Description

Book Synopsis

Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as graphs, by detailing, for each studied problem, the set of nodes and the set of edges. This graph modeling is an incentive for designing a platform that integrates all optimization components in order to output the best solution regarding the parameters' tuning. The authors propose in their analysis, for optimization problems, to provide their graphical modeling and mathematical formulation and expose some of their variants. As a solution approaches, an optimizer can be the most promising direction for limited-size instances. For large problem instances, approximate algorithms are the most appropriate way for generating high quality solutions. The authors thus propose, for each studied problem, a greedy algorithm as a problem-specific heuristic and a genetic algorithm as a metaheuristic.



Table of Contents

Contributors, vi

Preface, viii

Section 1: General Review Section

1 Horse of a different color: Peculiarities of equine pharmacology, 3
Lara Maxwell

2 Basics of antimicrobial therapy for the horse, 16
Cynthia Cole

3 Anesthesia and sedation in the field, 44
Jennifer E. Carter

4 Clinical application of equine analgesics, 63
Sheilah A. Robertson and L. Chris Sanchez

5 Pharmacology of nonsteroidal anti-inflammatory drugs, 76
Cynthia Cole

6 Parasiticides for use in horses, 85
Tad Coles and Randy Lynn

7 Foals are not just mini horses, 99
K. Gary Magdesian

8 Fluids and electrolytes for the equine clinician, 118
Brett Tennent-Brown

9 Drug and medication control programs in equine athletes, 131
Scot Waterman and Jennifer Durenburger

Section 2: Therapeutics: A Systems Approach

10 Clinical pharmacology of the respiratory system, 139
Melissa R. Mazan and Michelle L. Ceresia

11 Clinical application of gastrointestinal therapeutics, 183
L. Chris Sanchez

12 Treatment of equine nervous system disorders, 192
Cynthia Cole and Bradford Bentz

13 Clinical pharmacology of the equine musculoskeletal system, 218
Bradford Bentz

14 Therapy of the eye, 254
Amber Labelle

15 Pharmacological treatment of equine endocrine diseases, 270
Dianne McFarlane

16 Equine cardiovascular clinical pharmacology, 279
Meg Sleeper

17 Clinical pharmacology of diseases of the equine urinary system, 291
Nora Nogradi and Balazs Toth

Index, 308

Graph-related Optimization and Decision Support

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    A Hardback by Saoussen Krichen, Jouhaina Chaouachi

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      Publisher: ISTE Ltd and John Wiley & Sons Inc
      Publication Date: Publication Date: 19/09/2014
      ISBN13: 9781848217430, 978-1848217430
      ISBN10: 1848217439

      Description

      Book Synopsis

      Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as graphs, by detailing, for each studied problem, the set of nodes and the set of edges. This graph modeling is an incentive for designing a platform that integrates all optimization components in order to output the best solution regarding the parameters' tuning. The authors propose in their analysis, for optimization problems, to provide their graphical modeling and mathematical formulation and expose some of their variants. As a solution approaches, an optimizer can be the most promising direction for limited-size instances. For large problem instances, approximate algorithms are the most appropriate way for generating high quality solutions. The authors thus propose, for each studied problem, a greedy algorithm as a problem-specific heuristic and a genetic algorithm as a metaheuristic.



      Table of Contents

      Contributors, vi

      Preface, viii

      Section 1: General Review Section

      1 Horse of a different color: Peculiarities of equine pharmacology, 3
      Lara Maxwell

      2 Basics of antimicrobial therapy for the horse, 16
      Cynthia Cole

      3 Anesthesia and sedation in the field, 44
      Jennifer E. Carter

      4 Clinical application of equine analgesics, 63
      Sheilah A. Robertson and L. Chris Sanchez

      5 Pharmacology of nonsteroidal anti-inflammatory drugs, 76
      Cynthia Cole

      6 Parasiticides for use in horses, 85
      Tad Coles and Randy Lynn

      7 Foals are not just mini horses, 99
      K. Gary Magdesian

      8 Fluids and electrolytes for the equine clinician, 118
      Brett Tennent-Brown

      9 Drug and medication control programs in equine athletes, 131
      Scot Waterman and Jennifer Durenburger

      Section 2: Therapeutics: A Systems Approach

      10 Clinical pharmacology of the respiratory system, 139
      Melissa R. Mazan and Michelle L. Ceresia

      11 Clinical application of gastrointestinal therapeutics, 183
      L. Chris Sanchez

      12 Treatment of equine nervous system disorders, 192
      Cynthia Cole and Bradford Bentz

      13 Clinical pharmacology of the equine musculoskeletal system, 218
      Bradford Bentz

      14 Therapy of the eye, 254
      Amber Labelle

      15 Pharmacological treatment of equine endocrine diseases, 270
      Dianne McFarlane

      16 Equine cardiovascular clinical pharmacology, 279
      Meg Sleeper

      17 Clinical pharmacology of diseases of the equine urinary system, 291
      Nora Nogradi and Balazs Toth

      Index, 308

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