From buying and selling PC hardware to product development and selling services, "Start Your Own Computer Business: The Unembellished Guide" offers a realistic picture of making it on your own. Bestselling author, Morris Rosenthal, has 15 years of experience in the computer business, building and repairing thousands of PCs and helping hundreds of customers. The book mixes practical advice and cautions with real-world anecdotes of successes and failures. Dollars and cents play a prominent role in the book, as Rosenthal stresses that the real challenge of succeeding in the computer business is the business part of the equation. Managing employees, inventory and scarce financial resources are covered, along with how to remain sane and when to quit. The book is illustrated with a series of original cartoons on the computer business subject.
Building a computer can be a very rewarding experience. You can learn a lot about computer hardware by building a computer. Aside from that, you get a totally personalized computer that no OEM (Original Equipment Manufacturer) could match, and there is also the opportunity to save a lot of money in the process. The only downside is that you won't have any technical support number to ring, or any centralized warranty service (each part will have its own warranty/return policy), so there may be a chance that you will have to pay more for service (if you don't repair yourself). So now you've been sold on the merits, read on to find out how...
This is the first comprehensive review of the edge-to-edge technique for mitral repair, which was introduced into the surgical armamentarium in 1991 by one of the authors, Ottavio Alfieri. The surgical technique employed in edge-to-edge repair today provides the basis for the only reliable method of percutaneous correction of degenerative mitral regurgitation. The book traces the evolution of the edge-to-edge technique from a surgical to a percutaneous approach, documenting indications, contraindications, technical aspects, controversies and clinical outcomes. Detailed attention is devoted to the MitraClip procedure, which reproduces the Alfieri stitch percutaneously and has to date been used in more than 13,000 patients worldwide. The state of the art in MitraClip therapy is described, with clear explanation of when and how to use the MitraClip system. The reader will learn all aspects of percutaneous edge-to-edge repair, which is recommended for use in carefully selected patients in the new ESC/EACTS guidelines for the management of valvular heart disease and in the ESC guidelines on heart failure. Clinical application of the edge-to-edge technique for mitral repair by percutaneous methods has opened a new age in the fascinating field of reconstructive mitral valve surgery. The group at San Raffaele Hospital, Milan, has accumulated by far the largest experience in the world with the technique and over the years has been very active in its promotion and scientific evaluation. This book reflects that depth of knowledge and will be of great interest to cardiac surgeons and interventional and clinical cardiologists.
This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
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