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Título : An Economic Interpretation of Linear Programming Tipo de documento: documento electrónico Autores: Paris, Quirino ; SpringerLink (Online service) Editorial: New York : Palgrave Macmillan US Fecha de publicación: 2016 Otro editor: Imprint: Palgrave Macmillan Número de páginas: XIX, 454 p Il.: online resource ISBN/ISSN/DL: 978-1-137-57392-6 Idioma : Inglés (eng) Palabras clave: Software engineering Economic theory Econometrics Economics Theory/Quantitative Economics/Mathematical Methods Engineering/Programming and Operating Systems Clasificación: 330 Economía en general Resumen: This text covers the basic theory and computation for mathematical modeling in linear programming. It provides a strong background on how to set up mathematical proofs and high-level computation methods, and includes substantial background material and direction. Paris presents an intuitive and novel discussion of what it means to solve a system of equations that is a crucial stepping stone for solving any linear program. The discussion of the simplex method for solving linear programs gives an economic interpretation to every step of the simplex algorithm. The text combines in a unique and novel way the microeconomics of production with the structure of linear programming to give students and scholars of economics a clear notion of what it means, formulating a model of economic equilibrium and the computation of opportunity cost in the presence of many outputs and inputs En línea: http://dx.doi.org/10.1057/9781137573926 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42073 An Economic Interpretation of Linear Programming [documento electrónico] / Paris, Quirino ; SpringerLink (Online service) . - New York : Palgrave Macmillan US : Imprint: Palgrave Macmillan, 2016 . - XIX, 454 p : online resource.
ISBN : 978-1-137-57392-6
Idioma : Inglés (eng)
Palabras clave: Software engineering Economic theory Econometrics Economics Theory/Quantitative Economics/Mathematical Methods Engineering/Programming and Operating Systems Clasificación: 330 Economía en general Resumen: This text covers the basic theory and computation for mathematical modeling in linear programming. It provides a strong background on how to set up mathematical proofs and high-level computation methods, and includes substantial background material and direction. Paris presents an intuitive and novel discussion of what it means to solve a system of equations that is a crucial stepping stone for solving any linear program. The discussion of the simplex method for solving linear programs gives an economic interpretation to every step of the simplex algorithm. The text combines in a unique and novel way the microeconomics of production with the structure of linear programming to give students and scholars of economics a clear notion of what it means, formulating a model of economic equilibrium and the computation of opportunity cost in the presence of many outputs and inputs En línea: http://dx.doi.org/10.1057/9781137573926 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42073 Ejemplares
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Título : Assembly Line Planning and Control Tipo de documento: documento electrónico Autores: Thomopoulos, Nick T ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2014 Otro editor: Imprint: Springer Número de páginas: XVI, 145 p. 10 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-01399-2 Idioma : Inglés (eng) Palabras clave: Business Production management Operations research Decision making Industrial engineering and Management Operation Research/Decision Theory Operating Procedures, Materials Treatment Clasificación: 658 Empresas. Organización de empresas Resumen: Assembly Line Planning and Control describes the basic fundamentals of assembly lines for single model lines, mixed model make-to-stock lines, mixed model make-to-order lines and for one-station assembly. The book shows how to select the quantity of units to schedule for a shift duration, compute the number of operators needed on a line, set the conveyor speed, coordinate the main line with sub-assembly lines, assign the work elements to the operators on the line, sequence the models down the line, sequence the jobs down the line, calculate the part and component requirements for a line and for each station, determine the replenish needs of the parts and components from the suppliers, compute the similarity between the models being produced and show applications, use learning curves to estimate time and costs of assembly, and measure the efficiency of the line. The material is timeless and the book will never become obsolete. The author presents solutions with easy-to-understand numerical examples that can be applied to real-life applications Nota de contenido: Introduction -- Assembly Systems -- Some Fundamentals -- Preliminary Planning -- Inventory Replenishments -- Single Model Assembly -- Mixed Model Make-to-Stock Assembly -- Mixed Model Make-to-Order Assembly -- Postponement Assembly -- One Station Assembly -- Similarity Index -- Learning Curves En línea: http://dx.doi.org/10.1007/978-3-319-01399-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35980 Assembly Line Planning and Control [documento electrónico] / Thomopoulos, Nick T ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2014 . - XVI, 145 p. 10 illus. in color : online resource.
