000			02686nam a22002657a 4500
005			20240206175356.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a9783030689308
082			_a003.3 _bBYN
245			_aPyomo-optimization modeling in Python
250			_a3rd ed.
260			_bSpringer _aCham _c2021
300			_axvii, 225 p.
365			_aEURO _b49.99
490			_aSpringer Optimization and Its Applications (SOIA, volume 67 )
520			_aThis book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming. Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. (https://link.springer.com/book/10.1007/978-3-319-58821-6#about-this-book)
650			_aComputer simulation _915123
650			_aPython (Computer program language) _913655
650			_aMathematical optimization _915124
650			_aComputer software _913182
700			_aBynum, Michael _913971
700			_aLaird, Carl D. _915125
700			_aWatson, Jean-Paul _915126
942			_cBK _2ddc
999			_c5703 _d5703