Material: Weiteres Material, Viskose; Muster: Unifarben; Farben pro Pack: Eine Farbe pro Pack; Design: Elastischer Bund/Saum; Passform: Regular; Länge: Kurz/Mini; Leibhöhe: Mid Waist; Elastizität: Leicht elastisch; Pflegehinweise: 30 C Wäsche, Nicht trocknergeeignet, Nicht chemisch reinigen, Nicht heiß bügeln, Nicht bleichen
A Descriptive Model of Detailed Problem-Finding Behavior (Classic Reprint): Ashok Malhotra
Material: Jersey; Muster: Unifarben; Trägerart: Spaghettiträger; Ausschnitt: V-Ausschnitt; Farben pro Pack: Eine Farbe pro Pack; Design: Abgesteppter Saum/Kante, Gerader Saum; Passform: Normale Passform; Länge: Normale Länge; Ärmellänge: Ärmellos; Elastizität: Leicht elastisch; Pflegehinweise: 30 C Wäsche, Nicht trocknergeeignet, Nicht chemisch reinigen, Nicht heiß bügeln, Nicht bleichen
Benefit from a reliable collection of the most valuable business models, including detailed coverage of each model, expertly explained theory, as well as case studies and supporting templates.
Materialzusammensetzung , 70% Viscose,25% Polyamid,5% Elasthan, Pflegehinweise , Maschinenwäsche, Stil , sportlich, Passform , regular fit, Herstellerpassform , Jogg Pants, Besondere Merkmale , Joggerpants,
An extensive guide to help you analyze data more effectively. Learn more about how to analyze data now! Explore the field of data science and the way to analyze big and small data. This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. You’ll learn, among others:Linear, probabilistic, and other models to use in the visualization and analysis of data you have found.Systems such as clustering, viewing genetic algorithms, and neural methods.Assessment analysis strategies, organization, and numeric predictions.Modeling data and imagining.The three Vs of big data and what to do with them.Software recommendations and applications.What to do exactly with big data.Basics, risks, and tactics to analyze data.Social network data analysis.Purposes for health care, business, and industrial data.Tips on analyzing decision trees, regression, and sentiment.Attributes, classifications, data sets, and kinds of learning you must recognize to fully be aware of that with which you are dealing.Data quality and data quantity thoughts.Data-mining procedure steps, including CRISP-DM and SEMMA.Machine algorithms and interesting sidenotes regarding them.Instructions, infrastructure, edition, and other methods.Perception and cognition basics that apply to data.Effectual uses of regression, database querying, machine learning, and data warehousing.Data creates truths you can trust in if you draw the right conclusions. Drawing those conclusions involves clear skills and a background in information that leads to t 1. Language: English. Narrator: Ryan Simpson. Audio sample: http://samples.audible.de/bk/acx0/134442/bk_acx0_134442_sample.mp3. Digital audiobook in aax.
Materialzusammensetzung , Obermaterial: 65% Viskose, 35% Polyester, Pflegehinweise , Maschinenwäsche, Optik , unifarben, Leibhöhe , normal, Beinform , gerade, Schnittform Länge , extrakurz,
Origami Model Airplanes:Create Amazingly Detailed Model Airplanes Using Basic Origami Techniques!: Origami Book with 23 Designs & Plane Histories Patrick Wang
Materialzusammensetzung , 100% Polyamid, Pflegehinweise , Maschinenwäsche, Stil , elegant, Ausschnitt , Rundhals, Ärmel , Kurzarm, Passform , Basic schmal, Herstellerpassform , T-Shirt, Besondere Merkmale , Cut-Out Top,
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms. The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online. No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.
Do you want to learn how to use a power pressure cooker? Do you want to know how to prepare the most delicious meals? The Power Pressure Cooker XL is the next trendy kitchen addition. People are happy about this product´s efficiency and convenience. A typical pressure cooker that uses electric power contains an inner pot. This pot has different sizes, which determine how big or small the outer casing would be. Usually, their holding capacities range from three to six liters. This does not mean you cannot find larger inner pots. These are available, but at a higher price. To ensure durability, manufacturers make some inner pots with stainless steel and clad their bottoms with copper. This ensures consistent heating when using the electric cooker. In addiction, a person who would rather pay less money can get a model with an aluminium vessel. The only problem it would give him or her is cleaning, because aluminium is usually not dishwasher safe. You can easily remove the pan and return it without any hassles. Another feature your electric pressure cooker would have is a lid with a tight-sealing gasket. When fastened, the lid and the inner pot create a very airtight compared. When you connect the pressure cooker to the power supply, the inner pot would warm up. This heat then increases the pressure inside it. If the lid were not tight enough, the pressure being generated in the compartment would force it up. Here is a preview of what you´ll learn:How to cook healthy mealsHow to cook pork, beef, fishYou will find many amazing recipes with detailed instructionsBest practices in order to make incredible mealsRecipes with detailed number of servingsBenefits of cooking with this methodHow to cook amazing desserts for your familyTips and tricks with the power pressure cookerMuch, much more!Act now! 1. Language: English. Narrator: Brian Meslar. Audio sample: http://samples.audible.de/bk/acx0/119914/bk_acx0_119914_sample.mp3. Digital audiobook in aax.
This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine-the core of any nonlinear model predictive controller-works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: - a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; - a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; - an extended discussion of stability and performance using approximate updates rather than full optimization; - replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and - further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.
This comprehensive and detailed reference guide to Rolexs sports model watches is an indispensable asset to watch collectors and dealers. The only work of its kind, it covers the history of the Submariner, Explorer, GMT-Master, Turn-O-Graph, Milgauss, an
The book gives readers a practical introduction to reactive programming with Actor Model. The reader is given a brief but detailed background on using the Scala programming language and how to program using Scala and the Akka toolkit. After covering the basics and establishing a foundation, the book takes readers through a series of message-based integration cookbook solutions, including: Messaging Systems, Messaging Channels, Message Construction, Message Routing, Message Transportation, Message Endpoints, and System Management. The book follows the proven method presented in ´´Enterprise Integration Patterns´´ by Gregor Hohpe and Bobby Woolf, but gives solutions based on the use of Scala and Akka.