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Record Nr. |
UNINA9910458622403321 |
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Autore |
Holtsnider Bill <1956-> |
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Titolo |
IT manager's handbook [[electronic resource] ] : getting your new job done / / Bill Holtsnider, Brian D. Jaffe |
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Pubbl/distr/stampa |
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New York, : Morgan Kaufman Publishers, c2006 |
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ISBN |
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1-280-70762-3 |
9786610707621 |
0-08-046574-9 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (626 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Industrial management - Data processing |
Management information systems |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; About the Authors; Title page; Copyright Page; Table of Contents; Brief Table of Contents; Complete Table of Contents; Preface; Part One: The Business of Being an IT Manager; Chapter One: The Role of an IT Manager; 1.1 Just What Does an IT Manager Do?; Why All That Change and Flexibility Is Good; Why All That Change and Flexibility Is Bad; 1.2 Managers in General; General Definition of a Manager; Styles of Management; The Hidden Work of Management; Resentment Toward Management; Babysitting versus Managing; Politics; 1.3 The Strategic Value of the IT Department |
Applications Development versus Technical OperationsIT Department Goals; The Value of IT Managers; 1.4 Develop an IT Strategy; Determine Who Your Team Members Are; Determine How Important Technology Is to Your Organization; Determine Who Your Customers Are and What Their Needs Are; Keep Your Department Central to the Company's Operations; 1.5 Additional Resources; Web Sites; Books and Articles; Chapter Two: Managing Your IT Team; 2.1 Keeping Employees Focused; Establish Priorities; Communicate with Your Team; Company Mission; 2.2 Avoiding Burnout |
Be as Clear as Possible About Your Real PrioritiesMake Your Employees |
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Aware of the Dangers of Burnout; Deal with the Situation; 2.3 Employee Training; Cost; Need; Employee Morale; Scheduling Demands; How Do You Know When Your Employees Need Training?; Certification; What If the Employee Takes a Training Class, and Then Uses His New-Found Skills to Find Another Job?; Non-Technical Training; Maximizing the Value of Training; 2.4 Performance Reviews; Key Areas of Evaluation; Specific Evaluation Statements; Guidelines for Reviews; Negative Reviews; Have Employees Review Themselves |
""360"" ReviewsHow to Conduct the Actual Review Discussion; 2.5 Additional Resources; Web Sites; Books and Articles; Chapter Three: Staffing Your IT Team; 3.1 Why IT Managers Need to Deal with Hiring People; HR Department's Role; Justifying a Hire; Start with Internal and External Referrals; Internal versus External Hires; Should You Hire a Full-time Employee or a Consultant?; 3.2 Write a Position Description; Position Descriptions versus Contracts; General Requirements; Advertising Options; 3.3 Recruiters; Finding the Right Recruiter; 3.4 Selecting Candidates; Reviewing Résumés |
Telephone ScreeningAt What Level Should I Interview?; Narrowing Down the List; General Interview Guidelines; Prepare a List of Questions; Who Else Should Interview a Candidate?; Key Concepts for a Good Technical Interview; Rank Criteria; The Value of Certification; Education; Checking References; Common Hiring Mistakes; Offering the Correct Amount for an IT Position; 3.5 Outsourcing and Offshore Outsourcing; Offshore Outsourcing Overview; 3.6 Additional Resources; Web Sites; Books and Articles; Chapter Four: Project Management; 4.1 Projects and ""Project Management"": A Quick Overview |
The Value of Project Management |
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Sommario/riassunto |
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Many technical professionals are tossed into their new position of managing an IT department without enough training or experience - let alone a clear idea of what is expected of them. Other technicians are trying to decide if they should join the ranks of management, and want the real facts about managing - and managing other technical pros - before they decide.To compound the issue, most companies have become highly dependent on their IT departments for their day-to-day business operations - often including revenue generation - so the tasks are critical and the learning curve is stee |
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2. |
Record Nr. |
UNINA9911035053603321 |
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Autore |
Dostál Zdeněk |
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Titolo |
Optimal Quadratic Programming and QCQP Algorithms with Applications / / by Zdeněk Dostál |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[2nd ed. 2025.] |
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Descrizione fisica |
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1 online resource (669 pages) |
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Collana |
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Springer Optimization and Its Applications, , 1931-6836 ; ; 23 |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Calculus of variations |
Operations research |
Management science |
Engineering mathematics |
Engineering - Data processing |
Numerical analysis |
Calculus of Variations and Optimization |
Operations Research, Management Science |
Mathematical and Computational Engineering Applications |
Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Part I Background -- Chapter 1 Linear Algebra -- Chapter 2 Optimization -- Part II Basic Algorithms -- Chapter 3 Gradient Methods -- Chapter 4 Conjugate Gradients as Direct Method -- Chapter 5 Gradient Projection -- Chapter 6 From Penalty to Exact Augmented Lagrangians -- Chapter 7 Active Sets with Finite Termination -- Part III Optimal Algorithms -- Chapter 8 Conjugate Gradients as Iterative Method -- Chapter 9 SMALE for Equality Constraints -- Chapter 10 MPRGP for Bound Constraints -- Chapter 11 MPGP and PBBF for Separable QCQP -- Chapter 12 Solvers for Separable and Equality QP/QCQP Problems -- Part IV Case Studies -- Chapter 13 Elliptic Variational Inequalities -- Chapter 14 Contact Problem with Friction -- |
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Chapter 15 Model Predictive Control -- Chapter 16 Support Vector Machines -- Chapter 17 PERMON and ESPRESO Software -- References. |
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Sommario/riassunto |
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This book presents cutting-edge algorithms for solving large-scale quadratic programming (QP) and/or QPSQP. While applying these algorithms to the class of QP problems with the spectrum confined to a positive interval, the theory guarantees finding the prescribed precision solution through a uniformly bounded number of simple iterations, like matrix-vector multiplications. Key concepts explored include the active set strategy, spectral gradients, and augmented Lagrangian methods. The book provides a comprehensive quantitative convergence theory, avoiding unspecified constants. Through detailed numerical experiments, the author demonstrates the algorithms' superior performance compared to traditional methods, especially in handling large problems with sparse Hessian. The performance of the algorithms is shown on large-scale (billions of variables) problems of mechanics, optimal control, and support vector machines. Ideal for researchers and practitioners in optimization and computational mathematics, this volume is also an introductory text and a reference for advanced studies in nonlinear programming. Whether you're a scholar in applied mathematics or an engineer tackling complex optimization challenges, this book offers valuable insights and practical tools for your work. |
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