By Francis Marion Webster Jr.
Former editor-in-chief for the venture administration Institute (PMI®), Francis M. Webster Jr. refers to himself as "the Olde Curmudgeon." After analyzing his new booklet, it truly is tricky to see how this description applies. What Webster can provide in PM one zero one in accordance with the Olde Curmudgeon: An advent to the elemental thoughts of undertaking administration is insider info disbursed with a pleasant arm-around-the-shoulders procedure. it is a publication of veteran do’s and don’ts, generously shared with amateur venture managers. Webster’s ardour is glossy undertaking administration, these points of the sector no longer given enough realization in the previous. You’ll examine the 9 crucial talents of recent undertaking administration, making this a vital publication in your undertaking administration library. Writing because the "Olde Curmudgeon," Webster shall we new undertaking managers in at the tips of the alternate. by means of following his suggestion, the so much green beginner may still glance reliable. In PM one zero one, Webster stocks his well-reasoned, well-organized observations. This rigorously written guide is stuffed with principles, differences, principles, and metaphors—even commandments. PM a hundred and one is key for brand new undertaking managers who have to come off the blocks at the correct foot speedy!
By David R. Brooks
• bargains a operating wisdom of Hypertext Preprocessor, crucial for server-side programming
• comprises exact code examples to lead the reader
• comprises numerous entire purposes that exhibit the way to make the most of server-side programming capabilities
• super obtainable, and excellent for self-study
• offers an author-supported supplementary site containing code examples (www.pages.drexel.edu/~brooksdr/DRB_web_page/BookCode/PHPBookCode.htm)
• at once addresses the desires of engineers, scientists and dealing pros through explaining accurately these parts of Hypertext Preprocessor required
This concise applications-oriented textual content is an outstanding shortcut to studying the necessities of personal home page and is perfect for self-study or direction use.
By Howard Karloff
To this reviewer’s wisdom, this can be the 1st ebook obtainable to the higher department undergraduate or starting graduate scholar that surveys linear programming from the Simplex Method…via the Ellipsoid set of rules to Karmarkar’s set of rules. additionally, its viewpoint is algorithmic and therefore it presents either a historical past and a case heritage of labor in complexity concept. The presentation is admirable; Karloff's sort is casual (even funny now and then) with no sacrificing something invaluable for realizing. Diagrams (including horizontal brackets that crew phrases) reduction in offering readability. The end-of-chapter notes are helpful...Recommended hugely for acquisition, because it isn't just a textbook, yet is additionally used for self sustaining interpreting and study.
The reader can be good served via interpreting the monograph from conceal to hide. the writer succeeds in delivering a concise, readable, comprehensible creation to trendy linear programming.
—Mathematics of Computing
This is a textbook meant for complicated undergraduate or graduate scholars. It comprises either idea and computational perform. After initial dialogue of linear algebra and geometry, it describes the simplex set of rules, duality, the ellipsoid set of rules (Khachiyan’s set of rules) and Karmarkar’s set of rules.
The exposition is apparent and straightforward; it additionally includes many routines and illustrations.
A self-contained, concise mathematical advent to the speculation of linear programming.
—Journal of financial Literature
By Steven Holzner
By Ralph O. Mueller
During the final 20 years, structural equation modeling (SEM) has emerged as a robust multivariate facts research instrument in social technological know-how study settings, specifically within the fields of sociology, psychology, and schooling. even supposing its roots should be traced again to the 1st 1/2 this century, whilst Spearman (1904) built issue research and Wright (1934) brought course research, it used to be no longer until eventually the Seventies that the works through Karl Joreskog and his affiliates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) started to make common SEM strategies available to the social and behavioral technology examine groups. this day, with the improvement and extending avail skill of SEM computing device courses, SEM has turn into a well-established and revered info research strategy, incorporating a number of the conventional research suggestions as distinct instances. cutting-edge SEM software program programs corresponding to LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) deal with quite a few usual least squares regression designs in addition to complicated structural equation types concerning variables with arbitrary distributions. regrettably, many scholars and researchers hesitate to take advantage of SEM tools, might be as a result a bit of complicated underlying statistical repre sentation and idea. in my view, social technology scholars and researchers can profit significantly from buying wisdom and talents in SEM because the methods-applied appropriately-can supply a bridge among the theo retical and empirical points of behavioral research.
