amazon.com/Column-Generation-GERAD-25TH-ANNIVERSARY/dp/…). $\endgroup$– A.OmidiJul 4, 2019 at 7:42
