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Faire une suggestion Affiner la rechercheIntroduction to mathematical programming / Winston , Wayne L.
Titre : Introduction to mathematical programming : application and algorithms Type de document : texte imprimé Auteurs : Winston , Wayne L., Auteur Mention d'édition : 2 éd. Editeur : Belmont : Duxbury press Année de publication : 1995 Importance : XIV-818 P. ISBN/ISSN/EAN : 0-534-23046-6 Langues : Français (fre) Mots-clés : Recherche opérationnelle .Programmation mathématique Index. décimale : 519.854 Programmation discrète Résumé : Focusing on deterministic models, this book is designed for the first half of an operations research course. A subset of Winston's best-selling OPERATIONS RESEARCH, INTRODUCTION TO MATHEMATICAL PROGRAMMING offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level. Appropriate for undergraduate majors, MBAs, and graduate students, it emphasizes model-formulations and model-building skills as well as interpretation of computer software output. LINDO, GINO, and LINGO software packages are available with the book in Windows, Macintosh or DOS versions. Linear algebra prerequisite. ISBN 13 : 978-0534230463 Introduction to mathematical programming : application and algorithms [texte imprimé] / Winston , Wayne L., Auteur . - 2 éd. . - Belmont : Duxbury press, 1995 . - XIV-818 P.
ISBN : 0-534-23046-6
Langues : Français (fre)
Mots-clés : Recherche opérationnelle .Programmation mathématique Index. décimale : 519.854 Programmation discrète Résumé : Focusing on deterministic models, this book is designed for the first half of an operations research course. A subset of Winston's best-selling OPERATIONS RESEARCH, INTRODUCTION TO MATHEMATICAL PROGRAMMING offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level. Appropriate for undergraduate majors, MBAs, and graduate students, it emphasizes model-formulations and model-building skills as well as interpretation of computer software output. LINDO, GINO, and LINGO software packages are available with the book in Windows, Macintosh or DOS versions. Linear algebra prerequisite. ISBN 13 : 978-0534230463 Exemplaires
Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 044671 519.854 WIN Papier Bibliothèque Centrale Mathématiques Disponible Optimization modeling with LINDO / linus Schrage
Titre : Optimization modeling with LINDO Type de document : texte imprimé Auteurs : linus Schrage, Auteur Mention d'édition : 4 éd. Editeur : Belmont : Duxbury press Année de publication : 1997 Importance : X-470 p. Présentation : ill. Format : 25 cm Accompagnement : 2 Disq. ISBN/ISSN/EAN : 978-0-534-34857-1 Langues : Anglais (eng) Mots-clés : Industrial management -- Mathematical models -- Case studies
Industrial management -- Linear programming -- Case studies
Business mathematics -- Linear programming -- Case studies
Industrial management -- Linear programming -- Computer programs
Schaege linus LINDOIndex. décimale : 65.012.4 Management. Direction. Techniques et méthodes de gestion Résumé : This successful book and software package--used by thousands of students and companies worldwide--shows readers how to apply optimization modeling to real business and industrial problems using LINDO for Windows. Optimization modeling with LINDO [texte imprimé] / linus Schrage, Auteur . - 4 éd. . - Belmont : Duxbury press, 1997 . - X-470 p. : ill. ; 25 cm + 2 Disq.
