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Optimization Modeling with Spreadsheets, Second Edition by Kenneth R. Baker

Optimization Modeling with Spreadsheets, Second Edition Kenneth R. Baker ebook
Page: 0
Format: pdf
Publisher: Wiley
ISBN: 0470928638, 9780470928639

An example of this is how to model disjunctive The blog article Reading multi-dimensional Excel data with ExcelRetrieveTable gives a more detailed explanation about the different ranges (i.e. DataRange, RowRange, and ColumnRange) that you have to provide with the Excel/Spreadsheet functions. Is Microsoft Excel (including VBA) a viable platform for the development of complex mathematical optimization models and algorithms? During the development of an algorithm, the performance comes second. Every version of Microsoft Excel comes with a feature providing algorithms to solve linear and non-linear problems (the Simplex-algorithm and the Generalized Reduced Gradient Method): The Solver add-in. In the AIMMS Optimization Modeling book there are two chapters (6 and 7) about (Integer) Linear Programming tricks. Morgan Kaufmann is excited to announce the forthcoming publication of Semantic Web for the Working Ontologist, 2nd Edition: Effective Modeling in RDFS and OWL by Dean Allemang & James Hendler. GoodRelations – Ontology for eCommerce. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the Simon Benninga's 3rd Edition of Financial Modelling with Excel is the single most useful book for finance students and professionals ever published and continues to offer an outstanding reference and textbook for students and practitioners of applied finance. Frontline Systems is shipping new Version 12.0 of its Solvers for Excel, including Risk Solver Platform V12.0, its flagship tool for simulation and risk analysis, conventional and stochastic optimization, subset products Premium Frontlines Evolutionary Solver has been very popular with users ever since it was first introduced, because it can find good solutions for Excel models that dont satisfy the requirements of linear programming or even nonlinear optimization.