ISBN : 978-3-319-01399-2
Idioma : Inglés (eng)
Palabras clave: Business Production management Operations research Decision making Industrial engineering and Management Operation Research/Decision Theory Operating Procedures, Materials Treatment Clasificación: 658 Empresas. Organización de empresas Resumen: Assembly Line Planning and Control describes the basic fundamentals of assembly lines for single model lines, mixed model make-to-stock lines, mixed model make-to-order lines and for one-station assembly. The book shows how to select the quantity of units to schedule for a shift duration, compute the number of operators needed on a line, set the conveyor speed, coordinate the main line with sub-assembly lines, assign the work elements to the operators on the line, sequence the models down the line, sequence the jobs down the line, calculate the part and component requirements for a line and for each station, determine the replenish needs of the parts and components from the suppliers, compute the similarity between the models being produced and show applications, use learning curves to estimate time and costs of assembly, and measure the efficiency of the line. The material is timeless and the book will never become obsolete. The author presents solutions with easy-to-understand numerical examples that can be applied to real-life applications Nota de contenido: Introduction -- Assembly Systems -- Some Fundamentals -- Preliminary Planning -- Inventory Replenishments -- Single Model Assembly -- Mixed Model Make-to-Stock Assembly -- Mixed Model Make-to-Order Assembly -- Postponement Assembly -- One Station Assembly -- Similarity Index -- Learning Curves En línea: http://dx.doi.org/10.1007/978-3-319-01399-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35980 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Automatic Differentiation: Applications, Theory, and Implementations / SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris (2006)
Título : Automatic Differentiation: Applications, Theory, and Implementations Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2006 Colección: Lecture Notes in Computational Science and Engineering, ISSN 1439-7358 num. 50 Número de páginas: XVIII, 370 p. 108 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-28438-3 Idioma : Inglés (eng) Palabras clave: Mathematics Software engineering Computer science Mathematical analysis Analysis (Mathematics) mathematics Electrical Computational Science and Engineering Engineering/Programming Operating Systems Numerical of Computing Clasificación: 51 Matemáticas Nota de contenido: Perspectives on Automatic Differentiation: Past, Present, and Future? -- Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities -- Solutions of ODEs with Removable Singularities -- Automatic Propagation of Uncertainties -- High-Order Representation of Poincarée Maps -- Computation of Matrix Permanent with Automatic Differentiation -- Computing Sparse Jacobian Matrices Optimally -- Application of AD-based Quasi-Newton Methods to Stiff ODEs -- Reduction of Storage Requirement by Checkpointing for Time-Dependent Optimal Control Problems in ODEs -- Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation -- Flattening Basic Blocks -- The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications -- Semiautomatic Differentiation for Efficient Gradient Computations -- Computing Adjoints with the NAGWare Fortran 95 Compiler -- Transforming Equation-Based Models in Process Engineering -- Extension of TAPENADE toward Fortran 95 -- A Macro Language for Derivative Definition in ADiMat -- Simulation and Optimization of the Tevatron Accelerator -- Periodic Orbits of Hybrid Systems and Parameter Estimation via AD -- Implementation of Automatic Differentiation Tools for Multicriteria IMRT Optimization -- Application of Targeted Automatic Differentiation to Large-Scale Dynamic Optimization -- Automatic Differentiation: A Tool for Variational Data Assimilation and Adjoint Sensitivity Analysis for Flood Modeling -- Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF -- Tangent Linear and Adjoint Versions of NASA/GMAO’s Fortran 90 Global Weather Forecast Model -- Efficient Sensitivities for the Spin-Up Phase -- Streamlined Circuit Device Model Development with fREEDAR® ãnd ADOL-C -- Adjoint Differentiation of a Structural Dynamics Solver -- A Bibliography of Automatic Differentiation En línea: http://dx.doi.org/10.1007/3-540-28438-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34915 Automatic Differentiation: Applications, Theory, and Implementations [documento electrónico] / SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006 . - XVIII, 370 p. 108 illus : online resource. - (Lecture Notes in Computational Science and Engineering, ISSN 1439-7358; 50) .