ISBN : 978-0-534-34857-1
Langues : Anglais (eng)
Mots-clés : Industrial management -- Mathematical models -- Case studies
Industrial management -- Linear programming -- Case studies
Business mathematics -- Linear programming -- Case studies
Industrial management -- Linear programming -- Computer programs
Schaege linus LINDOIndex. décimale : 65.012.4 Management. Direction. Techniques et méthodes de gestion Résumé : This successful book and software package--used by thousands of students and companies worldwide--shows readers how to apply optimization modeling to real business and industrial problems using LINDO for Windows. Exemplaires
Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 048716 65.012.4 SCH Papier Bibliothèque Centrale Management - Gestion Disponible En bon état Regression with graphics / Lawrence C. Hamilton
Titre : Regression with graphics : a second course in applied statistics Type de document : texte imprimé Auteurs : Lawrence C. Hamilton, Auteur Editeur : Belmont : Duxbury press Année de publication : 1992 Importance : VII-XV-363 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-0-534-15900-9 Note générale : Bibliogr. pp. 357-359.-Index. pp.361-363 Langues : Français (fre) Mots-clés : Statistisk analyse
Grafisk afbildning
RegressionsanalyseIndex. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Note de contenu : Sommaire:
1- Variable distributions
2- Bivariate regresion analysis
3- Basics of multiple regression
4- Regression criticism
5- Fitting curves
6- Robust regression
7- Logit regression
8- Principal components and factor analysisRegression with graphics : a second course in applied statistics [texte imprimé] / Lawrence C. Hamilton, Auteur . - Belmont : Duxbury press, 1992 . - VII-XV-363 p. : ill. ; 26 cm.
ISBN : 978-0-534-15900-9
Bibliogr. pp. 357-359.-Index. pp.361-363
Langues : Français (fre)
Mots-clés : Statistisk analyse
Grafisk afbildning
RegressionsanalyseIndex. décimale : 519.233.5 Analyse de la corrélation. Analyse de régression Résumé : This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Note de contenu : Sommaire:
1- Variable distributions
2- Bivariate regresion analysis
3- Basics of multiple regression
4- Regression criticism
5- Fitting curves
6- Robust regression
7- Logit regression
8- Principal components and factor analysisExemplaires
Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 044677 519.233.5 HAM Papier Bibliothèque Centrale Mathématiques Disponible Concepts in probability and stochastic modeling / James J. Higgins
Titre : Concepts in probability and stochastic modeling Type de document : texte imprimé Auteurs : James J. Higgins, Auteur ; Sallie Keller-McNulty, Auteur Editeur : Belmont : Duxbury press Année de publication : 1995 Collection : An alexandre kugushev book Importance : III-XI-420 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-0-534-23136-1 Note générale : Bibliogr. 514 p.-Index. pp.417-420 Langues : Français (fre) Mots-clés : Probabilité
Markov Comptage
Processus Queuing
Systèmes modèles
Modèles de fiabilitéIndex. décimale : 519.21 Théorie des probabilités.Processus stochastiques Résumé : This text stresses modern ideas, including simulation and interpretation of results. It focuses on the aspects of probability most relevant to applications, such as stochastic modeling, Markov chains, reliability, and queuing. Note de contenu : Sommaire:
1. Basic Probability
2. Discrete Random Variables
3. Special Discrete Random Variables
4. Markov Chains
5. Continuous Random Variables
6. Special Continuous Random Variables
7. Markov Counting and Queuing Processes
8. The Distribution of Sums of Random Variables
9. Selected Systems Models 10. Reliability ModelsConcepts in probability and stochastic modeling [texte imprimé] / James J. Higgins, Auteur ; Sallie Keller-McNulty, Auteur . - Duxbury press, 1995 . - III-XI-420 p. : ill. ; 26 cm. - (An alexandre kugushev book) .
ISBN : 978-0-534-23136-1
Bibliogr. 514 p.-Index. pp.417-420
Langues : Français (fre)
Mots-clés : Probabilité
Markov Comptage
Processus Queuing
Systèmes modèles
Modèles de fiabilitéIndex. décimale : 519.21 Théorie des probabilités.Processus stochastiques Résumé : This text stresses modern ideas, including simulation and interpretation of results. It focuses on the aspects of probability most relevant to applications, such as stochastic modeling, Markov chains, reliability, and queuing. Note de contenu : Sommaire:
1. Basic Probability
2. Discrete Random Variables
3. Special Discrete Random Variables
4. Markov Chains
5. Continuous Random Variables
6. Special Continuous Random Variables
7. Markov Counting and Queuing Processes
8. The Distribution of Sums of Random Variables
9. Selected Systems Models 10. Reliability ModelsExemplaires
Code-barres Cote Support Localisation Section Disponibilité Etat_Exemplaire 044676 519.21 HIG Papier Bibliothèque Centrale Mathématiques Disponible