By Jennie Si, Andrew G. Barto, Visit Amazon's Warren B. Powell Page, search results, Learn about Author Central, Warren B. Powell, , Don Wunsch
- A entire source to Approximate Dynamic Programming (ADP), together with online simulation code
- Provides an academic that readers can use to begin imposing the training algorithms supplied within the ebook
- Includes principles, instructions, and up to date effects on present examine concerns and addresses functions the place ADP has been effectively carried out
- The participants are best researchers within the box
Chapter 1 ADP: pursuits, possibilities and ideas (pages 3–44): Paul Werbos
Chapter 2 Reinforcement studying and Its dating to Supervised studying (pages 45–63): Andrew G. Barto and Thomas G. Dietterich
Chapter three Model?Based Adaptive Critic Designs (pages 65–95): Silvia Ferrari and Robert F. Stengel
Chapter four suggestions within the Use of Adaptive Critics for keep watch over (pages 97–124): George G. Lendaris and James C. Neidhoefer
Chapter five Direct Neural Dynamic Programming (pages 125–151): Jennie Si, Lei Yang and Derong Liu
Chapter 6 The Linear Programming method of Approximate Dynamic Programming (pages 153–178): Daniela Pucci de Farias
Chapter 7 Reinforcement studying in huge, High?Dimensional nation areas (pages 179–202): Greg Grudic and Lyle Ungar
Chapter eight Hierarchical choice Making (pages 203–232): Malcolm Ryan
Chapter nine more suitable Temporal distinction tools with Linear functionality Approximation (pages 233–259): Dimitri P. Bertsekas, Vivek S. Borkar and Angelia Nedich
Chapter 10 Approximate Dynamic Programming for High?Dimensional source Allocation difficulties (pages 261–283): Warren B. Powell and Benjamin Van Roy
Chapter eleven Hierarchical ways to Concurrency, Multiagency, and Partial Observability (pages 285–310): Sridhar Mahadevan, Mohammad Ghavamzadeh, Khashayar Rohanimanesh and Georgias Theocharous
Chapter 12 studying and Optimization — From a approach Theoretic viewpoint (pages 311–335): Xi?Ren Cao
Chapter thirteen strong Reinforcement studying utilizing Integral?Quadratic Constraints (pages 337–358): Charles W. Anderson, Matt Kretchmar, Peter younger and Douglas Hittle
Chapter 14 Supervised Actor?Critic Reinforcement studying (pages 359–380): Michael T. Rosenstein and Andrew G. Barto
Chapter 15 BPTT and DAC — a typical Framework for comparability (pages 381–404): Danil V. Prokhorov
Chapter sixteen Near?Optimal keep an eye on through Reinforcement studying and Hybridization (pages 405–432): Augustine O. Esogbue and Warren E. Hearnes
Chapter 17 Multiobjective regulate difficulties through Reinforcement studying (pages 433–461): Dong?Oh Kang and Zeungnam Bien
Chapter 18 Adaptive Critic dependent Neural community for Control?Constrained Agile Missile (pages 463–478): S. N. Balakrishnan and Dongchen Han
Chapter 19 functions of Approximate Dynamic Programming in strength structures keep watch over (pages 479–515): Ganesh ok Venayagamoorthy, Donald C Wunsch and Ronald G Harley
Chapter 20 powerful Reinforcement studying for Heating, air flow, and air con regulate of constructions (pages 517–534): Charles W. Anderson, Douglas Hittle, Matt Kretchmar and Peter Young
Chapter 21 Helicopter Flight keep an eye on utilizing Direct Neural Dynamic Programming (pages 535–559): Russell Enns and Jennie Si
Chapter 22 towards Dynamic Stochastic optimum energy movement (pages 561–598): James A. Momoh
Chapter 23 keep an eye on, Optimization, protection, and Self?healing of Benchmark energy platforms (pages 599–634): James A. Momoh and Edwin Zivi
By Maurice Sharp
Studying iOS Developmentis the right first publication for each new iOS 7 developer. It promises a whole starting place for iOS improvement, together with an advent to the Objective-C language, Xcode improvement instruments, best-practice person interface improvement, and top practices for all elements of app improvement and deployment.
Throughout Learning iOS improvement, you discover the iOS improvement approach as you create and extend a convenient motor vehicle valet app. The hands-on initiatives show you how to create significant code once attainable, construction self assurance and mastery. The annotated code listings paintings with all of the most up-to-date iOS expertise, so you’ll be able to bounce into this interesting improvement box.