ISBN : 978-3-540-28438-3
Idioma : Inglés (eng)
Palabras clave: Mathematics Software engineering Computer science Mathematical analysis Analysis (Mathematics) mathematics Electrical Computational Science and Engineering Engineering/Programming Operating Systems Numerical of Computing Clasificación: 51 Matemáticas Nota de contenido: Perspectives on Automatic Differentiation: Past, Present, and Future? -- Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities -- Solutions of ODEs with Removable Singularities -- Automatic Propagation of Uncertainties -- High-Order Representation of Poincarée Maps -- Computation of Matrix Permanent with Automatic Differentiation -- Computing Sparse Jacobian Matrices Optimally -- Application of AD-based Quasi-Newton Methods to Stiff ODEs -- Reduction of Storage Requirement by Checkpointing for Time-Dependent Optimal Control Problems in ODEs -- Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation -- Flattening Basic Blocks -- The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications -- Semiautomatic Differentiation for Efficient Gradient Computations -- Computing Adjoints with the NAGWare Fortran 95 Compiler -- Transforming Equation-Based Models in Process Engineering -- Extension of TAPENADE toward Fortran 95 -- A Macro Language for Derivative Definition in ADiMat -- Simulation and Optimization of the Tevatron Accelerator -- Periodic Orbits of Hybrid Systems and Parameter Estimation via AD -- Implementation of Automatic Differentiation Tools for Multicriteria IMRT Optimization -- Application of Targeted Automatic Differentiation to Large-Scale Dynamic Optimization -- Automatic Differentiation: A Tool for Variational Data Assimilation and Adjoint Sensitivity Analysis for Flood Modeling -- Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF -- Tangent Linear and Adjoint Versions of NASA/GMAO’s Fortran 90 Global Weather Forecast Model -- Efficient Sensitivities for the Spin-Up Phase -- Streamlined Circuit Device Model Development with fREEDAR® ãnd ADOL-C -- Adjoint Differentiation of a Structural Dynamics Solver -- A Bibliography of Automatic Differentiation En línea: http://dx.doi.org/10.1007/3-540-28438-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34915 Ejemplares
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Título : Design of Adaptive Finite Element Software : The Finite Element Toolbox ALBERTA Tipo de documento: documento electrónico Autores: SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Lecture Notes in Computational Science and Engineering, ISSN 1439-7358 num. 42 Número de páginas: XII, 315 p Il.: online resource ISBN/ISSN/DL: 978-3-540-27156-7 Idioma : Inglés (eng) Palabras clave: Mathematics Software engineering Computer science mathematics software Computational Science and Engineering Mathematical of Computing Engineering/Programming Operating Systems Clasificación: 51 Matemáticas Resumen: During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software Nota de contenido: Concepts and abstract algorithms -- Implementation of model problems -- Data structures and implementation En línea: http://dx.doi.org/10.1007/b138692 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35271 Design of Adaptive Finite Element Software : The Finite Element Toolbox ALBERTA [documento electrónico] / SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - XII, 315 p : online resource. - (Lecture Notes in Computational Science and Engineering, ISSN 1439-7358; 42) .
ISBN : 978-3-540-27156-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Software engineering Computer science mathematics software Computational Science and Engineering Mathematical of Computing Engineering/Programming Operating Systems Clasificación: 51 Matemáticas Resumen: During the last years, scientific computing has become an important research branch located between applied mathematics and applied sciences and engineering. Highly efficient numerical methods are based on adaptive methods, higher order discretizations, fast linear and non-linear iterative solvers, multi-level algorithms, etc. Such methods are integrated in the adaptive finite element software ALBERTA. It is a toolbox for the fast and flexible implementation of efficient software for real life applications, based on modern algorithms. ALBERTA also serves as an environment for improving existent, or developing new numerical methods in an interplay with mathematical analysis and it allows the direct integration of such new or improved methods in existing simulation software Nota de contenido: Concepts and abstract algorithms -- Implementation of model problems -- Data structures and implementation En línea: http://dx.doi.org/10.1007/b138692 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35271 Ejemplares
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Título : Developing Statistical Software in Fortran 95 Tipo de documento: documento electrónico Autores: David R. Lemmon ; SpringerLink (Online service) ; Schafer, Joseph L Editorial: New York, NY : Springer New York Fecha de publicación: 2005 Colección: Statistics and Computing, ISSN 1431-8784 Número de páginas: XVI, 324 p Il.: online resource ISBN/ISSN/DL: 978-0-387-28123-0 Idioma : Inglés (eng) Palabras clave: Statistics Software engineering Programming languages (Electronic computers) Computer mathematics Computational intelligence and Computing/Statistics Programs Engineering/Programming Operating Systems Languages, Compilers, Interpreters Intelligence Science Engineering Mathematics Numerical Analysis Clasificación: 51 Matemáticas Resumen: Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs). Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. David R. Lemmon is a Research Associate at The Methodology Center in The Pennsylvania State University's College of Health and Human Development. He holds a Ph.D. in Mechanical Engineering from the University of Cincinnati. His areas of previous work include finite element analysis, automobile crash simulation, and biomechanical modeling of the diabetic foot. Since 2001, he has served as the Center's Senior Statistical Programmer, managing the creation of new statistical software for research and education. Joseph L. Schafer is Associate Professor in the Department of Statistics at The Pennsylvania State University and a Principal Investigator at The Methodology Center. He holds a Ph.D. in Statistics from Harvard University. His areas of research include statistical methods for missing values, analysis of longitudinal data, statistical computing and methodology for studies of substance-use prevention. He has served as a statistical consultant to numerous government agencies and has taught many workshops and short courses on topics related to missing data Nota de contenido: Motivation -- to Modern Fortran -- A Pseudo Object-Oriented Style -- Implementing Computational Routines -- Developing a Console Application -- Creating and Using Dynamic-Link Libraries -- Creating COM Servers -- Creating COM Clients En línea: http://dx.doi.org/10.1007/0-387-28123-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35135 Developing Statistical Software in Fortran 95 [documento electrónico] / David R. Lemmon ; SpringerLink (Online service) ; Schafer, Joseph L . - New York, NY : Springer New York, 2005 . - XVI, 324 p : online resource. - (Statistics and Computing, ISSN 1431-8784) .
ISBN : 978-0-387-28123-0
Idioma : Inglés (eng)
Palabras clave: Statistics Software engineering Programming languages (Electronic computers) Computer mathematics Computational intelligence and Computing/Statistics Programs Engineering/Programming Operating Systems Languages, Compilers, Interpreters Intelligence Science Engineering Mathematics Numerical Analysis Clasificación: 51 Matemáticas Resumen: Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Topics include how to Program in Fortran 95 using a pseudo object-oriented style Write accurate and efficient computational procedures Create console applications Build dynamic-link libraries (DLLs) and Windows-based software components Develop graphical user interfaces (GUIs). Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing. David R. Lemmon is a Research Associate at The Methodology Center in The Pennsylvania State University's College of Health and Human Development. He holds a Ph.D. in Mechanical Engineering from the University of Cincinnati. His areas of previous work include finite element analysis, automobile crash simulation, and biomechanical modeling of the diabetic foot. Since 2001, he has served as the Center's Senior Statistical Programmer, managing the creation of new statistical software for research and education. Joseph L. Schafer is Associate Professor in the Department of Statistics at The Pennsylvania State University and a Principal Investigator at The Methodology Center. He holds a Ph.D. in Statistics from Harvard University. His areas of research include statistical methods for missing values, analysis of longitudinal data, statistical computing and methodology for studies of substance-use prevention. He has served as a statistical consultant to numerous government agencies and has taught many workshops and short courses on topics related to missing data Nota de contenido: Motivation -- to Modern Fortran -- A Pseudo Object-Oriented Style -- Implementing Computational Routines -- Developing a Console Application -- Creating and Using Dynamic-Link Libraries -- Creating COM Servers -- Creating COM Clients En línea: http://dx.doi.org/10.1007/0-387-28123-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35135 Ejemplares
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